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IBM-LTA Media Briefing Coverage Report

Coverage updated as of 05/06/14, 12.30pm

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CONTENTS PAGE Media Coverage ........................................................................................................................................................ 4

1. The Straits Times Online: LTA, SMRT, Starhub and IBM in 'big data' tie-up to better manage bus and train incidents ........................................................................................................................... 5

2. AsiaOne Transport: LTA, SMRT, Starhub and IBM in 'big data' tie-up to better manage bus and train incidents .................................................................................................................................. 6

3. Channel NewsAsia Online: LTA, SMRT tie up with IBM and StarHub to improve public transport ................................................................................................................................................. 8

4. Channel NewsAsia Singapore Facebook: ‘FASTER’ Public Transport On The Way’ ......................... 10

5. Xinmsn Video: LTA, SMRT tie up with IBM and StarHub to improve public transport......................... 12

6. The Edge Singapore Online: LTA, SMRT, StarHub and IBM collaborate to improve public transport system ................................................................................................................................... 13

7. Tech In Asia: Can big data fix Singapore’s public transportation woes? IBM and LTA say yes .......... 14

8. MIS Asia Online: Using data analytics to improve Singapore’s transport system ............................... 16

9. CIO Asia Online: Using data analytics to improve Singapore’s transport system ............................... 18

10. Computerworld Singapore: Using data analytics to improve Singapore’s transport system ............... 19

11. Capital 95.6 (Radio Broadcast) – 5.00pm News: ................................................................................. 20

12. 938Live (Broadcast): 6.00pm News – LTA, SMRT tie up with IBM and StarHub to improve public transport ..................................................................................................................................... 21

13. Channel 8 – Singapore Today, 6.30pm: 陸交局與 IBM 等將分析資料 制定公共交通應急措施 ............ 22

14. Channel 5 – News 5 Tonight, 9.30 pm: LTA, SMRT tie up with IBM and StarHub to improve public transport ..................................................................................................................................... 23

15. ChannelNews Asia: Singapore Tonight, 10.00pm – LTA, SMRT tie up with IBM and StarHub to improve public transport ................................................................................................................... 24

16. Channel U – News Tonight, 11.00pm: 陸交局與 IBM 等將分析資料 制定公共交通應急措施 ............... 25

17. Convergence Asia: Applying "fusion analytics" to public transport challenges .................................... 26

18. TODAY Online: Big data to help ease transport woes ......................................................................... 28

19. TODAY: Big data to help ease transport woes .................................................................................... 30

20. The Business Times Online: Using data analytics to manage train disruptions - LTA, SMRT, StarHub, IBM to study this in a 2-year project...................................................................................... 32

21. The Business Times: Using data analytics to manage train disruptions - LTA, SMRT, StarHub, IBM to study this in a 2-year project...................................................................................... 33

22. Lianhe Zaobao Online: 陸交局與 IBM 等將分析資料 制定公共交通應急措施 ...................................... 34

23. Lianhe Zaobao: 陸交局與 IBM 等將分析資料 制定公共交通應急措施 .................................................. 35

24. The Straits Times: Tracking commuter movement for faster emergency response ............................ 36

25. The New Paper: LTA, SMRT, StarHub and IBM launch joing study .................................................... 37

26. Nikkei Report: IBM, others to study ways to improve transport in Singapore ...................................... 38

27. NNA Japan: IBM、公共交通のビッグデータ活用で提携 ..................................................................... 39

28. Hardware Zone Online: LTA, SMRT, StarHub & IBM Collaborate to Improve Transport with Data for Singapore Commuters............................................................................................................ 40

29. Omy: 陆交局将研发智慧管理系统应付地铁故障 ................................................................................... 41

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30. Shin Min Daily: 陆交局将研发 智慧管理系统应付地铁故障 .................................................................. 42

31. The Tech Revolutionist: LTA, SMRT, StarHub and IBM Collaborate to Improve Transport with Data for Singapore Commuters .................................................................................................... 43

32. The Show Daily: LTA, SMRT, StarHub and IBM Collaborate to Improve Transport with Data for Singapore Commuters .................................................................................................................... 45

33. Futuregov: SINGAPORE GOVERNMENT AND IBM TO IMPROVE PUBLIC TRANSPORT WITH BIG DATA ANALYTICS ............................................................................................................. 46

34. eGov innovation: Advance analytics to power Singapore's public transport system ........................... 47

35. Nikkei Report: シンガポール政府、乗客対応で共同研究 ..................................................................... 48

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Media Coverage

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The Straits Times Online: LTA, SMRT, Starhub and IBM in 'big data' tie-up to better manage bus and train incidents 06/02/14 http://www.straitstimes.com/news/singapore/transport/story/lta-smrt-starhub-and-ibm-big-data-tie-better-manage-bus-and-train-inc

SMRT would provide video feeds from certain MRT stations, while Starhub would share anonymised telecommunications data. -- ST PHOTO: LIM SIN THAI BY DAVID EE SINGAPORE - The Land Transport Authority (LTA), SMRT and Starhub announced on Monday a research collaboration with IBM aimed at helping the authorities better respond to and manage public transport incidents. Called Fusion AnalyticS for public Transport Emergency Response, or Faster, the two-year tie-up will see data from SMRT and Starhub combined and studied using IBM data analytics. SMRT would provide video feeds from certain MRT stations, while Starhub would share anonymised telecommunications data. By making commuters' travel patterns more visible to agencies, the idea is to improve their decision-making in responding to incidents such as train breakdowns, overcrowding, or other emergencies and unplanned events. President and chief executive officer of SMRT Desmond Kuek called the collaboration "a potential game-changer" in helping the company be ready for any eventuality on its train and bus networks. Starhub chief executive officer Tan Tong Hai called the move "very timely" in the country's transformation into an "intelligent" nation.

