Data in Support of Urban Transport Policy - Jerome Pourbaix - UITP - Transforming Transportation...
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Transcript of Data in Support of Urban Transport Policy - Jerome Pourbaix - UITP - Transforming Transportation...
www.TransformingTransportation.org
Data in Support of Urban TransportPolicy: Problems and Way Forward
Jerome Pourbaix Head of Policy, UITP Presented at Transforming Transportation 2015
FOCUS
Collection and use of data in support of urban
transport policy:
- Comparing performance of urban transport
between different cities and mobility patterns
- Measuring societal costs and benefits of urban
transport
- Monitoring changes in urban transport patterns
Data used for these purposes usually are collected for
other purposes, by many different players.
UITP 2
0
10.000
20.000
30.000
40.000
50.000
60.000
70.000
80.000
90.000
100.000
0 10 20 30 40 50 60 70 80 90 100
Proportion of trips made on foot, by bicycle and on public transport
R²=0,77
Annual energ
y c
onsum
ption
(megajo
ule
s/i
nhabitant)
ENERGY CONSUMPTION FOR
PASSENGER TRANSPORT
0
10
20
30
40
50
60
70
80
90
100
0 100 200 300 400 500 600 700 800 900
R²=0,54
Number of parking spaces per 1000 jobs in the CBD
Public t
ransport
mark
et
share
(m
echanis
ed &
moto
rised t
rips)
PARKING POLICY AND URBAN
TRANSPORT
SOURCES OF DATA
- Transport operators (public transport, taxi, car
sharing, etc.)
- Local, regional and national governments (various
departments and agencies)
- Research centres (universities, consultancies, etc.)
- Telecom operators, service providers, banks, …
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GEOGRAPHICAL SCALE
Problems:
- Need to compare areas that have similar functions.
- Frequent mismatch between functional and
administrative areas.
- Multiplicity of sources at metropolitan level
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Way forward:
- Development of methodologies
for definition of comparable
functional areas (cf. OECD, EU)
- Development of urban transport
accounts
AVAILABILITY AND
RELIABILITY OF DATA Problems:
- High costs of data collection
- Commercial sensitivity of data
- Methodological issues
Way forward:
- Promotion of open data strategies
- Inclusion of data provision in service contracts
- Provision of financial incentives for data collection
- Devise new indicators
- Exploit the potential of new technologies UITP 9
HOUSEHOLD TRAVEL SURVEYS:
UPDATE FREQUENCY
UITP 10
• London and Vienna: annual
• Turin: two years
• Berlin, Hamburg, Munich: six years
• Rome, Milan, Budapest, Brussels: ten years
COMPARABILITY OF DATA
Problems:
- Definitions reflect local circumstances, and local/national standards.
- Different hypotheses/bias behind different data collection methodologies.
- Unwillingness to break time-series.
Way forward:
- Develop methods for post-harmonisation of data (through explicitation of underlying hypotheses).
- Progressive diffusion of harmonised methodologies and definitions.
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CONCLUSION
Agenda for international associations and agencies
Developing guidance and building capacity for:
- Translation of objectives into indicators,
- Choosing relevant data collection methods,
- Developing of observatories of mobility and local
transport accounts
- Exploitation of new technologies
- Post-harmonsation of data
UITP 12
THANK YOU FOR YOUR
ATTENTION
Jerome Pourbaix
Head of Policy
International Association of Public Transport
UITP
www.uitp.org
@jp_uitp