2013Transportation Research Record Journal of the Transportation Research BoardRequires access

Effect of Parking Charges at Transit Stations on Park-and-Ride Mode Choice

Khandker Nurul Habib, Mohamed S. Mahmoud, Jesse Coleman

Open publisher page 35 citations

Abstract

The objective of this study was to investigate the effect of increasing parking charges at park-and-ride stations on mode choice for current park-and-ride users. To address this objective, a stated preference (SP) survey was designed to study commuters’ willingness to pay for parking at park-and-ride transit stations. The SP survey was conducted at the 14 busiest park-and-ride transit stations in Greater Vancouver in British Columbia, Canada. The survey data were then used to model mode choice for longer-distance commuting trips by considering three major options: automobile all-way, transit all-way, and park-and-ride. A heteroscedastic multinomial logit model for stated preference of modal choices was estimated. The model included several major factors that were found to influence mode choice at park-and-ride stations. The estimated model parameters were then used to investigate direct and cross elasticities of parking charges at park-and-ride stations to mode choices. The model results show that an increase in parking charges at park-and-ride stations is more likely to divert current park-and-ride users to the transit all-way option compared with the private car all-way option.

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What this paper is about

The objective of this study was to investigate the effect of increasing parking charges at park-and-ride stations on mode choice for current park-and-ride users. To address this objective, a stated preference (SP) survey was designed to study commuters’ willingness to pay for parking at park-and-ride transit stations. The SP survey was conducted at the 14 busiest park-and-ride transit stations in Greater Vancouver in British Columbia, Canada. The survey data were then used to model mode choice for longer-distance commuting trips by considering three major options: automobile all-way, transit all-way, and park-and-ride. A heteroscedastic multinomial logit model for stated preference of modal choices was estimated. The model included several major factors that were found to influence mode choice at park-and-ride stations. The estimated model parameters were then used to investigate direct and cross elasticities of parking charges at park-and-ride stations to mode choices. The model results show that an increase in parking charges at park-and-ride stations is more likely to divert current park-and-ride users to the transit all-way option compared with the private car all-way option.

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Available abstract

The objective of this study was to investigate the effect of increasing parking charges at park-and-ride stations on mode choice for current park-and-ride users. To address this objective, a stated preference (SP) survey was designed to study commuters’ willingness to pay for parking at park-and-ride transit stations. The SP survey was conducted at the 14 busiest park-and-ride transit stations in Greater Vancouver in British Columbia, Canada. The survey data were then used to model mode choice for longer-distance commuting trips by considering three major options: automobile all-way, transit all-way, and park-and-ride. A heteroscedastic multinomial logit model for stated preference of modal choices was estimated. The model included several major factors that were found to influence mode choice at park-and-ride stations. The estimated model parameters were then used to investigate direct and cross elasticities of parking charges at park-and-ride stations to mode choices. The model results show that an increase in parking charges at park-and-ride stations is more likely to divert current park-and-ride users to the transit all-way option compared with the private car all-way option.

Key concepts: Park and ride, Transport engineering, Mode choice, Multinomial logistic regression, Transit (satellite), Revealed preference, Preference, Mode (computer interface)

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