Introduction
Sarah Bretschneider
Chapter Chapter 1 in Mathematical Models for Evacuation Planning in Urban Areas, 2012, pp 1-16 from Springer
Abstract:
Abstract The population of an urban area may be in danger due to natural or man-made disasters like floods, hurricanes, chemical or nuclear accidents. This requires decisions to protect health and lives of the affected population. A measure to protect the population may be the evacuation of the affected area. Congested urban areas have usually complex street networks that are composed of many intersections with streets which connect them. There are various types of intersections and the streets consist of differing numbers of lanes. The population density of a congested urban area is usually high and the street network is already used to capacity during rush hour traffic. The basic idea is to reorganize the traffic routing of an urban area for the case of an emergency mass evacuation such that aspects of the evacuation like safety, avoidance of delays and/or the total system travel time are taken into account. In this work, the reorganization of the traffic routing will be modeled and solved with tools of mathematical programming.
Keywords: Street Network; Street Segment; Evacuation Time; Super Node; Network Flow Model (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-28759-6_1
Ordering information: This item can be ordered from
http://www.springer.com/9783642287596
DOI: 10.1007/978-3-642-28759-6_1
Access Statistics for this chapter
More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().