{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T02:07:08Z","timestamp":1792634828392,"version":"4.5.0"},"reference-count":46,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T00:00:00Z","timestamp":1493683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Emergency material vehicle dispatching and routing (EMVDR) is an important task in emergency relief after large-scale earthquake disasters. However, EMVDR is subject to dynamic disaster environment, with uncertainty surrounding elements such as the transportation network and relief materials. Accurate and dynamic emergency material dispatching and routing is difficult. This paper proposes an effective and efficient multi-objective multi-dynamic-constraint emergency material vehicle dispatching and routing model. Considering travel time, road capacity, and material supply and demand, the proposed EMVDR model is to deliver emergency materials from multiple emergency material depositories to multiple disaster points while satisfying the objectives of maximizing transport efficiency and minimizing the difference of material urgency degrees among multiple disaster points at any one time. Furthermore, a continuous-time dynamic network flow method is developed to solve this complicated model. The collected data from Ludian earthquake were used to conduct our experiments in the post-quake and the results demonstrate that: (1) the EMVDR model adapts to the dynamic disaster environment very well; (2) considering the difference of material urgency degree, the material loss ratio is \u221210.7%, but the variance of urgency degree decreases from 2.39 to 0.37; (3) the EMVDR model shows good performance in time and space, which allows for decisions to be made nearly in real time. This paper can provide spatial decision-making support for emergency material relief in large-scale earthquake disasters.<\/jats:p>","DOI":"10.3390\/ijgi6050142","type":"journal-article","created":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T11:37:20Z","timestamp":1493725040000},"page":"142","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment"],"prefix":"10.3390","volume":"6","author":[{"given":"Jincheng","family":"Jiang","sequence":"first","affiliation":[{"name":"Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Smart City Research Institute, School of Civil Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingquan","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Smart City Research Institute, School of Civil Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Geoscience and Infor-Physics, Central South University, Changsha 410083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0255-4037","authenticated-orcid":false,"given":"Wei","family":"Tu","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Smart City Research Institute, School of Civil Engineering, Shenzhen University, Shenzhen 518060, China"},{"name":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,5,2]]},"reference":[{"key":"ref_1","first-page":"255","article-title":"Integration of GIS and computational models for emergency management","volume":"Volume 2","author":"Chen","year":"2008","journal-title":"Intelligent Computation Technology and Automation (ICICTA)"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.soildyn.2009.12.006","article-title":"Characteristics of the strong ground motions from the 6 April 2009 L\u2019Aquila earthquake, Italy","volume":"30","author":"Akinci","year":"2010","journal-title":"Soil Dyn. Earthq. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.cageo.2014.04.001","article-title":"Development of an UAS for post-earthquake disaster surveying and its application in Ms7. 0 Lushan Earthquake, Sichuan, China","volume":"68","author":"Xu","year":"2014","journal-title":"Comput. Geosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1080\/19475705.2015.1060639","article-title":"The Ludian earthquake of 3 August 2014","volume":"7","author":"Hong","year":"2016","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"81","DOI":"10.4018\/ijgee.2015010105","article-title":"Nepal Earthquake of April 25, 2015","volume":"6","author":"Sitharam","year":"2015","journal-title":"Int. J. Geotech. Earthq. Eng."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"219","DOI":"10.5812\/traumamon.4519","article-title":"Major earthquakes of the past decade (2000\u20132010): A comparative review of various aspects of management","volume":"17","author":"Motamedi","year":"2012","journal-title":"Trauma Mon."