1、外文翻译原文STUDYONLOGISTICSDISTRIBUTIONCENTERLOCATIONBASEDONGISENVIRONMENTMATERIALSOURCESCHOOLOFTRAFFICANDTRANSPORTBEIJINGJIAOTONGUNIVERSITYAUTHORLIANGYANPING,ZHANGXINGPIANG,SUNQIABSTRACTLOGISTICSDISTRIBUTIONCENTERLOCATIONISACOMPLICATEDSPATIALANALYSISANDSPATIALDECISIONMAKINGISSUE,ANDITALSOISAHOTRESEARCHT
2、OPICINLOGISTICSSYSTEMACCORDINGTOINFLUENCEFACTORSOFLOGISTICSDISTRIBUTIONCENTERLOCATION,THEANALYSISPROCESSISDIVIDEDINTOQUALITATIVESELECTIONOFCANDIDATEREGIONSANDQUANTITATIVECALCULATIONBASEDONGISENVIRONMENTTHENTHEMAINDATABASETABLESAREDESIGNEDTOMEETMODELCALCULATINGNEEDSTHEANALYSISPROCESSANDSTEPSAREALSOEX
3、POUNDEDDETAILEDINTHEARTICLEITISPROVEDTHATGISTECHNOLOGYCANMAKEUPLACKSOFTRADITIONALMATHEMATICSMODELS,ANDITISOPERABLEANDPRACTICALBYAPPLYINGGISTOLOGISTICSDISTRIBUTIONCENTERLOCATIONKEYWORDSGISLOGISTICSDISTRIBUTIONCENTERLOCATIONINFLUENCEFACTORSSPATIALDECISIONMAKINGQUALITATIVEANDQUANTITATIVELOCATIONIINTROD
4、UCTIONLOGISTICSDISTRIBUTIONCENTERISABRIDGEBETWEENSUPPLYINGANDDEMANDINLOGISTICSNETWORK,ANDITPLAYSACRUCIALROLEINLOGISTICSSYSTEMADISTRIBUTIONCENTERISLOCATEDSUITABLYORNOTWILLDIRECTLYEFFECTONTHEEFFICIENCYANDSERVINGQUALITYOFTHEWHOLESYSTEMMANYSCHOLARSHAVEDISCUSSEDTHEMODELINGISSUEOFLOGISTICSDISTRIBUTIONCENT
5、ERLOCATIONFROMDIFFERENTPOINTSOFVIEW,ANDTHEMODELSMAINLYARETHOSE,SUCHASALGORITHMSOFMATHEMATICSPROGRAMMING,MULTIRULEDECISIONMAKING,HEURISTICALGORITHMANDSIMULATIONANDSOONANDMOSTOFTHOSEHAVEBEENVALIDATEDBYINSTANCESTHEOBJECTIVEFUNCTIONSOFTHOSEMODELSUSUALLYARETOMAKETRANSPORTATIONEXPENSEANDFIXEDINVESTMENTLES
6、SINLOCATIONSELECTIONTHEDISTANCESAMONGROADNETWORKNODESAREUSUALLYPRESUMEDTOBELINEARDISTANCEWHENCALCULATINGTRANSPORTATIONEXPENSEINTHEMODELSSOMETIMES,EVENIFTHELINEARDISTANCEISTRANSFERREDINTOMILEAGEOFHIGHROAD,RAILWAYOROTHERTRAFFICANDTRANSPORTATIONNETWORKBYINTRODUCINGASCALEFACTORINTHEMODELS,ALARGERERRORIS
