Evacuation time estimate for total pedestrian evacuation using a queuing network model and volunteered geographic information
| Autor: | Bharat Kunwar, Filippo Simini, Anders Johansson |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
FOS: Computer and information sciences
Volunteered geographic information Physics - Physics and Society Time Factors Operations research Population FOS: Physical sciences Poison control Physics and Society (physics.soc-ph) Pedestrian 01 natural sciences Bottleneck 010305 fluids & plasmas 0502 economics and business 0103 physical sciences Journal Article Computer Science - Multiagent Systems Mean flow education Pedestrians 050210 logistics & transportation education.field_of_study Geography Node (networking) Research Support Non-U.S. Gov't 05 social sciences Models Theoretical Catchment area Emergencies Multiagent Systems (cs.MA) |
| Zdroj: | Kunwar, B, Simini, F & Johansson, A 2016, ' Evacuation time estimate for total pedestrian evacuation using a queuing network model and volunteered geographic information ', Physical Review E, vol. 93, no. 3, pp. 032311 . https://doi.org/10.1103/PhysRevE.93.032311 |
| ISSN: | 2470-0053 |
| DOI: | 10.1103/PhysRevE.93.032311 |
| Popis: | Estimating city evacuation time is a non-trivial problem due to the interaction between thousands of individual agents, giving rise to various collective phenomena, such as bottleneck formation, intermittent flow and stop-and-go waves. We present a mean field approach to draw relationships between road network spatial attributes, number of evacuees and resultant evacuation time estimate (ETE). We divide $50$ medium sized UK cities into a total of $697$ catchment areas which we define as an area where all agents share the same nearest exit node. In these catchment areas, 90% of agents are within $5.4$ km of their designated exit node. We establish a characteristic flow rate from catchment area attributes (population, distance to exit node and exit node width) and a mean flow rate in free-flow regime by simulating total evacuations using an agent based `queuing network' model. We use these variables to determine a relationship between catchment area attributes and resultant ETE. This relationship could enable emergency planners to make rapid appraisal of evacuation strategies and help support decisions in the run up to a crisis. Comment: 6 pages, 8 figures |
| Databáze: | OpenAIRE |
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