2012Unpublished venueRequires access

Investigation, Analysis, and Modeling of Choice Behavior of Park and Ride

Xianwei Liu, Meiping Yun, Zhenhuan Chen, Xiaoguang Yang

Open publisher page 9 citations

Abstract

Park and Ride is a transport management method to encourage drivers to park their car near metro stations and transfer to rail transit to enter the central areas of the city. This method is proved to be an effective way to increase the utilization rate of public transportation. Under this concept, Bike and Ride is also adopted by many cities. However, during Shanghai Expo, some of the newly built PR parking lots lied idle, which presented an unsuccessful experience for P&R. For this reason, it is necessary to investigate how to plan and build related facilities scientifically and reasonably and to make an effective management to alleviate traffic congestion in the central areas of the city. In this paper, the factors that influence whether people will choose park and ride or not, including travelers' individual properties, family attributes, trip characteristics, transfer services, and etc., are analyzed by behavior investigation in some typical park and ride stations in Shanghai. Based on this, a disaggregate model of the choice behavior of park and ride is established, which quantitatively analyzes the impact of trip characteristics and transfer services on the choice behavior of park and ride. The results will provide reference for the effect assessment of the park and ride system and the improvement of its planning and management.

About this research paper

What this paper is about

Park and Ride is a transport management method to encourage drivers to park their car near metro stations and transfer to rail transit to enter the central areas of the city. This method is proved to be an effective way to increase the utilization rate of public transportation. Under this concept, Bike and Ride is also adopted by many cities. However, during Shanghai Expo, some of the newly built PR parking lots lied idle, which presented an unsuccessful experience for P&R. For this reason, it is necessary to investigate how to plan and build related facilities scientifically and reasonably and to make an effective management to alleviate traffic congestion in the central areas of the city. In this paper, the factors that influence whether people will choose park and ride or not, including travelers' individual properties, family attributes, trip characteristics, transfer services, and etc., are analyzed by behavior investigation in some typical park and ride stations in Shanghai. Based on this, a disaggregate model of the choice behavior of park and ride is established, which quantitatively analyzes the impact of trip characteristics and transfer services on the choice behavior of park and ride. The results will provide reference for the effect assessment of the park and ride system and the improvement of its planning and management.

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Available abstract

Park and Ride is a transport management method to encourage drivers to park their car near metro stations and transfer to rail transit to enter the central areas of the city. This method is proved to be an effective way to increase the utilization rate of public transportation. Under this concept, Bike and Ride is also adopted by many cities. However, during Shanghai Expo, some of the newly built PR parking lots lied idle, which presented an unsuccessful experience for P&R. For this reason, it is necessary to investigate how to plan and build related facilities scientifically and reasonably and to make an effective management to alleviate traffic congestion in the central areas of the city. In this paper, the factors that influence whether people will choose park and ride or not, including travelers' individual properties, family attributes, trip characteristics, transfer services, and etc., are analyzed by behavior investigation in some typical park and ride stations in Shanghai. Based on this, a disaggregate model of the choice behavior of park and ride is established, which quantitatively analyzes the impact of trip characteristics and transfer services on the choice behavior of park and ride. The results will provide reference for the effect assessment of the park and ride system and the improvement of its planning and management.

Key concepts: Computer science

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