A stated-preference intercept survey of transit-rider response to service disruptions

Auld, Joshua; Ley, Hubert; Verbas, Ömer; Golshani, Nima; Bechara, Josiane; Fontes, Angela

doi:10.1007/s12469-020-00243-z

Cited by 7 publications

(9 citation statements)

References 27 publications

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“…The main source of data used in the current study is a survey recently designed and conducted by a research team from Argonne National Laboratory, University of Illinois at Chicago, and University of Chicago. Full information about design of various parts of the survey, implementation process, and summary statistics of the collected data can be found in authors’ previous work ( 13 ). Here, the authors only elaborate on the sections that are related to the scope of the current study.…”

Section: Datamentioning

confidence: 99%

“…Passengers were intercepted by the survey implementation team at each of the four major transit systems in the Chicago area: CTA bus, CTA rail, Metra, and PACE suburban bus. Stations and stops were sampled employing a probability proportional to size sampling approach, with the size represented by the average daily ridership as well as the boarding information of each agency ( 13 ). As a result, around 100 separate stations were selected belonging to all major operators of the transit network.…”

Section: Datamentioning

confidence: 99%

“…With respect to the survey operation, trained interviewers were positioned in or near stations, considering rights that were granted by each transit agency ( 13 ). For CTA buses, passengers were intercepted at stations.…”

Section: Datamentioning

confidence: 99%

“…For CTA trains and Metra, interviewers were positioned right after the turnstiles to intercept riders who are either boarding or alighting multiple lines at each station ( 13 ). Interviewers were instructed to (1) select all passengers entering or exiting the station, (2) provide a short description of the research, and (3) offer a tear-off sheet that includes all the information necessary for completing the online survey ( 13 ). In addition, interviewers explained that a $5 Amazon E-gift card would be offered when the passenger completed the survey.…”

Section: Datamentioning

confidence: 99%

“…In the event of a disruption, a resilient transit system can help the affected areas to effectively respond to and recover from abnormal situations ( 13 ). The resiliency of a transit system is typically defined as the ability to recover from the disruption imposed on the system as quickly as possible to minimize the consequences of a disruption ( 14 ).…”

mentioning

confidence: 99%

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Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions

Rahimi

Shamshiripour

Shabanpour

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Public transit disruption is becoming more common across different transit services, and can have a destructive influence on the resiliency of the transportation system. Even though transit agencies have various strategies to mitigate the probability of failure in the transit system by conducting preventative actions, some disruptions cannot be avoided because of their either unpredictable or uncontrollable nature. Utilizing recently collected data of transit users in the Chicago Metropolitan Area, the current study aims to analyze how transit users respond to an unplanned service disruption and disclose the factors that affect their behavior. In this study, a random parameter multinomial logit model is employed to consider heterogeneity across observations as well as panel effects. The results of the analysis reveal that a wide range of factors including socio-demographic attributes, personal attitudes, trip-related information, and built environment are significant in passengers’ behavior in case of unplanned transit disruptions. Moreover, the effect of service recovery time on passengers is not the same among all types of disrupted services; rail users are more sensitive to the recovery time as compared with bus users. The findings of this study provide insights for transportation authorities to improve the transit service quality in relation to user satisfaction and transportation resilience. These insights help transit agencies to implement effective recovery strategies.

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Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions

Rahimi

Shamshiripour

Shabanpour

et al. 2020

Transportation Research Record: Journal of the Transportation R

Self Cite

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Robustness and disturbances in public transport

Voß

Xie

2022

Public Transp

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Network-based systems are at the core of our everyday life. Whether it is electronic networking, electricity grids or transportation, users expect the networks to function properly and provide a feeling of safety and security. However, there may be disturbances. In this paper, we consider disturbances in the context of public transportation. The focus in this respect is on public transport planning and operations. To classify and cope with disturbances, one can find many ideas, including robustness, resilience, vulnerability, disruption mitigation or delay management. We survey related streams of literature and put them into perspective. As a major insight we show that different strands of literature exist that may benefit from becoming better connected and intertwined. Together with recent advances in information technology and solution methods, more integrated problem settings incorporating robustness and disturbances can play a major role in future planning and operations.

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Attitudes towards public transport under extended disruptions and massive-scale transit dysfunction: A Hong Kong case study

He,

Tao,

Sun

2024

Transport Policy

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A stated-preference intercept survey of transit-rider response to service disruptions

Cited by 7 publications

References 27 publications

Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions

Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions

Robustness and disturbances in public transport

Attitudes towards public transport under extended disruptions and massive-scale transit dysfunction: A Hong Kong case study

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