Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey

Urban transportation systems involve thousands of individuals making choices between routes with multiple modes and transfers. For transportation system simulations to produce realistic results, modelers need to incorporate these users and their choices. Choice‐based conjoint surveys provide an attractive solution for obtaining flexible utility models that can be used to predict choices for a wide variety of trips. In this study, we demonstrate an example using conjoint survey data of commuter mode choice in the Washington, D.C. metro area (N = 1651). We sample commuters who primarily drive and those that take transit. We examine preferences for different types of multimodal trips, including those with intramodal and intermodel transfers. We find that trips involving a bus transfer are the least preferred while both drivers and transit users both value metro similarly to driving. We also find that walking during transit trips is an important barrier, with the travel time penalty for walking being 60% higher than that of time in a vehicle. Our findings highlight the significance of accounting for differences in modal transfer types in transportation system simulations. Reducing arrival time uncertainty was not a significant factor in commuter mode choice, and commuters' value of time was similar across all vehicle types, suggesting that increasing the relative speed of transit modes may only have a marginal effect on commuter substitution away from personal vehicles.

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“…These findings are consistent with prior literature on intermodal transfers and travel time penalties, for example, Refs. 5, 17, 32.…”

Section: Discussionmentioning

confidence: 99%

Using conjoint analysis to incorporate heterogeneous preferences into multimodal transit trip simulations

Zhao¹,

Szajnfarber²,

Broniatowski³

et al. 2023

Systems Engineering

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“…It is more flexible than the standard logit model, and can relax the independence from irrelevant alternatives (IIA) assumption of the standard logit model because the ratio of mixed logit probabilities depends on all the data, including attributes of alternatives (Train, 2009). Studies that use the mixed logit model to estimate mode choice behavior also measure bus and subway as two independent modes (e.g., Shen, 2009;Agarwal et al, 2020;Deka and Carnegie, 2021).…”

Section: Mixed Logit Estimation On Distinct Tdm Policiesmentioning

confidence: 99%

The impact of traffic demand management policy mix on commuter travel choices

et al. 2022

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“…Jakarta is considered one of the most congested cities in the world. The importance of transport as one of the primary needs of any modern society cannot be underestimated (Ceder, 2021); (Farda & Lubis, 2018); (Jakarta Traffic: TomTom Traffic Index, 2022); (Deka & Carnegie, 2021). The reason is that the community's economy is centered in DKI Jakarta as the capital.…”

Section: Introductionmentioning

confidence: 99%

Modal Choice Analysis of Electric Railway Train and Private Vehicle for Travelers in Mangga Dua With Stated Preference Method

Rifai

Banu

Handayani

2023

IJOMS

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Transportation activity is a vital need for urban economic development. Mangga Dua, as a shopping center area and many other commercial points, has been supported by various modes of public transportation, one of which is the Electric Rail Train (KRL). The Bekasi area and its surroundings are a supporter of the transportation and agglomeration of Jakarta. Every day, many Bekasi people use the KRL for mobility activities to various areas covered by the KRL, including Mangga Dua. Even so, many private vehicle users still depend on road infrastructure which causes traffic congestion problems for Jakarta – Bekasi mobility. However, the fact that the Cikarang - Kampung Bandan KRL route is always busy indicates that KRL is still a solution for Bekasi - Jakarta transportation problem that many people choose. This research is intended to determine what factors influence the choice of KRL mode and what factors influence the choice of that mode. The method used is stated preference by collecting primary data using questionnaires from respondents who commute using Cikarang – Kampung Bandan Line. Data processing and analysis were carried out with the help of SPSS software version 16.0. The data processing and analysis results show that the factors influencing the choice of KRL mode are cost-effectiveness, safety, and convenience. Congestion and ease of access are the most influential factors afterward, and the effectiveness of travel time is the last order factor out of 5 factors in the most influential hypothesis. With the result that 71% of respondents chose KRL over motorbikes, it was concluded that KRL as a rail-based mode is a solution to the Jakarta - Bekasi transportation problem.

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Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey

Cited by 12 publications

References 39 publications

Using conjoint analysis to incorporate heterogeneous preferences into multimodal transit trip simulations

Using conjoint analysis to incorporate heterogeneous preferences into multimodal transit trip simulations

The impact of traffic demand management policy mix on commuter travel choices

Modal Choice Analysis of Electric Railway Train and Private Vehicle for Travelers in Mangga Dua With Stated Preference Method

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