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Utilizing urban form characteristics in urban logistics analysis: a case study in Lisbon,Portugal
Institution:1. Department of Urban Planning and Spatial Analysis, Sol Price School of Public Policy, University of Southern California, Los Angeles, California 90089, USA;2. Department of Urban Planning, School of Architecture & Urban Planning, Huazhong University of Science and Technology; Hubei Engineering and Technology Research Center of Urbanization, Wuhan, Hubei 430074, China;1. Federal University of Minas Gerais, Ave Antônio Carlos, 6627, Belo Horizonte 31270-901, Brazil;2. Federal Center for Technological Education of Minas Gerais, Av. Amazonas, 5253, Belo Horizonte 30421-169, Brazil;3. Federal University of São Carlos, Rodovia João Leme dos Santos (SP-264), Km 110, Sorocaba 18052-780, Brazil;1. Department of Infrastructure Engineering, University of Melbourne, Room C305, Building 174, Parkville, Victoria 3010, Australia;2. Department of Infrastructure Engineering, University of Melbourne, Room C306, Building 174, Parkville, Victoria 3010, Australia
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.
Keywords:Urban freight  City logistics  Logistics Profiles  Urban form  Land-use  Planning and policy
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