铁道运输与经济2025，Vol.47Issue(4)：29-38,10.DOI:10.16668/j.cnki.issn.1003-1421.2025.04.04
考虑区域协同发展的京津冀地区智慧物流评价及障碍因子分析
Evaluation of Smart Logistics in Beijing-Tianjin-Hebei Region Considering Regional Synergistic Development and Analysis of Obstacle Factors
摘要
Abstract
To adapt to the accelerated development of the logistics industry in the Beijing-Tianjin-Hebei region and address the resource allocation imbalance issue,this study constructed a smart logistics evaluation index system.By considering the synergy of infrastructure connectivity,factor mobility,and policy alignment,the study employed the cloud probabilistic dominance relation-cosine similarity model(CPDR-C)to measure the smart logistics development levels in this region,complemented by an obstacle degree model for diagnosing key constraints.The results reveal that Beijing maintains superior comprehensive smart logistics development levels and growth velocity compared to Tianjin and Hebei,respectively.Structural synergy analysis demonstrates initially weak coordination between smart logistics development frameworks in Beijing and Hebei,which is gradually improved over time.From 2020 to 2022,the smart logistics development level in Beijing exhibits polarization effects compared to Tianjin and Hebei.The obstacles affecting smart logistics development in Beijing and Tianjin are concentrated on output efficiency,while those affecting smart logistics development in Hebei are concentrated on the training of smart logistics personnel,as well as technological innovation and application.Based on these findings,suggestions are proposed for improving the smart logistics development level in the Beijing-Tianjin-Hebei region,including deepening smart logistics development,achieving industrial relocation and coordination,and optimizing collaborative development.关键词
智慧物流/综合评价/障碍因子/协同发展/京津冀地区Key words
Smart Logistics/Comprehensive Evaluation/Obstacle Factor/Collaborative Development/Beijing-Tianjin-Hebei Region分类
交通运输引用本文复制引用
唐正源,张冀民,李亭慰..考虑区域协同发展的京津冀地区智慧物流评价及障碍因子分析[J].铁道运输与经济,2025,47(4):29-38,10.基金项目
甘肃省科技厅软科学项目(1504ZKCA017-2) （1504ZKCA017-2）