7、ALWAYSEXISTEDWHENCOMPARINGWITHTHEFACTUALDISTANCEINFACT,DISTRIBUTIONCENTERLOCATIONISACOMPLICATEDDECISIONMAKINGPROCESS,ANDANOPTIMALLOCATIONOFTHEDISTRIBUTIONCENTERISOFTENDECIDEDSYNTHETICALLYBYMANYFACTORSTHECANDIDATEREGIONSOFDISTRIBUTIONCENTERAREALWAYSASSUMEDTOBEEXISTEDALREADYORBEDISPOSEDSIMPLYINTRADITI
8、ONALMODELS,WHICHAREALWAYSNOTAGREEDWITHFACTSINFLUENCEFACTORSOFLOGISTICSDISTRIBUTIONCENTERLOCATIONAREDISCUSSEDFIRSTLY,ANDTHENTHEFUNCTIONANDSIGNIFICANCEOFGISTECHNOLOGYAREANALYZEDINTHISARTICLEFURTHER,THELOCATIONPROCESSOFLOGISTICSDISTRIBUTIONCENTERISDIVIDEDINTOTWOSTEPSTHEONEISTOSELECTSOMECANDIDATEREGIONS
9、BYQUALITATIVEANALYSISUSINGMANYSPATIALANALYSISMETHODSONGISENVIRONMENT,ANDTHEOTHERISTOEXTRACTANOPTIMALREGIONFROMTHECANDIDATEREGIONSUANTITATIVELYBYMATHEMATICSMODELTHEANALYSISPROCESSANDSTEPSAREEXPOUNDEDDETAILED,ANDTHEDATABASETABLESAREALSODESIGNEDTOMEETTHENEEDSOFQUANTITATIVEANALYSISITSPROVEDTHATGISTECHNO
10、LOGYCANMAKEUPLACKSOFTRADITIONALMATHEMATICSMODELS,ANDITSOPERABLEANDPRACTICALBYAPPLYINGGISTOLOGISTICSDISTRIBUTIONCENTERLOCATIONIIANALYSISONINFLUENCEFACTORSOFLOGISTICSDISTRIBUTIONCENTERLOCATIONTHECOMMONLOCATIONMODELSAREALWAYSDIVIDEDINTOFOURSTAGESDATAPREPARING,INFLUENCEFACTORSANALYSIS,COMPREHENSIVEINFLU
11、ENCEESTIMATINGANDLOCATIONSELECTIONANALYSIS,ANDANALYSISOFINFLUENCEFACTORSISAKEYSTEPAMONGTHEFOURSTAGESINLOCATIONMODELINPUTTINGLEASTCOMPREHENSIVEEXPENSEINVESTMENTORGETTINGLARGESTCOMPREHENSIVEECONOMYBENEFITISTHETARGETOFLOCATINGANOPTIMALDISTRIBUTIONCENTER,SOTHEINFLUENCEFACTORSWHICHARECLOSELYASSOCIATINGWI
12、THEXPENSESAREMAINLYTAKENINTOACCOUNTTHEEXPENSESMAINLYINCLUDETWOPARTSBUILDINGEXPENSESANDDISTRIBUTIONEXPENSESORRUNNINGEXPENSESEXCEPTFORTHEINFLUENCEFACTOROFNATUREENVIRONMENT,THEMULTIINFLUENCEFACTORSOFECONOMYANDPOLICYALSOSHOULDBETAKENINTOACCOUNTCOMPREHENSIVELYWHENLOCATINGANOPTIMALLOGISTICSDISTRIBUTIONCEN
