基于POI数据的城市轨道交通站点活力研究

付栋文, 韩印, 王馨玉

交通运输研究 ›› 2021, Vol. 7 ›› Issue (6) : 69-78.

交通运输研究 ›› 2021, Vol. 7 ›› Issue (6) : 69-78. DOI: 10.16503/j.cnki.2095-9931.2021.06.008

基于POI数据的城市轨道交通站点活力研究

作者信息 +

Vitality of Urban Rail Transit Stations Based on POI Data

  • FU Dong-wen ,  
  • HAN Yin ,  
  • WANG Xin-yu
Author information +
文章历史 +

摘要

为促进城市轨道交通站点设施与周边业态在空间布局上协同发展,从站点周边区域服务设施数量与教育、医疗等社会公共服务获取便利性这两个维度出发,利用兴趣点数据构建了轨道交通站点周边空间活力评价模型。以南昌市为例,利用ArcGIS软件与Python,对其轨道交通站点活力分布特征进行了定量分析,然后对轨道交通站点进行聚类。结果表明,南昌市轨道交通站点周边空间活力分布不够均衡,老城区的轨道交通站点活力总体优于其他区域,线路首末段站点活力多数低于中间段站点。此外,不同类别站点的周边空间活力存在显著差异,活力显著较低的站点数量占比大,高达33%;活力相对均衡的站点数量占比较小,仅为20%。根据站点活力评价结果,从提升公共交通导向式土地开发(Transit Oriented Development, TOD)效益层面出发,对南昌市轨道交通站点周边设施建设规划提出针对性建议。

Abstract

In order to promote the coordinated development of urban rail transit station facilities and surrounding business in spatial layout, based on the two dimensions of the number of service facilities around stations and the convenience of access to social public services such as education and medical treatment, a vitality evaluation model of the surrounding space of urban rail transit stations was constructed by using POI(Point of Interest) data. Taking Nanchang as a study case, the vitality distribution characteristics of urban rail transit stations were quantitatively analyzed by ArcGIS and Python, then the urban rail transit stations were clustered. The results show that the spatial vitality distribution around the urban rail transit stations in Nanchang is extremely uneven. The vitality of rail transit stations in the old urban area is generally bigger than that of stations in other regions, and the vitalities of the start and end stations of the lines are mostly lower than those in the middle sections. In addition, there are significant differences in the surrounding space vitality of different types of stations. The number of stations with significantly low vitality accounts for a large proportion, up to 33%; the number of stations with relatively balanced vitality accounts for a small proportion, only 20%. Based on the results of site vitality evaluation, from the perspective of improving the benefits of urban rail transit TOD(Transit Oriented Development), some planning suggestions for surrounding facilities construction of the urban rail transit in Nanchang are proposed.

关键词

城市轨道交通 / 城市活力 / POI数据 / ArcGIS / TOPSIS

Key words

urban rail transit / urban vitality / POI(Point of Interest) data / ArcGIS / TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution)

引用本文

导出引用
付栋文, 韩印, 王馨玉. 基于POI数据的城市轨道交通站点活力研究[J]. 交通运输研究. 2021, 7(6): 69-78 https://doi.org/10.16503/j.cnki.2095-9931.2021.06.008
FU Dong-wen, HAN Yin, WANG Xin-yu. Vitality of Urban Rail Transit Stations Based on POI Data[J]. Transport Research. 2021, 7(6): 69-78 https://doi.org/10.16503/j.cnki.2095-9931.2021.06.008

