基于大数据方法的城市就业和居住空间关系研究——以郑州市中心城区为例
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摘要
就业和居住是个人生产活动和生活活动的主要表现形式,也是城市空间结构的两个核心内生变量,两者相互依存相互影响,研究职住空间分布的影响因素对于分析城市空间演变过程具有重要的意义。本文从实证角度以郑州市中心城区为例,借助百度地图,利用百度地图热力图和百度地图POI数据,通过大数据方法分析郑州市中心城区就业和居住空间布局关系,证实了郑州市存在职住不平衡现象,进而探讨造成职住分离的影响因素。
Employment and residence are the main manifestations of individual production activities and living activities, and also two core endogenous variables of urban spatial structure. The two depend on each other and influence each other. The influencing factors of the study of occupational spatial distribution are used to analyze the urban spatial evolution process. Has an important meaning. This paper takes the Zhengzhou downtown area as an example from the empirical point of view, using Baidu map, using Baidu map heat map and Baidu map POI data, through the big data method to analyze the relationship between employment and living space layout in Zhengzhou city center, confirming the existence of Zhengzhou City Unbalanced phenomena, and then explore the factors that cause separation of occupation and housing.
Employment and residence are the main manifestations of individual production activities and living activities, and also two core endogenous variables of urban spatial structure. The two depend on each other and influence each other. The influencing factors of the study of occupational spatial distribution are used to analyze the urban spatial evolution process. Has an important meaning. This paper takes the Zhengzhou downtown area as an example from the empirical point of view, using Baidu map, using Baidu map heat map and Baidu map POI data, through the big data method to analyze the relationship between employment and living space layout in Zhengzhou city center, confirming the existence of Zhengzhou City Unbalanced phenomena, and then explore the factors that cause separation of occupation and housing.
引文
[1]汤坤,余珮珩,朱佩娟,李岚君,姚淳.基于大数据方法的长沙市中心城区职住关系研究[J].经济研究导刊,2016,(33):119-121.
[2]卫龙,高红梅.城市居民职住空间关系研究进展综述[J].交通运输工程与信息学报,2016,14(04):55-63.
[3]谭欣,黄大全,赵星烁,余颖,冷炳荣,冯雷.基于百度热力图的职住平衡度量研究[J].北京师范大学学报(自然科学版),2016,52(05):622-627+534.
[4]汪程,黄春晓,李鹏飞,王超.城市中心区人群空间利用的时空特征及动因研究--以南京市新街口地区为例[J].现代城市研究,2016,(07):59-67.
[5]李娟,李苗裔,龙瀛,党安荣.基于百度热力图的中国多中心城市分析[J].上海城市规划,2016,(03):30-36.
[6]郑臣臣.郑州市就业-居住空间结构研究[D].郑州大学,2016.
[7]吴志强,叶锺楠.基于百度地图热力图的城市空间结构研究--以上海中心城区为例[J].城市规划,2016,40(04):33-40.
[2]卫龙,高红梅.城市居民职住空间关系研究进展综述[J].交通运输工程与信息学报,2016,14(04):55-63.
[3]谭欣,黄大全,赵星烁,余颖,冷炳荣,冯雷.基于百度热力图的职住平衡度量研究[J].北京师范大学学报(自然科学版),2016,52(05):622-627+534.
[4]汪程,黄春晓,李鹏飞,王超.城市中心区人群空间利用的时空特征及动因研究--以南京市新街口地区为例[J].现代城市研究,2016,(07):59-67.
[5]李娟,李苗裔,龙瀛,党安荣.基于百度热力图的中国多中心城市分析[J].上海城市规划,2016,(03):30-36.
[6]郑臣臣.郑州市就业-居住空间结构研究[D].郑州大学,2016.
[7]吴志强,叶锺楠.基于百度地图热力图的城市空间结构研究--以上海中心城区为例[J].城市规划,2016,40(04):33-40.