基于医疗健康行业在线点评数据，运用多种空间分析方法，研究郑州市主城区医疗健康行业空间布局及在线评价格局特征。结果表明：（1）医疗健康行业综合可达性表现出“中间高，外围低，高值分散连片”的空间特征，不同类型医疗健康行业可达性空间特征不同，综合可达性和多样性高的区域主要位于三环以内的老城区；（2）医疗健康行业在线评价整体不高，其中环境评价优于服务评价，不同类型医疗健康行业在线评价空间格局特征不同，距离市中心越远，各项评分倾向于越低；（3）医疗健康行业综合可达性、多样性及综合评价之间具有较强的空间相关性，区域医疗资源可达性和多样性越高，其在线评价越好，医疗健康行业空间分布与交通和人口分布有重要联系。
Based on the online comments data of medical and health industries, a variety of spatial analysis methods were used to study the spatial layout and online comments pattern characteristics of the medical and health industry in the main urban area of Zhengzhou. The results show that: (1) The comprehensive accessibility of the medical and health industry shows the spatial characteristics of “high in the middle, low in the periphery and high values contiguous scattered”. The spatial characteristics of accessibility of different types of medical and health industries are different. The areas with high comprehensive accessibility and diversity are mainly located in the old urban areas within the Third Ring Road; (2) The online comments of the medical and health industry are not high on the whole, while the environmental evaluation is better than the service evaluation. The spatial pattern characteristics of online comments of diverse types of medical and health industries are different. The farther away from the city center, the lower the scores tend to be; (3) There is a strong correlation between the comprehensive accessibility, diversity and comprehensive evaluation of the medical and health industry in terms of spatial distribution, and the higher the accessibility and diversity of regional medical resources, the better their online evaluation tends to be. The spatial distribution of the medical and health industry is also closely related to the traffic and population distribution.
［1］程敏,连月娇.基于改进潜能模型的城市医疗设施空间可达性：以上海市杨浦区为例［J］.地理科学进展,2018,37(2):266-275.
［2］王建廷,刘雅文.基于GIS的天津市中心城区综合医院空间布局分析［J］.地理与地理信息科学,2018,34(5):25-30.
［3］谷魁英,尔西丁·买买提,胡珊,等.医疗卫生行业大数据应用研究进展［J］.新疆医科大学学报,2015,38(8):1058-1060.
［4］薛冰,李京忠,肖骁,等.基于兴趣点(POI)大数据的人地关系研究综述：理论、方法与应用［J］.地理与地理信息科学,2019,35(6):51-60.
［5］段利鹏,张建波,李诚固,等.基于POI数据的哈尔滨市中心五区商业网点空间格局及影响因素研究［J］.地域研究与开发,2022,41(6):75-80.
［6］张家旗,关小克,王肖惠.郑州市旅游资源空间格局特征及便利度评价［J］.世界地理研究,2022,31(5):998-1008.
［7］冉钊,高建华.大城市医疗健康资源空间演化及其影响因素：以郑州中心城区为例［J］.地域研究与开发,2023,42(2):53-59.
［8］司志杰,尹稚.国际比较视野下的北京医疗资源空间布局探究［J］.城市规划,2020,44(6):47-54.
［9］ZHAO Z Z,DAI S Y,SUN Z,et al.Status Quo and Equity of Health Care Resources Allocation in China from 2016 to 2019:An Empirical Analysis［J］.Science Journal of Public Health,2021,9(3):92-97.
［10］MARGIT S R,GERHARD R D.Distribution of Health Care Resources in Austria：Inequality Assessment of Different Health Care Resources at Different Points in Time［J］.International Journal of Health Services,2020,50(4):418-430.
［11］徐丰,张琦,牛继强,等.基于可达性的郑州市医疗资源空间均等化研究［J］.地域研究与开发,2021,40(5):37-43.
［12］AGBENYO F,NUNBOGU A M,DONGZAGLA A.Accessibility Mapping of Health Facilities in Rural Ghana［J］.Journal of Transport & Health,2017,6:73-83.
［13］曾文,向梨丽,李红波,等.南京市医疗服务设施可达性的空间格局及其形成机制［J］.经济地理,2017,37(6):136-143.
［14］申悦,李亮.年龄分层视角下医疗设施可达性对居民就医行为的影响：以上海市崇明岛为例［J］.人文地理,2021,36(2):46-54.
［15］秦萧,甄峰,朱寿佳,等.基于网络口碑度的南京城区餐饮业空间分布格局研究：以大众点评网为例［J］.地理科学,2014,34(7):810-817.
［16］曹远琳,胡燕霞,秦萧.基于美团网络评价的徐州城区餐饮业空间分布格局［J］.江苏师范大学学报(自然科学版),2016,34(1):19-23.
［17］吕静,徐凯恒,李鲁冰,等.基于餐饮点评数据的长春市商业中心空间效率研究［J］.西部人居环境学刊,2018,33(3):55-60.
［18］翟青,高玉洁,魏宗财.南京市线上-线下餐饮空间分布格局：以大众点评网和饿了么为例［J］.经济地理,2020,40(12):119-127.
［19］王娟,李亚娟,吕丽,等.基于互联网数据的住宿业竞争力及其空间格局：以武汉主城区高端酒店为例［J］.地理科学进展,2018,37(10):1405-1415.
［20］单瑞琦,张松.历史建成环境更新活力评价及再生策略探讨：以上海田子坊、新天地和豫园旅游商城为例［J］.城市规划学刊,2021,262(2):79-86.
［21］卢银桃,侯成哲,赵立维,等.15分钟公共服务水平评价方法研究［J］.规划师,2018,34(9):106-110.
［22］刘正兵,张超,戴特奇.北京多种公共服务设施可达性评价［J］.经济地理,2018,38(6):77-84.
［23］刘合林,郑天铭,聂晶鑫.城市基本公服设施数量与多样性空间配置研究：以武汉市主城区为例［J］.城市规划,2021,45(2):84-91.
［24］马文军,李亮,王奕曾,等.面向健康安全高密度城市治理的社区生活圈体检评估［J］.同济大学学报(自然科学版),2022,50(11):1628-1636.
［25］张家旗,刘晏男,宋斌玢.基于POI数据的郑州市主城区生活服务业空间分布特征研究［J］.世界地理研究,2022,31(2):399-409.
［26］方远平,阎小培,陈忠暖.服务业区位因素体系的研究［J］.经济地理,2008,28(1):44-48.
［27］柳坤,申玉铭.国内外服务业地理研究进展［J］.人文地理,2013,28(1):48-55.