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1290","DOI":"10.3390\/ijgi4031290","article-title":"Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA","volume":"4","author":"Singh","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"166","DOI":"10.3390\/ijgi1020166","article-title":"An analysis of geospatial technologies for risk and natural disaster management","volume":"1","author":"Hirata","year":"2012","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1016\/j.cageo.2008.03.003","article-title":"An intelligent simulation system for earthquake disaster assessment","volume":"35","author":"Tang","year":"2009","journal-title":"Comput. Geosci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2253","DOI":"10.1080\/13658816.2012.719624","article-title":"Experiences with evacuation route planning algorithms","volume":"26","author":"Shekhar","year":"2012","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1080\/13658816.2013.845893","article-title":"Modeling and representation for earthquake emergency response knowledge: Perspective for working with geo-ontology","volume":"28","author":"Xu","year":"2014","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/1467-9671.00157","article-title":"GI Science, disasters and emergency management","volume":"7","author":"Cutter","year":"2003","journal-title":"Trans. In Gis"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.enggeo.2014.06.001","article-title":"Seismic damage and behavior analysis of earth dams during the 2008 Wenchuan earthquake, China","volume":"180","author":"Chen","year":"2014","journal-title":"Eng. Geol."},{"key":"ref_14","first-page":"845","article-title":"GIS in emergency management","volume":"2","author":"Cova","year":"1999","journal-title":"Geogr. Inf. Syst."},{"key":"ref_15","first-page":"409","article-title":"Automatic search of geospatial features for disaster and emergency management","volume":"12","author":"Zhang","year":"2010","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1093\/phr\/115.2.262","article-title":"A \u201ccommunity as material\u201d strategy for disaster response","volume":"115","author":"Lichterman","year":"2000","journal-title":"Public Health Rep."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"11066","DOI":"10.1016\/j.eswa.2012.03.016","article-title":"Multiple-resource and multiple-depot emergency response problem considering secondary disasters","volume":"39","author":"Zhang","year":"2012","journal-title":"Expert Syst. Appl."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.tre.2009.07.005","article-title":"Dynamic relief-demand management for emergency logistics operations under large-scale disasters","volume":"46","author":"Sheu","year":"2010","journal-title":"Transport. Res. Part E"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1016\/j.tre.2006.10.012","article-title":"Multi-objective optimal planning for designing relief delivery systems","volume":"43","author":"Tzeng","year":"2007","journal-title":"Transport. Res. Part E"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.tre.2012.09.001","article-title":"A multi-objective robust optimization model for logistics planning in the earthquake response phase","volume":"49","author":"Najafi","year":"2013","journal-title":"Transport. Res. Part E"},{"key":"ref_21","first-page":"19","article-title":"Analysis of relief impact on transport during crisis situations","volume":"17","author":"Rybansky","year":"2009","journal-title":"Mora. Geogr. Rep."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"7049","DOI":"10.1007\/s12665-015-4759-y","article-title":"Modelling of cross-country transport in raster format","volume":"74","author":"Rybansky","year":"2015","journal-title":"Environ. Earth Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.engappai.2014.07.022","article-title":"A new hybrid evolutionary based RBF networks method for forecasting time series: A case study of forecasting emergency supply demand time series","volume":"36","author":"Mohammadi","year":"2014","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1080\/17538940902767401","article-title":"Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data","volume":"2","author":"Ehrlich","year":"2009","journal-title":"Int. J. Digit. Earth"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.seps.2011.04.004","article-title":"Optimization models in emergency logistics: A literature review","volume":"46","author":"Caunhye","year":"2012","journal-title":"Socio-Econ. Plan. Sci."},{"key":"ref_26","unstructured":"Bandrova, T.L., Konecny, M., and Yotova, A. (2014, January 15). Cartography development and challenges on the basis of big data. Proceedings of the 5th international conference on cartography and GIS, Riviera, Bulgaria."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1057\/palgrave.jors.2601652","article-title":"A two-stage stochastic programming framework for transportation planning in disaster response","volume":"55","author":"Barbarosolu","year":"2004","journal-title":"J. Oper. Res. Soc."},{"key":"ref_28","first-page":"2454","article-title":"A novel model for quick response to disaster relief distribution","volume":"5","author":"Sheu","year":"2005","journal-title":"Proc. East. Asia Soc. Transport. Stud."