13、TER,SOITSDIFFERENTFROMACOMMONLOCATIONMODELAINFLUENCEFACTORSASSOCIATINGWITHBUILDINGEXPENSESBUILDINGEXPENSESOFLOGISTICSDISTRIBUTIONCENTERLOCATIONAREINFLUENCEDGREATLYBYFACTORSOFNATUREENVIRONMENTFACTORSOFGEOLOGICALCONDITION,HYDROLOGICALCONDITIONANDCLIMATESHOULDBETAKENINTOACCOUNTCOMPREHENSIVELY,SUCHASKEE
14、PINGLANDHAVEENOUGHCARRYINGCAPACITY,AVOIDINGFROMBADGEOLOGICCONDITIONSOFCOAST,GULLYANDEARTHQUAKEANDSOON,LOCATINGAHIGHERALTITUDEREGIONIFPOSSIBLE,ANDKEEPINGGOODSDRYNESSFROMFLOODWATERINURBANCOLLECTIVITYPLANNING,AMAPOFURBANLANDEVALUATIONISUSUALLYDRAWNACCORDINGTOINFLUENCESOFDIFFERENTNATURALCONDITIONSANDTHI
15、SMAPCANBEUSEDASANIMPORTANTREFERENCEWHENLOCATINGALOGISTICSDISTRIBUTIONCENTERINADDITION,THEFACTOROFPOLICYALSOWILLBETAKENINTOACCOUNTWHENLOCATING,SUCHASENTERPRISEPREFERENTIALPRICES,URBANPLANNINGLANDDEVELOPMENTANDCONSOLIDATION,ROADBUILDING,ANDREGIONALINDUSTRYPOLICIESANDSOONBAFFECTINGFACTORSASSOCIATINGWIT
16、HLOGISTICSDISTRIBUTIONEXPENSEDISTRIBUTIONEXPENSESWILLBECALCULATEDINTHREESTAGESTHEFIRSTISTHETRANSPORTATIONEXPENSESFROMSUPPLYINGPOINTSTOLOGISTICSDISTRIBUTIONCENTERS,ANDTHESECONDISTHEDEPOSITINGANDHANDLINGEXPENSESINLOGISTICSDISTRIBUTIONCENTERSANDTHELASTISTHETRANSPORTATIONEXPENSESFROMLOGISTICSDISTRIBUTIO
17、NCENTERTOALLCLIENTNETWORKSTHEEXPENSESINFIRSTANDTHIRDSTAGEAREASSOCIATINGWITHANOPTIMALLOCATIONCLOSELYSOTHEMAINFACTORSREALLYDEPENDONSPATIALDISTRIBUTIONOFRESOURCEPOINTS,SPATIALDISTRIBUTIONOFCLIENTNETWORKS,ANDSTATUSANDCONDITIONOFROADTRAFFICNETWORKSIIIFUNCTIONSOFGISTECHNOLOGYINLOGISTICSDISTRIBUTIONCENTERL
18、OCATIONMOSTOFTHEPROBLEMSINLOGISTICSSYSTEMARESPATIALANALYSISANDSPATIALDECISIONMAKINGISSUES,SUCHASOVERALLARRANGEMENTOFLOGISTICSDISTRIBUTIONCENTERS,OPTIMALPATHOFDISTRIBUTINGANDSOONGEOGRAPHICINFORMATIONSYSTEMIEGISISACOMPUTERSYSTEMWHICHCANINPUT,DEPOSIT,EDIT,QUERY,ANALYZEANDDISPLAYGEOSPATIALDATAANDATTRIBU
19、TEINFORMATIONGISISALSOAHIGHTECHNOLOGYWHICHINTEGRATESGEOGRAPHY,GEOMETRY,COMPUTERSCIENCEANDALLKINDSOFAPPLICATIONOBJECTSTOGETHERGISTECHNOLOGYHASASTRONGERPOWERTOINTEGRATEDATAFROMDIFFERENTSOURCESTOGETHERANDANALYZINGSPATIALDATAPOWERFULLY,SOITSPLAYSASIGNIFICANTROLEINTHEFIELDOFSPATIALDECISIONMAKINGFUNCTIONS
