| contributor author | Teresa M. Adams | |
| contributor author | Kaushik R. Bekkem | |
| contributor author | Edwin J. Toledo-Durán | |
| date accessioned | 2017-05-08T22:02:13Z | |
| date available | 2017-05-08T22:02:13Z | |
| date copyright | November 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29te%2E1943-5436%2E0000458.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/69430 | |
| description abstract | People, industries, and public agencies all face the possibility of sudden events that disrupt their normal activities. Disasters on the transportation network, whether attributable to nature, human error, or human intent, raise awareness of the need for plans of action to quickly restore mobility. Resilience of the transportation network is the capacity to absorb the effects of a disruption and to quickly return to normal operating levels. Resilience measures are useful to evaluate and predict disruptions and recovery and to guide infrastructure investments that protect against those disruptions or that accelerate recovery after a disruption. This paper presents a methodology for estimating two composite resilience measures—reduction and recovery. The method is illustrated by using resilience triangles derived from sampled truck speeds and counts along the Interstate | |
| publisher | American Society of Civil Engineers | |
| title | Freight Resilience Measures | |
| type | Journal Paper | |
| journal volume | 138 | |
| journal issue | 11 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)TE.1943-5436.0000415 | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2012:;Volume ( 138 ):;issue: 011 | |
| contenttype | Fulltext | |
