Online review driven route planning of green cold chain logistics: considering service attribute preference
作者机构：School of Transportation and Logistics Southwest Jiaotong University New Corridor Logistics Group Co. Ltd.of Sichuan Port and Shipping Investment National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University
出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报(英文版))
年 卷 期：2024年
核心收录：
学科分类：12[管理学] 02[经济学] 0202[经济学-应用经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020205[经济学-产业经济学] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程]
基 金：supported by the National Natural Science Foundation of China (Project No. 52072314 52172321 52102391) Sichuan Science and Technology Program (Project No. 2022YFH0016 2022YFQ0101) China Shenhua Energy Co., Ltd., Science and Technology Program (Project No. CJNY-20-02) China Railway Chengdu Bureau Group Co., Ltd., Science and Technology Program (CX2202) Key R&D Program of Guangzhou (202206030007) Key science and technology projects in the transportation industry of the Ministry of Transport (2022-ZD7-132) the fundamental research funds for the central universities (2682022ZTPY068 2682023ZTZ002) China State Railway Group Co., Ltd. Science and Technology Program (P2022X013 K2023X030)
摘 要：For the long-distance cold chain transportation， this study focuses on green route planning in the cold chain multimodal transport network， considering the customers’ preferences on transport service attributes. To extract customers preferences from online reviews， we build the bidirectional gated recurrent units (biGRU) and Logit framework. The coefficients representing the preferences for transport service attributes are calculated and integrated into the route planning model. To enhance the reliability of the routes， we utilize fuzzy set theories to describe travel time， transport cost coefficient， and capacity as trapezoidal fuzzy numbers. Then， we develop a fuzzy route planning model aims to minimize transportation cost， damage cost， refrigeration cost， carbon emission cost， and reliability cost. The numerical experiments are conducted on the new land and sea corridor in southwest China. The proposed method can plan the route which meet the customers’ preferences on transportation cost， travel time， reliability and carbon emission. Moreover， logistics companies can strike a balance between cost and reliability by setting confidence coefficients for travel time and capacity. Furthermore， carbon trading policy implements the significant effect on carbon emission reduction in cold chain logistics， when the trading price is 2 RMB per unit.
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