Bibliographic Details
| Title: |
Assessing the impact of fixed speed cameras on speeding behavior and crashes: A longitudinal study in New York City |
| Authors: |
Jingqin Gao, Di Yang, Chuan Xu, Kaan Ozbay, Smrithi Sharma |
| Source: |
Transportation Research Interdisciplinary Perspectives, Vol 30, Iss , Pp 101373- (2025) |
| Publisher Information: |
Elsevier, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Transportation and communications |
| Subject Terms: |
Automated speed enforcement program, Speed camera, Speeding behavior, Clustering analysis, Survival analysis with random effect, Transportation and communications, HE1-9990 |
| More Details: |
Speeding is a leading contributor to fatal crashes. This longitudinal study examines the short- and long-term changes associated with an automated speed enforcement program’s expansion from 2019 to 2021 in New York City, including the COVID-19-induced surge on speeding behaviors and the complex nature of high volumes of pedestrians and non-motorized vehicles. Leveraging speeding tickets from 1,821 fixed speed cameras in school zones and crash data, this study employs interrupted time-series, spatial distribution, clustering analysis, and Survival Analysis with a random effect (SARE) to investigate if such a program brings about immediate and/or long-term change in speeding behaviors and crash reduction. The findings suggest a decrease in speeding tickets by an average of 18.4 %, 13.3 %, and 0.6 % in the second-, third- and fourth-month post-installation, demonstrating the program’s short-term efficacy in reducing speeding behavior. However, diminishing and time-lag effects were observed at some camera locations, indicating the need for further investigation and potential alternative safety interventions at these sites. Long-term analysis revealed a substantial 75 % reduction in speeding tickets by the end of 2021, despite a temporary surge during the pandemic. Four different long-term patterns were identified. Furthermore, crash analysis showed a statistically significant 14 % decrease in traffic crashes (pre-COVID) following speed camera implementation. Overall, the program has been largely successful in reducing speeding violations and traffic crashes, but its temporal effect varies across sites. Continuous monitoring, data-led adaptive strategies, and additional safety countermeasures are needed to optimize the program’s impact. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2590-1982 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2590198225000521; https://doaj.org/toc/2590-1982 |
| DOI: |
10.1016/j.trip.2025.101373 |
| Access URL: |
https://doaj.org/article/81efb135edcf4dfbb3bb3d1402ffd101 |
| Accession Number: |
edsdoj.81efb135edcf4dfbb3bb3d1402ffd101 |
| Database: |
Directory of Open Access Journals |