20、OFGISTECHNOLOGYINLOGISTICSDISTRIBUTIONCENTERLOCATIONCANBEDESCRIBEDASFOLLOWINGSAASANINFORMATIONPLATFORM,GISISUSEDTOINTEGRATEALLKINDSOFINFORMATIONANDFACTORSTOGETHERINDECISIONMAKINGBROADNETWORKSTOREDINGISHASATOPOLOGYRELATIONSHIPWHICHDESCRIBESCURRENTROADSFACTUALLY,ANDTHETOPOLOGICALNETWORKCANBEUSEDTOCALC
21、ULATETHETRUETRANSPORTATIONDISTANCEACCURATELY,ANDSUCHERRORSCAUSEDBYSUPPOSITIONOFLINEARDISTANCEINTRADITIONALMATHEMATICSMODELCANBEAVOIDEDCGISPROVIDESWITHMANYSPATIALANALYSISMETHODS,SUCHASSPATIALNETWORKANALYSIS,SPATIALBUFFERANALYSIS,SPATIALOVERLYANALYSISANDSOONALLTHOSEMETHODSCANBECHOSETOSOLVEDIFFERENTPRO
22、BLEMSFOREXAMPLE,BUFFERANALYSISANDOVERLYANALYSISCANBEUSEDTOSELECTCANDIDATEREGIONSPRIMARILY,ANDSPATIALNETWORKANALYSISCANBEUSEDTOSELECTANOPTIMALPATHINDISTRIBUTIONROUTEPLANNING,WHICHCANMAKETRANSPORTATIONEXPENSESLOWERDGISEXPRESSESOBJECTSABUNDANTLYANDVISIBLY,ANDITCANMAKETHEPROCESSOFLOCATINGANDANALYSISRESU
23、LTVISIBLEBYUSINGTHEMATICMAPANDVISUALIZATIONTECHNOLOGYEMOSTOFGISSOFTWAREPROVIDEWITHSECONDARYDEVELOPINGFUNCTIONTRADITIONALMATHEMATICSMODELSCANBEMODULARIZEDINTOGISENVIRONMENT,ANDGISPLATFORMOFFERSDATASUPPORTING,GRAPHICALINTERFACESANDHUMANCOMPUTERINTERACTIONINTERFACEWHENCALCULATINGQUANTITATIVELYIVPROCESS
24、OFLOGISTICSDISTRIBUTIONCENTERLOCATIONBASEDONGISENVIRONMENTINGISENVIRONMENT,THEPROCESSOFLOCATINGALOGISTICSDISTRIBUTIONCENTERCANBEDIVIDEDINTOTWOSTAGESTHEONEISTOSELECTCANDIDATEREGIONSQUALITATIVELY,ANDTHEOTHERISTOEXTRACTANOPTIMALREGIONFROMCANDIDATEREGIONSQUANTITATIVELYTHEQUANTITATIVEANALYSISMODELINTHISA
25、RTICLEADOPTSTHEDECISIONMAKINGMODELOFMULTIDISTRIBUTIONCENTERANDMULTIVARIETYGOODSASAREFERENCE,WHICHISDESCRIBEDINREFERENCEANDTHEMAINDATABASETABLESAREALSODESIGNEDTOMEETMODELCALCULATINGINTHEFIRSTSTAGESWHENPREPARINGANDHANDLINGDATAASELECTINGCANDIDATEREGIONSQUALITATIVELYINFIRSTSTAGEOFSELECTINGCANDIDATEREGIO
