ABSTRACT

The cold chain logistics is a special distribution process with respect to agricultural products that are sensitive to temperature. In this approach, remote sensing data and spatial analysis are the main components of china’s cold chain logistics capabilities, particularly on agricultural products. Therefore, The Cold Chain Logistics analysis on agricultural products in various provinces is evaluated using a Spatial Exploratory Data Analysis and Geo-detector approach. Hence, The characteristically Remote Sensing Spatio-Temporal Logistical Regression (RS-STLR) model has been developed to characterize both the cold chain's logistic resource and provincial differences. This paper provides a perspective on the growth and variations in Chinese logistics services for cold chain logistics. The research has been conducted at a lab-scale which established an alternate interpretation between different regional variations in logistic capital of the ecological features of the cold chain logistics. The aim of this analysis is to validate the condition of the cold chain market based on the quantitative system of risk assessment on agricultural produces.