A Study of Public Safety in Vadodara

This study aims to evaluate public safety perceptions and street crime patterns in Vadodara, a major city in Gujarat, India. Data was collected from both primary and secondary sources to provide a comprehensive understanding of safety concerns across the city’s four zones: North, East, West, and South. The primary data was obtained through field surveys conducted within these zones, capturing citizen perceptions and experiences related to safety. Secondary data was sourced from the Office of the Commissioner of Police, Vadodara, which provided official records of street crimes over the past four years, categorized zone-wise. The study employed various statistical tools, including Microsoft Excel for data management and visualization, R programming for advanced statistical analysis, and SPSS software for in-depth data interpretation. Findings from the analysis reveal a significant variation in perceived safety between day and night, with the majority of residents reporting a greater sense of security during daylight hours. Furthermore, certain zones displayed higher incidences of street crimes such as theft, chain snatching, and assault, indicating spatial disparities in crime concentration. The study highlights the importance of targeted policing strategies and enhanced night-time surveillance in high-risk areas. These insights can assist local authorities in formulating evidence-based policies to improve urban safety and strengthen community trust in law enforcement.

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Publication Details

Journal
American Journal of Theoretical and Applied Statistics
Published
2025-08-18
DOI
https://doi.org/10.11648/j.ajtas.20251404.16
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
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article

A Study of Public Safety in Vadodara

Sheila Cherono, Frasiah Kariuki
American Journal of Theoretical and Applied Statistics
COVID-19 Pandemic Impacts
article

A Study of Public Safety in Vadodara

Sheila Cherono, Frasiah Kariuki
article en

Abstract

This study aims to evaluate public safety perceptions and street crime patterns in Vadodara, a major city in Gujarat, India. Data was collected from both primary and secondary sources to provide a comprehensive understanding of safety concerns across the city’s four zones: North, East, West, and South. The primary data was obtained through field surveys conducted within these zones, capturing citizen perceptions and experiences related to safety. Secondary data was sourced from the Office of the Commissioner of Police, Vadodara, which provided official records of street crimes over the past four years, categorized zone-wise. The study employed various statistical tools, including Microsoft Excel for data management and visualization, R programming for advanced statistical analysis, and SPSS software for in-depth data interpretation. Findings from the analysis reveal a significant variation in perceived safety between day and night, with the majority of residents reporting a greater sense of security during daylight hours. Furthermore, certain zones displayed higher incidences of street crimes such as theft, chain snatching, and assault, indicating spatial disparities in crime concentration. The study highlights the importance of targeted policing strategies and enhanced night-time surveillance in high-risk areas. These insights can assist local authorities in formulating evidence-based policies to improve urban safety and strengthen community trust in law enforcement.

American Journal of Theoretical and Applied StatisticsVol. 14(4)
Maharaja Sayajirao University of Baroda (IN)
Openalex Percentile: Top 70%
COVID-19 Pandemic Impacts
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