Title

Analysing bicycle-sharing system user destination choice preferences: Chicago's Divvy system

Authors

Authors

A. Faghih-Imani;N. Eluru

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

J. Transp. Geogr.

Keywords

Bicycle sharing systems; Divvy Chicago; Destination choice; Location; choice; Multinomial logit model; Bicycle infrastructure; LOCATION CHOICE; MODE CHOICE; LAND-USE; MONTREAL; IMPACT; CANADA; CITIES; SCHEME; TRAVEL; TIME; Economics; Geography; Transportation

Abstract

In recent years, there has been increasing attention on bicycle-sharing systems (BSS) as a viable and sustainable mode of transportation for short trips. However, due to the relatively recent adoption of BSS, there is very little research exploring how people consider these systems within existing transportation options. Given recent BSS growth around the world, there is substantial interest in identifying contributing factors that encourage individuals to use these systems. The current study contributes to this growing literature by examining BSS behavior at the trip level to analyze bicyclists' destination preferences. Specifically, we study the decision process involved in identifying destination locations after picking up a bicycle at a BSS station, using a random utility maximization approach in the form of a multinomial logit model (MNL). The quantitative frameworks developed have been estimated using 2013 data from the Chicago's Divvy system. In our modeling effort, we distinguish between BSS users with annual membership and short-term customers with daily passes. The developed model should allow bicycle-sharing system operators to plan services more effectively by examining the impact of travel distance, land use, built environment, and access to public transportation infrastructure on users' destination preferences. Using the estimated model, we generated utility profiles as a function of distance and various other attributes, allowing us to represent visually the trade-offs that individuals make in the decision process. To illustrate further the applicability of the proposed framework for planning purposes, destination station-choice probability prediction is undertaken. (C) 2015 Elsevier Ltd. All rights reserved.

Journal Title

Journal of Transport Geography

Volume

44

Publication Date

1-1-2015

Document Type

Article

Language

English

First Page

53

Last Page

64

WOS Identifier

WOS:000354580100006

ISSN

0966-6923

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