[1]吴子超,王成芳.POI业态变化视角下轨道沿线用地优化策略思考——以广州地铁六号线为例[J].西安建筑科技大学学报(自然科学版),2023,55(06):840-848.[doi:10.15986/j.1006-7930.2023.06.007]
 WU Zichao,WANG Chengfang.Optimization strategy of land-use along metro station area based on POI formats changes: A case study of Guangzhou metro line 6[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2023,55(06):840-848.[doi:10.15986/j.1006-7930.2023.06.007]
点击复制

POI业态变化视角下轨道沿线用地优化策略思考——以广州地铁六号线为例()
分享到:

西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
55
期数:
2023年06期
页码:
840-848
栏目:
出版日期:
2023-12-28

文章信息/Info

Title:
Optimization strategy of land-use along metro station area based on POI formats changes: A case study of Guangzhou metro line 6
文章编号:
1006-7930(2023)06-0840-09
作者:
吴子超12王成芳12
(1.华南理工大学 建筑学院,广东 广州 510000;2.亚热带建筑与城市科学全国重点实验室,广东 广州 510000)
Author(s):
WU Zichao12WANG Chengfang12
(1.School of Architecture, South China University of Technology, Guangzhou 510000, China; 2.State Key Laboratory of Subtropical Building and Urban Science, Guangzhou 510000, China)
关键词:
业态变化地铁站域分组分析用地优化广州
Keywords:
Format changeSubway station areaGIS grouping analysisOptimization strategy Guangzhou
分类号:
TU984.13
DOI:
10.15986/j.1006-7930.2023.06.007
文献标志码:
A
摘要:
城市化转型新阶段,轨道沿线土地利用和物业发展更需要科学规划和引导,新型网络开源数据可提供更精细化的数据支撑.以广州地铁六号线一期20个站点步行影响区域为研究对象,选取2009—2019年期间六个年份POI作为主要研究数据,采用GIS分组分析工具将站点分为中心区商业居住混合型、中心区办公居住混合型、城郊居住服务型、城郊综合发展型4类站点,并对各类站域业态构成及多时期演变特征进行深度剖析.研究发现:不同区位和不同功能导向的地铁站点对其沿线各类业态的促进影响各不相同,任由地铁站域业态自由发展而不加以适度引导会造成部分业态同质化发展,导致部分站域功能混合度降低,与提倡功能混合、高效低碳的轨道沿线站点发展理念相背离.基于此,从“因站施策”、适度引导业态复合发展、综合优化站域建成环境三个方面提出对轨道交通沿线用地优化提升对策和相关思考.
Abstract:
In the new era of urbanization transformation, land use and property development along the urban rail transit line need more scientific planning and guidance, and the new big data can provide more refined data support. Taking 20 station areas in the first phase of Guangzhou Metro Line 6 as the case study, the POI data of six years from 2009 to 2019 was used for indepth analysis. Based on GIS grouping analysis tool, the station area were divided into four types: commercial residential mixed in the central area, office residential mixed in the central area, suburban residential service, suburban comprehensive development. Moreover, the composition and multiperiod evolution characteristics of various station types are deeply analyzed. It was found that metro stations with different location and function orientation had different effects on various types of business along the metro line. If the functional formats of subway stations were allowed to develop freely without appropriate guidance, it was easy to cause the homogenization of some formats, resulting in the reduction of the functional mixing degree of some stations. Therefore, three countermeasures were put forward to optimize and improve land use along rail transit, including formulating development policies according to different station types, appropriately guiding the complex development of functional formats, and comprehensively optimizing the built environment of station area.

参考文献/References:

[1]中华人民共和国交通运输部.2023年3月城市轨道交通运营数据速报[N/OL]. https://www.mot.gov.cn/fenxigongbao/yunlifenxi/202304/t20230407_3790012.html, 2023.04.07.