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AsiaOne Transport: LTA, SMRT, Starhub and IBM in 'big data' tie-up to better manage bus and train incidents 06/02/14 Singapore http://transport.asiaone.com/news/general/story/lta-smrt-starhub-and-ibm-big-data-tie-better-manage-bus-and-train-incidents

David Ee | The Straits Times | Monday, Jun 2, 2014 SINGAPORE - Called Fusion AnalyticS for public Transport Emergency Response, or Faster, the two-year tie-up will see data from SMRT and Starhub combined and studied using IBM data analytics. Get the full story from The Straits Times. Here is the joint statement from the Land Transport Authority of Singapore, SMRT, StarHub and IBM: The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM today announced a collaboration to apply fusion analytics to create a state-of-the-art public transport system that will significantly improve the commuter experience across Singapore. With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the travelling experience of hundreds of thousands of commuters. This research collaboration brings Singapore another step closer to a people-centred, intelligent and integrated public transport system designed to improve mobility and the liveability of Singapore. The LTA and IBM will create a Fusion AnalyticS for public Transport Emergency Response (FASTER) blueprint for better crowd management and proactive information services by using data-driven analytic models that provide situational awareness, impact prediction and actionable insights for mitigating the anticipated impact. As part of the FASTER agreement, the LTA and IBM will work together to combine farecard data and information from industry partners: SMRT Corporation Ltd (SMRT) who will provide the video data

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from select MRT stations; and StarHub will provide anonymized telecommunications data for aggregate-level mobility analysis. By using data to extract actionable insights, transport operators and authorities will be able to provide better information services to their employees and passengers. LTA's Chief Executive, Mr Chew Hock Yong said: "Through this research collaboration with IBM, SMRT and StarHub, we endeavour to harness intelligence from the myriad of data collected and in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management." "SMRT has strengthened its ability to be alert and ready for any eventuality on our train and bus networks. We now have faster responses by our train station staff during disruptions, near real-time updates on social media, increased urgency in the effort to upgrade our train network. FASTER is a potential game changer to help in all of these efforts. We expect to enhance our ability to sense-make and act in the dynamic environment that typifies emergency situations." - Desmond Kuek, President and Chief Executive Officer, SMRT Corporation Said Mr Tan Tong Hai, Chief Executive Officer, StarHub: "StarHub is pleased to be part of this collaboration, which is very timely in Singapore's transformation into an intelligent nation and global city by leveraging on Big Data across different platforms. The amalgamation of telco, video and smartcard analytics will give transport operators the visibility of commuters' travel patterns as well as a basis for recommendations to improve resiliency of bus routes/schedules and to enhance response to unplanned incidents so as to better cater to the needs of commuters. These insights will also allow transport authorities a 360 view of the commuter situation." "IBM is working with governments around the world to make cities' systems smarter through data driven solutions to attain new levels of insight and efficiency. City leaders can now monitor, measure and manage a wide range of city services to predict future effects and perform "what-if" scenario analysis to proactively manage the negative impacts of an unplanned incident or special event," said Ms Janet Ang, Managing Director, IBM Singapore.

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Channel NewsAsia Online: LTA, SMRT tie up with IBM and StarHub to improve public transport 06/02/14 http://www.channelnewsasia.com/news/singapore/lta-smrt-tie-up-with-ibm/1132372.html LTA and SMRT will collaborate with IBM and StarHub to improve Singapore's public transportation network through the use of data.

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SINGAPORE: The Land Transport Authority (LTA) and SMRT will collaborate with StarHub and IBM in a bid to improve the public transportation network through the use of data. The collaboration, announced on Monday (June 2), has been named Fusion AnalyticS for public Transport Emergency Response, or FASTER. It will use data-driven analytical models for better crowd management and public transport incident management. As part of the FASTER agreement, LTA and IBM will work together to combine farecard information from industry partners. SMRT will provide video data from selected MRT stations, and StarHub will provide anonymised telecommunications data for aggregate-level mobility analysis. A joint statement from all four parties said that with the use of data to extract insights into crowd movements, "transport operators and authorities will be able to provide better information services to their employees and passengers". - CNA/cy

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Channel NewsAsia Singapore Facebook: ‘FASTER’ Public Transport On The Way’ 06/02/14 https://www.facebook.com/photo.php?v=10152147726732934

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Xinmsn Video: LTA, SMRT tie up with IBM and StarHub to improve public transport 06/02/14 http://video.xin.msn.com/watch/video/lta-smrt-tie-up-with-ibm-and-starhub-to-improve-public-transport/1bajvmivo?from=gallery_en-sg&cpkey=a9e1e61f-e9bd-4a1e-9184-5322d59a82c2%257c%257c%257c%257c

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The Edge Singapore Online: LTA, SMRT, StarHub and IBM collaborate to improve public transport system 06/02/14 http://www.theedgesingapore.com/the-daily-edge/business/48570-lta-smrt-starhub-and-ibm-collaborate-to-improve-public-transport-system.html The Land Transport Authority of Singapore (LTA), SMRT Corporation (SMRT), StarHub and IBM today announced a collaboration to apply fusion analytics to create a public transport system that will help improve the commuter experience across Singapore. With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the travelling experience of hundreds of thousands of commuters. This research collaboration will help Singapore develop a people-centered, intelligent and integrated public transport system designed to improve mobility and the liveability of Singapore. The LTA and IBM will create a Fusion AnalyticS for public Transport Emergency Response (FASTER) blueprint for better crowd management and proactive information services by using data-driven analytic models that provide situational awareness, impact prediction and actionable insights for mitigating the anticipated impact. As part of the FASTER agreement, the LTA and IBM will work together to combine farecard data and information from industry partners: SMRT who will provide the video data from select MRT stations; and StarHub will provide anonymised telecommunications data for aggregate-level mobility analysis. By using data to extract actionable insights, transport operators and authorities will be able to provide better information services to their employees and passengers. LTA's Chief Executive, Chew Hock Yong, said: “Through this research collaboration with IBM, SMRT and StarHub, we endeavour to harness intelligence from the myriad of data collected and in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management.”