26、NSQUALITATIVELY,THEANALYSISSTEPSAREDESCRIBEDASFOLLOWINGS1COLLECTINFORMATIONANDBUILDDATABASEALLKINDSOFMAPS,SPATIALDATAANDINFORMATIONASSOCIATINGWITHLOCATIONCLOSELYSHOULDBECOLLECTEDANDDISPOSEDONGISPLATFORM,SUCHASTHEMAPOFURBANROADNETWORK,MAPOFURBANLANDASSESSING,MAPOFURBANLANDUSE,MAPOFURBANLANDVALUE,MAPO
27、FRESOURCENETWORKDISTRIBUTION,MAPOFCLIENTNETWORKDISTRIBUTIONANDSOONALLTHOSESPATIALDATAANDTHEIRATTRIBUTIONINFORMATIONARESTOREDANDMANAGEDINOBJECTRELATIONSPATIALDATABASEINTEGRATIVELY2OUTPUTOFCANDIDATEREGIONSOFDISTRIBUTIONCENTERAFIRSTLY,APPLYSPATIALOVERLAYANALYSISINGISTOOVERLAYTHELAYERSOFURBANLANDASSESSI
28、NGANDURBANLANDUSE,THENGETSOMECANDIDATEREGIONSPRIMARILYWHICHMEETTHENEEDSOFNATUREENVIRONMENTS,ANDINTERSECTIONARITHMETICISADOPTEDINTHEANALYSISPROCESSBSECONDLY,THERESULTSOFSTEPAAREUSEDTOOVERLAYTHELAYEROFURBANLANDVALUE,ANDCERTAINCANDIDATEREGIONSWITHLOWERBUILDINGEXPENSESWILLBEOBTAINED,ANDINTERSECTIONARITH
29、METICISADOPTEDATTHESAMETIMEWHENOVERLAYINGCTHIRDLY,MAKEACERTAINTYWIDTHBUFFERTOMAINROADSINTHELAYEROFURBANROADNETWORK,THENTHEBUFFERAREASAREUSEDTOOVERLAYTHERESULTSOFSTEPBWITHINTERSECTIONARITHMETICANDTHENSUCHAREASARECOMEINTOBEINGWITHLOWERBUILDINGEXPENSEANDCLOSERDISTANCETOURBANTRUNKS,ANDTHOSEAREASAREALSOM
30、EETINGTHENEEDSOFNATUREENVIRONMENTSATTHESAMETIMEDATLAST,THERESULTLAYEROFANALYSISWILLBEOUTPUTTEDBYFUNCTIONSOFQUERY,MEASUREANDDRAWINGOFGISTECHNOLOGYTHERESULTLAYERISJUSTTHEDATAOFCANDIDATEREGIONSTOBEUSEDINNEXTQUANTITATIVEANALYSISBLOCATINGDISTRIBUTIONCENTERWITHQUANTITATIVEANALYSISDECISIONMAKINGMODELOFLOCA
31、TIONINTHISARTICLEADOPTSTHEMODELOFMULTIDISTRIBUTIONCENTERANDMULTIVARIETYGOODSASAREFERENCEDESCRIBEDINREFERENCE,ANDMODELINGANDDESIGNAREFINISHEDINGISENVIRONMENTMOSTOFGISSOFTWAREPROVIDEWITHSECONDARYDEVELOPMENT,SOTHEINTEGRATIONINGISENVIRONMENTCANBEREALIZEDBYPROGRAMMINGDATANEEDEDBYMODELCANBEOBTAINEDDIRECTL
