Zhiwei YANG, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, China
Xiaohong CHEN, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, China
Quan YUAN, Urban Transportation Research Institute of Tongji University,, China
Background: In the era of economic globalization and e-commerce boom, the demand for urban logistics has been rapidly growing in terms of both scale and intensity. The spatial clustering of negative environment externalities caused by logistics facilities has become increasingly significant. Method: Considering the driving factors of logistics facility location choice from the perspective of environment impacts, this study intends to analyze the spatial evolution of logistics facilities and establishes a series of regression models to explore the mechanism behind such changes using a high-resolution grid-based data set. Expected Analysis and Results: (1) major clusters and hot-cold areas of newly-developed logistics facilities in 2005, 2010 and 2015 were identified. (2) driving factors of the spatial evolution of logistics facilities from dimensions of supply and demand were examined using ZINB models. (3) main driving forces of logistics facility location choice were discussed, and strategies regarding regional environmental governance were proposed. Practice Implications: This study aims to provide a sustainable development-oriented policy path for regional development by proposing an analytical framework that reconsider spatial location selection factors as a means of controlling logistics environment negative externalities.
Mots clés : logistics facilities|environment negative externality|spatial restructuring|Shanghai|Zero-inflated negative binomial model
A103360ZY