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Tech In Asia: Can big data fix Singapore’s public transportation woes? IBM and LTA say yes 06/02/14 http://www.techinasia.com/ibm-create-smarter-singapore-starting-transport-system/

Public transportation has been a subject of great discontent over the past few years. With sky-high car ownership costs in the island-state, it comes as no surprise that citizens turn to trains and buses as their main mode of transportation. In fact, according to Desmond Kuek, CEO of SMRT Corporation Ltd (SMRT), over 6.3 million passenger trips are made daily across the Singapore transport system, and each day trains cumulatively run one-and-a-half times the circumference around the Earth’s equator – that’s about 40,000km. In recent years, however, disruptions have become frequent occurrences in Singaporeans’ daily commute, justifiably causing much unhappiness. For example, in 2012, multiple train breakdowns caused SMRT to be fined a sum of S$2 million back in 2012. As a result of these inefficiencies, heads have rolled, complaints have been issued; and while Transport Minister Lui Tuck Yew promised that he would improve the Mass Rapid Transit (MRT) system, these incidents continue to happen on a too-often basis. In a bid to address these problems, the Land Transport Authority of Singapore (LTA), SMRT, StarHub and IBM (NYSE: IBM) have put their heads together and come up with a solution, aptly titled Fusion AnalyticS for public Transport Emergency Response, or FASTER. Specifically, the LTA and IBM will combine farecard data and information provided by industry partners SMRT and StarHub, and use data-driven analytic models to provide situational awareness, impact prediction, and actionable insights for mitigating any anticipated impacts at hand. In doing so, they hope to improve the public transport system, and by extension, the commuter experience. As part of the agreement, SMRT will provide video data from selected MRT stations, while StarHub will provide anonymized telecommunications data to track commuters’ movements on an aggregate-level from point to point. “Through this research collaboration with IBM, SMRT, and StarHub, we endeavor to harness intelligence from the myriad of data collected, and in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management,” said LTA’s Chief Executive, Chew Hock Yong.

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A Smarter Singapore? This collaboration is part of IBM’s mission to help cities leverage the information that is already available to deliver better citizen services. To borrow their phrase, IBM wants to create a “Smarter City,” which they define as any urban area that exploits information to optimize the delivery of city services. The American multinational corporation has embarked on multiple projects under this initiative, such as traffic management, smart grids, water systems, healthcare, emergency management, and city operations. In the case of Singapore, they have chosen to focus on the transport system. Having caught a glimpse of IBM’s soon-to-be-implemented analytics solution, I was impressed by the amount of actionable data that could be provided through this collaboration. The scenario painted during the demonstration was that of a typical train breakdown in Singapore. Using data drawn from the current road traffic situation, as well as traffic police and bus locations, a hypothetical operator was able to quickly create a bus bridge plan to ferry commuters over to the most convenient location possible. With all this information at hand, there will certainly be greater situational awareness at train stations and bus interchanges, transport operators can better identify patterns, develop contingency plans, and predict when, how, and which commuters will be be affected upstream and downstream. In addition, the system will also give transport operators insight into Singapore’s mobility patterns, and provide a basis for recommendations with regard to improvements in bus routes or schedules. Put together, transport authorities have an all-encompassing view of the entire commuter environment in Singapore.

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MIS Asia Online: Using data analytics to improve Singapore’s transport system 06/02/14 Singapore http://mis-asia.com/resource/applications/using-data-analytics-to-improve-singapores-transport-system/

LTA-IBM FASTER collaboration with industry partners at the World Summit Cities 2014 in Singapore. (From left to right) Dr Lim Woo Lip, Vice President & Centre Director, SmartHub StarHub; Dr Laura, Wynter - Research Director, Research Collaboratory, IBM Singapore; Tan Tong Hai, Chief Executive Officer and Executive Director, StarHub Ltd; Janet Ang, Managing Director, IBM Singapore; Mr Chew Hock Yong, Chief Executive, LTA; Desmond Kuek, President and Chief Executive Officer, SMRT Corporation Ltd; Roswina Howe-Teo Group Director, Innovation and InfoComm Technology Group, LTA; Oon Jin Gee - Head, Infocomm & Organisation Excellence, SMRT Corporation The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM today (2 June 2014) announced a research collaboration to improve the commuter experience in Singapore. The announcement was made at this year's World Cities Summit at the Marina Bay Sands Expo and Convention Centre. Named Fusion AnalyticS for public Transport Emergency Response (FASTER), the collaboration will enable the authorities to better respond and manage public transport incidents. As part of the agreement, LTA and IBM will combine farecard information and video data from selected MRT stations from SMRT with anonymised telecommunications data from StarHub. Data-driven analytic models will then be used to provide situational awareness, as well as impact predictions and actionable insights for mitigating any anticipated impacts. "These analytics will enable us and transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management," said Chew Hock Yong, LTA's chief executive. For instance, in the event of a train breakdown, IBM's analytics solution will use various available data, such as road traffic conditions and bus locations, to enable an operator to quickly create a bus bridge plan to shuttle passengers to the next station. Besides using FASTER for incident response and management, it can also be used to offer transport operators a visualisation of Singapore's mobility patterns and provide a basis for recommendations for

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improving resiliency of bus schedules or route. Transport authorities also stand to gain by obtaining a full view of the commuter situation.

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CIO Asia Online: Using data analytics to improve Singapore’s transport system 06/02/14 http://www.cio-asia.com/resource/applications/using-data-analytics-to-improve-singapores-transport-system/

LTA-IBM FASTER collaboration with industry partners at the World Summit Cities 2014 in Singapore. (From left to right) Dr Lim Woo Lip, Vice President & Centre Director, SmartHub StarHub; Dr Laura, Wynter - Research Director, Research Collaboratory, IBM Singapore; Tan Tong Hai, Chief Executive Officer and Executive Director, StarHub Ltd; Janet Ang, Managing Director, IBM Singapore; Mr Chew Hock Yong, Chief Executive, LTA; Desmond Kuek, President and Chief Executive Officer, SMRT Corporation Ltd; Roswina Howe-Teo Group Director, Innovation and InfoComm Technology Group, LTA; Oon Jin Gee - Head, Infocomm & Organisation Excellence, SMRT Corporation The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM today (2 June 2014) announced a research collaboration to improve the commuter experience in Singapore. The announcement was made at this year's World Cities Summit at the Marina Bay Sands Expo and Convention Centre. Named Fusion AnalyticS for public Transport Emergency Response (FASTER), the collaboration will enable the authorities to better respond and manage public transport incidents. As part of the agreement, LTA and IBM will combine farecard information and video data from selected MRT stations from SMRT with anonymised telecommunications data from StarHub. Data-driven analytic models will then be used to provide situational awareness, as well as impact predictions and actionable insights for mitigating any anticipated impacts. "These analytics will enable us and transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management," said Chew Hock Yong, LTA's chief executive. For instance, in the event of a train breakdown, IBM's analytics solution will use various available data, such as road traffic conditions and bus locations, to enable an operator to quickly create a bus bridge plan to shuttle passengers to the next station. Besides using FASTER for incident response and management, it can also be used to offer transport operators a visualisation of Singapore's mobility patterns and provide a basis for recommendations for improving resiliency of bus schedules or route. Transport authorities also stand to gain by obtaining a full view of the commuter situation.