32、YFROMATTRIBUTETABLESSTOREDINGISSPATIALDATABASE,ANDTHESPATIALCOORDINATESOFSUPPLYINGPOINTS,CLIENTPOINTSANDROADTRAFFICNETWORKSCANALSOBEGOTFROMTHEDATABASEWHENCALCULATINGTRANSPORTATIONDISTANCESFROMSUPPLYINGPOINTSTODISTRIBUTIONCENTERS,ORDISTANCESFROMDISTRIBUTIONCENTERSTOCLIENTPOINTS,THEACTUALDISTANCECANBE
33、GOTINGISENVIRONMENT,WHICHISOFTENASSUMEDINTRADITIONALMODELSIFWITHOUTGISSUPPORTINGTHEMETHODOFTOURPROBLEMANALYSISINGISWILLCONTRIBUTEDTOSELECTANOPTIMALDISTRIBUTIONROUTETHESPATIALDATAANDPRECISECOORDINATESMAKETHESELECTINGPROCESSMOREFEASIBLEANDPRACTICALTHEMETHODSANDPROCESSOFAPPLYINGGISTOLOGISTICSDISTRIBUTI
34、ONCENTERLOCATIONAREMAINLYEXPOUNDED,ANDITSPROVEDTHATGISTECHNOLOGYCANMAKEUPLACKSOFTRADITIONALMATHEMATICSMODELSINTHEWHOLEPROCESS,COLLECTIONANDDISPOSALOFALLKINDSOFSPATIALDATAANDMODELSSECONDARYDEVELOPMENTINGISENVIRONMENTAREKEYISSUESWHENAPPLYINGGISTOLOGISTICSDISTRIBUTIONCENTERLOCATIONANDNEXT,MOREWORKSSHOU
35、LDBEDONETOINTEGRATEMOREPLANNINGMODELSINGISENVIRONMENT,ANDDESIGNINGANDFINISHINGAWHOLESYSTEMOFLOGISTICSDISTRIBUTIONCENTERLOCATIONALSOSHOULDBEPLACEDONTHEAGENDA译文基于GIS环境下物流配送中心选址研究资料来源北京交通大学作者LIANGYANPING,ZHANGXINGPIANGSUNQI摘要物流配送中心选址是一个复杂的空间分析和空间的决策问题，也是一个物流系统研究的热门课题。根据影响物流配送中心选址的因素，分析过程分为定性的候选区域的选择和基于
36、GIS环境的定量计算,然后主要数据库来满足模型设计计算的需求。这个分析过程，也是在文章中详细阐述了实践证明，GIS技术可以弥补传统数学模型缺少的步骤，在物流配送中心选择时它是具有可操作性和实际应用的地理信息系统。关键词物流配送中心的选择；影响因素；空间决策；定性和定量I导言物流配送中心是供应两者之间的桥梁，并要求在物流网络系统中起着关键作用，物配送中心位于系统中适当与否将直接影响服务的效率和质量。很多学者讨论了建立讨论模物流配送中心选址问题，其不同观点主要在于模型，如数学编程算法，多规则决策，启发式算法和仿真等，这些模型的目标函数通常是使运输费用和固定资产投资的区位减少选择。公路网络节点间的距
37、离通常假定为直线距离并且计算出运输费用。有时，直线距离不仅被转移到公路甚至是铁路里程或其他交通运输网络，进入运算模型中，与实际距离比较总是会存在很大的差距的。配送中心选址是一个复杂决策过程，一个的最佳位置配送中心常常由许多综合因素决定。这文章中首先对物流配送中心选址的影响因素进行讨论，然后对其的功能和意义地理信息系统技术进行了分析，更多的是把物流配送中心的选址过程分为两个步骤一种是对部分候选区域的地理信息环境用多种空间分析方法进行定性分析，另外一种就是用定量的数学方法对候选区域进行分析。这些分析过程和步骤必须阐述详尽，数据库同样还需满足定量的分析，GIS技术的可操作性可以弥补传统数学模型不足，
