Modeling and Optimizing Location Selection of Urban-rural Logistics Center Based on SCP-PCA under E-commerce Environment

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
There is a largest income gap between China's urban and rural areas in the world. With the rapid development of China's e-commerce, scientific and reasonable logistics center location planning can help to narrow the gap and promote the integration of urban and rural development. This paper firstly analyzes the current study of logistics center location combined with domestic and overseas literature. Then according to Set Covering Problem-model (SCP) to get the initial location of logistics
more » ... n of logistics center, and make further evaluation and optimization based on Principal Component Analysis-model (PCA). Finally, in view of Guangdong Province is the largest one of urban-rural economic disparity in China, the paper takes Guangdong Province as an example to carry out an empirical study of logistics center location selection. The results have been proved to be robust and reliable, which can provide advice and support for making scientific policy of logistics development between urban and rural areas to government at different levels.
doi:10.21311/001.39.4.18 fatcat:6a4mszkptbcfrifgsqtftadrva