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Modeling commuters’ preference towards sharing paratransit services
Abstract The transportation sector in India faces significant issues, such as congestion and air pollution, and is in dire need of sustainable strategies. Sharing vehicles is one of the popular sustainable strategies. Sharing auto-rickshaws, a paratransit mode, currently informally operating with a significant mode share, offers an opportunity to tackle sustainability issues. There are several challenges to integrating and promoting auto-rickshaw system as shared transportation using a formal structure of policies. The primary reason is a dearth of studies on sharing auto-rickshaws, leading to policymakers lacking knowledge and focus. The present study contributes to the literature to divert focus on sharing auto-rickshaws in India, considering Mumbai Metropolitan Region (MMR) as a study area. This study attempts to assess and model the intentions of users and non-users toward auto-rickshaw sharing using stated preference (SP) choice experiments and estimate Willingness-to-Pay (WTP) considering multiple socio-economic heterogeneities. Results highlight that the most critical attributes are travel time reliability and access time among different groups. Importance of having real-time information on trips among females and sharing auto-rickshaw users is high. The study provides a transparent direction toward ensuring efficient and integrated policymaking and guidelines for promoting auto-rickshaw sharing in urban areas of the Indian subcontinent with limited resources.
Highlights Perception of users and non-users of sharing auto-rickshaws are compared. Segmentation analysis is used to assess heterogeneity among different subgroups. Willingness to pay for the subgroups is estimated by Mixed-logit modeling. Travel time reliability and Access time are most important for all sub-groups. Clear direction to promote auto-rickshaw sharing and integrate it into policymaking.
Modeling commuters’ preference towards sharing paratransit services
Abstract The transportation sector in India faces significant issues, such as congestion and air pollution, and is in dire need of sustainable strategies. Sharing vehicles is one of the popular sustainable strategies. Sharing auto-rickshaws, a paratransit mode, currently informally operating with a significant mode share, offers an opportunity to tackle sustainability issues. There are several challenges to integrating and promoting auto-rickshaw system as shared transportation using a formal structure of policies. The primary reason is a dearth of studies on sharing auto-rickshaws, leading to policymakers lacking knowledge and focus. The present study contributes to the literature to divert focus on sharing auto-rickshaws in India, considering Mumbai Metropolitan Region (MMR) as a study area. This study attempts to assess and model the intentions of users and non-users toward auto-rickshaw sharing using stated preference (SP) choice experiments and estimate Willingness-to-Pay (WTP) considering multiple socio-economic heterogeneities. Results highlight that the most critical attributes are travel time reliability and access time among different groups. Importance of having real-time information on trips among females and sharing auto-rickshaw users is high. The study provides a transparent direction toward ensuring efficient and integrated policymaking and guidelines for promoting auto-rickshaw sharing in urban areas of the Indian subcontinent with limited resources.
Highlights Perception of users and non-users of sharing auto-rickshaws are compared. Segmentation analysis is used to assess heterogeneity among different subgroups. Willingness to pay for the subgroups is estimated by Mixed-logit modeling. Travel time reliability and Access time are most important for all sub-groups. Clear direction to promote auto-rickshaw sharing and integrate it into policymaking.
Modeling commuters’ preference towards sharing paratransit services
Das, Deepjyoti (Autor:in) / Bhaduri, Eeshan (Autor:in) / Velaga, Nagendra R. (Autor:in)
Transport Policy ; 143 ; 132-149
08.09.2023
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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