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Utilizing urban form characteristics in urban logistics analysis: a case study in Lisbon, Portugal

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  • Alho, André Romano
  • de Abreu e Silva, João

Abstract

Within the realm of urban logistics, Macário (2013) developed a hypothesis, denominated the Logistics Profile (LP) concept that suggests homogeneous groups of urban zones with respect to three dimensions, which could be used to analyze freight movement policy: (1) the social and built environment; (2) characteristics of the goods/products being moved; (3) characteristics of the deliveries at the receiver establishment. The concept was expected to ease the transferability of best practices in city logistics, by analyzing similarities and differences between zones. This research uses a quantitative methodology to apply the LP concept, and assess its potential, using the city of Lisbon as a case study. The analysis is focused on: (a) the extrapolation of freight trip generation per establishment and delivery characteristics from a sample of commercial establishments to the population within the case study, (b) proposing a methodology to test the LPs, (c) testing the existence of proposed LPs. Freight trips have been extrapolated using a Multiple Classification Analysis (MCA) model. Freight delivery characteristics were attributed to establishments from a sample-based probability distribution. LPs were tested using a two-step cluster analysis. Some LPs have been matched with clusters of case-study zones, subject to case study particularities. Profile overlap was not an issue and occurrences were expected. The testing showed that Logistic Profiles have the potential for being used as a departure point for urban freight planning and policy analysis.

Suggested Citation

  • Alho, André Romano & de Abreu e Silva, João, 2015. "Utilizing urban form characteristics in urban logistics analysis: a case study in Lisbon, Portugal," Journal of Transport Geography, Elsevier, vol. 42(C), pages 57-71.
  • Handle: RePEc:eee:jotrge:v:42:y:2015:i:c:p:57-71
    DOI: 10.1016/j.jtrangeo.2014.11.002
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    References listed on IDEAS

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    1. de Abreu e Silva, João & Morency, Catherine & Goulias, Konstadinos G., 2012. "Using structural equations modeling to unravel the influence of land use patterns on travel behavior of workers in Montreal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1252-1264.
    2. Christian Ambrosini & Danièle Patier & Jean-Louis Routhier, 2010. "Urban freight establishment and tour based surveys for policy oriented modelling," Post-Print halshs-00578045, HAL.
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    1. Muñuzuri, Jesús & Cuberos, Manuel & Abaurrea, Fátima & Escudero, Alejandro, 2017. "Improving the design of urban loading zone systems," Journal of Transport Geography, Elsevier, vol. 59(C), pages 1-13.
    2. Verlinden, Thomas & Voorde, Eddy Van de & Dewulf, Wouter, 2020. "Ho.Re.Ca. logistics and European medieval structured cities: A search for cost generators," Transport Policy, Elsevier, vol. 99(C), pages 419-429.
    3. Dalibor Bartoněk & Jiří Bureš & Otakar Švábenský, 2020. "Evaluation of Influence of the Environment on the Choice of Buildings for Residential Living," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    4. Regal, Andrés & Gonzalez-Feliu, Jesús & Rodriguez, Michelle, 2023. "A spatio-functional logistics profile clustering analysis method for metropolitan areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    5. Muñuzuri, Jesús & Muñoz-Díaz, María-Luisa, 2019. "Use of DEA to identify urban geographical zones with special difficulty for freight deliveries," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    6. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2020. "Environmental Sustainability in City Logistics Measures," Energies, MDPI, vol. 13(6), pages 1-29, March.
    7. Rui Colaço & João de Abreu e Silva, 2021. "Commercial Classification and Location Modelling: Integrating Different Perspectives on Commercial Location and Structure," Land, MDPI, vol. 10(6), pages 1-19, May.
    8. Mohammad Zaher Akkad & Tamás Bányai, 2020. "Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    9. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2021. "Stakeholders’ Analysis of Environmental Sustainability in Urban Logistics: A Case Study of Tricity, Poland," Energies, MDPI, vol. 14(5), pages 1-24, February.
    10. Meiling He & Lei Zeng & Xiaohui Wu & Jianqiang Luo, 2019. "The Spatial and Temporal Evolution of Logistics Enterprises in the Yangtze River Delta," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    11. Pani, Agnivesh & Sahu, Prasanta K. & Chandra, Aitichya & Sarkar, Ashoke K., 2019. "Assessing the extent of modifiable areal unit problem in modelling freight (trip) generation: Relationship between zone design and model estimation results," Journal of Transport Geography, Elsevier, vol. 80(C).
    12. Sanchez-Diaz, Ivan, 2020. "Assessing the magnitude of freight traffic generated by office deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 279-289.
    13. Klose, Leon & Beckmann, Anne & Ihlenburg, Stephanie & Preindl, Raphael & Straube, Frank, 2022. "Guidelines for transferring sustainable urban logistics concepts," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 753-797, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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