LEADER 03812nam 2200673Ia 450 001 9910438081803321 005 20200520144314.0 010 $a1-283-62696-9 010 $a9786613939418 010 $a3-642-28759-X 024 7 $a10.1007/978-3-642-28759-6 035 $a(CKB)2560000000090931 035 $a(EBL)994207 035 $a(OCoLC)802338165 035 $a(SSID)ssj0000746039 035 $a(PQKBManifestationID)11489084 035 $a(PQKBTitleCode)TC0000746039 035 $a(PQKBWorkID)10862532 035 $a(PQKB)10466535 035 $a(DE-He213)978-3-642-28759-6 035 $a(MiAaPQ)EBC994207 035 $a(PPN)168312778 035 $a(EXLCZ)992560000000090931 100 $a20120731d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMathematical models for evacuation planning in urban areas /$fSarah Bretschneider 205 $a1st ed. 2013. 210 $aBerlin ;$aNew York $cSpringer Science+Business Media$d2012 215 $a1 online resource (208 p.) 225 1 $aLecture notes in economics and mathematical systems,$x0075-8442 ;$v659 300 $aDescription based upon print version of record. 311 $a3-642-28758-1 320 $aIncludes bibliographical references. 327 $aIntroduction -- Literature Review -- An Urban Evacuation Problem -- A Relaxation-Based Heuristic Approach for the Mixed-Integer Evacuation Model -- A Pattern-Based Evacuation Planning Model for Urban Areas -- A Two-Staged Heuristic Approach -- A Multicommodity Urban Evacuation Problem -- A Four-Staged Heuristic Approach to Solve the Urban Multicommodity Model -- Conclusions and Future Research -- Information About the Computational Study of the Relaxation-Based Approach. 330 $aDisasters like floods, hurricanes, chemical or nuclear accidents may cause the necessity to evacuate the affected area. The evacuation of  the urban area needs to be planned carefully. One issue is the reorganization of the traffic routing. Congested urban areas  have usually complex street networks that are composed of many intersections with streets connecting them. The population density of a congested urban area is usually high and the street network is already used to capacity during rush hour traffic. The considered problem of this work is the reorganization of the traffic routing of an urban area for the case of an emergency mass evacuation. Especially aspects of the evacuation like safety, avoidance of delays and the total system travel time are taken into account. Combinatorial and graph theoretical aspects are adapted for the evacuation problem and highlight issues concerning especially conflicts within intersections. This work gives an extensive summary of literature of evacuation of urban areas. Mixed-integer linear programming models are developed for evacuation problems and heuristic algorithms are provided and tested. 410 0$aLecture notes in economics and mathematical systems ;$v659. 606 $aEvacuation of civilians$xMathematical models 606 $aCity planning$xMathematical models 606 $aMathematical optimization 606 $aSpatial analysis (Statistics) 606 $aGraph algorithms 615 0$aEvacuation of civilians$xMathematical models. 615 0$aCity planning$xMathematical models. 615 0$aMathematical optimization. 615 0$aSpatial analysis (Statistics) 615 0$aGraph algorithms. 676 $a363.345250151/18 700 $aBretschneider$b Sarah$01063015 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438081803321 996 $aMathematical Models for Evacuation Planning in Urban Areas$92529616 997 $aUNINA