B.1 Data for public transit planning, marketing and model development

1. B.1 Data for public transit planning, marketing and model development 17 participants 10 countries Australia Austria Brazil Canada Chile France Germany Israel Nigeria USA • Chair: Orlando Strambi • Resource paper: Gerd Sammer • 2 contributed papers: • Chapleau, Trépanier and Chu • van der Waerden, Timmermans and Bérénos • Discussant: Linda Cherrington • Rapporteur: Martin Trépanier

2. What is changing in the public transport scene (1)? • Transit agencies/operators have increasing focus on business practices (in some cases, a market-like situation) • Performance, benchmarking, customer satisfaction • Multi-modal, multi-agency, multi operator • Public policy to increase use of public transport as beneficial to sustainability • Increased concern about personal security

3. What is changing in the public transport scene (2)? • Transit rider response to surveys are increasingly more difficult • New technology tools for data collection– and data analysis • AVL, AFC, APC, cameras... • Increasing modeling capabilities and processing power • Data analysis requirements and choice of technology must be integrated • But, do they provide a complete picture?

4. Are these our data needs? • Data Needs • Ridership (and revenue) • Detailed info about trip stages and intermodality • Needs of specific groups of the population • Performance/Service quality (objective/subjective) • Customer satisfaction (subjective) • Benchmarking (requires comparable data) • Allocation of passenger miles (and revenue) • Market potential (new users, lost users) • Attitudes of the general public towards public transport

5. Are these our data sources? • Data sources • Administrative (network/operational) • Routes, schedules • Inter-modal terminals, stations, stops • Vehicles • Operators • Costs/Revenues • ITS (passive) • AVL (automatic vehicle location) • AFC (automatic fare collection) • APC (automatic passenger counting) • Surveys (active) – remember! this is a survey methods conference • Others • Spatial data (GIS) – census, land use

6. What type of surveys do we need? • If passive data is available, surveys can be more focused • HH surveys focused on PT info at higher level of spatial resolution) • OBAD on-board surveys • Customer satisfaction, preferences, attitudes • Special needs / Mobility impaired • Other markets? • What type of analyses will we do with this (and other) data? • Model user behavior • Identify market segments • Identify relevant service improvements • To retain current users • To attract new users • To improve Revenue/Cost

7. Research needs • Ways to cope with decreasing response rates • Integrated use of additional sources of data • Automated data • PT system data • Land use/Census data • Methodological developments • Data fusion for PT information • Analysis of variability in multiday data • Data on potential markets • Survey improvements • Adapt HH surveys to PT data needs • Accommodate improved level of spatial resolution

8. Data harmonization • Not much discussion on the workshop • But, some good examples identified • On board surveys • Common practice, similar approaches • Automated data collection provides similar data • Important • Harmonization of attitudes towards public transportation

9. Attitudinal Surveys for P.T. “In the event of conflict P.T. has priority over car traffic”