Recovery times for highway disruptions due to natural hazard events
基于加拿大不列颠哥伦比亚省高速公路中断数据，用比例风险模型分析洪水、野火、滑坡和雪崩等灾害的恢复时间，发现洪水恢复最慢、雪崩最快，偏远地区中断更长，为交通系统韧性提供实证依据。
We present an empirical study of recovery times from disruptions due to natural hazards and extreme events on the highway system of British Columbia, Canada. Data was obtained from archives of the DriveBC traveller information system. We estimated a proportional hazard model to model recovery rates and ascertain the effects of key factors on recovery rate. The recovery rate for disruptions due to flooding is slowest, avalanche is fastest, and those for wildfires and landslides are similar. Geographic variations were indicated, with longer disruptions observed in more remote regions. Disruptions involving full roadway closure showed longer recovery rates. This study provides empirically-based insights towards improved mitigation of future highway disruptions due to natural hazard events. Given the relatively widespread existence of traveller information systems throughout North America, our analysis approach can be applied to understand transportation system recovery times for, and resilience against, disruptive events of concern in these jurisdictions.