地球信息科学学报 ›› 2023, Vol. 25 ›› Issue (10): 2055-2069.doi: 10.12082/dqxxkx.2023.230253

• 地理空间分析综合应用 • 上一篇    下一篇

厦门市轨道站点辐射范围空间形态及影响因素研究

闫丛笑1(), 高悦尔1,*(), 王强2, 陈烨1   

  1. 1.华侨大学建筑学院,厦门 361021
    2.青岛市城市规划设计研究院,青岛 266071
  • 收稿日期:2023-05-08 修回日期:2023-07-08 出版日期:2023-10-25 发布日期:2023-09-22
  • 通讯作者: * 高悦尔(1983—),女,福建晋江人,教授,研究方向为城市交通规划与土地利用、智慧交通与大数据、城市综合公共交通、轨道城市与TOD。E-mail: gaoyueer123@gmail.com
  • 作者简介:闫丛笑(1998—),女,河北邯郸人,硕士生,研究方向为城市设计理论、轨道城市与TOD。E-mail: 573347381@qq.com
  • 基金资助:
    国家自然科学基金项目(52078224)

Spatial Form of Metro Catchment Areas and Its Influencing Factors in Xiamen City

YAN Congxiao1(), GAO Yueer1,*(), WANG Qiang2, CHEN Ye1   

  1. 1. College of Architecture,Huaqiao University,Xiamen 361021, China
    2. Qingdao Institute of Urban Planning and Design, Qingdao 266071, China
  • Received:2023-05-08 Revised:2023-07-08 Online:2023-10-25 Published:2023-09-22
  • Contact: * GAO Yueer, E-mail: gaoyueer123@gmail.com
  • Supported by:
    National Natural Science Foundation of China(52078224)

摘要:

精细化研究轨道站点辐射范围空间形态及其影响因素对于建立轨道交通与建成环境长效互动机制,指导基于TOD发展模式的轨道站点周边用地开发等具有重要意义。为了更精准地表达站点辐射范围的形态规律,本文以厦门为例,通过高德通勤OD数据和高德路径规划数据获得轨道各站点的实际客流来源空间分布,借助标准差椭圆法建立了扁率、相对距离、夹角、沿线偏移程度4个描述站点辐射范围形态的指标体系。基于指标体系归纳轨道站点辐射范围的空间形态类型,并揭示各种形态类别下的站点与周边建成环境及站点属性等因素的影响关系。结果显示:厦门市岛内站点辐射范围偏心程度更小且方向更加显著,多数站点与线路趋于垂直关系且趋于向线路垂直一侧偏移。站点可根据偏心程度的不同分为耦合服务类、偏心服务类和完全离心类站点,并进一步分为8种形态,其空间分布存在一定聚集现象。用地布局及开发程度、站点间距及布局、区位环境等影响因素,会使站点形成不同的辐射范围形态。结果对于补充轨道站点辐射范围的研究方法和提高轨道交通的综合效益具有重要意义。

关键词: 轨道交通, 站点辐射范围形态, 影响因素, LBS数据, 标准差椭圆, 指标体系, 分类

Abstract:

It is of great significance to study the spatial form of the catchment area of metro stations and their influencing factors for establishing a long-term interaction mechanism between rail transit and the built environment and guiding the development of land use around metro stations based on the TOD development model. In order to more accurately express the form characteristics of the catchment area of the stations, this paper takes Xiamen as an example, obtains the spatial distribution of the actual passenger flow source of each station of the metro through the Amap commuting OD data and the Amap route planning data, and uses the Standard Deviation Ellipse (SDE) method to establish the oblateness, relative distance, angle, and offset along the line to describe the form of the catchment area of each station. Based on the index system, the spatial form types of the catchment area of metro stations are summarized, and the influence mechanism of each station and the surrounding built environment, and station attributes under various form categories are revealed. The results show that: ① There are obvious differences in the eccentricity and aggregation direction of the catchment area of the metro stations inside and outside the island in Xiamen. The catchment area direction of most stations tends to be vertical to the line, and the source center tends to shift to the vertical direction of the line; ② According to the importance of the four indicators to measure the homogenization of the service scope of the station, the stations are divided into three categories: coupling service, eccentric service, and complete centrifugal service, and further divided into eight spatial forms. Among them, the coupling service stations are closest to the homogenization mode of theoretical TOD; ③ There is a certain aggregation phenomenon in the spatial distribution of various stations. The coupling service stations are mainly distributed in the west and south of the island. The eccentric service stations are mainly distributed in the north of the island and outside the island. The completely centrifugal stations are mainly distributed outside the island and in the east of the island; ④ The scale and location of factors such as land use layout and development degree, station density and layout, and location environment will make the station form different catchment area forms. The results are of great significance for supplementing the research methods of the catchment area of metro stations and improving the comprehensive benefits of rail transit.

Key words: rail transit, the form of the catchment area of metro station, influencing factors, LBS data, Standard Deviation Ellipse, indicator system, classification