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/MIS.2008.7","article-title":"Greedy neighborhood search for disaster relief and evacuation logistics","volume":"23","author":"Ozdamar","year":"2008","journal-title":"IEEE Intell. Syst."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1016\/j.tre.2006.04.004","article-title":"An emergency logistics distribution approach for quick response to urgent relief demand in disasters","volume":"43","author":"Sheu","year":"2007","journal-title":"Transport. Res. Part E"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1016\/j.cor.2008.07.002","article-title":"Optimal scheduling of emergency roadway repair and subsequent relief distribution","volume":"36","author":"Yan","year":"2009","journal-title":"Comput. Oper. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2947","DOI":"10.1016\/j.eswa.2013.10.026","article-title":"Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling","volume":"41","author":"Chang","year":"2014","journal-title":"Expert Syst. Appl."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1007\/s00291-011-0268-x","article-title":"A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty","volume":"35","author":"Jabalameli","year":"2013","journal-title":"OR Spectr."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1016\/j.ejor.2005.03.077","article-title":"A dynamic logistics coordination model for evacuation and support in disaster response activities","volume":"179","author":"Yi","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.tre.2014.11.007","article-title":"Modeling multiple humanitarian objectives in emergency response to large-scale disasters","volume":"75","author":"Huang","year":"2015","journal-title":"Transport. Res. Part E"},{"key":"ref_36","first-page":"231","article-title":"Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations","volume":"30","author":"Haghani","year":"1996","journal-title":"Transport. Res. Part A"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1111\/j.1937-5956.2009.01119.x","article-title":"Stochastic optimization for natural disaster asset prepositioning","volume":"19","author":"Apte","year":"2010","journal-title":"Prod. Oper. Manag."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.ijpe.2009.10.004","article-title":"Stochastic optimization of medical supply location and distribution in disaster management","volume":"126","author":"Mete","year":"2010","journal-title":"Int. J. Prod. Econ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.trb.2009.08.003","article-title":"Pre-positioning of emergency supplies for disaster response","volume":"44","author":"Rawls","year":"2010","journal-title":"Transport. Res. B-Meth."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/1520-6750(199302)40:1<1::AID-NAV3220400102>3.0.CO;2-S","article-title":"Optimizing disaster relief: Real-time operational and tactical decision support","volume":"40","author":"Brown","year":"1993","journal-title":"Nav. Res. Log."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1016\/j.cie.2008.09.033","article-title":"Path selection model and algorithm for emergency logistics management","volume":"56","author":"Yuan","year":"2009","journal-title":"Comput. Ind. Eng."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2632","DOI":"10.1016\/j.eswa.2010.08.053","article-title":"A container multimodal transportation scheduling approach based on immune affinity model for emergency relief","volume":"38","author":"Hu","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/j.amc.2014.01.033","article-title":"A decomposable self-adaptive projection-based prediction\u2013correction algorithm for convex time space network flow problem","volume":"231","author":"Jiang","year":"2014","journal-title":"Appl. Math. Comput."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Fonoberova, M. (2010). Algorithms for finding optimal flows in dynamic networks. Handbook of Power Systems II, Springer.","DOI":"10.1007\/978-3-642-12686-4_2"},{"key":"ref_45","first-page":"266","article-title":"The quickest maximum dynamic flow of minimum cost","volume":"3","author":"Parpalea","year":"2011","journal-title":"Int. J. Appl. Math. Inf."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1137\/0201010","article-title":"Depth-first search and linear graph algorithms","volume":"1","author":"Tarjan","year":"1972","journal-title":"Siam. J. Comput."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/5\/142\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:34:26Z","timestamp":1760207666000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/6\/5\/142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,2]]},"references-count":46,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2017,5]]}},"alternative-id":["ijgi6050142"],"URL":"https:\/\/doi.org\/10.3390\/ijgi6050142","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,2]]}}}