Safe Streets for All? Analyzing Infrastructural Response to Pedestrian and Cyclist Crashes in New York City, 2009–2018. Issue 2 (February 2019)

• Record Type: Journal Article
• Authors: Rebentisch, Hannah; Wasfi, Rania; Piatkowski, Daniel P.; Manaugh, Kevin
• Is Part Of: Transportation research record. Volume 2673:Issue 2(2019)
• Page Start: 672
• Page End: 685
• Publication Date: 2019-02
• Subjects: Transportation -- Periodicals; Roads; Transport -- Périodiques; Routes -- Périodiques; Routes -- Conception et construction -- Périodiques; Roads; Transportation; 388.05
• DOI: 10.1177/0361198118821672
• Languages: English
• ISSNs: 0361-1981

Abstract

Although cycling and walking carry a host of benefits, neither the benefits nor the risks—those of injury and fatality—are equitably distributed. Although research has shown higher income and gentrified areas have better access to protected bicycle infrastructure, low-income and communities of color are overrepresented in severe injury and fatality rates among cyclists and pedestrians. This research employs temporal, spatial, and socio-economic data to study the distribution of cycling infrastructure and safety improvements in New York City between income groups and boroughs. The integration of temporal data representing pedestrian and cyclist injury and fatality, and infrastructure installation date, point toward the establishment of time trends in the relationship between traffic violence and safety investment. Socio-economic factors are analyzed to see how this relationship and access more generally are related to income. We observed that lower-income groups continue to be overrepresented in crashes across New York's boroughs, with the exception of Manhattan, and although crash rates have fallen in the years since 2009, these gains do not improve the position of lower-income groups, which continue to experience a disproportionate share of fatalities and injuries. However, longitudinal multi-level logistic models controlling for reported pedestrian and cyclist injuries in previous years uncovered additional relationships between socio-economic status, injuries, location, and safety investment. For example, the implementation of safety improvements and speed humps are significantly related to reported injuries in previous years; this finding supports the city's stated goals of targeting improvements to areas most in need of improved safety for vulnerable road users.