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Computerworld Singapore: Using data analytics to improve Singapore’s transport system 06/02/14 http://computerworld.com.sg/resource/applications/using-data-analytics-to-improve-singapores-transport-system/

LTA-IBM FASTER collaboration with industry partners at the World Summit Cities 2014 in Singapore. (From left to right) Dr Lim Woo Lip, Vice President & Centre Director, SmartHub StarHub; Dr Laura, Wynter - Research Director, Research Collaboratory, IBM Singapore; Tan Tong Hai, Chief Executive Officer and Executive Director, StarHub Ltd; Janet Ang, Managing Director, IBM Singapore; Mr Chew Hock Yong, Chief Executive, LTA; Desmond Kuek, President and Chief Executive Officer, SMRT Corporation Ltd; Roswina Howe-Teo Group Director, Innovation and InfoComm Technology Group, LTA; Oon Jin Gee - Head, Infocomm & Organisation Excellence, SMRT Corporation The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM today (2 June 2014) announced a research collaboration to improve the commuter experience in Singapore. The announcement was made at this year's World Cities Summit at the Marina Bay Sands Expo and Convention Centre. Named Fusion AnalyticS for public Transport Emergency Response (FASTER), the collaboration will enable the authorities to better respond and manage public transport incidents. As part of the agreement, LTA and IBM will combine farecard information and video data from selected MRT stations from SMRT with anonymised telecommunications data from StarHub. Data-driven analytic models will then be used to provide situational awareness, as well as impact predictions and actionable insights for mitigating any anticipated impacts. "These analytics will enable us and transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management," said Chew Hock Yong, LTA's chief executive. For instance, in the event of a train breakdown, IBM's analytics solution will use various available data, such as road traffic conditions and bus locations, to enable an operator to quickly create a bus bridge plan to shuttle passengers to the next station. Besides using FASTER for incident response and management, it can also be used to offer transport operators a visualisation of Singapore's mobility patterns and provide a basis for recommendations for improving resiliency of bus schedules or route. Transport authorities also stand to gain by obtaining a full view of the commuter situation.

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Capital 95.6 (Radio Broadcast) – 5.00pm News: 06/02/14 http://ge.tt/10G5Vpi1?c

A radio report on a new project collaboration with LTA, SMRT, StarHub and IBM to “improve the user experience of Singapore’s public transport system”. It mentioned that the project was announced in conjunction with the World Cities Summit 2014 and highlights its apt name, FASTER (Fusion AnalyticS for public Transport Emergency Response). The reporter stated that the “data gathered from analytic models will provide for better crowd management and proactive information services”. She also states that “IBM and LTA will work together to combine fare card data from industry partners, SMRT will provide video data from selected MRT stations, while StarHub will provide anonymised telecommunications data of commuters mobility patterns”.

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938Live (Broadcast): 6.00pm News – LTA, SMRT tie up with IBM and StarHub to improve public transport 06/02/14 http://ge.tt/10G5Vpi1?c

A radio report on a new project collaboration with LTA, SMRT, StarHub and IBM to “improve the user experience of Singapore’s public transport system”. It mentioned that the project was announced in conjunction with the World Cities Summit 2014 and highlights its apt name, FASTER (Fusion AnalyticS for public Transport Emergency Response). The reporter stated that the “data gathered from analytic models will provide for better crowd management and proactive information services”. She also states that “IBM and LTA will work together to combine fare card data from industry partners, SMRT will provide video data from selected MRT stations, while StarHub will provide anonymised telecommunications data of commuters mobility patterns”.

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Channel 8 – Singapore Today, 6.30pm: 陸交局與 IBM 等將分析資料 制定公共交通應急措施

06/02/14 http://ge.tt/10G5Vpi1?c

A report on a new project collaboration with LTA, SMRT, StarHub and IBM to improve public transport in Singapore which aims use “real time data to enable authorities and operators better respond to emergencies”. The reporter states that “LTA and IBM will work together to combine fare card information from industry partners and StarHub will provide anonymised telecommunications data that can help in tracking crowd flows”. Zhang Jun, Head of Engineering and Operations, IBM Research Singapore Collaboratory was also featured in an interview stating that “this project is about gathering large amounts of disparate data, and then using that to provide models and predictive modelling so that better decisions can be made about optimising resources”. The clip also features Sebastian Blandin, Chief Scientist, IBM Research, Singapore, providing a brief demonstration on the technology used for the project.

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Channel 5 – News 5 Tonight, 9.30 pm: LTA, SMRT tie up with IBM and StarHub to improve public transport 06/02/14 http://ge.tt/10G5Vpi1?c

A report on the new project collaboration with LTA, SMRT, StarHub and IBM, which aims use “real time data to enable authorities and operators better respond to emergencies”. The reporter states that “LTA and IBM will work together to combine fare card information from industry partners and StarHub will provide anonymised telecommunications data that can help in tracking crowd flows”. It also mentioned IBM stating that “such a collaboration is a world first”, but also adds that “it will take time for the analytics technology to be applied and tested in order to get a better idea of how much cost and time savings it can bring”. The clip also features Sebastian Blandin, Chief Scientist, IBM Research, Singapore, providing a brief demonstration on the technology used for the project.

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ChannelNews Asia: Singapore Tonight, 10.00pm – LTA, SMRT tie up with IBM and StarHub to improve public transport 06/02/14 http://ge.tt/10G5Vpi1?c

A report on a new project collaboration with LTA, SMRT, StarHub and IBM to improve public transport in Singapore which aims use “real time data to enable authorities and operators better respond to emergencies”. The reporter states that “LTA and IBM will work together to combine fare card information from industry partners and StarHub will provide anonymised telecommunications data that can help in tracking crowd flows”. Michael Nixon, General Manager , Smarter Cities, IBM was also featured in an interview stating that “this project is about gathering large amounts of disparate data, and then using that to provide models and predictive modelling so that better decisions can be made about optimising resources, while delivering customer service benefits”. The clip also features Sebastian Blandin, Chief Scientist, IBM Research, Singapore, providing a brief demonstration on the technology used for the project.

