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Examining the role of urban morphology in impacting the rate of crime against women in Indian cities (Also available on CD)

By: Contributor(s): Material type: TextTextPublication details: 2018Description: iii,ix,118p.,CD-ROMDDC classification:
  • M.Arch TH-0142 KUM
Contents:
CONTENTS Abstract 02 1.Introduction 1.1 Background 05 1.2 Hypothesis 06 1.3 Research question 06 1.4 Aim 06 1.5 Objectives 06 1.6 Need for the study 07 1.7 Scope 07 1.8 Limitations 07 2.Literature Synthesis 08 2.1 Understanding the Basic Fundamentals 09 2.1.1 Introduction 09 2.1.2 What is crime 09 2.1.3 What is City 10 2.1.4 What is Urban Morphoogy 10 2.1.5 The city and Crime 10 2.1.6 Oxymoron of City Life 10 2.1.7 Type of Crime against women 11 2.2 Structure of theories related to the urban planning and crime prevention. 11 2.2.1 Crime Pattern Theory 12 2.2.2 Routine Activity Theory 12 2.2.3 Jane Jacobs - Death and Life of American Cities 12 2.2.4 Oscar Niewman - Defensible Space Theory 13 2.2.5 Crime Prevention through Environmental Design 13 2.2.5.1 Natural Surveillance 14 2.2.5.2 Natural Access Control 14 2.2.5.3 Territoriality 14 2.2.5.4 Target Hardening 14 2.2.5.5 Activity Support 15 2.2.6 Space Syntax 15 2.3 Analytical Framework 16 2.4 Framework 18 2.5 Illustrations of Tools 19 2.5.1 Tools of Space syntax 2.5.1.1 Integration 19 2.5.1.2 Connectivity 19 2.5.1.3 Choice 19 2.5.2 Tools of CPTED 2.5.2.1 Depth of Public and Private 20 2.5.2.2 Street Constitutedness / Adjancency 20 2.5.2.3 Inter visiblity 21 2.5.2.4 Percentage of Fenestrations 21 2.5.2.5 Percentage of Blind Walls 22 3 . Study of the Neighbourhood 24 3.1 Introduction 25 3.2 Nungabakkam 26 3.3 Urban characters 3.3.1 Figure Ground Comparsion 27 3.3.2 Land use pattern 27 3.3.3 Street pattern 29 3.3.4 Housing Characterstics 29 3.4 Physical Factors 30 3.4.1 Build Use 31 3.4.2 Road Connectivity 33 3.4.3 Vegetation 35 3.4.4 Street Light 37 3.5 Crime Pattern 3.5.1 Crime Pattern - Day / Night Hot spots 41 3.5.2 Crime Pattern - Seasonal Hot spots 43 4.Analysis - Macro Level- 50 4.1 Corelation analysis of overall crime with Build use 4.1.1 Analysis of Crime Harrassment with Build use 51 4.1.2 Analysis of Rape Crime with Build use 51 4.1.3 Analysis of Assault Crime with Build use 51 4.1.4 Key Findings 55 4.1.5 Vulnerability zones of the neighbourhood 57 4.2 Corelation analysis of overall crime with Road Connectivity 59 4.2.1 Analysis of Crime Harrassment with Connectivity 59 4.2.2 Analysis of Rape Crime with Road Connectivity 59 4.2.3 Analysis of Assault Crime with Road Connectivity 59 4.2.4 Key Findings 63 4.2.5 Vulnerability zones of the neighbourhood 65 4.3 Corelation analysis of overall crime with Vegetation 67 4.3.1 Analysis of Crime Harrassment with Vegetation 69 4.3.2 Analysis of Rape Crime with Vegetation 69 4.3.3 Analysis of Assault Crime with Road Vegetation .69 4.3.4 Key Findings 71 4.3.5 Vulnerability zones of the neighbourhood 73 4.4 Corelation analysis of overall crime with Street light 75 4.4.1 Analysis of Crime Harrassment with Street light 