江苏省高速公路的客流空间格局与网络组团结构——基于联网收费大数据分析

doi:10.13249/j.cnki.sgs.2021.06.009

地理科学 ›› 2021, Vol. 41 ›› Issue (6): 998-1008.doi: 10.13249/j.cnki.sgs.2021.06.009

江苏省高速公路的客流空间格局与网络组团结构——基于联网收费大数据分析

黄震方¹(), 陈娱¹^,^*(), 黄睿¹^,², 陆玉麒¹

1.南京师范大学地理科学学院/江苏省地理信息资源开发与利用协同创新中心，江苏南京 210023
2.南京工业职业技术大学经济管理学院，江苏南京 210023

收稿日期:2020-04-28 修回日期:2020-08-20 出版日期:2021-06-10 发布日期:2021-08-13
通讯作者: 陈娱 E-mail:zhfh@263.net;chenyu@lreis.ac.cn
作者简介:黄震方（1963-），男，江苏扬中人，博士，教授，博导，主要从事旅游地理与旅游规划研究。E-mail： zhfh@263.net
基金资助:
国家自然科学基金项目(42071175);国家自然科学基金项目(41701122);江苏高校优势学科建设工程资助项目(164320H116)

Spatial Distribution and Network Community Structure of Expressway Car Flow in Jiangsu Province Based on Big Data Analysis of Toll Collection

Huang Zhenfang¹(), Chen Yu¹^,^*(), Huang Rui¹^,², Lu Yuqi¹

1. School of Geographical Science, Nanjing Normal University/Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, Jiangsu, China
2. School of Economics and Management, Nanjing Vocational University of Industry Technology, Nanjing 210023, Jiangsu, China

Received:2020-04-28 Revised:2020-08-20 Online:2021-06-10 Published:2021-08-13
Contact: Chen Yu E-mail:zhfh@263.net;chenyu@lreis.ac.cn
Supported by:
National Natural Science Foundation of China(42071175);National Natural Science Foundation of China(41701122);Priority Academic Program Development of Jiangsu Higher Education Institutions(164320H116)

摘要/Abstract

摘要：

依据江苏省2011年、2014年和2017年高速公路联网收费大数据，选择客车通行数据，通过构建O-D流网络和县域联系网络，揭示了客流空间格局和网络组团结构特征。研究发现，客流的空间分布呈现以市辖区收费站、省界收费站及跨江大桥收费站为高值区域的特征，整体上苏南和苏北差异显著；O-D流网络具有明显的无标度特征，组团结构表现为沿高速公路线路分布的特征；县域联系网络节点的位序-规模呈现首位分布态势，网络可以划分为8个组团，区域中心城市为核心的组团结构特征明显。基于联网收费大数据从流动性视角挖掘公路交通的客流特征与空间结构，可为动态化、精细化和定量化分析交通网络提供新的研究视角和方法工具，为有效揭示公路客流的时空规律、优化公路交通与相关设施空间布局提供科学依据。

关键词: 高速公路, 交通客流, O-D流网络, 组团结构, 江苏省

Abstract:

As an important part of modern transportation system, the huge traffic flow of expressway truly reflects the regional connection and has a profound impact on the social economy, people’s life and spatial structure. The massive expressway toll data collection is a significant support to analyse and reveal the traffic flow characteristics and the spatial structure evolution. According to the Jiangsu expressway toll collection data in 2011, 2014 and 2017, this paper selects car traffic to construct the O-D flow network and county connection network, so that the key toll stations and distribution characteristics of network degree are identified effectively, and the spatial pattern of car flow and the features of its network group structure are revealed. It is found that the spatial distribution of car flow shows a notable difference between the south and north of Jiangsu, with high-value points around the toll stations of central cities, provincial boundaries and cross-river bridges. The O-D flow network has an obvious scale-free feature, while the community structure is characterized by distribution along the expressway routes. The county connection network can be divided into 8 communities, with central cities as the cores.

Key words: expressway, traffic passenger flow, O-D flow network, community structure, Jiangsu Province

中图分类号:

K901

黄震方, 陈娱, 黄睿, 陆玉麒. 江苏省高速公路的客流空间格局与网络组团结构——基于联网收费大数据分析[J]. 地理科学, 2021, 41(6): 998-1008.

Huang Zhenfang, Chen Yu, Huang Rui, Lu Yuqi. Spatial Distribution and Network Community Structure of Expressway Car Flow in Jiangsu Province Based on Big Data Analysis of Toll Collection[J]. SCIENTIA GEOGRAPHICA SINICA, 2021, 41(6): 998-1008.

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江苏省高速公路的客流空间格局与网络组团结构——基于联网收费大数据分析

Spatial Distribution and Network Community Structure of Expressway Car Flow in Jiangsu Province Based on Big Data Analysis of Toll Collection

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