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Channel U – News Tonight, 11.00pm: 陸交局與 IBM 等將分析資料 制定公共交通應急措施

06/02/14 http://ge.tt/10G5Vpi1?c

A report on a new project collaboration with LTA, SMRT, StarHub and IBM to improve public transport in Singapore which aims use “real time data to enable authorities and operators better respond to emergencies”. The reporter states that “LTA and IBM will work together to combine fare card information from industry partners and StarHub will provide anonymised telecommunications data that can help in tracking crowd flows”. Zhang Jun, Head of Engineering and Operations, IBM Research Singapore Collaboratory was also featured in an interview stating that “this project is about gathering large amounts of disparate data, and then using that to provide models and predictive modelling so that better decisions can be made about optimising resources”. The clip also features Sebastian Blandin, Chief Scientist, IBM Research, Singapore, providing a brief demonstration on the technology used for the project.

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Convergence Asia: Applying "fusion analytics" to public transport challenges 06/02/14 http://www.convergenceasia.com/story/applying-fusion-analytics-public-transport-challenges

Data sets from transport fare cards, mobile phones and video cameras are being combined to produce real-time and predictive analytics in a new research effort to help manage service disruption and improve public transportation in Singapore. At the sidelines of the World Cities Summit on 2 June 2014, the Land Transport Authority of Singapore (LTA), SMRT Corporation (SMRT) , StarHub and IBM announced a research collaboration to develop a “fusion analytics” blueprint for better crowd management and proactive information services using data-driven analytics models. With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the travelling of hundreds of thousands of commuters, noted IBM. The blueprint, dubbed FASTER (Fusion AnalyticS for public Transport Emergency Response), aims is to improve situational awareness, predict the impact of incidents affecting public transport, and come up with actionable insights and recommendations for mitigating the anticipated impact. As part of the agreement, LTA and IBM will work together to combine fare card data and information from partners SMRT who will provide video data from selected MRT stations, and StarHub who will provide anonymised telecommunications data for aggregate-level mobility analysis. The aim, said Janet Ang, Managing Director of IBM Singapore, is to create “insights in motion” for “people-centred real-time and dynamic public transport incident management”. “Transport lends itself very well to big data analytics,” said LTA’s Chief Executive Chew Hock Yong. “It involves a lot of moving parts every single day, whether we’re talking about the bus, the train, commuter fare cards, taxis etc.” While LTA trying to make headway in the area of data analytics to serve commuters better, it also recognises that there are two things it does not have, said Mr Chew. “One is we don’t have all the data that will help us do our job better. We have data points relating to buses and trains but we don’t have useful data points like where mobile phone customers (commuters) are in different parts of Singapore.” “The second thing we do not have is that we don’t have all the wisdom to serve the commuter better. We have ideas, creative ideas, but we are always surprised by how people in private sectors , schools and tertiary institutions are able to make use of data to come up with good ideas and applications that help commuters and customers. That is why embark on various pilots and collaborations,” said Chew.

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Dr Michael Dixon, General Manager, Smart Cities IBM, noted that as cities get denser, it is critically important to understand the underlying facts that determine people’s mobility through information on cars, taxis, public transport, and even data related to walking and using bicycles. Analytics is “the focus and the fulcrum” on which management decisions can be made to provide better levels of service at lower cost, he said.

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TODAY Online: Big data to help ease transport woes 06/03/14 http://www.todayonline.com/singapore/big-data-help-ease-transport-woes

TODAY file photo Two-year pilot will gather passenger data to help improve commuter experience SINGAPORE — In an effort to help ease the woes of commuters plagued by train breakdowns, delays or other unexpected incidents, transport authorities and operators will turn to big data in a two-year pilot project to improve their response to such incidents. The Land Transport Authority (LTA), transport operator SMRT, telco StarHub and IT giant IBM yesterday unveiled the pilot, in which passenger data will be gathered for analysis to improve the commuter experience. Under the programme, the LTA and IBM will obtain depersonalised, location-based commuter data from StarHub, video feeds from key MRT stations and fare card transactions to see which stations are getting too crowded, where bottlenecks are occurring and how many bus-bridging services should be deployed if necessary and how frequently, for instance. Dubbed Fusion AnalyticS for public Transport Emergency Response (FASTER), the programme can also help authorities and operators manage crowds and send alerts to inform commuters of expected delays so they can plan alternative routes. SMRT chief executive Desmond Kuek called the programme a potential game-changer. “We now have faster responses by our train station staff during disruptions, near real-time updates on social media and increased urgency in the effort to upgrade our train network. FASTER is a potential game-changer to help in all of these efforts,” he said.

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An SMRT spokesperson told TODAY that “as the project is in its early stage, we are unable to specify the MRT stations which will be involved at this preliminary stage”. More details of the programme will be announced as the trial gains traction, he said. LTA chief executive Chew Hock Yong said: “Through this research collaboration, we endeavour to harness intelligence from the myriad of data collected and, in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management.” This is the first time IBM is deploying such an extensive combination of data in their collaborations with cities, though mobile data from telcos have been used elsewhere. For example, in Istanbul, the company collects billions of pieces of data each week from mobile phone users that reveal how people move through the bustling metropolis. The data provides insights into the daily transport habits of commuters and allows bus operators to adjust service frequencies and coordinate transfers between different buses. Dr Laura Wynter, director of IBM Research Collaboratory in Singapore, told TODAY the programme here would not go live during the two-year pilot, but would harness a few months’ worth of mobile, video and fare-card data to present a snapshot of the system at any given point in time. “The fare-card data (tells us) how many people are tapping in and out and the telco data gives us an idea of where people come from before they get to the station and where they go after they leave the station. Together, it gives us a mobility pattern for the population,” she said. “It allows us to better manage the transport network, for instance, knowing what the crowd levels are on the platforms and in the trains, as well as how long is it taking people to get into the trains. It’s giving LTA and the train operator a quantitative understanding of the passenger experience, and that allows them to take different actions,” she added. On how the success of the programme will be judged, she said the performance indicators will be worked out during the pilot. The pilot programme ties in with the Government’s goal of making Singapore a “smarter nation” through the use of technology. Senior Minister of State (National Development) Lee Yi Shyan said last week that big data could help citizens enjoy a better quality of life as Singapore faces increasingly complex urban development challenges. Prime Minister Lee Hsien Loong said on Sunday that Singapore was making better use of technology to strengthen citizens’ and residents’ ownership of their shared future. National University of Singapore’s Professor Lee Der Horng, a transport expert, said the level of data used in the pilot programme was unprecedented in Singapore. “Traditionally, operators or the Government have been very strict in data sharing, and it is not easy for research institutions to obtain such data as well. So, it is a good move,” he said. However, he cautioned: “Big data can be very useful, but its application or value can be very broad, so authorities have to ask themselves how it can actually help commuters in their daily journeys, looking at factors such as the degree of congestion as well as the arrivals and departures of trains.” Prof Lee also suggested that the use of big data go hand-in-hand with station designs and operations, such as adjusting the speeds of escalators leading to and from train platforms, and developing systems to give commuters an idea of the level of congestion on platforms.

