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Predicting the effects of city logistics schemes

Author

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  • Eiichi Taniguchi
  • Russell G. Thompson
  • Tadashi Yamada

Abstract

City logistics aims globally to optimize logistics systems within an urban area by considering the costs and benefits of schemes to the public and private sectors alike. Private shippers and freight operators aim to reduce their freight costs, while the community attempts to alleviate traffic congestion and environmental problems. City logistics initiatives attempt to minimize the total costs of freight movement within urban areas. Schemes for reducing the environmental and social costs as well as the economic costs are sought. This paper describes the development and application of mathematical computer-based models that have been used in the planning and evaluation of city logistics schemes. A detailed description of several modelling approaches that have been developed to predict the effects of specific city logistics schemes is presented. Integrated modelling approaches that combine both optimization and simulation, such as dynamic flow simulation and multi-agent systems, allow the effects of city logistics schemes to be predicted.

Suggested Citation

  • Eiichi Taniguchi & Russell G. Thompson & Tadashi Yamada, 2003. "Predicting the effects of city logistics schemes," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 489-515, July.
    • Handle: RePEc:taf:transr:v:23:y:2003:i:4:p:489-515
    DOI: 10.1080/01441640210163999
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    Citations

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    Cited by:

    1. Park, Hyeongjun & Park, Dongjoo & Jeong, In-Jae, 2016. "An effects analysis of logistics collaboration in last-mile networks for CEP delivery services," Transport Policy, Elsevier, vol. 50(C), pages 115-125.
    2. Priscila Pereira Suzart Carvalho & Ricardo Araújo Kalid & Jorge Laureano Moya Rodríguez & Sandro Breval Santiago, 2019. "Interactions among stakeholders in the processes of city logistics: a systematic review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 567-607, August.
    3. Naoki Ando & Eiichi Taniguchi, 2006. "Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows," Networks and Spatial Economics, Springer, vol. 6(3), pages 293-311, September.
    4. Taufiq Suryo Nugroho & Chandra Balijepalli & Anthony Whiteing, 2021. "Independent Retailer Restocking Choices in Urban Goods Movement and Interaction Effects with Traditional Markets," Networks and Spatial Economics, Springer, vol. 21(4), pages 933-969, December.
    5. Portugal, Licinio da Silva & Morgado, Andréa Vaz & Júnior, Orlando Lima, 2011. "Location of cargo terminals in metropolitan areas of developing countries: the Brazilian case," Journal of Transport Geography, Elsevier, vol. 19(4), pages 900-910.
    6. Wanjie Hu & Jianjun Dong & Bon-gang Hwang & Rui Ren & Zhilong Chen, 2019. "A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice," Sustainability, MDPI, vol. 11(10), pages 1-27, May.
    7. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2020. "Environmental Sustainability in City Logistics Measures," Energies, MDPI, vol. 13(6), pages 1-29, March.
    8. Marta Viu-Roig & Eduard J. Alvarez-Palau, 2020. "The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    9. Sergio Maria Patella & Gianluca Grazieschi & Valerio Gatta & Edoardo Marcucci & Stefano Carrese, 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-29, December.
    10. de Carvalho, Nayara Louise Alves & Ribeiro, Priscilla Cristina Cabral & García-Martos, Carolina & Fernández, Camino González & Vieira, José Geraldo Vidal, 2019. "Urban distribution centres in historical cities from the perspective of residents, retailers and carriers," Research in Transportation Economics, Elsevier, vol. 77(C).

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