ASSESSING IMPACT OF RESIDENTIAL SELF-SELECTION ON TRAVEL CHOICE BEHAVIOR IN BANGKOK, THAILAND

In recent years, there has been rapid development in bicycle-sharing systems (BSS) in China. Moreover, such schemes are considered promising solutions to the first/last mile problem. This study investigates the mode choice behaviors of travelers for first/last mile trips before and after the introduction of bicycle-sharing systems. Travel choice models for first/last mile trips are determined using a multinomial logit model. It also analyzes the differences in choice behavior between the young and other age groups. The findings show that shared bicycles become the preferred mode, while travelers preferred walking before bicycle-sharing systems were implemented. Gender, bicycle availability, and travel frequency were the most significant factors before the implementation of bicycle-sharing systems. However, after implementation, access distance dramatically affects mode choices for first/last mile trips. When shared bicycles are available, the mode choices of middle-aged group depend mainly on gender and access distance. All factors are not significant for the young and aged groups. More than 80% of public transport travelers take walking and shared bicycles as feeder modes. The proposed models and findings contribute to a better understanding of travelers’ choice behaviors and to the development of solutions for the first/last mile problem.

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Non-linear utility functions in models of travel choice behavior

Transportation ◽

10.1007/bf00165262 ◽

1981 ◽

Vol 10 (2) ◽

pp. 127-146 ◽

Cited By ~ 24

Author(s):

Frank S. Koppelman

Keyword(s):

Choice Behavior ◽

Utility Functions ◽

Travel Choice ◽

Non Linear ◽

Linear Utility ◽

Linear Utility Functions

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An Empirical Study of Parameter Estimation for Stated Preference Experimental Design

Mathematical Problems in Engineering ◽

10.1155/2014/292608 ◽

2014 ◽

Vol 2014 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Fei Yang ◽

Lin Chen ◽

Yang Cheng ◽

Xia Luo ◽

Bin Ran

Keyword(s):

Experimental Design ◽

Choice Behavior ◽

Arrival Time ◽

Choice Model ◽

Stated Preference ◽

Orthogonal Design ◽

Parameters Estimation ◽

Efficient Design ◽

Travel Choice ◽

Better Than

The stated preference experimental design can affect the reliability of the parameters estimation in discrete choice model. Some scholars have proposed some new experimental designs, such as D-efficient, Bayesian D-efficient. But insufficient empirical research has been conducted on the effectiveness of these new designs and there has been little comparative analysis of the new designs against the traditional designs. In this paper, a new metro connecting Chengdu and its satellite cities is taken as the research subject to demonstrate the validity of the D-efficient and Bayesian D-efficient design. Comparisons between these new designs and orthogonal design were made by the fit of model and standard deviation of parameters estimation; then the best model result is obtained to analyze the travel choice behavior. The results indicate that Bayesian D-efficient design works better than D-efficient design. Some of the variables can affect significantly the choice behavior of people, including the waiting time and arrival time. The D-efficient and Bayesian D-efficient design for MNL can acquire reliability result in ML model, but the ML model cannot develop the theory advantages of these two designs. Finally, the metro can handle over 40% passengers flow if the metro will be operated in the future.

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Effects of Weibo Information on Travel Choice Behavior

CICTP 2014 ◽

10.1061/9780784413623.043 ◽

2014 ◽

Author(s):

Xiaowei Jiang ◽

Yanjie Ji ◽

Wei Deng

Keyword(s):

Choice Behavior ◽

Travel Choice

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Highway Passenger Transport Development Strategy with the Competition of High-Speed Railway

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.94-96.527 ◽

2011 ◽

Vol 94-96 ◽

pp. 527-530

Author(s):

Si Tao Hu ◽

Xue Mei Wang

Keyword(s):

Development Strategy ◽

High Speed ◽

Choice Behavior ◽

Rapid Development ◽

Technical Support ◽

Passenger Transport ◽

High Speed Railway ◽

Travel Choice ◽

Support Resource ◽

The Impact

With the rapid development of high-speed passenger railway and inter-city railway, highway passenger transport is facing an unprecedented competition and pressure. The impact of high-speed railway on highway passenger transport has been analysis and the transport characteristics of high-speed railway are compared with the highways’. On the basis of the travel choice behavior of passengers analysis, the systematized countermeasures of highway passenger transport are put forward including precise orientation, strengthen marketing enhancement, technical support, resource integration, brand service and government help.

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Dynamic Mechanism of Effect Factors for Railway Passenger Volume

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.5848 ◽

2014 ◽

Vol 644-650 ◽

pp. 5848-5852

Author(s):

Chen Wang

Keyword(s):

Choice Behavior ◽

Gdp Growth ◽

Economic Factors ◽

Effect Factors ◽

Travel Choice ◽

Linear Dynamic ◽

Gdp Growth Rate ◽

Passenger Volume ◽

Railway Passenger ◽

Statistical Yearbook

The railway passenger volume is a non-linear, dynamic and complicated issue which is affected by many factors. Using the principle and method of system dynamic, this paper has analyzed the effect factors for railway passenger volume, including the economic factors, rail infrastructure factors and travel choice behavior factor. Considering about the causality among the factors, a dynamic model has been built based on the relevant data from <China Statistical Yearbook (2000-2013)>. At the same time, the model has been run for making predictions (2014-2030). This paper focuses on the influences caused by the fare increase and the increase of GDP growth rate.

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