2009Unpublished venueRequires access

Access Mode Choice Model for Highway Passenger Station

Lei Lei, Xia Luo, Xiaowen Jiang

Open publisher page 2 citations

Abstract

With the continuous construction of china highway network, highway passenger transportation is rapidly developing to be an important main mode, occupying a leading position in Chinese intercity passenger transportation. Actually, it plays a crucial role in station planning and evaluating the related transport policy to be aware of the choose behavior and mode share rate of passenger's access mode to highway passenger station. Because of this, taking the city of Shenzhen to be an example, this paper constructs an access mode choice model of Shenzhen highway passenger station with Multinomial Logit Model. Based on passenger survey data of Shenzhen Futian highway passenger station, we choose trip time and trip cost as the variables which could describe the characteristics of access mode. What's more, combining with the other variables which affect the access mode choice, such as those describing passenger's individual social-economical characteristics, we estimate model's parameters and have a statistical test to screen out variables which have an obvious effect on access mode choice, finally as precise as possible to reflect the choose behavior of passenger's access mode and to provide a basis for related planning making and policy evaluating.

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What this paper is about

With the continuous construction of china highway network, highway passenger transportation is rapidly developing to be an important main mode, occupying a leading position in Chinese intercity passenger transportation. Actually, it plays a crucial role in station planning and evaluating the related transport policy to be aware of the choose behavior and mode share rate of passenger's access mode to highway passenger station. Because of this, taking the city of Shenzhen to be an example, this paper constructs an access mode choice model of Shenzhen highway passenger station with Multinomial Logit Model. Based on passenger survey data of Shenzhen Futian highway passenger station, we choose trip time and trip cost as the variables which could describe the characteristics of access mode. What's more, combining with the other variables which affect the access mode choice, such as those describing passenger's individual social-economical characteristics, we estimate model's parameters and have a statistical test to screen out variables which have an obvious effect on access mode choice, finally as precise as possible to reflect the choose behavior of passenger's access mode and to provide a basis for related planning making and policy evaluating.

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Available abstract

With the continuous construction of china highway network, highway passenger transportation is rapidly developing to be an important main mode, occupying a leading position in Chinese intercity passenger transportation. Actually, it plays a crucial role in station planning and evaluating the related transport policy to be aware of the choose behavior and mode share rate of passenger's access mode to highway passenger station. Because of this, taking the city of Shenzhen to be an example, this paper constructs an access mode choice model of Shenzhen highway passenger station with Multinomial Logit Model. Based on passenger survey data of Shenzhen Futian highway passenger station, we choose trip time and trip cost as the variables which could describe the characteristics of access mode. What's more, combining with the other variables which affect the access mode choice, such as those describing passenger's individual social-economical characteristics, we estimate model's parameters and have a statistical test to screen out variables which have an obvious effect on access mode choice, finally as precise as possible to reflect the choose behavior of passenger's access mode and to provide a basis for related planning making and policy evaluating.

Key concepts: Transport engineering, Mode (computer interface), Mode choice, Multinomial logistic regression, Computer science, Passenger transport, Operations research, Engineering

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