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Exploring The Impact Of Land Use On Women Safety In The Context Of Smart City

Posted on:2020-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:J W ChangFull Text:PDF
GTID:2417330590987264Subject:Agricultural resource utilization
Abstract/Summary:PDF Full Text Request
The classification of land use types is inseparable from the activities and perceptions of people on the corresponding land and the impact of these activities on the surrounding environment.Women safety has become a hot topic in recent years,and women are more sensitive to social security than men.In the context of the development of smart cities,the use of smart devices make people's Quality of Life(QoL)become better,and safety is a dimension of QoL.However,there are insufficient research to quantify safety by combining the impact of land use types and women's perception of environmental security.Therefore,this study explore the impact of land uses on crime based on the number of crime cases and distribution of crime hot spots.In addition,combining the quantitative results of women's perceptions of safety,this research also analyse the relationship between women's perceptions of safety and land uses.Generally,the research aims to provide references for measures proposed to build a safer smart city and to improve women's safety when they travel outside.Firstly,this study used Kernel Density Estimation to present theft and violence crime hotspots in study areas.And combining with the current land use of study areas,the relationship between crime hotspots and the land uses was preliminarily analysed.Then,according to other literatures,two public spaces(Xi'an railway station and Luomashi shopping street)were selected in the study area.And semi-structured interview and quantitative text analysis were applied to obtain women's perceptions of safety and smart safety devices in public spaces.Finally,building Geographical Weighted Poisson Regression model(GWPR)to analyse the impact of different land use on the number of crime case cases.Commercial and services land,land for public administration and public services,residential land,land for special use,industrial land were selected as explanatory variables,number of cases in each unit net as the dependent variable.Then combining with women's perceptions of safety,this research further explore the impact of land use on women's sense of security.The research results show that:(1)Theft crime hotspots were mainly surrounded by commercial and service land.Violence crime hotspots were mainly covered on commercial and service land and residential land.(2)Participants felt safer in Luomashi shopping street,even though this public space was in the hot spot of theft crime and adjacent to the hot spot of violent crime.While most participants in Xi'an station kept a neutral positive on feeling of safety,even though the station was neither a hot spot of theft nor a hot spot of violent crime.(3)There is no statistical significance between awareness of smart surveillance devices and improvement of feeling of safety.(4)The commercial and service land has a positive correlation with the number of theft crimes and violent crimes;Residential land and special use land are negatively correlated with the number of theft and violent crimes.Public administration and public service land have positive correlation with theft crime,but negative correlation with violent crime.The overall trend of the influence of industrial land on the number of theft crimes and violent crimes is not obvious.(5)Although the commercial and service land can induce crime,it is unlikely to make women feel less safe in public places.Special land and residential land areas are unlikely to induce crimes and have vague influence on women's sense of security;the area of public administration and public service land may induce theft crime but is unlikely to induce violent crime and has a positive correlation with women's sense of security.The influence of industrial and mining storage land on the number of crimes changes with the change of location and the influence on women's sense of security is positively correlated.
Keywords/Search Tags:Land Use, Women Safety, Kernel Density Estimation, Geographically Weighted Poisson Regression
PDF Full Text Request
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