Accessibility, Connectivity, and Captivity: Impacts on Transit Choice

Author:

Beimborn Edward A.1,Greenwald Michael J.2,Jin Xia3

Affiliation:

1. Center for Urban Transportation Studies, Engineering and Mathematical Sciences Building, Room E371D, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0784

2. Department of Urban Planning, School of Architecture and Urban Planning, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0413

3. Department of Civil Engineering, Center for Urban Transportation Studies, Department of Urban Planning, School of Architecture and Urban Planning, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0413

Abstract

Travelers can be classified into two groups: choice users and captive users. Choice users select transit or automobile service when they view one option as superior, whereas captive users have only one travel option. Surprisingly, little is known about captivity effects on mode split models. This research examines the way transit service factors such as accessibility and connectivity relate to mode captivity and mode choice. Data for this investigation come from the Portland, Oregon, 1994 Household Activity and Travel Diary Survey, the Regional Land Information System for the Portland area, the U.S. Environmental Protection Agency fuel economy database, and the U.S. Department of Energy. Individual trip data were segmented into transit captive, automobile captive, and choice users based on information about private vehicle availability, transit connectivity, and distance from a transit stop. Traditional transit mode split models are compared with models that segment users into choice and captive groups. It was found that traditional models underestimate the variation in mode choice for captive users, while overestimating the attractiveness of transit for choice users. These results indicate that better transit forecasts can result if accessibility and connectivity are used to help identify captive users. Additionally, among choice transit users, differences in travel times between automobile and transit modes do little to influence mode selection, while walk access to transit has more effect than previously thought.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference7 articles.

1. AusmanJ. Transit Level of Service Demonstration, Urban Transportation Planning Short Course. Tampa, Fla., March 2002.

2. Density and Captivity in Public Transit Success: Observations from the 1995 Nationwide Personal Transportation Study

3. Research-Based Transit Marketing in Southeastern Wisconsin

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