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Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation

Year 2014, Volume: 4 Issue: 2, 17 - 33, 23.07.2016

Ali Vaezi Misagh Ketabdari Giovanna Marchionni

Abstract

This paper concentrates on evacuation procedure as a risk mitigation measure for managing and coping with emergency due to flood hazard. Emergency Management has been known as an ever-growing area of academic research in the recent decades. Particularly, Emergency Planning ahead of threatening events is crucial for moving toward a resilient society. Effective implementation of Emergency Contingency Plans during the situation of real Risk Scenarios is mainly a matter of situation awareness, cooperation and collaboration of involved organizations, timely decision-making under stressful circumstances, and availability of resources. Having defined a plan for evacuation operations as a protective measure is necessary for reduction of risk consequences to exposed population. This paper presents partial evacuation time estimations related to vehicle movement time by two methods applied to a case study (San Rocco al Porto, Italy) due to flood event: Time is estimated as a result of modeling by Mesoscopic approach. Second, the “timeline of emergency response for flood evacuation” proposed by Steve Opper is used as a quick handy method to estimate vehicle movement time

Keywords

Emergency Planning Evacuation Time Estimates Transport Management Zoning Flood

References

  • Burghout, Wilco. (2005). "Mesoscopic simulation models for short-term prediction." PREDIKT project report CTR2005 3.
  • Chiu, Yi-Chang, and Hong Zheng. (2007). "Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: Model formulation and solution." Transportation Research Part E: Logistics and Transportation Review 43, no. 6: 710-736.
  • Chiu Y., Zheng H. (2006). Real-time mobilization decisions for multi-priority emergency responce resources and evacuation groups: Model formulation and sollution, pp. 710,712.
  • Dell’Orco, Mauro. (2006). "A dynamic network loading model for mesosimulation in transportation systems." European journal of operational research 175, no. 3: 1447-1454.
  • FEMA. (2007). Principles of Emergency Management Supplement. Lindell, Michael K. (2008)."EMBLEM2: An empirically based large scale evacuation time estimate model." Transportation Research Part A: Policy and Practice 42, no. 1: 140-154.
  • Lindell, Michael K., and Carla S. Prater. (2007). "Critical behavioral assumptions in evacuation time estimate analysis for private vehicles: Examples from hurricane research and planning." Journal of Urban Planning and Development 133, no. 1: 18-29.
  • Lindell, Michael K., Carla S. Prater, and Jie Ying Wu. (2002). Hurricane evacuation time estimates for the Texas Gulf Coast. Hazard Reduction & Recovery Center, Texas A & M University.
  • Litman, Todd. (2006). "Lessons from Katrina and Rita: What major disasters can teach transportation planners." Journal of Transportation Engineering 132, no. 1: 11-18.
  • Opper, Steve. (2004). The application of timelines to evacuation planning. SES.
  • Opper ESM, Stephen, Peter Cinque OAM, and Belinda Davies. (2010). "Timeline modelling of flood evacuation operations." Procedia Engineering 3. 175-187.
  • Perry, Ronald W., and Michael K. Lindell. (2003). "Preparedness for emergency response: guidelines for the emergency planning process." Disasters 27, no. 4 : 336-350.
  • Raggi, Meri; Davide Ronchi; Laura Sardonini; Davide Viaggi. (2007). Po Basin Case study status report. AquaMoney. Retrieved 6 April 2009.
  • Schwartz, Peter. (1996). "The Art Of The Long View: Planning For The Future In An Uncertain World Author: Peter Schwartz, Publisher: Currency Doubl." 272.
  • Vorst, Harrie. (2010). "Evacuation models and disaster psychology." Procedia Engineering 3: 15-21.
  • Wolshon, Brian, Elba Urbina, and Marc Levitan. (2001). National review of hurricane evacuation plans and policies. Baton Rouge: Louisiana State University Hurricane Center.
  • Zwingle, Erla (May 2002). Italy's Po River Punished for centuries by destructive floods, northern Italians stubbornly embrace their nation's longest river, which nurtures rice fields, vineyards, fisheries—and legends. National
  • Geographic. Retrieved 6 April 2009. http://www.citilabs.com/products/cube/cube-avenue http://www.ses.nsw.gov.au/ http://demo.istat.it/bil2010/index.html http://www.comune.sanroccoalporto.lo.it/home/il-paese/

