基于手机信令数据的昆山市职住分布与通勤特征分析
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摘要
城市交通问题愈发严峻,利用手机数据探究职住分布及通勤特征分析符合智慧城市和"四个交通"中智慧交通的发展理念,对推动交通运输现代化发展有着重要意义。当前,手机信令研究主要集中在职住空间识别方面,而对识别出来的职住状况背后的原因以及通勤等方面缺乏系统研究。本文以昆山市为研究对象,基于手机信令数据提取用户职住地信息,分析其职住空间分布特点,并在此基础上分析昆山市职住空间分布和通勤交通现状。
Urban traffic problems are increasingly severe. Using mobile phone data to explore the distribution of occupational residence and the analysis of commuting characteristics conforms to the concept of smart cities and smart traffic in "four traffic" development, and it is of great significance to promote the modernization of transportation the city. At present, research on cell-phone signaling mainly focuses on the recognition of the occupational and residential space. However, there is a lack of systematic research on the reasons behind this situation and commuting. This paper takes Kunshan city as the research object, extracts the user's residence and residence information based on the mobile phone signalling data,and analyzes the spatial distribution characteristics of their job and residence. Based on this analysis, the status of the spatial distribution of residence and commuting traffic in Kunshan city was analyzed.
Urban traffic problems are increasingly severe. Using mobile phone data to explore the distribution of occupational residence and the analysis of commuting characteristics conforms to the concept of smart cities and smart traffic in "four traffic" development, and it is of great significance to promote the modernization of transportation the city. At present, research on cell-phone signaling mainly focuses on the recognition of the occupational and residential space. However, there is a lack of systematic research on the reasons behind this situation and commuting. This paper takes Kunshan city as the research object, extracts the user's residence and residence information based on the mobile phone signalling data,and analyzes the spatial distribution characteristics of their job and residence. Based on this analysis, the status of the spatial distribution of residence and commuting traffic in Kunshan city was analyzed.
引文
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[8]昆山市总体规划实施评估工作组.昆山市城市总体规划(2016-2030)城市集中建设区空间布局专题之一:空间布局结构[R].2016.
[9] Asadi-Shekari Z, Moeinaddini M,Muhammad Zaly-Shah M.非机动交通方式服务水平探讨:应对步行和自行车服务水平评价问题[J].钮志强,译.城市交通,2014,12(4):77-94.
[2]张天然.基于手机信令数据的上海市域职住空间分析[J].城市交通,2016,14(1):15-23.
[3]冉斌.手机数据在交通调查和交通规划中的应用[J].城市交通,2013,11(1):72-81,32.
[4]钮心毅,丁亮.利用手机数据分析上海市域的职住空间关系:若干结论和讨论[J].上海城市规划,20 1 5(2):39-43.
[5]江捷.利用手机数据分析深圳五大就业中心职住分布与通勤特征[A]//2016年中国城市交通规划年会论文集[C].2016.
[6]汤淑星.存量规划背景下工业用地转型更新规划研究:以昆山巿高新区工业用地转型为例[A]//持续发展理性规划——2017中国城市规划年会论文集(02城市更新)[C]. 2017.
[7] Sagl G, Delmelle E.Mapping collective human activity in an urban environment based on mobile phone data[J]. Cartography and Geographic Information Science, 2014,41(3):272-285.
[8]昆山市总体规划实施评估工作组.昆山市城市总体规划(2016-2030)城市集中建设区空间布局专题之一:空间布局结构[R].2016.
[9] Asadi-Shekari Z, Moeinaddini M,Muhammad Zaly-Shah M.非机动交通方式服务水平探讨:应对步行和自行车服务水平评价问题[J].钮志强,译.城市交通,2014,12(4):77-94.