Determination of overlapping crime and collision hotzones for focused law enforcement-Reference-Cited by-同舟云学术

Determination of overlapping crime and collision hotzones for focused law enforcement

Published:2019-03-22 Issue:10 Volume:12 Page:1231-1251
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Oluwajana Seun Daniel¹,Takyi Emmanuel A.²,Park Peter Y.¹^ORCID

Affiliation:

1. Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, Ontario, Canada;

2. Engineering Technologist, BC Ministry of Transportation & Infrastructure, Victoria, British Columbia, Canada

Funder

Saskatchewan Government Insurance

Regina Police Service, Saskatchewan Centre of Excellence for Transportation and Infrastructure

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2019.1580327

Reference89 articles.

1. Spatial analysis of fatal and injury crashes in Pennsylvania

2. The effect of variations in spatial units on unobserved heterogeneity in macroscopic crash models

3. Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis

4. Anderson, J. M., MacDonald, J. M., Bluthenthal, R. & Ashwood, J. S. (2013). Reducing crime by shaping the built environment with zoning: An empirical study of Los Angeles (699–756). Pennsylvania: University of Pennsylvania Law Review.

5. Crime Measures and the Spatial Analysis of Criminal Activity

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