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Citation |
Xie K, Ozbay K, Yang H. Accid. Anal. Prev. 2015; 74: 77-86. |
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Affiliation |
Department of Civil and Urban Engineering, New York University, Brooklyn, NY, United States; Center for Urban Science and Progress (CUSP), New York University, Brooklyn, NY, United States; Urban Mobility and Intelligent Transportation Systems (UrbanMITS) Laboratory, New York University, Brooklyn, NY, United States. Electronic address: hong.yang@nyu.edu. |
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Copyright |
(Copyright © 2015, Elsevier Publishing) |
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DOI |
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PMID |
25463947 |
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Abstract |
The objectives of this study are (1) to develop an incident duration model which can account for the spatial dependence of duration observations, and (2) to investigate the impacts of a hurricane on incident duration. Highway incident data from New York City and its surrounding regions before and after Hurricane Sandy was used for the study. Moran's I statistics confirmed that durations of the neighboring incidents were spatially correlated. Moreover, Lagrange Multiplier tests suggested that the spatial dependence should be captured in a spatial lag specification. A spatial error model, a spatial lag model and a standard model without consideration of spatial effects were developed. The spatial lag model is found to outperform the others by capturing the spatial dependence of incident durations via a spatially lagged dependent variable. It was further used to assess the effects of hurricane-related variables on incident duration. The results show that the incidents during and post the hurricane are expected to have 116.3% and 79.8% longer durations than those that occurred in the regular time. However, no significant increase in incident duration is observed in the evacuation period before Sandy's landfall. Language: en |