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Impact of public bus system on spatial burglary patterns in a Chinese urban context
Institution:1. School of Geographic Sciences, Center of Geographic Information Analysis for Public Security, Guangzhou University, China;2. Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA;3. Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;4. Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China;1. Institut für Geographie, Universität Augsburg, D-86159 Augsburg, Germany;2. Indo-German Centre of Sustainability, Indian Institute of Technology Madras, Chennai 600 036, India;3. Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, D-24118 Kiel, Germany;4. Environment and Water Resource Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;1. Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;2. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;3. Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China;4. School of Geography, University of Leeds, Leeds, LS2 9JT, UK;1. College of Forestry, Southwest Forestry University, Kunming, 650224, China;2. College of Mathematics and Physics, Southwest Forestry University, Kunming, 650224, China;3. Institute of Yunnan Biodiversity, Southwest Forestry University, Kunming, 650224, China;4. Southern Aviation Forest Bureau, State Forestry Administration, Kunming, 650021, China;5. College of Geography, Southwest Forestry University, Kunming, 650224, China;6. Department of Geography, University of California, Santa Barbara, CA, 93117, USA;1. Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45221, USA;2. Nelson Institute Center for Sustainability and the Global Environment, University of Wisconsin-Madison, Madison, WI 53706, USA;3. Department of Agronomy, University of Wisconsin-Madison, Madison, WI 53706, USA;4. Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA;5. Department of Civil Engineering, University of Victoria, Victoria, BC, Canada;1. Department of Geography & Geosciences, University of Louisville, 216 Lutz Hall, 2301 S 3rd St, Louisville, KY 40292, USA;2. Department of Justice Administration, University of Louisville, 2301 S 3rd St, 215 Brigman Hall, Louisville, KY 40292, USA
Abstract:PurposeTo examine the impact of public bus system on spatial burglary pattern in a Chinese urban context, as well as the spatial variation of this impact.MethodsLocal Moran's I, boxplot-based classification, geo-visualization, Chi-square test, and correlation analysis are used to explore the spatial coupling relationships between bus stops and burglary. Guided by routine activity approach, negative binomial regressions are performed for the developed and developing parts of the DP peninsula, as well as the whole peninsula based on proxies of potential offenders, guardians, targets, and spatial dependence.ResultsStatistically positive correlations are observed between burglary count and bus stop service capability. However, net of other factors, one more unidirectional bus route is expected to reduce burglary by nearly 2 percent for the whole area, and 4 percent for the developed area, while no statistically significant relationship is found for the developing area.ConclusionsThe bus-burglary relationships differ between the developed and developing urban areas. For the former, although burglaries concentrate around bus stops with higher service capability, the increase of bus service capability has a net impact of slightly depressing the occurrence of burglaries. Four possible mechanisms explaining this negative bus-burglary relationship in the DP peninsula are presented.
Keywords:Bus transit  Spatial burglary pattern  Routine activity approach  Crime generator  Crime geography  China
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