Bus Karo: Economic Opportunity through Public Transport Connectivity (Session VIII)
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Transcript of Bus Karo: Economic Opportunity through Public Transport Connectivity (Session VIII)
ASSESSING THE ECONOMIC
OPPORTUNITY OF A CITY
THROUGH PUBLIC TRANSPORT
CONNECTIVITY
V.SURYA PRAKASH; JAYA DHINDAW; RAJ BHAGAT; DIEGO CANALES
WHAT ARE THE BENEFITS OF MASS TRANSPORTATION??
Travel Time Savings
Cost Savings
WHAT IS ACCESSIBILITY?
In urban transportation, ‘accessibility’ refers to the ease
with which an individual can access opportunities (e.g.
employment, health or education services), given the
spatial distribution of the city (land use), the transportation
infrastructure and services available (transportation
supply), the temporal constraints of individuals and
activities, and the individual characteristics of people.3
ACCESSIBILITY
ACCESSIBILITY TOOL
A planning tool to quantitatively assess urban accessibility
Works on OpenTripPlanner software and its extension ‘Analyst’
This tool leverages digital, open, and standardized data
Road Network: OpenStreetMap
Transit Network: General Transit Feed Specification (GTFS)
Population
Opportunities: Jobs, schools, health centers, parks
The tool then combines the estimated travel times for each of the chosen travel
modes and location data for employment opportunities (or parameters) to calculate
the accessibility value for every point in the city for a given time threshold. 5
WHY USE THIS TOOL?
1. Global and Local Tracking Framework
Planning Indicators
Benchmarking
Sustainable Development Goals
2. Transport and Land Use Planning
Quick and simple modeling tool
Move towards a data-driven and evidence-based planning
3. Investment Prioritization
IMPROVING PLANNING
For example, you can estimate accessibility to:
Employment Opportunities
Schools, Education Centers
Health Centers
Entertainment Centers and Green Areas
Shopping Centers
As well as the accessibility under different transportation scenarios, for
example:
Route reorganization
New infrastructure
Different levels of service and operations
7
DATA SETS
Transit data:
Bus routes (on Google Earth/GIS/AutoCAD)
Bus stops (on Google Earth/GIS/AutoCAD)
Bus schedules / GPS logs
Other data:
Recent population (blockwise/ward wise)
Jobs (office locations with total employees)
Schools, hospitals, … (locations with total strength)
8
BMTC NETWORK
JOBS DISTRIBUTION
10 lakhs jobs sample used in the tool
WARD WISE POPULATION 2011
Ward population converted into densities on 100
meters grids
SINGLE POINT ANALYSIS
Travel times estimation for
London using public transit
from given point
SINGLE POINT ANALYSIS
Access from Chinnaswamy stadium
after IPL match (9-11pm)
ACCESS FROM MAJESTIC
TIME NO OF JOBS
0 – 20 Minutes 1,50,000
20 – 40 Minutes 6,50,000
40 – 60 Minutes 9,50,000
60 – 120 Minutes 9,73,000
REGIONAL ANALYSIS
Accessibility in 60 mins
JOBS POPULATION
0 – 20 % 2,44,661
20 – 40 % 4,68,235
40 – 60 % 9,63,473
60 – 80 % 22,57,396
80 – 97 % 45,09,957
REGIONAL ANALYSIS
Accessibility in 40 mins
JOBS POPULATION
0 – 20 % 34,22,980
20 – 40 % 26,30,673
40 – 60 % 19,02,545
60 – 80 % 4,81,682
80 – 97 % 5,793
Accessibility & Urban Analytics
ACCESSIBILITY FOR DIFFERENT TYPES OF MODES (60 MINS)
Public transportation Automobile
METRO ACCESSIBILITY
COMPARISON: EFFECT OF METRO
EFFECT OF NEW ROUTE
Singasandra
Begur
Jambu Savari Dinne
K-6 ROUTE: SCHEDULE VS ACTUAL (GPS)TIME SCHEDULE COVERAGE ACTUALLY COVERED
0 - 20 34,617 26,410
20 - 40 2,20,146 1,39,010
40 - 60 5,27,205 3,71,516
60 - 80 7,44,662 6,37,920
80 - 120 12,46,520 10,44,040
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Moving Forward
Tool Improvements
Affordability: Adding double thresholds for time
and cost of travel
Quality
Scale up
Improving data
Global Metrics
Wide-spread utilization as a local
planning tool
LIMITATIONS OF THE TOOL
The tool has certain limits for visualization such as it doesn’t allow modification of colour coding, ranges
etc in the tool as it’s a web based interface. However the data can be downloaded so that the
modifications can be made in a local PC
Tool requires high bandwidth for functioning as the site is developed based on server side processing
(even though they are placed in clusters)
Comparisons for more than two scenarios can’t be done in the tool
User side tweaking of traffic parameters are not possible in the tool and they have to be modified only
with the initial GTFS creation
The tool is not designed for creating optimal scenarios but it rather evaluates and compares them
HANDS ON TOOL