Year 2014, Volume: 4 Issue: 2, 17 - 33, 23.07.2016

Ali Vaezi Misagh Ketabdari Giovanna Marchionni

Abstract

References

  • Burghout, Wilco. (2005). "Mesoscopic simulation models for short-term prediction." PREDIKT project report CTR2005 3.
  • Chiu, Yi-Chang, and Hong Zheng. (2007). "Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: Model formulation and solution." Transportation Research Part E: Logistics and Transportation Review 43, no. 6: 710-736.
  • Chiu Y., Zheng H. (2006). Real-time mobilization decisions for multi-priority emergency responce resources and evacuation groups: Model formulation and sollution, pp. 710,712.
  • Dell’Orco, Mauro. (2006). "A dynamic network loading model for mesosimulation in transportation systems." European journal of operational research 175, no. 3: 1447-1454.
  • FEMA. (2007). Principles of Emergency Management Supplement. Lindell, Michael K. (2008)."EMBLEM2: An empirically based large scale evacuation time estimate model." Transportation Research Part A: Policy and Practice 42, no. 1: 140-154.
  • Lindell, Michael K., and Carla S. Prater. (2007). "Critical behavioral assumptions in evacuation time estimate analysis for private vehicles: Examples from hurricane research and planning." Journal of Urban Planning and Development 133, no. 1: 18-29.
  • Lindell, Michael K., Carla S. Prater, and Jie Ying Wu. (2002). Hurricane evacuation time estimates for the Texas Gulf Coast. Hazard Reduction & Recovery Center, Texas A & M University.
  • Litman, Todd. (2006). "Lessons from Katrina and Rita: What major disasters can teach transportation planners." Journal of Transportation Engineering 132, no. 1: 11-18.
  • Opper, Steve. (2004). The application of timelines to evacuation planning. SES.
  • Opper ESM, Stephen, Peter Cinque OAM, and Belinda Davies. (2010). "Timeline modelling of flood evacuation operations." Procedia Engineering 3. 175-187.
  • Perry, Ronald W., and Michael K. Lindell. (2003). "Preparedness for emergency response: guidelines for the emergency planning process." Disasters 27, no. 4 : 336-350.
  • Raggi, Meri; Davide Ronchi; Laura Sardonini; Davide Viaggi. (2007). Po Basin Case study status report. AquaMoney. Retrieved 6 April 2009.
  • Schwartz, Peter. (1996). "The Art Of The Long View: Planning For The Future In An Uncertain World Author: Peter Schwartz, Publisher: Currency Doubl." 272.
  • Vorst, Harrie. (2010). "Evacuation models and disaster psychology." Procedia Engineering 3: 15-21.
  • Wolshon, Brian, Elba Urbina, and Marc Levitan. (2001). National review of hurricane evacuation plans and policies. Baton Rouge: Louisiana State University Hurricane Center.
  • Zwingle, Erla (May 2002). Italy's Po River Punished for centuries by destructive floods, northern Italians stubbornly embrace their nation's longest river, which nurtures rice fields, vineyards, fisheries—and legends. National
  • Geographic. Retrieved 6 April 2009. http://www.citilabs.com/products/cube/cube-avenue http://www.ses.nsw.gov.au/ http://demo.istat.it/bil2010/index.html http://www.comune.sanroccoalporto.lo.it/home/il-paese/
There are 17 citations in total.

Details

Other ID JA56GS29GF
Journal Section Articles
Authors

Ali Vaezi This is me

Misagh Ketabdari This is me

Giovanna Marchionni This is me

Publication Date July 23, 2016
Published in Issue Year 2014 Volume: 4 Issue: 2

Cite

APA Vaezi, A., Ketabdari, M., & Marchionni, G. (2016). Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation. TOJSAT, 4(2), 17-33.
AMA Vaezi A, Ketabdari M, Marchionni G. Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation. TOJSAT. July 2016;4(2):17-33.
Chicago Vaezi, Ali, Misagh Ketabdari, and Giovanna Marchionni. “Evacuation Plan As a Risk Mitigation Measure: Scenario - Based Time Estimation of Partial Evacuation Operation”. TOJSAT 4, no. 2 (July 2016): 17-33.
EndNote Vaezi A, Ketabdari M, Marchionni G (July 1, 2016) Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation. TOJSAT 4 2 17–33.
IEEE A. Vaezi, M. Ketabdari, and G. Marchionni, “Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation”, TOJSAT, vol. 4, no. 2, pp. 17–33, 2016.
ISNAD Vaezi, Ali et al. “Evacuation Plan As a Risk Mitigation Measure: Scenario - Based Time Estimation of Partial Evacuation Operation”. TOJSAT 4/2 (July 2016), 17-33.
JAMA Vaezi A, Ketabdari M, Marchionni G. Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation. TOJSAT. 2016;4:17–33.
MLA Vaezi, Ali et al. “Evacuation Plan As a Risk Mitigation Measure: Scenario - Based Time Estimation of Partial Evacuation Operation”. TOJSAT, vol. 4, no. 2, 2016, pp. 17-33.
Vancouver Vaezi A, Ketabdari M, Marchionni G. Evacuation plan as a risk mitigation measure: Scenario - based time estimation of partial evacuation operation. TOJSAT. 2016;4(2):17-33.