志愿者价值最大化:确定人道主义志愿服务活动优先次序的新方法

IF 1.8 Q2 GEOGRAPHY
Kirsty Watkinson, Jonathan J. Huck, Angela Harris
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引用次数: 0

摘要

由于依赖稀缺的志愿者资源,人道主义制图组织必须确定制图活动的优先次序。对于预测危机的制图或支持长期危机的制图,组织可用的唯一方法是估计地图的 "完整性",由组织引导志愿者对数据缺失的区域进行制图。虽然这种方法适用于那些专注于一般地图改进的组织,但对于那些因特定原因(如饮用水供应)而创建数据的组织来说,这种方法并不理想。在本文中,我们提出了一种考虑到地图数据收集目的的人道主义地图优先级排序新方法。该方法可确定志愿者贡献对地图数据的预期用途影响最大的地点,从而使志愿者贡献的价值最大化。我们以测量医疗保健的距离为例解释了我们的方法,并展示了该方法在考虑地图数据背景方面优于一般地图 "完整性 "估算的能力。我们的方法为人道主义制图组织提供了一种易于复制、成本低廉的方法,并为其提供了一个机会,在了解地图数据收集目的的情况下,就制图优先顺序做出更明智的决策。使用我们的方法,各组织将能够最大限度地利用稀缺的志愿者资源,并提高人道主义地图数据制作的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing the value of a volunteer: A novel method for prioritizing humanitarian VGI activities
As a consequence of their reliance on a scarce volunteer resource, humanitarian mapping organizations must prioritize their mapping activities. For mapping in anticipation of a crisis or mapping in support of long-term crises, the only method available to organizations is an estimation of the "completeness" of the map, with organizations directing volunteers to map areas where data are missing. Whilst this method is suitable for organizations that focus on general map improvement, for those who create data for a specific reason (e.g., drinking water provision) the method is sub-optimal. In this article, we present a new method of humanitarian mapping prioritization, that considers the purpose of map data collection. The method identifies locations where contributions by volunteers are expected to have the biggest impact on the desired use of the map data and therefore maximizes the value gained from volunteer contributions. We explain our method using the example of measuring distance to healthcare and demonstrate its superior ability to consider the context of map data over generic estimations of map "completeness". Our method provides humanitarian mapping organizations with an easily reproducible and low cost method and an opportunity to make better informed decisions about mapping prioritization, when the purpose of map data collection is known. Using our method, organizations will be able to maximize the value gained from a scarce volunteer resource and increase the efficiency of humanitarian map data production. 
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来源期刊
CiteScore
5.10
自引率
0.00%
发文量
5
审稿时长
9 weeks
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