Analysis of Intermodal Travel Behavior: A Case Study from the Nanjing Metropolitan

Jiao Ye, Mikkel Thorhauge, Yu Jiang, Jun Chen*, Otto Anker Nielsen

*Corresponding author for this work

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

Intermodal travel behavior plays a more and more important role in the multimodal urban transportation system. It is essential to know the characteristics of the intermodal travel behavior and being able to forecast the market shares to examine the potential effect of sustainable transport policies. The aim of this paper is to understand the underlying preferences of individual commuters with respect to mode choices including both direct modes and multimodal (transfer) modes and to forecast the (changes in) market shares by making non-car alternatives more attractive in order to recommend suitable policies. The mode choice model is based on a stated preference (SP) experiment, which was conducted in Nanjing, China. We found all the parameter estimates to be intuitive (e.g. negative parameters for travel time and cost). The forecasting results show that in order to increase the transit share rates, the most useful strategy is to enhance the bus travel speed, which e.g. can be achieved through dedicated bus lanes or signal prioritization.
Original languageEnglish
Publication date2020
Publication statusAccepted/In press - 2020

Cite this

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title = "Analysis of Intermodal Travel Behavior: A Case Study from the Nanjing Metropolitan",
abstract = "Intermodal travel behavior plays a more and more important role in the multimodal urban transportation system. It is essential to know the characteristics of the intermodal travel behavior and being able to forecast the market shares to examine the potential effect of sustainable transport policies. The aim of this paper is to understand the underlying preferences of individual commuters with respect to mode choices including both direct modes and multimodal (transfer) modes and to forecast the (changes in) market shares by making non-car alternatives more attractive in order to recommend suitable policies. The mode choice model is based on a stated preference (SP) experiment, which was conducted in Nanjing, China. We found all the parameter estimates to be intuitive (e.g. negative parameters for travel time and cost). The forecasting results show that in order to increase the transit share rates, the most useful strategy is to enhance the bus travel speed, which e.g. can be achieved through dedicated bus lanes or signal prioritization.",
author = "Jiao Ye and Mikkel Thorhauge and Yu Jiang and Jun Chen and Nielsen, {Otto Anker}",
year = "2020",
language = "English",

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Analysis of Intermodal Travel Behavior: A Case Study from the Nanjing Metropolitan. / Ye, Jiao; Thorhauge, Mikkel; Jiang, Yu; Chen, Jun; Nielsen, Otto Anker.

2020.

Research output: Contribution to conferencePaperResearchpeer-review

TY - CONF

T1 - Analysis of Intermodal Travel Behavior: A Case Study from the Nanjing Metropolitan

AU - Ye, Jiao

AU - Thorhauge, Mikkel

AU - Jiang, Yu

AU - Chen, Jun

AU - Nielsen, Otto Anker

PY - 2020

Y1 - 2020

N2 - Intermodal travel behavior plays a more and more important role in the multimodal urban transportation system. It is essential to know the characteristics of the intermodal travel behavior and being able to forecast the market shares to examine the potential effect of sustainable transport policies. The aim of this paper is to understand the underlying preferences of individual commuters with respect to mode choices including both direct modes and multimodal (transfer) modes and to forecast the (changes in) market shares by making non-car alternatives more attractive in order to recommend suitable policies. The mode choice model is based on a stated preference (SP) experiment, which was conducted in Nanjing, China. We found all the parameter estimates to be intuitive (e.g. negative parameters for travel time and cost). The forecasting results show that in order to increase the transit share rates, the most useful strategy is to enhance the bus travel speed, which e.g. can be achieved through dedicated bus lanes or signal prioritization.

AB - Intermodal travel behavior plays a more and more important role in the multimodal urban transportation system. It is essential to know the characteristics of the intermodal travel behavior and being able to forecast the market shares to examine the potential effect of sustainable transport policies. The aim of this paper is to understand the underlying preferences of individual commuters with respect to mode choices including both direct modes and multimodal (transfer) modes and to forecast the (changes in) market shares by making non-car alternatives more attractive in order to recommend suitable policies. The mode choice model is based on a stated preference (SP) experiment, which was conducted in Nanjing, China. We found all the parameter estimates to be intuitive (e.g. negative parameters for travel time and cost). The forecasting results show that in order to increase the transit share rates, the most useful strategy is to enhance the bus travel speed, which e.g. can be achieved through dedicated bus lanes or signal prioritization.

M3 - Paper

ER -