Measuring the Accessibility of Public Service Facilities under the Guidance of Aging-Friendly Demand:A Case Study of Yulin Street in Chengdu City
With the increasing degree of aging,it has become particularly important to explore how public service facilities can spatially accommodate the daily needs of the elderly.This article takes Yulin subdistrict in Chengdu as an example,using kernel density analysis,network analysis,spatial correlation matrix analysis,and inverse distance weighted interpolation analysis to study the spatial distribution characteristics and accessibility of points of interest related to public service facilities for the elderly in Yulin subdistrict.It quantitatively evaluates the spatial layout and walkability of these facilities.The results show that:(1)The spatial layout of various public service facilities for the elderly in Yulin subdistrict is characterized by distribution along commercial centers,major traffic routes,and residential areas;(2)Commercial facilities have overlapping service ranges within accessible areas,primarily due to the concentrated layout of commercial facilities in certain areas,while parks are fewer in number and dispersed,leading to the largest service blind spots;(3)The accessibility of public facilities corresponds closely with the spatial pattern of density distribution.Based on these findings,the article proposes optimization strategies focusing on three aspects:spatial distribution of elderly public service facilities,accessibility characteristics,and service blind spots,including improving the spatial layout of infrastructure,ensuring safe and convenient travel for the elderly,and adding community green spaces.
public service facilitiesaging-friendly designspatial distribution characteristicsaccessibility