Crime Prediction Using GIS and Statistical Modelling: A Study on Crime Against Women in West Bengal (SpringerBriefs in GIS) - Softcover

Biswas, Priyanka; Das Chatterjee, Nilanjana

Softcover

ISBN 10: 3031814479 ISBN 13: 9783031814471

Verlag: Springer, 2025

Inhaltsangabe

The study presented in this SpringerBrief uses GIS tools to analyze incidents of violence against women in West Bengal India, identifying “hotspots” and offering tools and strategies to predict and prevent future violence. The aim of this study is to understand the existing scenarios and the complex crime patterns committed against women in West Bengal, using advanced GIS tools to map and understand the underlying socio-economic and physical environmental contexts of specific crime events, and critically discussed emerging criminogenic issues on the basis of theoretical understanding and immediate situations.

 

This study evaluates the effectiveness of existing legislative measures to extract the gaps that exist between policy formulation and execution and effectively applied statistical methods and GIS technologies to visualize the future potential crime areas so that possible measures might be taken. The study considers four categories of violence perpetrated on women: human trafficking, acid attacks, rape and sexual harassment. Each chapter follows a self-contained design to address the study objectives as each crime follows distinct crime pattern, differentially affects the targets and increase risk of victimization and differential key factors are responsible for specific crime occurrences.

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Über die Autorin bzw. den Autor

Dr. Priyanka Biswas is a senior research scholar in the Department of Geography, Vidyasagar University, West Bengal, India. Her areas of research interest are criminological studies especially crime against women, urban environment and crime, and statistical modelling. She emphasizes multidisciplinary efforts to visualize the crime scenarios and evaluate policy-level change to make society crime-free

 

Prof. Nilanjana Das Chatterjee is a professor and head of the Department of Geography, Vidyasagar University, Midnapore, West Bengal, India. Her principal areas of research interest are environmental studies, criminological studies, criminal psychology, and associated socio-economic milieu. She emphasizes to use evaluation strategies to develop community level awareness and support policy-level change to enhance the quality of society.

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The study presented in this SpringerBrief uses GIS tools to analyze incidents of violence against women in West Bengal India, identifying “hotspots” and offering tools and strategies to predict and prevent future violence. The aim of this study is to understand the existing scenarios and the complex crime patterns committed against women in West Bengal, using advanced GIS tools to map and understand the underlying socio-economic and physical environmental contexts of specific crime events, and critically discussed emerging criminogenic issues on the basis of theoretical understanding and immediate situations.

 

This study evaluates the effectiveness of existing legislative measures to extract the gaps that exist between policy formulation and execution and effectively applied statistical methods and GIS technologies to visualize the future potential crime areas so that possible measures might be taken. The study considers four categories of violence perpetrated on women: human trafficking, acid attacks, rape and sexual harassment. Each chapter follows a self-contained design to address the study objectives as each crime follows distinct crime pattern, differentially affects the targets and increase risk of victimization and differential key factors are responsible for specific crime occurrences.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 3031814479
• ISBN 13: 9783031814471
• Einband: Taschenbuch
• Anzahl der Seiten: 98
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland