Modeling and Impact of Social Dimensions of Slum on Crime (Case Study: Kashan Slums)
Subject Areas : Urban and Regional Planning StudiesMohsen Shaterian 1 * , Rasol Heidary Soreshjani 2 , Kamran Dowlatyarian 3
1 - Professor, Geography and Urban Planning, University o Kashan, Kashan, Iran
2 - Assistance Professor, Geography and Urban Planning, University of Kashan, Kashan, Iran
3 - MS, Geography and Urban Planning, University of Kashan, Kashan, Iran
Keywords: t-test, Kashan city, structural equation modeling, Rationalization, Social Crime,
Abstract :
Marginalization as one from problems urban and under the effect put to give Security social and provide to make substrate mass always you notice authorities urban and organizations respective been, target research present check and analysis factors effective on occurrence crimes social at areas marginalized city Kashan is. Method research - descriptive analytical is. Volume sample with use from soft the software sample power with level assurance 95 % and error probable 5 % 160 people (Household) consumption. Became that contains areas stagnant pump a farmer vazargah The neighbourhood arabs and township twenty two avalanche you can Be. To analysis descriptive and stan abaty Data from Test statistical T-Test At application SPSS and direction explaining and modeling effects also from modeling equations structural at application amos use respectively. Results the result from Test T marker meaningful to be effects social, with occurrence mass at area marginalized is. Analysis findings the result from modeling equations structural expresses This is that from among indices investigating it indicator Illiteracy and low literacy the most bar factor take with weight regression (97/0) at occurrence crimes to yourself assign data Is. After that base family with weight regression (0.95) at ratings second put has it and two variable unemployment and addiction for common with weight regression (0.85) at place third and fourth put have and finally factor lack of feeling belonging with weight regression (0.88) in rating fifth Put has it