IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7587-d942360.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7587/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/20/7587/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ecer, Fatih & Küçükönder, Hande & Kayapınar Kaya, Sema & Faruk Görçün, Ömer, 2023. "Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Virgilio Alfonso Murillo Rodríguez & Noé Villa Villaseñor & José Manuel Robles Solís & Omar Alejandro Guirette Barbosa, 2023. "Impact of Automation on Enhancing Energy Quality in Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 16(17), pages 1-25, August.
    2. Pons-Prats, Jordi & Živojinović, Tanja & Kuljanin, Jovana, 2022. "On the understanding of the current status of urban air mobility development and its future prospects: Commuting in a flying vehicle as a new paradigm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    3. Cohen, Adam & Shaheen, Susan, 2021. "Urban Air Mobility: Opportunities and Obstacles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0r23p1gm, Institute of Transportation Studies, UC Berkeley.
    4. Felix Schwinger & Baran Tanriverdi & Matthias Jarke, 2022. "Comparing Micromobility with Public Transportation Trips in a Data-Driven Spatio-Temporal Analysis," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    5. Gao, Zhiyuan & Zhang, Yahui & Li, Lianqing & Hao, Yu, 2024. "Will resource tax reform raise green total factor productivity levels in cities? Evidence from 114 resource-based cities in China," Resources Policy, Elsevier, vol. 88(C).
    6. Lin, Boqiang & Wang, Siquan, 2023. "The performance of specialized and oriented diversified firms: A comparative analysis from the targeted expansion of renewable energy business of listed companies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    7. Wang, P.P. & Huang, G.H. & Li, Y.P. & Liu, Y.Y. & Li, Y.F., 2024. "An ecological input-output CGE model for unveiling CO2 emission metabolism under China's dual carbon goals," Applied Energy, Elsevier, vol. 365(C).
    8. Kaifeng Li & Yun Chen & Jingren Chen, 2023. "How to Improve Industrial Green Total Factor Productivity under Dual Carbon Goals? Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-13, June.
    9. Monika Hamerska & Monika Ziółko & Patryk Stawiarski, 2022. "A Sustainable Transport System—The MMQUAL Model of Shared Micromobility Service Quality Assessment," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    10. Kalina Grzesiuk & Dorota Jegorow & Monika Wawer & Anna Głowacz, 2023. "Energy-Efficient City Transportation Solutions in the Context of Energy-Conserving and Mobility Behaviours of Generation Z," Energies, MDPI, vol. 16(15), pages 1-28, August.
    11. Abouelela, Mohamed & Durán-Rodas, David & Antoniou, Constantinos, 2024. "Do we all need shared E-scooters? An accessibility-centered spatial equity evaluation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    12. LE BOENNEC, Rémy & SALLADARRE, Frédéric, 2023. "Investigating the use of privately-owned micromobility modes for commuting in four European countries," MPRA Paper 119202, University Library of Munich, Germany.
    13. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    14. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
    15. Hae Choi, Jong & Park, Yonghwa, 2022. "Exploring economic feasibility for airport shuttle service of urban air mobility (UAM)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 267-281.
    16. Kimpton, Anthony & Loginova, Julia & Pojani, Dorina & Bean, Richard & Sigler, Thomas & Corcoran, Jonathan, 2022. "Weather to scoot? How weather shapes shared e-scooter ridership patterns," Journal of Transport Geography, Elsevier, vol. 104(C).
    17. Shah, Nitesh R. & Guo, Jing & Han, Lee D. & Cherry, Christopher R., 2023. "Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    18. Qingguo Tang & R. J. Karunamuni, 2018. "Robust variable selection for finite mixture regression models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(3), pages 489-521, June.
    19. Yixue Zhang & Steven Farber & Mischa Young, 2022. "Eliminating barriers to nighttime activity participation: the case of on-demand transit in Belleville, Canada," Transportation, Springer, vol. 49(5), pages 1385-1408, October.
    20. Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7587-:d:942360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.