Dynamic User-Optimal Mode Choice Models

Jakarta Light Rail Transit (Jakarta LRT) has been planned to be built as one of mass rail-based public transportation system in DKI Jakarta. The objective of this paper is to obtain a mode choice models that can explain the probability of choosing Jakarta LRT, and to estimate the sensitivity of mode choice if the attribute changes. Analysis of the research conducted by using discrete choice models approach to the behavior of individuals. Choice modes were observed between 1) Jakarta LRT and TransJakarta Bus, 2) Jakarta LRT and KRL-Commuter Jabodetabek. Mode choice model used is the Binomial Logit Model. The research data obtained through Stated Preference (SP) techniques. The model using the attribute influences such as tariff, travel time, headway and walking time. The models obtained are reliable and validated. Based on the results of the analysis shows that the most sensitive attributes affect the mode choice model is the tariff.

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Mode Choice Models

Encyclopedia of Transportation: Social Science and Policy ◽

10.4135/9781483346526.n326 ◽

2014 ◽

Author(s):

Yoram Shiftan

Keyword(s):

Mode Choice ◽

Choice Models

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Development of Intercity Mode Choice Models for Public Transport in Saudi Arabia: Requirements and Responsibilities

Journal of King Abdulaziz University-Engineering Sciences ◽

10.4197/eng.16-1.13 ◽

2005 ◽

Vol 16 (1) ◽

pp. 17-34 ◽

Cited By ~ 1

Author(s):

H. Al-Ahmadi ◽

S. Al-Mubaiyedh ◽

M. Al-Sughaiyer

Keyword(s):

Saudi Arabia ◽

Public Transport ◽

Mode Choice ◽

Choice Models

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Comparison of Different Mode Choice Models for Work Trips using Data Mining Process

Indian Journal of Science and Technology ◽

10.17485/ijst/2017/v10i17/114376 ◽

2017 ◽

Vol 10 (17) ◽

pp. 1-3

Author(s):

Jayesh Juremalani ◽

Krupesh A. Chauhan ◽

◽

Keyword(s):

Data Mining ◽

Mode Choice ◽

Choice Models ◽

Using Data

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Mode choice models' ability to express intention to change travel behaviour considering non-compensatory rules and latent variables

IATSS Research ◽

10.1016/j.iatssr.2012.10.001 ◽

2013 ◽

Vol 36 (2) ◽

pp. 129-138 ◽

Cited By ~ 9

Author(s):

Nobuhiro Sanko ◽

Takayuki Morikawa ◽

Shinya Kurauchi

Keyword(s):

Latent Variables ◽

Mode Choice ◽

Travel Behaviour ◽

Choice Models ◽

Intention To Change

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Could a New Mode Alternative Modify Psycho-Attitudinal Factors and Travel Behavior?

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198119843478 ◽

2019 ◽

Vol 2673 (9) ◽

pp. 94-106

Author(s):

Eleonora Sottile ◽

Francesco Piras ◽

Italo Meloni

Keyword(s):

Travel Behavior ◽

Latent Variables ◽

Mode Choice ◽

Choice Models ◽

Individual Characteristics ◽

Policy Implications ◽

Light Rail ◽

Attitudinal Factors ◽

The Impact ◽

Over Time

There is ample consensus that, besides objective characteristics, psycho-attitudinal factors play a key role in influencing people’s mode choice. Hybrid choice models use these theoretical frameworks so as to include latent constructs for capturing the impact of subjective factors on mode choice. But recent work in transportation research raised the question about the ability of hybrid choice models to derive policy implications that aim to change travel behavior, given the focus on cross-sectional data. To address this problem we designed a survey for collecting longitudinal data (socio-economic and psycho-attitudinal) to evaluate, on the one hand, the long-term effects on travel mode choice of the implementation of a new light rail line in the metropolitan area of Cagliari (Italy), on the other to detect any changes in the psycho-attitudinal factors and socio-economic characteristics after implementation of those measures. In particular, the objective of the study is to analyze whether these changes in individual characteristics are able to affect mode choice from a modeling perspective, through the specification and estimation of hybrid models. Our results show that latent variables were not significantly different over waves, showing that the impact of the psychological construct remained stable over time, even after the introduction of the new light rail. Additionally, we found some evidence that the variables that explain the latent variables could change over time.

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