Open AccessThe emergence of logistics cities: Conceptual model
Author(s) -
Carsten Sengpiehl,
Roger Oakden,
Pieter Nagel,
K. T.K. Toh,
Peng Shi
Publication year - 2008
Publication title -
journal of transport and supply chain management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 2
eISSN - 2310-8789
pISSN - 1995-5235
DOI - 10.4102/jtscm.v2i1.47
Subject(s) - business , metropolitan area , government (linguistics) , conceptual framework , conceptual model , situated , humanitarian logistics , sustainability , marketing , regional science , industrial organization , computer science , sociology , medicine , ecology , social science , philosophy , linguistics , pathology , database , artificial intelligence , biology
This paper describes the emergence of logistics cities, which are geographical concentrations of related industries situated around one or more international trade gateways adjacent to a metropolitan area. Broadly, a logistics city comprises logistics activities and related assets combined with an integrated mix of manufacturing and assembly companies, business services, retail outlets, research and education centres, and associated government services and administration sections. This concept is currently being promoted and developed globally by several regions, and examples of these logistics cities are described in this paper. Drawing from these examples and the limited available literature, a preliminary conceptual map of the logistics cities concept has been developed which incorporates a theoretical foundation of economic development and the principles of competitiveness in the notion of trade clusters. This map has provided the basis for our further investigations and the continued development of a more detailed conceptual model that will provide a systematic knowledge base for those engaged in the development of further logistics cities. The beneficiaries of this model will be public authorities, property developers and industrial concerns, and will be used when making decisions for future logistics infrastructure, services, supporting services and related social elements.