Measuring the Spatial Allocation Rationality of Service Facilities of Residential Areas Based on Internet Map and Location-Based Service Data

被引:14
|
作者
Zhou, Xinxin [1 ,2 ]
Ding, Yuan [3 ]
Wu, Changbin [1 ,2 ,4 ]
Huang, Jing [1 ,2 ]
Hu, Chendi [1 ,2 ]
机构
[1] Nanjing Normal Univ, Coll Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China
[3] Hohai Univ, Sch Earth Sci & Engn, Nanjing 211100, Jiangsu, Peoples R China
[4] Nanjing Normal Univ, Jiangsu Prov Key Lab Numer Simulat Large Scale Co, Nanjing 210023, Jiangsu, Peoples R China
来源
SUSTAINABILITY | 2019年 / 11卷 / 05期
基金
中国国家自然科学基金;
关键词
service facilities; Tencent location-based data; points of interest (POI); spatial allocation; internet map; PUBLIC-TRANSIT; ACCESSIBILITY; POINTS; EQUITY; HEALTH; DIRECTIONS; CITIES; SPACES; GIS;
D O I
10.3390/su11051337
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The spatial allocation rationality of the service facilities of residential areas, which is affected by the scope of the population and the capacity of service facilities, is meaningful for harmonious urban development. The growth of the internet, especially Internet map and location-based service (LBS) data, provides micro-scale knowledge about residential areas. The purpose is to characterize the spatial allocation rationality of the service facilities of residential areas from Internet map and LBS data. An Internet map provides exact geographical data (e.g., points of interests (POI)) and stronger route planning analysis capability through an application programming interface (API) (e.g., route planning API). Meanwhile, LBS data collected from mobile equipment afford detailed population distribution values. Firstly, we defined the category system of service facilities and calculated the available service facilities capacity of residential areas (ASFC-RA) through a scrappy algorithm integrated with the modified cumulative opportunity measure model. Secondly, we used Thiessen polygon spatial subdivision to gain the population distribution capacity of residential areas (PDC-RA) from Tencent LBS data at the representative moment. Thirdly, we measured the spatial allocation rationality of service facilities of residential areas (SARSF-RA) by combining ASFC-RA and PDC-RA. In this case, a trial strip census, consisting of serval urban residential areas from Wuxi City, Jiangsu Province, is selected as research area. Residential areas have been grouped within several ranges according to their SARSF-RA values. Different residential areas belong to different groups, even if they are spatially contiguous. Spatial locations and other investigation information coordinate with these differences. Those results show that the method that we proposed can express the micro-spatial allocation rationality of different residential areas dramatically, which provide a new data lens for various researchers and applications, such as urban residential areas planning and service facilities allocation.
引用
收藏
页数:19
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