01620182

Component

https://doi.org/10.3141/2604-02

In recent years, the New York City metropolitan area was hit by two major hurricanes, Irene and Sandy. These extreme weather events disrupted and devastated the transportation infrastructure, including road and subway networks. As an extension of the authors’ recent research on this topic, this study explored the spatial patterns of infrastructure resilience in New York City with the use of taxi and subway ridership data. Neighborhood tabulation areas were used as the units of analysis. The recovery curve of each neighborhood tabulation area was modeled with the logistic function to quantify the resilience of road and subway systems. Moran’s I tests confirmed the spatial correlation of recovery patterns for taxi and subway ridership. To account for this spatial correlation, citywide spatial models were estimated and found to outperform linear models. Factors such as the percentage of area influenced by storm surges, the distance to the coast, and the average elevation are found to affect the infrastructure resilience. The findings in this study provide insights into the vulnerability of transportation networks and can be used for more efficient emergency planning and management.

01629809

17-05336

English

pp 9–18

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460422

Digital/other

Figures (2) ; Maps; References (38) ; Tables (4)

Disaster resilience; Disasters and emergency operations; Emergency management; Hurricanes; Infrastructure; Public transit; Ridership

Hurricane Irene, 2011; Hurricane Sandy, 2012

New York (New York)

Environment; Highways; Planning and Forecasting; Public Transportation; Security and Emergencies

PRP, TRIS, TRB, ATRI

Dec 8 2016 12:06PM

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