使用手机数据绘制疏散和流离失所的地图:意大利中部地震的案例研究
Francesca Giardini1, Natalia Selini Hadjidimitriou2, Marco Mamei3,4
1Department of Sociology, University of Groningen, Grote Rozenstraat, 31, 9712 TG, Groningen, The Netherlands. f.giardini@rug.nl.
Scientific reports
|December 14, 2023
概括
在灾难发生后测量人口流离失所是具有挑战性的. 这项研究使用手机数据准确追踪流离失所,帮助决策者了解灾害影响.
科学领域:
- 灾害管理 灾害管理
- 地理空间分析是什么?
- 社会学 社会学 社会学
背景情况:
- 人口流离失所是灾难的重要后果,影响社区和领土.
- 从方法上来说,很难准确地量化灾害发生后的流离失所情况.
研究的目的:
- 引入和验证一种创新的,具有成本效益的方法来测量灾后人口流离失所.
- 通过将人口流离失所数据与社会经济因素相关联,评估人口流离失所的决定因素.
主要方法:
- 利用来自手机的聚合呼叫详细记录 (CDR) 来估计人口的存在.
- 通过比较灾后的移动电话数量与灾前的预测,开发了一个移动电话存在 (MPE) 指数.
- 根据人口普查数据验证了MPE指数,并分析了其与经济活动和财政支持请求的相关性.
主要成果:
- 移动电话存在 (MPE) 指数提供了立即和中期人口流离失所的可靠指标.
- 经济活动和重建支持请求等因素显著影响人口流离失所模式.
- 该研究成功量化了2016-2017年地震影响的意大利四个地区的流离失所情况.
结论:
- 聚合CDR提供了一种高效且廉价的技术来测量灾害引起的人口流离失所.
- 对于政策制定者来说,MPE指数是一个有价值的工具,可以帮助他们了解流离失所的动态,并为灾难应对策略提供信息.
- 该方法可适应各种灾害场景,增强灾害影响评估能力.
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