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TODAY: Big data to help ease transport woes 06/03/14

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The Business Times Online: Using data analytics to manage train disruptions - LTA, SMRT, StarHub, IBM to study this in a 2-year project 06/03/14 http://www.businesstimes.com.sg/premium/singapore/using-data-analytics-manage-train-disruptions-20140603 DATA from video footage in train stations, telecommunications and fare cards will be used in combination to help the authorities manage train breakdowns more effectively down the road. The Land Transport Authority of Singapore (LTA), SMRT Corporation (SMRT), StarHub and IBM have banded together for a two-year research project aimed at developing more rapid response times and better crowd management during train breakdowns. The study, announced yesterday at the World Cities Summit, has been named Faster, which stands for Fusion AnalyticS for public Transport Emergency Response. Under this, SMRT will provide video data from selected MRT stations to help with crowd counting on trains and in areas within and without the stations. SMRT will also provide fare card data, which gives mobility insights - such as the start and end points of the journey and the mode of public transport - to derive patterns in travel movements. StarHub will pitch in with anonymised telecommunications data to refine journey patterns by pinpointing true origins and destinations of commuters before reaching or after leaving the train stations and bus stops. The three data sets will be integrated and analysed using IBM's Intelligent Operations Centre software, which was created for cities to deliver better citizen services by tapping into available information. Merging these data sets will give transport operators real-time situational awareness of the transport network. LTA chief executive Chew Hock Yong said that the agency uses data analytics, but lacks exhaustive data and knowledge, so it is getting on board this research collaboration, which may take on new partners. Laura Wynter, the director of IBM Research Collaboratory in Singapore, said: "It means knowing at any point in time what the crowd levels are in stations and on trains, and what the delays to the trains are if there's an incident." Predictive models can be applied to fare card data to see how people will move in the future; with telecommunications data to complete the mobility pattern, combining these with video analytics allow predictions to be made about crowd levels as a function of time, day and special events. The system can also predict the impact of an incident in terms of expected delays and passengers affected, and recommend actions the operator can take to respond to the incident. SMRT president and chief executive officer Desmond Kuek said of Faster: "We expect to enhance our ability to sense-make and act in the dynamic environment that typifies emergency situations."

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The Business Times: Using data analytics to manage train disruptions - LTA, SMRT, StarHub, IBM to study this in a 2-year project 06/03/14

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Lianhe Zaobao Online: 陸交局與 IBM 等將分析資料 制定公共交通應急措施

06/03/14 http://origin-realtime.zaobao.com.sg/news/singapore/story20140603-350190

李蕙心 报道

hueyshin@sph.com.sg

陆路交通管理局、SMRT、IBM 与星和将联合展开一项数据研究，分析地铁乘客的乘车资料，以便在紧

急情况下迅速采取应对措施。

这个名为“融合分析学”（Fusion AnalyticS）的项目为期两年，陆交局和 IBM 将利用研究结果来制定公

共交通应急（Fusion AnalyticS for public Transport Emergency Response，简称 FASTER）蓝图。

这四家机构和企业昨天发表联合文告说，进行这项分析的目的是利用分析结果模拟可能发生的情况、预

测影响程度和可采取的应急措施，以便更好地疏导人群，并提早向地铁职员和乘客提供相关信息。

美国科技公司 IBM 将使用陆交局提供的车资卡数据，找出乘客人数最多和地铁站最繁忙的时段，从中

了解人潮动向，这有助于制定疏导人群程序。

电信公司星和将提供匿名电信数据，如星和手机用户在列车上位置。

地铁服务业者 SMRT 则会提供某些地铁站的录像画面。

有了这些资料，当地铁过于拥挤、发生故障或其他紧急事故时，地铁业者能更快更好地做出决定。

陆路交通管理局局长周福荣指出，通过这项合作，陆交局希望能从庞大的数据中取得重要信息，帮助陆

交局和交通业者改善资源分配和进行预防性的疏导人群工作，以便更好地处理交通突发事件。

过去数年，SMRT 地铁服务因为技术故障，多次暂停而为人诟病。SMRT 总裁兼首席执行长郭木财说，

SMRT 已提高警觉能力，准备应对地铁或巴士服务发生的突发事件。服务中断时，地铁站职员的应变能

力已加快，他们也迅速在社交网站上更新信息，提升地铁系统的工作也更为迫切。

他认为：“交通应急方案将可大力提升以上应变措施。我们希望通过紧急情况模式，进一步了解这个不

断改变的环境，并采取适合的应急行动。”

对于这次的合作，星和总裁陈东海表示支持。他说，结合电信、影像和智能车资卡数据的分析将能把乘

客的乘车习惯呈现出来，交通业者也能以此改善巴士服务和提升应变能力。

负责分析工作的 IBM 新加坡董事经理洪月霞说，公司与世界各地政府合作，采用以数据为基础的科技

方案提高工作效率。现在，各地政府能监测和管理许多市政服务，以预测和模拟未来可能发生的情况

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Lianhe Zaobao: 陸交局與 IBM 等將分析資料 制定公共交通應急措施

06/03/14

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The Straits Times: Tracking commuter movement for faster emergency response 06/03/14

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The New Paper: LTA, SMRT, StarHub and IBM launch joing study 06/03/14

