用能源数据绘制发展中国家的城市生活水平和经济活动的地图
Felix S K Agyemang1, Rashid Memon2, Sean Fox3
1Department of Planning and Environmental Management, University of Manchester, Manchester, United Kingdom.
PloS one
|September 28, 2023
概括
住宅用电数据有效地代表了城市地区的生活水平,与夜间照明不同. 这一发现支持将能源数据用于发展中国家的政策和贫困研究.
科学领域:
- 城市规划和发展.
- 地理空间分析是什么?
- 社会经济指标 社会经济指标
背景情况:
- 发展中国家面临城市数据缺口,阻碍基于证据的政策.
- 能源数据,特别是电力消耗,被探索为社会经济地位的代理.
研究的目的:
- 评估住宅电力数据和夜间照明 (NTL) 作为巴基斯坦卡拉奇生活水平和经济活动的代理数据的实用性.
- 评估发展中国家城市规划中的数据局限性.
主要方法:
- 利用全国代表性的调查数据,将电力消耗与家庭生活水平联系起来.
- 与夜间照明 (NTL) 数据进行了地理参考电表数据 (200多万户家庭) 的比较.
- 开发了一个模型,使用Open Street Map数据来解释基于经济活动代理的NTL变化.
主要成果:
- 夜间照明 (NTL) 数据显示,作为生活水平的代理指标的效用有限,但反映了人口密度和经济活动.
- 地理引用的住宅电力消耗数据被证明是家庭生活水平的优秀代理.
结论:
- 电力数据为发展中国家的城市数据缺口提供了可行的解决方案.
- 电力消耗数据可以为低收入和中等收入国家的城市政策和贫困研究提供信息.
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