滨州学院, 机场学院, 山东滨州 256600
| 摘 要: | 西南地区包括重庆市、四川省、贵州省、云南省、西藏自治区共五个省市区。交通设施是物流经济发展的物质基础,近年来,交通运输部加强交通基础设施建设,旨在加快建设交通强国取得阶段性成果。而西南地区由于经济发展不均衡,物流经济与地区交通设施配置发展并不协调,因此,物流经济与交通设施配置的耦合协调发展研究变得越来越重要。本文采取不同层次物流指标,利用主成分分析法建立物流经济综合发展水平评价体系,采用加权平均旅行时间指标分析西南地区的综合运输可达性,进而评价交通设施配置水平。将整体系统分成物流经济子系统和交通设施子系统,根据系统序参量指标分别测定子系统的有序度,然后测算整个系统的耦合度。依据测度结果对西南地区2013年-2022年交通设施配置水平与物流经济发展水平的耦合效应进行分析,并提出西南地区物流经济与交通设施配置耦合发展的对策建议。 |
| 关 键 词: | 主成分分析; 物流经济; 交通设施; 耦合效应 |
| DOI: | 10.57237/j.wjmst.2023.02.002 |
Airport College, Binzhou University, Binzhou 256600, China
| Abstract: | Southwest China includes Chongqing City, Sichuan Province, Guizhou Province and Tibet Autonomous Region. Transport facilities are the material basis for the development of logistics economy. In recent years, the Ministry of Transport has strengthened the construction of transport infrastructure in order to speed up the construction of a powerful transport country. However, due to unbalanced economic development in Southwest China, logistics economy is not in harmony with regional transportation facilities allocation and development. Therefore, research on the coupling and coordinated development of logistics economy and transportation facilities allocation becomes more and more important. This paper adopts different levels of logistics indexes, establishes an evaluation system of comprehensive development level of logistics economy by using principal component analysis method, analyzes the comprehensive transportation accessibility of southwest China by using weighted average travel time index, and then evaluates the level of transportation facilities allocation. The whole system is divided into logistics economic subsystem and traffic facility subsystem, and the order degree of the subsystem is measured by a model based on the order parameter index, and the coupling degree of the whole system is calculated. Based on the measurement results, the paper analyzes the coupling effect between the distribution level of transportation facilities and development level of logistics economy during 2013-2022, and puts forward the countermeasures and suggestions for the coupling development of logistics economy and transportation facilities in Southwest China. |
| Keywords: | Principal Component Analysis; Logistics Economy; Transportation Facilities; Coupling |
| [1] | 卢志滨. 区域物流—经济—环境系统耦合发展研究 [D]. 哈尔滨工业大学, 2016. |
| [2] | 吴彪, 李雪菲, 李耘, 等. 欠发达地区物流与经济发展的协整模型及实证研究 [J]. 物流技术, 2019, 38 (08): 37-41. |
| [3] | 连兆大, 程德通. 基于DEA模型的“一带一路”重点省份物流效率分析 [J]. 商业经济研究, 2017, 719 (04): 80-82. |
| [4] | 李明星, 赵金宝, 徐月娟, 等. 交通运输与经济发展水平的耦合协调度分析 [J]. 山东理工大学学报(自然科学版), 2023, 37 (01): 34-40. |
| [5] | 郝京京. 空间公平视角下的欠发达地区物流经济与交通设施配置的耦合效应研究 [D]. 昆明理工大学, 2016. |
| [6] | 葛修润, 汤华, 李昆耀, 等. 交通运输与物流业、旅游业发展耦合协调度分析——以武汉市为例 [J]. 交通信息与安全, 2021, 39 (01): 1-6. |
| [7] | 翁世洲, 莫小青, 李柏敏. 广西物流产业与综合交通耦合协调水平测度 [J]. 物流工程与管理, 2021, 43 (10): 101-104+115. |
| [8] | 李宝库, 陆翔. 低碳约束下物流效率与交通优势度耦合协调研究——以“一带一路”国内26个节点城市为例 [J]. 科技促进发展, 2021, 17 (03): 428-436. |
| [9] | 卢北, 曾俊伟, 钱勇生, 等. 西北五省(区)交通-环境-经济耦合协调发展时空格局 [J]. 交通科技与经济, 2023, 25 (01): 73-80. |
| [10] | 王文海, 钱勇生, 曾俊伟, 等. “产业—交通”耦合背景下兰西城市群空间发育研究 [J]. 现代城市研究, 2022, (10): 81-87. |
| [11] | 郑慧玲. 资源型城市旅游经济与交通耦合协调发展研究——以临汾市为例 [J]. 山西师范大学学报 (自然科学版), 2022, 36 (03): 109-115. |
| [12] | 陈薇. 环长株潭经济与铁路交通耦合协调分析 [D]. 北京交通大学, 2021. |
| [13] | Gabbassov E. Transit facility allocation: Hybrid quantum-classical optimization [J]. PLoS One, 2022, 17 (9): e0274632. |
| [14] | Jangra R, Kaushik S P, Singh E, et al. The role of transportation in developing the tourism sector at high altitude destination, Kinnaur [J]. Environment, Development and Sustainability, 2023. |
| [15] | Hörcher D, Tirachini A. A review of public transport economics [J]. Economics of Transportation, 2021, 25. |
| [16] | Droj G, Droj L, Badea A-C. GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning [J]. ISPRS International Journal of Geo-Information, 2021, 11 (1). |
| [17] | Ziadah R. Transport Infrastructure and Logistics in the Making of Dubai Inc [J]. International Journal of Urban and Regional Research, 2018, 42 (2): 182-197. |