Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre,, Vinit Katariya, Gordon Hull, Shannon Reid, Hamed Tabkhi

TL;DR
This survey study investigates public perceptions of safety and surveillance technology in Charlotte, NC, revealing demographic differences in concerns and attitudes towards AI-driven solutions through statistical analysis of survey data.
Contribution
It provides new insights into demographic variations in public safety concerns and perceptions of surveillance and AI solutions in an urban community.
Findings
Younger females trust surveillance but feel less secure.
Older, educated individuals worry about mall violence.
Support for AI surveillance varies by ethnicity and education.
Abstract
Addressing public safety effectively requires incorporating diverse stakeholder perspectives, particularly those of the community, which are often underrepresented compared to other stakeholders. This study presents a comprehensive analysis of the community's general public safety concerns, their view of existing surveillance technologies, and their perception of AI-driven solutions for enhancing safety in urban environments, focusing on Charlotte, NC. Through a survey approach, including in-person surveys conducted in August and September 2023 with 410 participants, this research investigates demographic factors such as age, gender, ethnicity, and educational level to gain insights into public perception and concerns toward public safety and possible solutions. Based on the type of dependent variables, we utilized different statistical and significance analyses, such as logit…
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Taxonomy
TopicsCrime Patterns and Interventions · Privacy, Security, and Data Protection