参考文献

[1]
DITTMAR H, OHLAND G. The new transit town: Best practices in transit-oriented development[M]. Washington DC: Island Press, 2004.
[2]
JACOBS J. The death and life of great American cities[M]. New York: Random House LLC, 1961.
[3]
MONTGOMERY J. Making a city: Urbanity, vitality and urban design[J]. Journal of Urban Design, 1998,3(1):93-116.
[4]
BOSSELMANN P, ELIZABETH M, KRONEMEYER T. Livable streets revisited[J]. Journal of the American Planning Association, 1999,65(2):168-180.
[5]
蒋涤非. 城市形态活力论[M]. 南京: 东南大学出版社, 2007.
[6]
FUENTES L, MIRALLES-GUASCH C, TRUFFELLO R, et al. Santiago de Chile through the eyes of Jane Jacobs: Analysis of the conditions for urban vitality in a Latin American metropolis[J]. Land, 2020,9(12):498. https://doi.org/10.3390/land912049.
[7]
KANG C, FAN D, JIAO H. Validating activity, time, and space diversity as essential components of urban vitality[J]. Environment and Planning B: Urban Analytics and City Science, 2021,48(5):1180-1197.
[8]
SUNG H, LEE S. Residential built environment and walking activity: Empirical evidence of Jane Jacobs′ urban vitality[J]. Transportation Research Part D: Transport and Environment, 2015,41:318-329.
[9]
裴昱, 吴灈杭, 唐义琴, 等. 基于空间数据的北京二环内夜间街道活力与影响因素分析[J]. 城市建筑, 2018(9):111-116.
[10]
汪海, 蒋涤非. 城市公共空间活力评价体系研究[J]. 铁道科学与工程学报, 2012,9(1):56-60.
[11]
罗奇, 温子涵, 余来彦. 环境行为学导向下小城镇街道空间活力提升策略研究——以紫湖镇为例[J]. 城市发展研究, 2019,26(2):20-24,30.
[12]
罗克乾, 沈中伟. 基于空间句法的城市地下空间活力研究——以成都市轨道交通站点接驳的地下空间为例[J]. 南方建筑, 2019(4):116-121.
[13]
吴光周, 黄虎, 胡金晖. 基于IC卡刷卡数据的深圳市轨道交通站点活力研究[J]. 都市快轨交通, 2020,33(5):39-45,79.
[14]
周雨霏, 杨家文, 周江评, 等. 基于热力图数据的轨道交通站点服务区活力测度研究——以深圳市地铁为例[J]. 北京大学学报(自然科学版), 2020,56(5):875-883.
[15]
王维礼, 白云庆, 卢景德. 基于兴趣点(POI)数据的地铁站周边商业空间活力分级与耦合性研究——以天津市中心城区为例[J]. 城市, 2019(5):14-22.
[16]
索超, 张浩. 高铁站点周边商务空间的影响因素与发展建议——基于沪宁沿线POI数据的实证[J]. 城市规划, 2015,39(7):43-49.
[17]
郭闯, 陈文静, 王均瑶. 长春市轨道交通与空间及业态的联动关系研究[J]. 交通运输研究, 2018,4(1):35-43.
[18]
陈蔚珊, 柳林, 梁育填. 基于POI数据的广州零售商业中心热点识别与业态集聚特征分析[J]. 地理研究, 2016,35(4):703-716.
[19]
薛冰, 肖骁, 李京忠, 等. 基于POI大数据的城市零售业空间热点分析——以辽宁省沈阳市为例[J]. 经济地理, 2018,38(5):36-43.
[20]
段亚明, 刘勇, 刘秀华, 等. 基于POI大数据的重庆主城区多中心识别[J]. 自然资源学报, 2018,33(5):788-800.
[21]
郭洁, 吕永强, 沈体雁. 基于点模式分析的城市空间结构研究——以北京都市区为例[J]. 经济地理, 2015,35(8):68-74,97.
[22]
李江苏, 梁燕, 王晓蕊. 基于POI数据的郑东新区服务业空间聚类研究[J]. 地理研究, 2018,37(1):145-157.
[23]
阳志充. Hedonic模型在地铁沿线住宅价值评估中的应用研究——以南昌地铁1号线为例[D]. 南昌:江西财经大学, 2019.

基金

上海市软科学重点项目(21692105100)

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