01556565

Component

https://doi.org/10.3141/2526-12

This paper presents an investigation of the mode choice behavior of cross-regional commuters in the greater Toronto and Hamilton area of Ontario, Canada. A survey of cross-regional intermodal passenger travel (called SCRIPT) was developed and conducted during the spring and the fall of 2014. SCRIPT collects data on respondents’ revealed preference in daily commuting trips to pivot each respondent’s mode choice stated preference experiment separately. An innovative multimodal trip planner tool was developed to generate feasible travel options for each stated preference experiment with information on household auto ownership level, proximity to transit, work start time, and total travel time from home to work, as well as predeveloped discrete choice models to identify access station locations of intermodal travel modes. The stated preference experiments were based on the D-efficient design technique. The survey used 1,203 randomly selected cross-regional commuters. The paper reports on a mode choice model estimated by the revealed preference data portion of the survey to verify the validity of the survey design, sampling procedure, and data quality. An empirical model provides insight into cross-regional commuters’ mode choice behavior.

01593418

15-2284

English

pp 108–118

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369374

Print

Figures (4) ; References (35) ; Tables (5)

Choice models; Commuters; Intermodal transportation; Mode choice; Multimodal transportation; Revealed preferences; Stated preferences

Survey of Cross-Regional Intermodal Passenger Travel (SCRIPT)

Trip planning

Hamilton (Canada); Toronto (Canada)

Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Dec 30 2014 12:48PM

• Analyzing Cell Phone Location Data for Urban Travel: Current Methods, Limitations, and Opportunities
• Arterial Travel Time Validation and Augmentation with Two Independent Data Sources
• Demographic Characterization of Anonymous Trace Travel Data
• Design and Implementation of a Smartphone-Based Travel Survey
• Dynamic Traffic Flow Model for Travel Time Estimation
• Framework for Automating Travel Activity Inference Using Land Use Data: The Case of Foursquare in the Greater Toronto and Hamilton Area, Ontario, Canada
• GPS and Acceleration Data in Multimode Trip Data Recognition Based on Wavelet Transform Modulus Maximum Algorithm
• Improved Travel Time Estimation for Reliable Performance Measure Development for Closed Highways
• Integrating Adaptive Lighting Database with SHRP 2 Naturalistic Driving Study Data
• Performance Measures to Characterize Corridor Travel Time Delay Based on Probe Vehicle Data
• Predicting and Applying Differential Response Rates in Address-Based Sampling for a Household Travel Survey
• Shock Wave Boundary Identification Using Cloud-Based Probe Data
• Use of Multisensor Data in Reliable Short-Term Travel Time Forecasting for Urban Roads: Dempster–Shafer Approach
• Validating Rail Transit Assignment Models with Cluster Analysis and Automatic Fare Collection Data