77 4.4.2 Analysis of Assault Crime with Street light 77 4.4.3 Key Findings 79 4.5 Correlation analysis of overall crime with streelight and vegetation 81 4.6 Correlation analysis of overall crime with streelight and Buildings 83 4.7 Matrix of Correlation analysis of physical ascpects and crime hotspot 85 4.8 Key findings 86 4.9 Vulnerablility Zone 87 4.10 Vulnerability Streets 88 5.Analysis - Micro Level 90 5.1 Introduciton 91 5.2 Space syntax tools 92 5.2.1 Axial Mapping 5.2.2 Connectivity 5.2.3 Integration 5.3 Micro Analysis of Area #1 using CPTED tools 5.3.1 Isovist Analysis 93 5.3.2 Depth Value from Private to Public 94 5.3.3 Street Constitutedness 95 5.3.4 Inner Visiblity 95 5.3.5 Percentage of Fenestration 96 5.3.6 Nature of Edges and Blind Wall 96 5.3.7 Inference 96 5.4 Micro Analysis of Area #2 using CPTED tools 5.4.1 Isovist Analysis 97 5.4.2 Depth Value from Private to Public 98 5.4.3 Street Constitutedness 99 5.4.4 Inner Visiblity 99 5.4.5 Percentage of Fenestration 100 5.4.6 Nature of Edges and Blind Wall 100 5.4.7 Inference 100 5.5 Micro Analysis of Area #2 using CPTED tools 5.5.1 Isovist Analysis 101 5.5.2 Depth Value from Private to Public 102 5.5.3 Street Constitutedness 103 5.5.4 Inner Visiblity 103 5.5.5 Percentage of Fenestration 104 5.5.6 Nature of Edges and Blind Wall 104 5.5.7 Inference 104 6 Conclusion 106 6.1 Conclusion 107 6.2 Inference from Macro Analysis 107 6.2.1 Harrasment in relation to urban Morphology 6.2.2 Rape in relation to Urban morphology 6.2.3 Assault in relation to Urban morphology 6.3 Spatial Factor 108 6.4 Inference from Mirco Analysis 108 7 Appendices 109 7.1 Crime Reports 8 Reference 116
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CONTENTS
Abstract 02
1.Introduction
1.1 Background 05
1.2 Hypothesis 06
1.3 Research question 06
1.4 Aim 06
1.5 Objectives 06
1.6 Need for the study 07
1.7 Scope 07
1.8 Limitations 07
2.Literature Synthesis 08
2.1 Understanding the Basic Fundamentals 09
2.1.1 Introduction 09
2.1.2 What is crime 09
2.1.3 What is City 10
2.1.4 What is Urban Morphoogy 10
2.1.5 The city and Crime 10
2.1.6 Oxymoron of City Life 10
2.1.7 Type of Crime against women 11
2.2 Structure of theories related to the urban planning and crime
prevention. 11
2.2.1 Crime Pattern Theory 12
2.2.2 Routine Activity Theory 12
2.2.3 Jane Jacobs - Death and Life of American Cities 12
2.2.4 Oscar Niewman - Defensible Space Theory 13
2.2.5 Crime Prevention through Environmental Design 13
2.2.5.1 Natural Surveillance 14
2.2.5.2 Natural Access Control 14
2.2.5.3 Territoriality 14
2.2.5.4 Target Hardening 14
2.2.5.5 Activity Support 15
2.2.6 Space Syntax 15
2.3 Analytical Framework 16
2.4 Framework 18
2.5 Illustrations of Tools 19
2.5.1 Tools of Space syntax
2.5.1.1 Integration 19
2.5.1.2 Connectivity 19
2.5.1.3 Choice 19
2.5.2 Tools of CPTED
2.5.2.1 Depth of Public and Private 20
2.5.2.2 Street Constitutedness / Adjancency 20
2.5.2.3 Inter visiblity 21
2.5.2.4 Percentage of Fenestrations 21
2.5.2.5 Percentage of Blind Walls 22
3 . Study of the Neighbourhood 24
3.1 Introduction 25
3.2 Nungabakkam 26
