Crime Mapping and Analysis Using GIS Techniques in Lideta Sub-city, Addis Ababa, Ethiopia

dc.contributor.advisorMekuriaw (PhD), Asnake
dc.contributor.authorYigzaw, Yeshimar
dc.date.accessioned2019-12-10T08:29:36Z
dc.date.accessioned2023-11-19T12:04:30Z
dc.date.available2019-12-10T08:29:36Z
dc.date.available2023-11-19T12:04:30Z
dc.date.issued2019-06
dc.description.abstractCrime is an act of commission and omission that is prohibited and punishable by law. Crime mapping is not started yet in national level as well as the study area. This study was conducted in Lideta sub-city, Addis Ababa, Ethiopia. The objective of this study was to map property crime and to analyze its pattern and trend. The study employed both quantitative and qualitative approach of data collection and analysis. The study employed explanatory sequential research design. Structured questionnaires and key informant interview guide were administered in data collection. Property crime records were collected from Lideta sub-city police officers. To analyze the property crime in the sub-city, GIS techniques such as interpolation and point map were used. High and low crime areas were identified. From both low and high crime areas 100 respondents were selected from each area by using non-random sampling technique. The key informants selected by using purposive sampling techniques. Secondary data from annual crime report were used and analysis was done by using ArcGIS 10.5 and SPSS version 20 software. The findings indicated that the trend of property crime was being increased through time in Lideta sub-city. The distribution (pattern) of property crime was high in the northern, north-western and central part of the study. Crime severe places are open spaces, commercial centers, hotels, pensions and grocery, roads that have no street light and areas with rivers, streams and waste disposal tubes. The result shows that high crime was committed during day-tour condition. We found that socio-demographic factors such as income, education, participation of the resident in community policing, police patrol, seasonal variation, police tour condition and the time and family status determine the level of property crime committed in the area. Generally, this study will create a new era for police institution about the practice and development of spatial technology. Key words: Crime mapping; Crime analysis; Property crime; Hotspot area; Crime patternen_US
dc.identifier.urihttp://etd.aau.edu.et/handle/12345678/20344
dc.language.isoen_USen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectCrime mapping; Crime analysis; Property crime; Hotspot area; Crime patternen_US
dc.titleCrime Mapping and Analysis Using GIS Techniques in Lideta Sub-city, Addis Ababa, Ethiopiaen_US
dc.typeThesisen_US

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