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Nikkei Report: IBM, others to study ways to improve transport in Singapore 06/03/14 http://asia.nikkei.com/Business/Business-Briefs/IBM-others-to-study-ways-to-improve-transport-in-Singapore SINGAPORE -- Singapore's Land Transport Authority said Monday it will collaborate with IBM, railway operator SMRT and telecom company Starhub on a research project aimed at quickly informing people of alternative means of transport when train service is disrupted. The research will help the railway better understand travel patterns and plan for problems with train service. Singapore's railway network is under strain from the swelling number of commuters, resulting in more frequent breakdowns and grumbles among the public. The study will use data from the city-state's fare card system, video data at train stations, and mobile phone usage data provided by LTA, SMRT and Starhub. IBM will apply so-called fusion analytics, which combine different types of data, to help transport operators get a better idea of where crowds tend to grow. The participants hope to find efficient ways to provide alternative bus service in the event trains become snarled, and to guide passengers in the right direction when disruptions occur. "The amalgamation of telco, video and smartcard analytics will give transport operators the visibility of commuters' travel patterns, as well as a basis for recommendations to improve resiliency of bus routes and schedules," said Starhub CEO Tan Tong Hai. The study is expected to take two years to complete.

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NNA Japan: IBM、公共交通のビッグデータ活用で提携

06/03/14 https://news.nna.jp/free/news/20140603spd006A_lead.html

陸上交通庁（LTA）は 2 日、米 IBM など 3 社と公共交通機関の混雑に対応するためのビッグデータ

活用で提携すると発表した。IBM 以外の 2 社は、公共交通運営大手 SMRT と通信スターハブで、デ

ータの提供も行う。

SMRT が駅の監視カメラの映像、スターハブが通信のデータを提供し、LTA と IBM が混雑緩和のた

めの対策を策定する。その上で、SMRT など公共交通機関の運営会社を通じて、顧客に交通情報を提

供するという。

LTA のチュー・ホックヨン長官は、データを分析することで混雑を予測し、対策を取ることも可能に

なると述べている。

提携は、1 日に開幕した「世界都市サミット」で発表された。IBM シンガポールのジャネット・アン

社長は、都市の首長が「もしもの時」のシナリオを予想できるようになると指摘。ビッグデータを活

用することで、行政サービス向上に貢献できると強調している。

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Hardware Zone Online: LTA, SMRT, StarHub & IBM Collaborate to Improve Transport with Data for Singapore Commuters 06/03/14 http://www.hardwarezone.com.sg/tech-news-lta-smrt-starhub-ibm-collaborate-improve-transport-data-singapore-commuters LTA, SMRT, StarHub, and IBM have announced a partnership to apply fusion analytics to create a state-of-the-art public transport system that will significantly improve the commuter experience across Singapore.

LTA-IBM FASTER Collaboration with Industry Partners - MOU Signing With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the travelling experience of hundreds of thousands of commuters. This research collaboration brings Singapore another step closer to a people-centered, intelligent, and integrated public transport system designed to improve mobility and the liveability of Singapore. The LTA and IBM will create a Fusion AnalyticS for public Transport Emergency Response (FASTER) blueprint for better crowd management and proactive information services by using data-driven analytic models that provide situational awareness, impact prediction and actionable insights for mitigating the anticipated impact. As part of the FASTER agreement, the LTA and IBM will work together to combine farecard data and information from industry partners: SMRT Corporation Ltd (SMRT) who will provide the video data from select MRT stations; and StarHub will provide anonymized telecommunications data for aggregate-level mobility analysis. By using data to extract actionable insights, transport operators and authorities will be able to provide better information services to their employees and passengers.

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Omy: 陆交局将研发智慧管理系统应付地铁故障

06/03/14 http://news.omy.sg/News/Local-News/story20140603-268069

目前地铁站监控电视的画面只能看到乘客的密度和分布情况，无法在发生故障时准确估算所需的接驳巴

士数量和路线。（图／档案照）

陆路交通管理局、SMRT、IBM 与星和，将研发一套全球首创的公共交通管理系统。这套系统融合监控

电视画面，通信和易通卡数据，分析地铁乘客的乘车资料，以在紧急情况下迅速采取应对措施。

这个名为“融合分析学”（Fusion AnalyticS）的项目为期两年，陆交局和 IBM 将利用研究结果，来制

定公共交通应急（Fusion AnalyticS for public Transport Emergency Response，简称 FASTER）蓝图

。

目前，地铁站监控电视所显示的画面，只能看到乘客的密度和分布情况。一旦地铁发生故障，根本无法

准确估算所需的接驳巴士数量和路线。

SMRT 已提高警觉与应变能力。完整报道，请翻阅 03.06.2014 的《新明日报》。

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Shin Min Daily: 陆交局将研发 智慧管理系统应付地铁故障

06/03/14

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The Tech Revolutionist: LTA, SMRT, StarHub and IBM Collaborate to Improve Transport with Data for Singapore Commuters 06/03/14 Applying advanced and predictive analytics for people-centered, real-time and dynamic public transport incident management

World Cities Summit, Singapore, 2 Jun 2014 - The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM (NYSE: IBM) today announced a collaboration to apply fusion analytics to create a state-of-the-art public transport system that will significantly improve the commuter experience across Singapore. With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the travelling experience of hundreds of thousands of commuters. This research collaboration brings Singapore another step closer to a people-centered, intelligent and integrated public transport system designed to improve mobility and the liveability of Singapore. The LTA and IBM will create a Fusion AnalyticS for public Transport Emergency Response (FASTER) blueprint for better crowd management and proactive information services by using data-driven analytic models that provide situational awareness, impact prediction and actionable insights for mitigating the anticipated impact. As part of the FASTER agreement, the LTA and IBM will work together to combine farecard data and information from industry partners: SMRT Corporation Ltd (SMRT) who will provide the video data from select MRT stations; and StarHub will provide anonymized telecommunications data for aggregate-level mobility analysis. By using data to extract actionable insights, transport operators and authorities will be able to provide better information services to their employees and passengers. LTA's Chief Executive, Mr Chew Hock Yong said: “Through this research collaboration with IBM, SMRT and StarHub, we endeavour to harness intelligence from the myriad of data collected and in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management.” "SMRT has strengthened its ability to be alert and ready for any eventuality on our train and bus networks. We now have faster responses by our train station staff during disruptions, near real-time

