探索能源地理:对家庭消费的数据洞察力
Bardia Mashhoodi1, Thijs Bouman2
1Landscape Architecture and Spatial Planning Group, Department of Environmental Sciences, Wageningen University & Research, P.O. box 47, 6700 AA Wageningen, the Netherlands.
Data in brief
|March 4, 2024
概括
家庭的能源消耗因邻里和性别而异. 这项研究提供了荷兰社区能源使用影响因素的数据,有助于能源效率研究.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 能源政策 能源政策
背景情况:
- 家庭能源消耗 (HEC) 呈现出显著的空间和人口统计差异.
- 了解HEC决定因素对于制定有针对性的能源政策和干预措施至关重要.
- 之前的研究往往缺乏关于HEC驱动器的细粒度,社区级数据.
研究的目的:
- 提供关于HEC决定因素的原始和分析数据的全面数据库.
- 调查社会经济,微气候和建筑因素对荷兰社区层面的HEC的影响.
- 为HEC分析提供支持地理加权回归 (GWR) 模型的数据.
主要方法:
- 从国家和国际开放来源收集数据.
- 计算了与能源需求,社会经济地位,微气候和建筑特征相关的17个关键指标.
- 应用地理加权回归 (GWR) 来分析HEC决定因素的空间变化.
主要成果:
- 该数据库包括2018年2707个荷兰社区 (Wijk) 的17个HEC指标的原始数据.
- 分析的数据提供了局部系数,说明了HEC决定因素在空间上的不同影响.
- 调查结果显示,影响家庭能源消耗的因素在社区层面有显著的差异.
结论:
- 这个数据库提供了对HEC决定因素的空间异质性的宝贵见解.
- 这些数据有助于更深入地了解影响能源消耗模式的当地因素.
- 这些发现可以为本地节能战略和城市规划倡议提供信息.
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