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New Express Delivery Service and Its Impact on CO 2 Emissions

Author

Listed:
  • Dragan Lazarević

    (Faculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Libor Švadlenka

    (Jan Perner Transport Faculty, University of Pardubice, 532 10 Pardubice, Czech Republic)

  • Valentina Radojičić

    (Faculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Momčilo Dobrodolac

    (Faculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

A rapid development of Internet technologies creates new opportunities for e-commerce, which is one of the fastest-growing segments of the entire economy. For policymakers, the most important aspects of e-commerce are related to the cost reduction in transportation, facilitation of administration and communication, innovations at the market level, and environmental issues. An unavoidable part of the e-commerce production process is related to the postal service. New market expectations of modern society lead to the consideration of upgrading the traditional express delivery service in terms of time availability. In this paper, we propose a new 24-h availability of postal and courier service so-called “post express nonstop”. To assess the potential demand for this kind of service, we propose a forecasting procedure based on the Bass diffusion model. In particular, the research is directed toward the examination of environmental issues, considering both types of services—traditional and the proposed new one. A comparison is done by analyzing CO 2 emissions in the last-mile delivery of goods to the users’ addresses. The experiment was carried out in the city of Belgrade, simulating the last-mile delivery under realistic conditions and controlling the fuel consumption and CO 2 emissions. In accordance with the results of this experiment and the forecasted number of postal items, a projection of CO 2 emissions for the new service from 2020 to 2025 was carried out. The results show a significant contribution of the proposed new express delivery service to environmental well-being and sustainability.

Suggested Citation

  • Dragan Lazarević & Libor Švadlenka & Valentina Radojičić & Momčilo Dobrodolac, 2020. "New Express Delivery Service and Its Impact on CO 2 Emissions," Sustainability, MDPI, vol. 12(2), pages 1-29, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:456-:d:306015
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    References listed on IDEAS

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    1. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    2. Vahideh Sadat Abedi & Oded Berman & Dmitry Krass, 2014. "Supporting New Product or Service Introductions: Location, Marketing, and Word of Mouth," Operations Research, INFORMS, vol. 62(5), pages 994-1013, October.
    3. Saboohi, Y. & Farzaneh, H., 2009. "Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption," Applied Energy, Elsevier, vol. 86(10), pages 1925-1932, October.
    4. Carraretto, C. & Macor, A. & Mirandola, A. & Stoppato, A. & Tonon, S., 2004. "Biodiesel as alternative fuel: Experimental analysis and energetic evaluations," Energy, Elsevier, vol. 29(12), pages 2195-2211.
    5. Peter J. Lenk & Ambar G. Rao, 1990. "New Models from Old: Forecasting Product Adoption by Hierarchical Bayes Procedures," Marketing Science, INFORMS, vol. 9(1), pages 42-53.
    6. Tianduo Peng & Sheng Zhou & Zhiyi Yuan & Xunmin Ou, 2017. "Life Cycle Greenhouse Gas Analysis of Multiple Vehicle Fuel Pathways in China," Sustainability, MDPI, vol. 9(12), pages 1-24, November.
    7. Jain, Dipak C & Rao, Ram C, 1990. "Effect of Price on the Demand for Durables: Modeling, Estimation, and Findings," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 163-170, April.
    8. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    9. Sivak, Michael & Schoettle, Brandon, 2012. "Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy," Transport Policy, Elsevier, vol. 22(C), pages 96-99.
    10. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    11. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    12. Bone, Paula Fitzgerald, 1995. "Word-of-mouth effects on short-term and long-term product judgments," Journal of Business Research, Elsevier, vol. 32(3), pages 213-223, March.
    13. Santos, Georgina, 2017. "Road transport and CO2 emissions: What are the challenges?," Transport Policy, Elsevier, vol. 59(C), pages 71-74.
    14. Pedro A. P. Dias & Hugo Yoshizaki & Patricia Favero & Jose Geraldo Vidal Vieira, 2019. "Daytime or Overnight Deliveries? Perceptions of Drivers and Retailers in São Paulo City," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    15. Hubert Gatignon & Jehoshua Eliashberg & Thomas S. Robertson, 1989. "Modeling Multinational Diffusion Patterns: An Efficient Methodology," Marketing Science, INFORMS, vol. 8(3), pages 231-247.
    16. Christophe Van den Bulte & Stefan Stremersch, 2004. "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test," Marketing Science, INFORMS, vol. 23(4), pages 530-544, July.
    17. Liddell, Christine & Morris, Chris, 2010. "Fuel poverty and human health: A review of recent evidence," Energy Policy, Elsevier, vol. 38(6), pages 2987-2997, June.
    18. Tzeng, Gwo-Hshiung & Lin, Cheng-Wei & Opricovic, Serafim, 2005. "Multi-criteria analysis of alternative-fuel buses for public transportation," Energy Policy, Elsevier, vol. 33(11), pages 1373-1383, July.
    19. Murugesan, A. & Umarani, C. & Subramanian, R. & Nedunchezhian, N., 2009. "Bio-diesel as an alternative fuel for diesel engines--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 653-662, April.
    20. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    21. Dan Horsky & Leonard S. Simon, 1983. "Advertising and the Diffusion of New Products," Marketing Science, INFORMS, vol. 2(1), pages 1-17.
    22. Bozbas, Kahraman, 2008. "Biodiesel as an alternative motor fuel: Production and policies in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 542-552, February.
    23. Bruce Robinson & Chet Lakhani, 1975. "Dynamic Price Models for New-Product Planning," Management Science, INFORMS, vol. 21(10), pages 1113-1122, June.
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    Cited by:

    1. Vasco Silva & António Amaral & Tânia Fontes, 2023. "Sustainable Urban Last-Mile Logistics: A Systematic Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    2. Bošković, Sara & Švadlenka, Libor & Jovčić, Stefan & Simic, Vladimir & Dobrodolac, Momčilo & Elomiya, Akram, 2024. "Sustainable propulsion technology selection in penultimate mile delivery using the FullEX-AROMAN method," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    3. Sören Lauenstein & Christoph Schank, 2022. "Design of a Sustainable Last Mile in Urban Logistics—A Systematic Literature Review," Sustainability, MDPI, vol. 14(9), pages 1-14, May.

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