 Ministry of Transport of the People′s Republic of China.2023 Urban Rail Transit Operation Data Quick Report[N/OL]. https://www.mot.gov.cn/fenxigongbao/yunlifenxi/202304/t20230407_3790012.html, 2023.04.07.
[2]BOWES D R, IHLANFELDT K R. Identifying the impacts of rail transit stations on residential property values[J]. Journal of Urban Economics, 2001, 50(1): 1-25.
[3]CERVERO R, LANDIS J. Twenty years of the bay area rapid transit system: land use and development impacts[J]. Transportation Research Part A: Policy and Practice, 1997, 31(4): 309-333.
[4]王亚洁.国外城市轨道交通与站域土地利用互动研究进展[J].国际城市规划,2018,33(1):111-118.
 WANG Yajie. International studies on the interaction between urban rail transit and land use of station areas[J]. Urban Planning International, 2018,33(1): 111-118.
[5]何尹杰,吴大放,刘艳艳.城市轨道交通对土地利用的影响研究综述——基于Citespace 的计量分析[J].地球科学进展,2018,33(12):1259-1271.
 HE Yinjie, WU Dafang, LIU Yanyan. Review on the impacts of public rail transport on urban land use change: A citespacebased quantitative analysis[J]. Advances in Earth Science, 2018,33(12): 1259-1271.
[6]谭章智,李少英,黎夏,等.城市轨道交通对土地利用变化的时空效应[J].地理学报,2017,72(5):850-862.
 TAN Zhangzhi, LI Shaoying, LI Xia, et al. Spatio-temporal effects of urban rail transit on complex land-use change[J]. Acta Geographica Sinica, 2017,72(5): 850-862.
[7]曾如思, 沈中伟, 罗克乾. 轨道交通站域商业集聚特征与演变研究——基于POI数据的实证分析[J]. 南方建筑, 2020(6): 126-132.
 ZENG Rusi, SHEN Zhongwei, LUO Keqian. Agglomeration and evolution characteristics of commercial function in metro station areas: An empirical study based on POI data[J]. South Architecture, 2020(6): 126-132.
[8]彭诗尧, 陈绍宽, 许奇, 等. 基于POI的土地利用与轨道交通客流的空间特征[J]. 地理学报, 2021, 76(2): 459-470.
 PENG Shiyao, CHEN Shaokuan, XU Qi, et al. Spatial characteristics of land use based on POI and urban rail transit passenger flow[J]. Acta Geographica Sinica, 2021, 76(2): 459-470.
[9]于洋, 周睿, 吴冰瑕, 等. TOD导向下地铁站域商业空间演变与优化路径——以成都市3个城市级地铁站域为例[J]. 规划师, 2022, 38(4): 107-114.
 YU Yang, ZHOU Rui, WU Bingxia, et al. Evolution mechanism and optimization path of commercial space in metro station area under TOD guidance: Three cases in Chengdu[J]. Planners, 2022, 38(4): 107-114.
[10]方翰, 沈中伟, 喻冰洁, 等. 基于POI的成都市地下商业空间演化与机制研究——以火车北站、春熙路、环球中心片区为例[J]. 南方建筑, 2022(1): 85-93.
 FANG Han, SHEN Zhongwei, YU Bingjie,et al. Spatial and temporal evolution of underground commercial space in Chengdu based on POI data: A case study based on north railway station area, Chunxi road area and global center area[J]. South Architecture, 2022(1): 85-93.
[11]陈泳,何宁.轨道交通站地区宜步行环境及影响因素分析——上海市12个生活住区的实证研究[J].城市规划学刊,2012(6):96-104.
 CHEN Yong, HE Ning. Analysis on the walkable environment and its influencing factors in the rail transit station area:An empirical study of 12 living quarters in Shanghai[J]. Journal of Urban Planning, 2012(6): 96-104.
