当前,城市轨道站点及周边区域综合开发相互脱节、站城融合不充分、可达性不足以及综合效益低等诸多一体化建设问题日渐凸显,且城市轨道站点的监督实施评估机制尚不完善。在搭建城市轨道站点评估体系框架的基础上,从用地功能、交通组织、空间环境、商业活力、经济效益、安全韧性、地下空间和实施成效8个维度建立了城市轨道站点一体化评估指标体系,并以北京32个轨道站点为研究对象,利用熵权—TOPSIS法开展轨道站点不同辐射范围尺度的评估及分类。结果表明,轨道站点辐射范围不同,轨道站点一体化建设的影响因素存在空间差异,通过利用K-means聚类将评估结果划分为4类,并提出了分类优化建议。
At present, many integration construction problems such as the disconnection of integrated development of urban rail stations and surrounding areas, insufficient integration of stations and cities, insufficient accessibility, and low comprehensive benefits are becoming more and more prominent, and at the same time, the mechanism for supervising and implementing the assessment of urban rail stations is not yet perfect. Based on the framework of urban rail station assessment system, this paper established an integrated assessment index system for urban rail stations from eight dimensions, including land function, traffic organisation, spatial environment, commercial vitality, economic benefits, safety resilience, underground space and implementation effectiveness, and took 32 rail stations in Beijing as the objects of study, and carried out the assessment and classification of the rail stations in different radial scales by using entropy Weight-TOPSIS method. Evaluation and classification of different radiation scales of rail stations were carried out by using entropy Weight-TOPSIS method. The results show that there are spatial differences in the influencing factors of rail station integration construction in different radiation scales of rail stations, and the assessment results are divided into four categories by using K-means clustering, and classification optimisation suggestions are put forward.
[1] 李立峰.基于节点—场所模型的轨道站点地区交通与土地利用协同性研究[D].重庆:重庆大学,2018.(Li Lifeng.Research on the synergy between traffic and land use in rail station area based on node-place model[D].Chongqing: Chongqing University, 2018.(in Chinese))
[2] 李嘉威, 任利剑, 运迎霞.生活圈视角下轨道交通站点周边公服设施完善度评估研究——以天津地铁3号线为例[A] //面向高质量分展的空间治理——2021中国城市规划年会论文集[C].北京:中国建筑工业出版社, 2021: 659-668.(Li Jiawei, Ren Lijian, Yun Yingxia.Evaluation of the Perfection Degree of Public Service Facilities around Railway Stations from the Perspective of Life Circle—Taking Tianjin Metro Line 3 as an Example[A] // Spatial Governance for High-Quality Development-Proceedings of the 2021 China Urban Planning Annual Conference[C].Beijing: China Architecture Publishing & Media Co.Ltd.2021: 659-668.(in Chinese))
[3] 王昊.城市更新视角下昆明市南屏街片区地下空间评价与规划利用研究[D].昆明: 昆明理工大学, 2023.(Wang Hao.Research on the evaluation and planning utilisation of underground space in Nanping Street Area of Kunming under the perspective of urban renewal[D].Kunming: Kunming University of Science and Technology, 2023.(in Chinese))
[4] 黄文苑.低碳视角下产业片区轨道站点核心区慢行研究—以尖岗山高新产业片区为例[A] //2022中国城市规划年会论文集[C].武汉:中国城市规划学会, 2023: 196-209.(Huang Wenyuan.Study on Slow Walking in the Core Area of Railway Stations in Industrial Area under Low Carbon Perspective-Taking Jiangangshan Hi-Tech Industrial Area as an Example[A] // Proceedings of the 2022 China Urban Planning Annual Conference[C].Wuhan: Urban Planning Society of China, 2023: 196-209.(in Chinese))