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updates on social media, increased urgency in the effort to upgrade our train network. FASTER is a potential game changer to help in all of these efforts. We expect to enhance our ability to sense-make and act in the dynamic environment that typifies emergency situations." - Desmond Kuek, President and Chief Executive Officer, SMRT Corporation Said Mr Tan Tong Hai, Chief Executive Officer, StarHub: “StarHub is pleased to be part of this collaboration, which is very timely in Singapore’s transformation into an intelligent nation and global city by leveraging on Big Data across different platforms. The amalgamation of telco, video and smartcard analytics will give transport operators the visibility of commuters’ travel patterns as well as a basis for recommendations to improve resiliency of bus routes/schedules and to enhance response to unplanned incidents so as to better cater to the needs of commuters. These insights will also allow transport authorities a 360 view of the commuter situation.” “IBM is working with governments around the world to make cities’ systems smarter through data driven solutions to attain new levels of insight and efficiency. City leaders can now monitor, measure and manage a wide range of city services to predict future effects and perform “what-if” scenario analysis to proactively manage the negative impacts of an unplanned incident or special event,” said Ms Janet Ang, Managing Director, IBM Singapore. About LTA For more information on LTA visit http://www.lta.gov.sg About SMRT For more information on SMRT visit http://www.smrt.com.sg/ About StarHub For more information on StarHub visit www.starhub.com About IBM For more information on IBM visit http://www.ibm.com/sg For the LATEST tech updates, FOLLOW us on our Twitter LIKE us on our FaceBook SUBSCRIBE to us on our YouTube Channel!

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The Show Daily: LTA, SMRT, StarHub and IBM Collaborate to Improve Transport with Data for Singapore Commuters 06/03/14

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Futuregov: SINGAPORE GOVERNMENT AND IBM TO IMPROVE PUBLIC TRANSPORT WITH BIG DATA ANALYTICS 06/04/14 http://www.futuregov.asia/articles/2014/jun/04/singapore-government-and-ibm-improve-public-transp/#

The Land Transport Authority of Singapore and IBM have announced a collaboration to apply fusion analytics to create a public transport system that will improve the experience during the over 6.3 million passenger trips made daily on the Singapore public transport system. LTA is the government agency responsible for planning, operating and maintaining Singapore’s land transport infrastructure and systems. Along with IBM, LTA will create a Fusion Analytics for Public Transport Emergency Response (FASTER) blueprint for better crowd management and improved information services using data analytics. This will provide situational awareness, impact prediction and actionable insights for mitigating any anticipated impact. As part of this collaboration, LTA and IBM will also work to combine farecard data and information from industry partners, SMRT and StarHub. SMRT, one of Singapore’s largest public transport providers, will provide video data from selected mass rapid transit (MRT) stations in the city. StarHub, a telecommunications company in Singapore, will provide anonymised telecommunications data for aggregate-level mobility analysis. LTA’s Chief Executive, Chew Hock Yong, shared, “Through this research collaboration with IBM, SMRT and StarHub, we endeavour to harness intelligence from the myriad of data collected. In turn, these analytics will enable us and transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management.” The farecard data indicates how many commuters are entering and leaving the transit stations and telecommunications data will estimate where the travellers come from and where they are headed after leaving the station. This aggregated data gives a mobility pattern of Singapore’s commuters. This initiative will enable transport operators and authorities to provide better information services to their employees and passengers. It’s a move towards creating a more citizen-centric, intelligent and integrated public transport system to improve mobility and liveability in Singapore. “City leaders can now monitor, measure and manage a wide range of city services to predict future effects and perform ‘what-if’ scenario analysis to actively manage the negative impacts of an unplanned incident or special event,” added Janet Ang, Managing Director, IBM Singapore.

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eGov innovation: Advance analytics to power Singapore's public transport system

06/05/14

http://enterpriseinnovation.net/article/advance-analytics-power-singapores-new-state-art-public-transport-system-1598604014

The Land Transport Authority of Singapore (LTA), SMRT Corporation Ltd (SMRT), StarHub and IBM are working together to apply fusion analytics in building a state-of-the-art public transport system in Singapore. With over 6.3 million passenger trips made daily on the Singapore public transport system, any disruption can impact the traveling experience of hundreds of thousands of commuters. The LTA and IBM will create a Fusion Analytics for public Transport Emergency Response (FASTER) blueprint for better crowd management and proactive information services by using data-driven analytic models that provide situational awareness, impact prediction and actionable insights for mitigating the anticipated impact. As part of the FASTER agreement, the two organizations will combine fare card data and information from industry partners: SMRT Corporation Ltd (SMRT) will provide the video data from select MRT stations; and StarHub will provide anonymized telecommunications data for aggregate-level mobility analysis. By using data to extract actionable insights, transport operators and authorities will be able to provide better information services to their employees and passengers. “Through this research collaboration with IBM, SMRT and StarHub, we endeavor to harness intelligence from the myriad of data collected and in turn, these analytics will enable us and the transport operators to better manage public transport incidents and special events through improved resource allocation and pre-emptive crowd management," said LTA's Chief Executive Chew Hock Yong.

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Nikkei Report: シンガポール政府、乗客対応で共同研究

06/05/14

http://www.nikkei.com/article/DGXNZO72286250U4A600C1FFE000/

■シンガポール陸上交通庁 ＩＢＭ、同国の鉄道事業者ＳＭＲＴ、通信大手スターハブと共同で、列

車運行が乱れた際の乗客への対応を改善する研究プロジェクトに取り組む。ビッグデータを活用し乗

客の移動パターンを把握する。

シンガポールの鉄道システムは故障や遅延が頻発し、市民の間で不満が生じている。研究プロジェ

クトは状況改善に向けて政府が民間と協力する取り組みの一環で、故障や遅延による乗客への影響を

緩和するために、必要な代替サービスの計画などに役立てる。

研究では、陸上交通庁やＳＭＲＴ、スターハブが提供するＩＣカードシステムで集めたデータや駅

の画像データ、携帯電話の利用データを活用する。

この研究により、列車の運行が停止した場合に振り替えのバス輸送を提供する最も有効な方法や、

乗客を正しい方向に導く方法も見つけることができるという。（シンガポール＝谷繭子）