Factors That Influence Travelers’ Willingness to Adopt Bus Rapid Transit (Green Line) Service in Karachi
Rabia Soomro (),
Irfan Ahmed Memon (),
Agha Faisal Habib Pathan,
Waqas Ahmed Mahar,
Noman Sahito and
Zulfiqar Ali Lashari
Additional contact information
Rabia Soomro: Department of Civil Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Sindh, Pakistan
Irfan Ahmed Memon: Department of City and Regional Planning, Mehran University of Engineering and Technology, Jamshoro 76062, Sindh, Pakistan
Agha Faisal Habib Pathan: Department of Civil Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Sindh, Pakistan
Waqas Ahmed Mahar: Department of Architecture, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Airport Road, Baleli, Quetta 87300, Balochistan, Pakistan
Noman Sahito: Department of City and Regional Planning, Mehran University of Engineering and Technology, Jamshoro 76062, Sindh, Pakistan
Zulfiqar Ali Lashari: Department of City and Regional Planning, Mehran University of Engineering and Technology, Jamshoro 76062, Sindh, Pakistan
Sustainability, 2022, vol. 14, issue 16, 1-35
Abstract:
Bus rapid transit (BRT) system is a sustainable mode choice alternative and traffic management method for traffic congestion problems in urban areas. As an extent of total demand management, BRT has broadly been implemented in many countries. BRT has proven to be progressive in alleviating traffic congestion and the difficulty of finding parking spaces in city centers. Currently, people driving their automobiles to work cause traffic congestion along Karachi’s main corridors. People cannot be persuaded to use public transit until their travel patterns are understood. Therefore, the disparity between public and private transportation must be addressed. This research aimed to develop a model to shift car travelers toward Karachi’s Green Line BRT and investigate the factors that influence car travelers’ decisions. A questionnaire-based survey was carried out on single-occupant vehicle (SOV) users in the Green Line corridor of Karachi. This study investigated the elements that influence SOV users’ willingness to adopt the BRT system and studied the possible ways of attracting car drivers to BRT. Data were examined using descriptive-analytic techniques such as the contingency table approach in conjunction with a Chi-square test of the independence/association model in SPSS. Furthermore, binary logistic regression was applied to the highly mediated associated variables. The research’s outcomes were geared at the imposition of parking fees at workplaces to deter individuals from parking their automobiles there. SOV travelers can be diverted to BRT services using this strategy. The research findings will assist policymakers and serve as a foundation for scientific investigations on the travel demand model for the BRT system.
Keywords: Karachi Green Line; travel behavior; travel pattern; Karachi; bus rapid transit (BRT); binary logistic regression (BLR) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:16:p:10184-:d:889838
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