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Geographic representation in location coverage modeling

Geographic representation in location coverage modeling
位置覆盖建模中的地理表示
批准号:
0518967
负责人:
Alan Murray
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-08-15 至 2008-07-31

项目摘要

项目成果

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中文摘要
翻译
本项目研究使用地理信息系统(GIS)和空间分析方法进行服务提供规划的建模方法。重点放在使用位置覆盖模型的预期性能上。这种模型的目的是确保向整个地理区域提供适当的服务,但空间的抽象和表示可能会阻止这一点的发生。这表明在当前的覆盖建模方法中存在可修改的面积单位问题。针对这一问题,提出了区域覆盖的空间优化方法,该方法可以描述为独立于帧的区域覆盖。因此,这些新的方法不会像目前的建模方法那样受到地理空间的抽象和表示的显著影响。将寻求新的精确和启发式方法来求解所提出的模型。区域覆盖模式的实质性背景是广泛的,从服务/人员调度到应急管理再到环境可持续性。因此,该项目将致力于解决与提供紧急服务有关的问题,特别是警报器选址问题。该项目将探索支持与紧急服务有关的地理选址决策的量化方法,如警报器、雷达和警察局/消防局。这项研究将在扩展地理信息科学理论的背景下,精炼这个特定的空间问题领域是如何抽象和建模的。
英文摘要
This project investigates modeling approaches for service provision planning using geographic information systems (GIS) and spatial analytical methods. The focus is on intended performance using location coverage models. The intent of such models is to ensure suitable service is provided to an entire geographic area, yet abstraction and representation of space may prohibit this from occurring. This suggests the existence of the modifiable areal unit problem in current coverage modeling approaches. To address this issue, spatial optimization approaches are proposed for regional coverage that can be characterized as frame independent. As such, these new approaches will not be significantly influenced by the abstraction and representation of geographic space, which is the case with current modeling approaches. Novel exact and heuristic approaches for solving proposed models will be pursued. The substantive context for regional coverage models is broad, ranging from service/personnel scheduling to emergency management to environmental sustainability. Thus, the project will make contributions through its intent to address issues associated with emergency service provision, and warning siren siting in particular.This project will explore quantitative approaches for supporting geographical siting decisions associated with emergency services, such as warning sirens, radar, and police/fire stations. This research will refine how this particular spatial problem domain is abstracted and modeled, and doing so in the context of expanding geographic information science theory.
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