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E-Scooter Micro-Mobility Application for Postal Service: The Case of Turkey for Energy, Environment, and Economy Perspectives

Author

Listed:
  • Yunus Emre Ayözen

    (Strategy Development Department, Ministry of Transport and Infrastructure, 06338 Ankara, Turkey)

  • Hakan İnaç

    (Investment Management & Control Department, Strategy Development Department, Ministry of Transport and Infrastructure, 06338 Ankara, Turkey)

  • Abdulkadir Atalan

    (Faculty of Engineering, Gaziantep Islam Science and Technology University, 27260 Gaziantep, Turkey)

  • Cem Çağrı Dönmez

    (Department of Industrial Engineering, Marmara University, 34722 Istanbul, Turkey)

Abstract

In this research, the advantages of the e-scooter tool used in the mail or package delivery process were discussed by considering the Turkish Post Office (PTT) data in the districts of Istanbul (Kadıköy, Üsküdar, Kartal, and Maltepe) in Turkey. The optimization Poisson regression model was utilized to deliver the maximum number of packages or mails with minimum cost and the shortest time in terms of energy consumption, cost, and environmental contribution. Statistical and optimization results of dependent and independent variables were calculated using numerical and categorical features of 100 e-scooter drivers. The Poisson regression analysis determined that the e-scooter driver’s gender ( p |0.05 < 0.199) and age ( p |0.05 < 0.679) factors were not effective on the dependent variable. We analysed that the experience in the profession (tenure), the size of the area responsible, and environmental factors is effective in the e-scooter distribution activity. The number of packages delivered was 234 in a day, and the delivery cost per package was calculated as 0.51 TL (Turkish Lira) for the optimum values of the dependent variables. The findings show that the choice of e-scooter vehicle in the mail or package delivery process is beneficial in terms of time, cost, energy, and environmental contribution in districts with higher population density. As the most important result, the operation of e-scooter vehicles with electrical energy shows that it is environmentally friendly and has no CO 2 emission. The fact that the distribution of packages or mail should now turn to micro-mobility is emerging with the advantages of e-scooter vehicles in the mail and package delivery. Finally, this analysis aims to provide a model for integrating e-scooters in package or mail delivery to local authorities, especially in densely populated areas.

Suggested Citation

  • Yunus Emre Ayözen & Hakan İnaç & Abdulkadir Atalan & Cem Çağrı Dönmez, 2022. "E-Scooter Micro-Mobility Application for Postal Service: The Case of Turkey for Energy, Environment, and Economy Perspectives," Energies, MDPI, vol. 15(20), pages 1-22, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7587-:d:942360
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    References listed on IDEAS

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    1. Weinert, Jonathan X., 2007. "The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future," Institute of Transportation Studies, Working Paper Series qt9wn5r8tj, Institute of Transportation Studies, UC Davis.
    2. Haydar Koç & Emre Dünder & Serpil Gümüştekin & Tuba Koç & Mehmet Ali Cengiz, 2018. "Particle swarm optimization-based variable selection in Poisson regression analysis via information complexity-type criteria," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(21), pages 5298-5306, November.
    3. Yasemin Ayaz Atalan & Mete Tayanç & Kamil Erkan & Abdulkadir Atalan, 2020. "Development of Nonlinear Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment: A Case Study for Turkey," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    4. Alberica Domitilla Bozzi & Anne Aguilera, 2021. "Shared E-Scooters: A Review of Uses, Health and Environmental Impacts, and Policy Implications of a New Micro-Mobility Service," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    5. Cem Çağrı Dönmez & Abdulkadir Atalan, 2019. "Developing Statistical Optimization Models for Urban Competitiveness Index: Under the Boundaries of Econophysics Approach," Complexity, Hindawi, vol. 2019, pages 1-11, November.
    6. Shaheen, Susan & Cohen, Adam & Broader, Jacquelyn & Davis, Richard & Brown, Les & Neelakantan, Radha & Gopalakrishna, Deepak, 2020. "Mobility on Demand Planning and Implementation: Current Practices, Innovations, and Emerging Mobility Futures," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3hc6m2vj, Institute of Transportation Studies, UC Berkeley.
    7. Maximilian Heumann & Tobias Kraschewski & Tim Brauner & Lukas Tilch & Michael H. Breitner, 2021. "A Spatiotemporal Study and Location-Specific Trip Pattern Categorization of Shared E-Scooter Usage," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
    8. Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
    9. Zudi Lu & Yer Van Hui & Andy H. Lee, 2003. "Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications," Biometrics, The International Biometric Society, vol. 59(4), pages 1016-1026, December.
    10. Wen, Shiyan & Jia, Zhijie, 2022. "The energy, environment and economy impact of coal resource tax, renewable investment, and total factor productivity growth," Resources Policy, Elsevier, vol. 77(C).
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