[12]王成芳. 基于多维度视角下城市轨道站区用地优化策略研究——以广州为例[M]. 北京:中国建筑工业出版社, 2015.
 WANG Chengfang. Research on land use optimization strategy of urban rail station area based on multi-dimensional perspective:Take Guangzhou as a case study[M]. Beijing:China Architecture & Building Press, 2015.
[13]申犁帆,王烨,张纯,等.轨道站点合理步行可达范围建成环境与轨道通勤的关系研究——以北京市44个轨道站点为例[J].地理学报,2018,73(12):2423-2439.
 SHEN Lifan, WANG Ye, ZHANG Chun, et al. Relationship between built environment of rational pedestrian catchment areas and URT commuting ridership: Evidence from 44 URT stations in Beijing[J]. Acta Geographica Sinica, 2018,73(12): 2423-2439.
[14]ArcGIS帮助文档.分组分析的工作原理[EB/OL]. https://desktop.arcgis.com/zh.cn/arcmap/latest/tools/spatial.statistics.toolbox/how.grouping.analysis.works.htmttps://www.mot.gov.cn/fenxigongbao/yunlifenxi/202304/t20230407_3790012.html.
 ArcGIS Tool Reference.How Grouping Analysis works[EB/OL]. https://desktop.arcgis.com/zh.cn/arcmap/latest/tools/spatial.statistics.toolbox/how.grouping.analysis.works.htmttps://www.mot.gov.cn/fenxigongbao/yunlifenxi/202304/t20230407_3790012.html.
[15]湛东升,张文忠,孟斌,等.北京城市居住和就业空间类型区分析[J].地理科学,2017,37(3):356-366.
 ZHAN Dongsheng, ZHANG Wenzhong, MENG Bin, et al. Spatial structure of urban residence and employment in Beijing[J]. Scientia Geographica Sinica, 2017,37(3): 356-366.
[16]廖开怀,陈姝卉.广东省市际边界城镇发展的空间类型划分[J].热带地理,2022,42(3):431-443.
 LIAO Kaihuai, CHEN Shuhui. Identification of spatial development types of intercity border towns in Guangdong Province, China[J]. Tropical Geography, 2022,42(3): 431-443.
[17]闫晴,李诚固,陈才,等.基于手机信令数据的长春市活动空间特征与社区分异研究[J].人文地理,2018,33(6):35-43.
 YAN Qing, LI Chenggu, CHEN Cai, et al. Characteristics of activity space and community differentiation in Changchun: A study using mobile phone signaling data[J]. Human Geography, 2018,33(6): 35-43.
[18]龙瀛,周垠.街道活力的量化评价及影响因素分析——以成都为例[J].新建筑,2016(1):52-57.
 LONG Ying, ZHOU Yin. Quantitative evaluation on street vibrancy and its impact factors: A case study of Changdu[J]. New Architecture, 2016(1): 52-57.
[19]郝新华,龙瀛,石淼,等.北京街道活力:测度、影响因素与规划设计启示[J].上海城市规划,2016(3):37-45.
 HAO Xinhua, LONG Ying, SHI Miao, et al. Street vibrancy of Beijing: measurement, impact factors and design implication[J]. Shanghai Urban Planning Review, 2016(3): 37-45.
[20]李苗裔,马妍,孙小明,等.基于多源数据时空熵的城市功能混合度识别评价[J].城市规划,2018,42(2):97-103.
 LI Miaoyi, MA Yan, SUN Xiaoming, et al. Application of spatial and temporal entropy based on multi-source data for measuring the mix degree of urban functions[J]. Urban planning Review, 2018,42(2): 97-103.

备注/Memo

备注/Memo:
收稿日期:2022-04-30修回日期:2023-01-21
基金项目:国家自然科学基金面上项目(52078217);亚热带建筑与城市科学全国重点实验室自主研究课题(2022KA01);广东省软科学研究计划项目((2020B1010010002)
第一作者:吴子超(1995—),男,博士生,主要研究方向为TOD与城市设计.E-mail:zichao.wu@qq.com
通信作者:王成芳(1978—),女,博士,副教授,主要研究方向为城市保护与更新、TOD、GIS与大数据.E-mail:cfwang@scut.edu.cn
更新日期/Last Update: 2024-02-04