Logistics global network connectivity and its determinants. A European City network analysis |
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| Affiliation: | 1. Department of Transport and Regional Economics, University of Antwerp, Prinsstraat 13, 2000 Antwerpen, Belgium;2. Open Lab, Newcastle University, 89 Sandyford Rd, Newcastle upon Tyne NE1 8HW, UK;3. Departement SENSE, Orange Labs, 44 Avenue de la République, 92320 Châtillon, France;1. 4914 Southcenter Blvd, Tukwila, WA 98188, USA;2. Civil & Environment Engineering Department, University of Washington, More Hall, Seattle, WA 98195-2700, USA;3. Civil & Environment Engineering Department, University of Washington, Wilson Ceramics Lab 101, Seattle, WA 98195-2700, USA;4. Civil & Environment Engineering Department, University of Washington, Wilson Ceramics Lab 111, Seattle, WA 98195-2700, USA;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. IFSTTAR University of Paris-East, France;2. University of Gothenburg, Sweden;1. Research Center for China Administrative, Division & Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China;2. Institute of Eco-Chongming, Shanghai 202162, China;3. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China |
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| Abstract: | The Globalization and World City Research Network classifies global cities according to their connectivity through advanced producer service activities. Recent studies have suggested there is scope to develop a new classification of cities based on advanced logistics services. Within this framework, the aim of this paper is twofold: (i) to develop an interlocking Logistics Global Network for advanced logistics in Europe and measure the Logistics Global Network Connectivity (LGNC) of the host cities; (ii) to explore the variables explaining each the cities' score on the LGNC. The aim is achieved by means of a mixed methodological approach based on Taylor's Interlocking Network Model and via econometric analysis through Ordinary Least Square regression (OLS). |
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