设计众包软件告知市政当局基础设施状况

Eric Shoemaker, Harrison T. Randolph, James Bryce, Husnu S. Narman
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引用次数: 2

摘要

如何利用和分配公共基础设施预算是地方政府面临的一个重要问题。地方自治团体要想对土建基础设施的维护和工程制定有利的预算计划,首先要了解基础设施的状况。如果没有这些信息,就不可能制定一个计划,有效地使用资金,满足社区成员的需求和愿望。对于较大的机构,如州政府或人口稠密的城市,通过劳动力和调查员的奉献,收集这些信息是可以实现的。然而,较小的市政当局往往缺乏资金和资源。因此,这将促进对公共基础设施的被动管理,以便在问题发生后收集信息,并使其成为主要问题而不是次要问题,因此,如果损坏严重,维修费用可能会更高。这只会给有限的预算带来更大的压力。为了解决这个问题,可以使用来自市政社区的关于公共基础设施状况的众包信息。因此,我们开发了一个基于众包的系统来解决这个问题。数据将通过使用公共软件收集,该软件将寻求收集数据并鼓励用户报告所有问题,而不仅仅是严重或重大的损害。通过接收有关所有问题的报告,无论严重程度如何,市政当局不仅可以获得对损害作出反应和修复的信息,还可以根据有关更小问题的报告时间表,主动预测、修复和预防严重损害。此外,在此方法的适应证明是有益的,本研究旨在生产和部署这样的软件,以造福较小的城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Crowdsourcing Software to Inform Municipalities About Infrastructure Condition
Determining how to utilize and allocate budgets for public infrastructure is an essential issue that local governments face. For a beneficial budgeting plan to be made for civil engineering infrastructure maintenance and projects, a local government needs first to know the condition of its infrastructure. Without such information, it is not possible to create a plan that will use funds effectively and address the needs and desires of the community members. For larger bodies, like state governments or populous cities, collecting this information is achievable through the dedication of workforce and surveyors. However, smaller municipalities can often lack the funds and the resources. Consequently, this will foster reactive management of public infrastructure such that information is collected after an issue occurs and becomes major rather than minor, so repairs can be more expensive if the damage is significant. This only applies more strain to the limited budgets. To solve this issue, crowdsourcing information about the condition of public infrastructure from the community in the municipality can be used. Therefore, we developed a crowdsourcing based system to address this issue. The data will be collected through the use of public software that will seek to collect data and encourage users to report about all issues-, not just severe or significant damages. By receiving reports about all issues, regardless of severity, municipalities will have the information not only to react to and fix the damage, but also they may proactively predict, repair, and prevent severe damages based on timelines of reports about more minor issues. Moreover, upon the adaptation of this method proves to be helpful, this research aims to produce and deploy such software to benefit smaller municipalities.
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