38、通过应用GIS在物流配送实践中，确定配送中心位置。II分析物流的影响因素配送中心选址共同区位模型总是分为四阶段数据准备，影响因素分析，预算影响和位置选择分析。影响因素分析是在区位模型中关键的一步。寻找一个最佳的配送中心的目标是投入最少的资金或者全面的开支以获得最大的综合性经济利益。因此影响因素是和开支紧密联系在一起的,其费用主要包括两个方面建设费用和分销开支（或者运行费用）。在定位一个最佳的配送中心时，除了自然环境因素外，经济的影响因素和政策的多重影响因素也应该综合考虑。（1）影响因素与建筑开支的关联物流配送中心选址的建筑费用受自然影响环境的因素的极大影响。如土地是否有足够的承载能力，避免在海
39、岸，沟壑和地震等不良地质条件上，定位更高海拔地区，如果可能的话，在保持商品干燥的城市总体规划。此外，政策因素也将考虑到，如企业优惠的价格，城市规划（土地开发整理，道路建设），以及区域政策等。（2）影响因素与物流配送费用关联分销费用将被计算在三个阶段首先是从供应点到物流配送中心的交通费，第二个是存放和处理物流配送中心的费用和最后是从物流配送运输费用。所以真的在资源空间分布的依赖点的是客户网络的空间分布，地位以及道路交通网络的条件。大部分因素的空间特征分布，实质上，在配送中心定位时，这就是一个决策问题。但传统的数学模型解决不了这样的空间决策问题的完美，它需要另一个技术。IIIGIS技术在物流功能配
40、送中心选址中作用在物流系统中的大部分问题是空间分析与空间决策问题，如整体安排物流配送中心，最优路径分布等，GEOGRAPHIC信息系统（即地理信息系统）是一种计算机系统，可以输入，编辑，查询，分析和显示地理空间数据和属性信息，GIS也是高科技于一体地理，几何，计算机科学及种应用对象的综合。GIS具有较强的技术权力整合来自不同来源的数据一起，空间数据分析功能强大，所以它的发挥了重要作用在空间决策领域。GIS技术在物流配送中心的功能可描述如下（1）作为信息平台，GIS经常被用于地理信息系统的信息和因素在决策过程中一起种。（2）道路网络地理信息系统中存储的拓扑关系,它描述了当前道路真实与拓扑网络,可
41、以用来计算运输的真实距离准确，可以避免造成了错误的假设传统的数学模型。（3）地理信息系统提供了许多空间分析方法，例如作为空间网络分析，空间缓冲区分析，空间过度分析等。这些方法可以选择解决不同问题。例如，缓冲区分析和过度分析可以用来选择候选区域首选对象，网络分析和空间可用于选择最优路径配送路线规划，可以使运输费用低。（4）地理信息系统表示对象十分明显，它可以定位过程和分析结果清晰可见。（5）地理信息系统软件的大多数中学提供发展中的作用。传统的数学模型，可模块化，地理信息系统环境，地理信息系统平台提供数据支持，图形界面和人机交互界面时，定量计算。IV基于GIS环境过程的物流配送中心选址在GIS环境
42、下，寻找一个物流过程配送中心可分为两个阶段一个是选择候选区域定性，另一个是从候选区域提取一个定量的最佳区域。本文中采用定量分析模型。（1）选择候选区域定性选择候选区域定性的第一阶段，分析步骤说明如下收集数据和建立数据库GIS作为地图信息，空间数据和相关联的各种信息与位置收集和处理地理信息系统平台，如城市路网图，城市地图土地评估，对城市土地利用现状图，城市地图土地价值，资源的网络分布图，地图的客户端网络配送等。输出的候选区域配送中心首先，运用GIS空间叠加分析，叠加城市土地评估和城镇土地使用层，采用算术交叉分析过程然后得出以符合需求大自然环境一些地区的主要候选区。其次，第一步的结果是用来叠加城市
43、土地价值，交算术通过在同一时间覆盖与某些候选区域比较，得出建设费用较低的。第三，做一个缓冲区来确定宽度在主要道路城市道路网络层，然后使用缓冲区以叠加的结果（步骤3）与交集运算。最后，分析结果将输出层由查询功能，测量和地理信息系统技术绘制。结果层只是候选区域的数据被使用在未来的定量分析。（2）定位与定量分析配送中心。大多数GIS软件提供的二次开发，所以在地理信息系统环境的集成，可实现通过模型可以得到所需的直接数据，GIS空间数据库存储和供应点的空间坐标，客户点和道路交通网络也可以得到。当从供应点到计算运输距离配送中心或距离时，从配送中心客户点的实际距离可以得到在GIS环境，这往往是在传统的模型假设，这个方法在地理信息系统将有助于选择最佳的配送路线。空间数据和精确的坐标作出选择过程更加可行和实用。在整个过程中，应用地理信息系统对物流配送中心选址的关键问题应该是收集和处置各类空间数据和模型在地理信息系统二次开发，并制定和完成整个系统的物流配送中心的位置，地理信息系统进行整合环境的规划模型都应该放在议程。