3.3 Urban characters
3.3.1 Figure Ground Comparsion 27
3.3.2 Land use pattern 27
3.3.3 Street pattern 29
3.3.4 Housing Characterstics 29
3.4 Physical Factors 30
3.4.1 Build Use 31
3.4.2 Road Connectivity 33
3.4.3 Vegetation 35
3.4.4 Street Light 37
3.5 Crime Pattern
3.5.1 Crime Pattern - Day / Night Hot spots 41
3.5.2 Crime Pattern - Seasonal Hot spots 43
4.Analysis - Macro Level- 50
4.1 Corelation analysis of overall crime with Build use
4.1.1 Analysis of Crime Harrassment with Build use 51
4.1.2 Analysis of Rape Crime with Build use 51
4.1.3 Analysis of Assault Crime with Build use 51
4.1.4 Key Findings 55
4.1.5 Vulnerability zones of the neighbourhood 57
4.2 Corelation analysis of overall crime with Road Connectivity 59
4.2.1 Analysis of Crime Harrassment with Connectivity 59
4.2.2 Analysis of Rape Crime with Road Connectivity 59
4.2.3 Analysis of Assault Crime with Road Connectivity 59
4.2.4 Key Findings 63
4.2.5 Vulnerability zones of the neighbourhood 65
4.3 Corelation analysis of overall crime with Vegetation 67
4.3.1 Analysis of Crime Harrassment with Vegetation 69
4.3.2 Analysis of Rape Crime with Vegetation 69
4.3.3 Analysis of Assault Crime with Road Vegetation .69
4.3.4 Key Findings 71
4.3.5 Vulnerability zones of the neighbourhood 73
4.4 Corelation analysis of overall crime with Street light 75
4.4.1 Analysis of Crime Harrassment with Street light 77
4.4.2 Analysis of Assault Crime with Street light 77
4.4.3 Key Findings 79
4.5 Correlation analysis of overall crime with streelight
and vegetation 81
4.6 Correlation analysis of overall crime with streelight
and Buildings 83
4.7 Matrix of Correlation analysis of physical ascpects
and crime hotspot 85
4.8 Key findings 86
4.9 Vulnerablility Zone 87
4.10 Vulnerability Streets 88
5.Analysis - Micro Level 90
5.1 Introduciton 91
5.2 Space syntax tools 92
5.2.1 Axial Mapping
5.2.2 Connectivity
5.2.3 Integration
5.3 Micro Analysis of Area #1 using CPTED tools
5.3.1 Isovist Analysis 93
5.3.2 Depth Value from Private to Public 94
5.3.3 Street Constitutedness 95
5.3.4 Inner Visiblity 95
5.3.5 Percentage of Fenestration 96
5.3.6 Nature of Edges and Blind Wall 96
5.3.7 Inference 96
5.4 Micro Analysis of Area #2 using CPTED tools
5.4.1 Isovist Analysis 97
5.4.2 Depth Value from Private to Public 98
5.4.3 Street Constitutedness 99
5.4.4 Inner Visiblity 99
5.4.5 Percentage of Fenestration 100
5.4.6 Nature of Edges and Blind Wall 100
5.4.7 Inference 100
5.5 Micro Analysis of Area #2 using CPTED tools
5.5.1 Isovist Analysis 101
5.5.2 Depth Value from Private to Public 102
5.5.3 Street Constitutedness 103
5.5.4 Inner Visiblity 103
5.5.5 Percentage of Fenestration 104
5.5.6 Nature of Edges and Blind Wall 104
5.5.7 Inference 104
6 Conclusion 106
6.1 Conclusion 107
6.2 Inference from Macro Analysis 107
6.2.1 Harrasment in relation to urban Morphology
6.2.2 Rape in relation to Urban morphology
6.2.3 Assault in relation to Urban morphology
6.3 Spatial Factor 108
6.4 Inference from Mirco Analysis 108
7 Appendices 109
7.1 Crime Reports
8 Reference 116

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