昆明城市商业空间结构正在向多中心空间结构发展,餐饮业的空间分布格局对其具有重要影响.基于2018年昆明市中心城区36891条餐饮兴趣点(point of interest,POI)数据,利用核密度分析、局域Getis-OrdG*i指数法和地理加权回归模型,研究昆明...昆明城市商业空间结构正在向多中心空间结构发展,餐饮业的空间分布格局对其具有重要影响.基于2018年昆明市中心城区36891条餐饮兴趣点(point of interest,POI)数据,利用核密度分析、局域Getis-OrdG*i指数法和地理加权回归模型,研究昆明餐饮业的空间分布格局、餐饮活动热点区域及其空间分布影响因素.结果表明:昆明餐饮业空间分布不均衡,初步形成多中心发展的空间分布格局;显著性热点连片集聚于“老城区”,新城区还未形成传统意义上的餐饮热点;住宅小区数量对餐饮业分布影响程度大于公交站点数量与学校数量,对餐饮业分布均存在一定促进作用.传统“老城区”与新城区之间餐饮业发展差异明显,餐饮业布局还需进一步引导与发展.展开更多
Affected by factors such as the city’s functional orientation and tourism consumption, the spatial layout of the catering industry in a tourism city has its own distinctive characteristics. The spatial distribution c...Affected by factors such as the city’s functional orientation and tourism consumption, the spatial layout of the catering industry in a tourism city has its own distinctive characteristics. The spatial distribution characteristics of the catering industry and the factors impacting it(from the perspectives of transportation, tourism resources and population) in the main city area of Lhasa, Tibet were analysed through point of interest data mining, average nearest neighbour analysis, a standard deviational ellipse, kernel density estimation, and buffer analysis in ArcGIS software. As a result, the spatial distribution pattern showed catering providers are mainly aggregated in the vicinity of areas with either developed transportation or rich tourism resources. The resident population has an important but inconclusive influence on the distribution, while the distribution of its concentration is highly consistent with that of the instant population. Considering the spatial structure, functional orientation, and tourism development of the area, measures are proposed for optimizing the spatial layout of the catering industry in this tourism-heavy plateau city.展开更多
餐饮业的空间分布格局对于西安作为旅游城市的空间发展具有重要影响。基于2020年西安中心城区餐饮行业兴趣点(point of interest, POI)数据,利用核密度分析、局域GetisOrd G*i指数法和地理加权回归模型,研究西安市中心城区餐饮业的空间...餐饮业的空间分布格局对于西安作为旅游城市的空间发展具有重要影响。基于2020年西安中心城区餐饮行业兴趣点(point of interest, POI)数据,利用核密度分析、局域GetisOrd G*i指数法和地理加权回归模型,研究西安市中心城区餐饮业的空间分布格局、餐饮活动热点区域及其空间分布影响因素。结果表明:西安餐饮业空间分布不均衡,形成“一核多点,连片发展”的空间分布格局;各类型餐饮设施分布特征与总体分布特征类似,但设施间略显差异;“老城区”与新城区之间餐饮中心差异明显;餐饮设施的空间分布受交通、人口、经济、历史等因素的影响,其中经济发展水平的影响程度最深。展开更多
文摘昆明城市商业空间结构正在向多中心空间结构发展,餐饮业的空间分布格局对其具有重要影响.基于2018年昆明市中心城区36891条餐饮兴趣点(point of interest,POI)数据,利用核密度分析、局域Getis-OrdG*i指数法和地理加权回归模型,研究昆明餐饮业的空间分布格局、餐饮活动热点区域及其空间分布影响因素.结果表明:昆明餐饮业空间分布不均衡,初步形成多中心发展的空间分布格局;显著性热点连片集聚于“老城区”,新城区还未形成传统意义上的餐饮热点;住宅小区数量对餐饮业分布影响程度大于公交站点数量与学校数量,对餐饮业分布均存在一定促进作用.传统“老城区”与新城区之间餐饮业发展差异明显,餐饮业布局还需进一步引导与发展.
基金The National Natural Science Foundation of China(41701620)The Industrial Fusion Technology Demonstration Base for Rural Revitalization(SCKJ004)The Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(2019QZKK1002).
文摘Affected by factors such as the city’s functional orientation and tourism consumption, the spatial layout of the catering industry in a tourism city has its own distinctive characteristics. The spatial distribution characteristics of the catering industry and the factors impacting it(from the perspectives of transportation, tourism resources and population) in the main city area of Lhasa, Tibet were analysed through point of interest data mining, average nearest neighbour analysis, a standard deviational ellipse, kernel density estimation, and buffer analysis in ArcGIS software. As a result, the spatial distribution pattern showed catering providers are mainly aggregated in the vicinity of areas with either developed transportation or rich tourism resources. The resident population has an important but inconclusive influence on the distribution, while the distribution of its concentration is highly consistent with that of the instant population. Considering the spatial structure, functional orientation, and tourism development of the area, measures are proposed for optimizing the spatial layout of the catering industry in this tourism-heavy plateau city.
文摘餐饮业的空间分布格局对于西安作为旅游城市的空间发展具有重要影响。基于2020年西安中心城区餐饮行业兴趣点(point of interest, POI)数据,利用核密度分析、局域GetisOrd G*i指数法和地理加权回归模型,研究西安市中心城区餐饮业的空间分布格局、餐饮活动热点区域及其空间分布影响因素。结果表明:西安餐饮业空间分布不均衡,形成“一核多点,连片发展”的空间分布格局;各类型餐饮设施分布特征与总体分布特征类似,但设施间略显差异;“老城区”与新城区之间餐饮中心差异明显;餐饮设施的空间分布受交通、人口、经济、历史等因素的影响,其中经济发展水平的影响程度最深。