[5] 朱影含.暴雨内涝下城市轨道交通地下站点韧性评估研究[D].重庆:重庆交通大学, 2021.(Zhu Yinghan.Resilience assessment of urb-an rail transit underground stations under heavy rainfall and flooding[D].Chongqing: Chongqing Jiaotong University, 2021.(in Chinese))
[6] 王英琪.轨道交通站点周边步行环境评价方法研究[D].西安:长安大学,2020.(Wang Yingqi.Research on evaluation method of walking environment around railway stations[D].Xi'an: Chang'an University,2020.(in Chinese))
[7] 程姝菲, 黄星程.城市轨道交通站点地缘经济溢出效益评价[J].铁道运输与经济, 2011, 33(7): 67-71.(Cheng Shufei, Huang Xingcheng.Evaluation of geo-economic spillover benefits of urban rail transit stations[J].Railway Transport and Economy, 2011, 33(7): 67-71.(in Chinese))
[8] 乔韵.厦门轨道站点交通一体化衔接综合评价研究[D].泉州:华侨大学, 2018.(Qiao Yun.Research on comprehensive evaluation of Xiamen rail site traffic integration and articulation[D].Quanzhou: Huaqiao University, 2018.(in Chinese))
[9] 沈月婷.杭州地铁站点交通一体化模式评估与优化[D].杭州:浙江大学,2018.(Shen Yueting.Evaluation and optimisation of Hangzhou Metro Station Traffic Integration Model[D].Hangzhou: Zhejiang University, 2018.(in Chinese))
[10] 刘怡君.基于商业一体化开发的轨道交通中心型站点空间绩效评价[D].成都:西南交通大学, 2019.(Liu Yijun.Evaluation of spatial performance of rail transit centre-type stations based on commercially integrated development[D].Chengdu: Southwest Jiaotong University, 2019.(in Chinese))
[11] 杨逍遥.基于NL模型的城市轨道交通接驳方式选择研究及交通与土地功能一体化评价[D].西安:长安大学, 2021.(Yang Xiaoyao.Research on the selection of urban rail transit connection mode based on NL model and evaluation of the integration of transport and land functions[D].Xi'an: Chang'an University, 2021.(in Chinese))
[12] 金昱.上海市轨道交通线网规划实施评估思路和要点[J].都市快轨交通, 2017, 30(2): 1-4.(Jin Yu.Ideas and points for the assessment of the implementation of Shanghai's rail transport line network planning[J].Urban Express Railway Transport, 2017, 30(2): 1-4.(in Chinese))
[13] 马小毅.广州市轨道交通线网规划评估与发展策略思考[J].现代城市轨道交通, 2020(3): 1-6.(Ma Xiaoyi.Evaluation of Guangzhou railway network planning and development strategy[J].Modern Urban Rail Transit, 2020(3): 1-6.(in Chinese))
[14] 李玲琦, 邹芳, 杨曌照等.武汉市城市轨道交通建设规划实施评估[J].城市轨道交通研究, 2019, 22(7): 9-12, 16.(Li Lingqi, Zou Fang, Yang Zhaozhao, et al.Assessment of the implementation of urban rail transport construction planning in Wuhan[J].Urban Rail Transit Research, 2019, 22(7): 9-12, 16.(in Chinese))
[15] 张小利, 李雄飞, 李军.融合图像质量评价指标的相关性分析及性能评估[J].自动化学报, 2014, 40(2): 306-315.(Zhang Xiaoli, Li Xiongfei, Li Jun.Validation and correlation analysis of metrics for evaluating performance of image fusion[J].Acta Automatica Sinica, 2014, 40(2): 306-315.(in Chinese))
[16] 周敏, 王海明, 杨振珑, 等.基于熵权—TOPSIS的成都市地铁TOD站点评价排序研究[J].铁道运输与经济, 2023, 45(4): 150-156.(Zhou Min, Wang Haiming, Yang Zhenlong, et al.Research on the evaluation ranking of TOD stations in Chengdu Metro based on entropy weight-TOPSIS[J].Railway Transport and Economy, 2023, 45(4): 150-156.(in Chinese))
[17] 郭鑫宇, 杨敬畏, 厉智成, 等.主客观组合权重-TOPSIS-k-means++法内涝风险评估[J].中国给水排水, 2024, 40(5): 130-136.(Guo Xinyu, Yang Jingwei, Li Zhicheng, et al.Subjective-objective combined weights-TOPSIS-k-means++ method for flooding risk assessment[J].China Water Supply and Drainage, 2024, 40(5): 130-136.(in Chinese))
[18] 董陶.基于K-means聚类的软测量建模研究[D].无锡:江南大学, 2013.(Dong Tao.Research on soft measurement modelling based on K-means clustering[D].Wuxi: Jiangnan University, 2013.(in Chinese))
