地理学报 ›› 2018, Vol. 73 ›› Issue (2): 248-260.doi: 10.11821/dlxb201802004

• 交通与旅游地理 • 上一篇    下一篇

基于高速公路联网收费数据的江苏省交通流动特征与影响因素

靳诚1,2(),徐菁3(),黄震方1,2,陆玉麒1,2,柯文前4,陈娱1,2   

  1. 1. 南京师范大学地理科学学院,南京 210023
    2. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
    3. 南京晓庄学院旅游与社会管理学院,南京 211171
    4. 福建师范大学地理研究所,福州 350007
  • 收稿日期:2016-12-30 出版日期:2018-02-11 发布日期:2018-02-11
  • 基金资助:
    国家自然科学基金项目(41601131, 41571134, 41430635);江苏省高校自然科学研究重大项目(16KJA170002)

Regional traffic flow and its influencing factors based on expressway network toll collection data: A case study in Jiangsu province

JIN Cheng1,2(),XU Jing3(),HUANG Zhenfang1,2,LU Yuqi1,2,KE Wenqian4,CHEN Yu1,2   

  1. 1. School of Geography Science, Nanjing Normal University, Nanjing 210023, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    3. Tourism and Social Administration College, Nanjing Xiaozhuang University, Nanjing 211171, China
    4. Institute of Geography, Fujian Normal University, Fuzhou 350007, China
  • Received:2016-12-30 Online:2018-02-11 Published:2018-02-11
  • Supported by:
    National Natural Science Foundation of China, No.41601131, No.41571134, No.41430635;Natural Science Foundation of the Jiangsu Higher Education Institutions, No.16KJA170002

摘要:

高速交通网络是一种十分重要的地区间联系形式,对区域空间结构的重构有着显著的推动作用。高速公路联网收费数据为从高速公路流量视角探讨区域交通流动提供了有效的数据支撑。以江苏省为案例区,以江苏省内高速公路网络2014年的收费站点间出发地—目的地(O-D)数据为支撑,探究区域交通流动特征,并运用地理加权回归(GWR)模型分析方法探讨流动的影响因素。结果表明:① 江苏省内部交通流动存在较大的不均衡性,核心节点(收费站、县域节点)主要位于江苏省南部,在空间上呈现出以核心节点为中心的放射性结构。② 流量总体上呈现距离衰减特征,空间间隔尺度越大,距离衰减规律特征越明显,且衰减规律符合幂律分布。③ 常住人口、经济发展、公路里程可有效解释县域流量分布,经济发展对各县域交通流量的影响在江苏北部地区表现的更为强烈,人口对江苏南部地区交通流量影响具有局部优势,公路里程对苏南地区存在较弱的负向影响。

关键词: 交通流动, 影响因素, 高速公路, GWR模型, 江苏省

Abstract:

High-speed traffic networks, as one of the most important methods of regional linkage, play a critical role in promoting the construction of social and economic spatial structure. Expressway network toll collection provides effective data support for regional traffic flow research, from the perspective of expressway network. The paper, supported by O-D data from toll stations throughout the Jiangsu expressway network during 2014, takes Jiangsu province as an example to conduct research on the characteristics and influencing factors of regional traffic flow. The following results can be obtained: (1) The traffic flow in Jiangsu is quite unbalanced, and the core codes (toll stations and counties) are mainly located in southern Jiangsu, which show a radioactive structure with core codes as the center. (2) The characteristics of distance decay are generally shown in the vehicle flow. The longer the space distance is, the more obvious the decay regularity of distance becomes. The relationship between the vehicle flow and distance is in accord with power law distribution. (3) Permanent residents, economic distribution and expressway mileage can effectively explain regional traffic flow distribution. Specifically, economic development has the greatest influence on the traffic flow in northern Jiangsu; population has local advantages on traffic flow in southern Jiangsu; expressway mileage has a relatively weak negative influence on the traffic flow in southern Jiangsu.

Key words: traffic flow, influencing factors, expressway network, geographically weighted regression, Jiangsu province