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Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

Author

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  • Irfan Ullah

    (School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China)

  • Kai Liu

    (School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China)

  • Tran Vanduy

    (School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China)

Abstract

In recent years, car sharing has emerged as a novel alternative to private car ownership in urban areas worldwide. Potential benefits of this system include improved mobility and reduced congestion, vehicle ownership, parking issues, and greenhouse gas (GHG) emissions. This study aimed to investigate travelers’ acceptance of car sharing systems through a stated preference survey in the city of Peshawar, Pakistan. The questionnaires were distributed online via a Google form. Questions were designed from numerous aspects of car sharing systems, such as awareness of car sharing systems, attributes related to travel modes in the choice set, and demographic characteristics. A total of 453 valid responses were received. The Multinomial and Nested Logit models were employed for evaluation and analysis of survey responses. Demographic characteristics including gender, job, and income were found to be significant. Service attributes including travel time, travel cost, registration fees, and capital cost, were also significant. The multinomial logit model based on both car-owners and non-car-owners fit a little better than the nested logit model. Our findings in the present study could be beneficial for transport planners and policy makers to timely implement car sharing systems in cities in order to mitigate increased car ownership and traffic congestion.

Suggested Citation

  • Irfan Ullah & Kai Liu & Tran Vanduy, 2019. "Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:808-:d:203395
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    References listed on IDEAS

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    Cited by:

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    2. Quan Dai & Hongfei Jia & Yao Liu, 2020. "Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
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    5. Qian Duan & Xin Ye & Jian Li & Ke Wang, 2020. "Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    6. Hu, Jia-Wei & Javaid, Aneeque & Creutzig, Felix, 2021. "Leverage points for accelerating adoption of shared electric cars: Perceived benefits and environmental impact of NEVs," Energy Policy, Elsevier, vol. 155(C).
    7. Ziyue Shan & Chenjing Zhou & Xiafei Song & Siyang Liu, 2022. "Influence Mechanism of Urban Staggered Shared Parking Policy on Behavioral Intentions of Users and Providers Based on Extended Planned Behavior Theory," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    8. Shengyang Qin & Xinxing Duan & Ahmad Fatehallah Al-hourani & Naif Alsaadi, 2022. "Evaluation of Total Quality Management in Turkish Pharmaceutical Companies: A Case Study," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    9. Muhammad Safdar & Arshad Jamal & Hassan M. Al-Ahmadi & Muhammad Tauhidur Rahman & Meshal Almoshaogeh, 2022. "Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    10. Nadeem Ul Haque & Faheem Jehangir Khan (ed.), 2022. "RASTA Local Research, Local Solutions: Urban Development, Volume II," PIDE Books, Pakistan Institute of Development Economics, number 2022:10.
    11. Irfan Ullah & Muhammad Safdar & Jianfeng Zheng & Alessandro Severino & Arshad Jamal, 2023. "Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles," Energies, MDPI, vol. 16(5), pages 1-24, February.
    12. Biyi Zhou & Hao Hu & Lei Dai, 2020. "Assessment of the Development of Time-Sharing Electric Vehicles in Shanghai and Subsidy Implications: A System Dynamics Approach," Sustainability, MDPI, vol. 12(1), pages 1-18, January.

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