| Health is the eternal goal that people pursue.As an important part of public servicefacilities,hospitals not only affect people’s physical health,but also affect people’s living standard.This paper guided by the spatial topological structure theory,using Kernel Density Estimation,Space Syntax and other related methods with the help of Depthmap,ArcGIS,and SPSS software to explore the spatial distribution pattern,spatial accessibility of hospitals,and its relevance with population density in Wuhan.The main contents include the following aspects:(1)The distribution of hospitals in Wuhan varies greatly among different intervals,and the phenomenon of "piling up" is prominent.The hospitals mainly concentrates in the central districts such as Hongshan district,Wuchang district,and Qiaokou district.Among them,the agglomeration of Baofeng,Ronghua,Liujiaoting,and Hanzheng streets in the east of Qiaokou district are the most obvious.There are large areas of hospital vacancies outside the downtown area,and there are even no high-level hospitals in individual jurisdictions.In terms of classification,First-Grade hospitals are mainly distributed from first traffic line to the third;Second-Grade hospitals are mainly distributed outside the second traffic line;Third-Grade hospitals are mainly distributed in the area from first traffic line to second;Outpatient hospitals are mainly distributed in areas outside the third traffic line.(2)The global accessibility of hospitals in Wuhan is low,but relative to its traffic roads’ accessibility,its accessibility level is high,the location of hospitals is superior.The global accessibility mean of hospitals is 0.2687,which is higher than the average global accessibility of the road(0.2032),among them,Huangpi district’s hospital have the highest global accessibility(0.2920)and Hannan district have the lowest(0.2012).In terms of classification,Third-Grade hospitals have the highest global accessibility(0.2777),followed by First-Grade hospitals(0.2703),outpatient hospitals(0.2662),and Second-Grade hospitals(0.2640).(3)The local accessibility of hospitals in Wuhan is very high,and the local hospital area is extremely advantageous.The local accessibility mean of hospitals is 1.9328,which is higher than the average local accessibility of the road(1.2271),among them,Qingshan district’s hospital have the highest local accessibility(2.2775)and Caidian district have the lowest(1.6007).In terms of classification,Third-Grade hospitals have the highest local accessibility(2.0012),followed by First-Grade hospitals(1.9703),Second-Grade hospitals(1.8950),and outpatient hospitals(1.8921).(4)The perceptive accessibility of hospitals in Wuhan is also very high,the roads around the hospitals can help people perceive the distribution of hospitals throughout the road network.The perceptive accessibility mean of hospital is 0.7402,which is higher than the average perceptive accessibility of the road(0.3761),among them,Hanyang district’s hospitals have the highest perceptive accessibility(0.8480)and Hannan district have the lowest(0.4749).In terms of classification,Second-Grade hospitals have the highest perceptive accessibility(0.7733),followed by Third-Grade hospitals(0.7380),outpatient hospitals(0.7318),and First-Grade hospitals(0.7311).(5)The spatial distribution of hospitals in Wuhan is relatively reasonable,the number and accessibility of hospitals are highly related to population density.In places with high population density,there are more quantity and higher accessibility of hospital.The correlation coefficient between the number of hospitals and population density is 0.8581.The correlation is very strong,in places with high population density,the number of hospitals is also relatively high.The correlation coefficient between the three accessibility of the hospital and the population density is above 0.8.In areas with high population density,hospital accessibility is also high,the distribution of the hospital site meets the requirements of serving as many people as possible,making the hospital layout more reasonable in spatial topology. |