How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles

Chakrabarti, Sandip

doi:10.1016/j.tranpol.2016.11.005

Cited by 80 publications

(43 citation statements)

References 25 publications

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“…The present studies demonstrated that U.S. public transit agencies, including the Los Angeles County Metro Transit, have invested to extend the infrastructures for public transport since 1990s but increasing investments could not necessarily increase ridership [11,12]. In its 2017 report, the LA Times stated that "since 2009, Metro has opened four new rail extensions at a cost of more than $4 billion.…”

Section: Introductionmentioning

confidence: 76%

Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line

et al. 2017

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Section: Introductionmentioning

confidence: 76%

Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line

et al. 2017

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“…The population of some countries is relatively small, and the development of public transport may result in a waste of funds. However, cities with large populations such as Los Angeles also adopt effective strategies for increasing transit competitiveness relative to auto, and hence attract people out of their cars [24]. In addition to the difference in population, there are differences in travel modes.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China

Liu

Gao

et al. 2020

Sustainability

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Alleviating traffic congestion and developing sustainable transportation systems in a city can be assisted by promoting environmentally friendly transportation modes such as walking, cycling, and public transport. Strategies for promoting these desirable transportation modes can be identified based on a sound understanding of how commuters choose travel modes. In this study, multi-day commuting travel mode data was used to explore factors that influenced commute mode choice. A multinomial logit model and a binary logit model were proposed to study commuter travel behavior. The results showed the following. (1) Age, gender, and marriage indirectly influence the commute mode choice; (2) The cost of travel mode has little effect on commute mode choice; (3) The probability of commute mode change mainly influences the car mode choice; (4) The number of transfer times and the distance to the nearest public transport stations are main factors that restrict commuters from choosing public transport; (5) The number of bicycles in the family and commute distance are main factors that restrict commuters from choosing cycling for commuting. Based on these findings, several potential measures are demonstrated to policymakers and transportation planners to alleviate traffic congestion and develop sustainable transportation systems.

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“…An extensive body of knowledge has shown that the passengers' perception on the transit system's service is related to their preference of taking the system. We may even conclude that the transit system's service is the first thing that is concerned by researchers when trying to understand the patronage and passengers loyalty of a transit system (Sharaby & Shiftan, 2012;Hensher & Li, 2012;Batty et al, 2015;Chakrabarti & Giuliano, 2015;Van Lierop & El-Geneidy, 2016;Satiennam et al, 2016;Chakrabarti, 2017;Fearnley et al, 2017). The passengers' perception of the rapid transit system's service encompasses both quantifiable and less-quantifiable components.…”

Section: Passengers' Perception Of Bus Rapid Transit (Brt) System's Smentioning

confidence: 99%

“…Vehicle speed, frequency and headway are concerned when trying to understand the patronage and passengers' loyalty of various transit systems (Currie & Delbosc, 2011;Hensher & Li, 2012;Batty et al, 2015;Chakrabarti & Giuliano, 2015;Van Lierop & El-Geneidy, 2016;Satiennam et al, 2016;Chakrabarti, 2017). Vehicle speed, frequency, and headway influence passengers' total trip time.…”

Section: Passengers' Perception Of Bus Rapid Transit (Brt) System's Smentioning

confidence: 99%

“…Transit network integration is concerned when evaluating patronage and modal-shifting potential of various transit systems (Sharaby & Shiftan, 2012;Hensher & Li, 2012;Batty et al, 2015;Chakrabarti, 2017). Transit network integration necessitates the availability of comprehensive coverage of the transit system.…”

Section: Passengers' Perception Of Bus Rapid Transit (Brt) System's Smentioning

confidence: 99%

See 1 more Smart Citation

Bus Rapid Transit-oriented Development: An Identification of Bus Rapid Transit System Passengers’ Modal Shift Potential Considerations

Prayogi¹,

Satwikasari²

2019

CSID-JID

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This article explores some issues that are potentially considered by bus rapid transit (BRT) system passengers when shifting their mode of transport from driving their vehicle to taking the BRT system for the same kind of trip. The issues are explored as part of an attempt to design an appropriate BRT passengers' modal shift evaluation. The BRT passengers' modal shift evaluation is to be carried out to understand how a BRT system may influence urban development around the system and how it may trigger transit-oriented development (TOD) around the system. This article was written through a literature review directed on certain topics, that are BRT ridership-influencing factors, the BRT system passengers' behavior, the built environment condition around BRT systems, the types of transit system passengers and the types of trips carried out utilizing a transit system. It is found that several components of BRT system service quality and several components of the built environment around the system potentially influence the BRT system passengers' consideration when shifting their mode of transport. However, the influence may not be homogenous among all passenger-trips due to the different passengers' backgrounds and the different types of trips carried out utilizing the BRT system.

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How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles

Cited by 80 publications

References 25 publications

Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line

Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line

Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China

Bus Rapid Transit-oriented Development: An Identification of Bus Rapid Transit System Passengers’ Modal Shift Potential Considerations

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