Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions
| Autor: | Ramin Shabanpour, Ali Shamshiripour, Abolfazl Mohammadian, Joshua Auld, Ehsan Rahimi |
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| Rok vydání: | 2020 |
| Předmět: |
Waiting time
Service (business) 050210 logistics & transportation business.industry Mechanical Engineering 05 social sciences 010501 environmental sciences 01 natural sciences Public transport 0502 economics and business Operations management Customer satisfaction Business Transit (astronomy) 0105 earth and related environmental sciences Civil and Structural Engineering |
| Zdroj: | Transportation Research Record: Journal of the Transportation Research Board. 2674:258-271 |
| ISSN: | 2169-4052 0361-1981 |
| DOI: | 10.1177/0361198120911921 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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