Eyes on the Streets: Leveraging Street-Level Imaging to Model Urban Crime Dynamics

Zhixuan Qi, Huaiying Luo, Chen Chi
4/15/2024
cs.CV

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

This study addresses the challenge of urban safety in New York City by examining the relationship between the built environment and crime rates using machine learning and a comprehensive dataset of street view images. We aim to identify how urban landscapes correlate with crime statistics, focusing on the characteristics of street views and their association with crime rates. The findings offer insights for urban planning and crime prevention, highlighting the potential of environmental design in enhancing public safety.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach

84% match2025

Revisiting Broken Windows Theory

83% match2025

Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems

82% match2024

STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction

81% match1 repo82023

A Digital Shadow for Modeling, Studying and Preventing Urban Crime

80% match2025

Transport-Related Surface Detection with Machine Learning: Analyzing Temporal Trends in Madrid and Vienna

80% match2025

Cite this paper

@article{qi2024eyes,
  title  = {Eyes on the Streets: Leveraging Street-Level Imaging to Model Urban Crime Dynamics},
  author = {Zhixuan Qi and Huaiying Luo and Chen Chi},
  year   = {2024},
  eprint = {2404.10147},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.10147v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2404.10147.svg)](https://codeofpaper.com/paper/2404.10147)

Discussion