基于绿通大数据的中国鲜活农产品运输流格局及其演变机制  

Pattern and Evolution Mechanism of Fresh Agricultural Products Transportation Flows in China Based on the Green Traffic Big Data

作　　者：宋京妮 侯文婷 李友良 颜飞[1] 陈丹[3] 杜凯[3] SONG Jingni;HOU Wenting;LI Youliang;YAN Fei;CHEN Dan;DU Kai(School of Transportation Engineering,Chang'an University,Xi'an 710064,Shanxi,China;Xingyun Shuju(Beijing)Technology Co.Ltd.,Beijing 100200,China;School of Electronics and Control Engineering,Chang'an University,Xi'an 710064,Shaanxi,China)

机构地区：[1]长安大学运输工程学院,陕西西安710064 [2]行云数聚(北京)科技有限公司,北京100200 [3]长安大学电子与控制工程学院,陕西西安710064

出　　处：《经济地理》2024年第10期126-135,共10页Economic Geography

基　　金：国家自然科学基金项目(71871027);陕西省社会科学基金项目(2020D028);中央高校基础研究基金项目(300102341104);陕西省自然科学基金项目(2022JM-426)。

摘　　要：文章利用2022年8月—2023年1月全国绿通车数据,分析了鲜活农产品的时空运输模式;同时,通过GIS技术和统计分析,揭示了运输量的区域差异、集聚现象及其成因,并探讨了运输距离与载重、货物类型与运输向心性的关系。研究发现:(1)8—10月的蔬菜及水果运输量较高,11月—次年1月减少,鲜肉蛋奶运输量保持稳定,鱼虾贝蟹在1月运输量略低。(2)蔬菜、水果、鲜肉蛋奶未呈现聚集模式,而鱼虾贝蟹则表现出显著的空间相关性。(3)运输重量与平均运输距离呈正相关关系,运输流的演变主要受季节更替、产销区域扩张及城市群集聚效应的共同作用。研究结论为优化农产品运输路径、提升运输效率与质量提供了科学依据,同时也为政府制定针对性政策以促进农产品流通、保障生产与消费平衡提供了重要参考。Based on the green traffic data from August 2022 to January 2023,this study analyzes the spatiotemporal transportation patterns of fresh agricultural products.Through GIS technology and statistical analysis,it reveals regional differences in transportation volumes,patterns of aggregation,and their causes.Additionally,it discusses the relationships between transportation distance and load,as well as cargo types and transportation centrality.It's found that:1)The transportation volume of vegetables and fruits was higher from August to October in 2022,and decreased from November 2022 to January 2023.Meanwhile,the transportation volume of fresh meat,eggs,and dairy remains stable.The transportation volume of fish,shellfish,and crustaceans is slightly lower in January 2023.2)The transportation of vegetables,fruits,and fresh meat,eggs,and dairy do not show an aggregation pattern.However,the transportation of fish,shellfish,and crustaceans exhibit significant spatial correlation.3)There is a positive correlation between transportation weight and average transportation distance.The evolution of transportation flows is mainly influenced by seasonal changes,the expansion of production and marketing areas,and the agglomeration effects of urban agglomerations.This study provides a scientific basis for optimizing the transportation paths of agricultural products and improving transportation efficiency and quality.It also provides an important reference for the government to formulate targeted policies to promote the circulation of agricultural products and ensure the balance of production and consumption.

关 键 词：绿通数据 鲜活农产品 运输流 蔬菜与水果 肉蛋奶 供应链 生产与消费 

分 类 号：F329.9[经济管理—产业经济]