收稿日期: 2020-05-16
修回日期: 2021-04-22
网络出版日期: 2021-08-02
基金资助
国家自然科学基金(42001127);内蒙古师范大学研究生科研创新基金资助项目(CXJJS19138);内蒙古师范大学高层次人才科研项目(2018YJRC007)
Characteristics and evaluation of the spatial distribution of life service industry in Hohhot City
Received date: 2020-05-16
Revised date: 2021-04-22
Online published: 2021-08-02
通过以呼和浩特市为例,采用多源城市大数据,基于核密度估计法、局域Getis-Ord G*指数、标准差椭圆、Ripley’s K函数分析生活性服务业空间布局特征,运用双变量莫兰指数对各类生活性服务业的供给与需求进行评价并提出优化布局建议。研究表明：（1） 生活性服务业集聚中心的密度值随着距城市中心距离的增加而降低;各类生活性服务业分布重心大致相同,东西方向上发展较快。（2） 生活性服务业分布存在显著的冷热点集聚区;各类生活性服务业在不同尺度上的空间集聚表现不同,居民与家庭服务、医疗健康服务、住宿餐饮服务在较大空间范围内表现出集聚特征,区位选择的尺度范围较大。（3） 各类生活性服务业的供给与需求均呈空间正相关关系,但存在显著差异;在供需平衡的原则下,昭乌达路、鄂尔多斯大街、新华大街等几条主要道路上的生活性服务业空间布局存在明显不合理之处。
李小璨,阿荣,佟宝全 . 呼和浩特市生活性服务业空间布局特征及评价[J]. 干旱区地理, 2021 , 44(4) : 1186 -1197 . DOI: 10.12118/j.issn.1000–6060.2021.04.30
The urban life service industry is closely related to the daily life of urban residents. In this study, the central urban area of Hohhot City, Inner Mongolia, China was taken as an example. Multisource urban big data were collected, and the spatial layout characteristics of the life service industry were analyzed with the kernel density estimation method, local Getis-Ord G* index, standard deviation ellipse, and Ripley’s K function. Then, bivariate Moran’s I was used to evaluate the supply and demand of various life service industries and suggest an optimal layout. The results are as follows. (1) The density of agglomeration centers of the life service industry decreased with increasing distance from the city center. The distribution centers of various life service industries showed roughly the same trend. However, the development was more rapid in east-west directions. (2) There were significant cold and hot clusters in the distribution of the life service industry. Various types of life service industry had different spatial agglomerations at different spatial scales. Residential and family services, medical health services, and accommodation and catering services showed a large range of space clustering features, and the scale of location selection was relatively large. (3) The supply and demand of all types of life service industries had a positive correlation spatially, but there were significant differences. Under the principle of balance between supply and demand, there were obvious irrational points in the spatial layout of the life service industry on several major roads, such as Zhaowuda Road, Ordos Street, and Xinhua Street. This research can serve as a reference for the future spatial planning and structural adjustment of the service industry in Hohhot City.
Key words： life service industry; POI data; space layout; bivariate Moran’s I; Hohhot City
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