Department of Civil, Materials, and Environmental Engineering, University of Illinois at Chicago, 842 W Taylor Street (M/C 246), Chicago, IL, 60607, USA.
Department of Urban Planning and Policy, University of Illinois at Chicago, 412 S Peoria St, Chicago, IL, 60607, USA.
Sci Rep. 2023 Apr 17;13(1):6223. doi: 10.1038/s41598-023-33133-y.
The analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between infrastructures to eventually enhance their sustainability and resilience. In this study, we focus on electricity consumption and travel demand. In short, the premise is that when people are in buildings consuming electricity, they are not generating traffic on roads, and vice versa, hence the presence of interrelationships. We use Long Short Term Memory (LSTM) networks to model electricity consumption patterns of zip codes based on the traffic volume of the same zip code and nearby zip codes. For this, we merge two datasets for November 2017 in Chicago: (1) aggregated electricity use data in 30-min intervals within the city of Chicago and (2) traffic volume data captured on the Chicago expressway network. Four analyses are conducted to identify interrelationships: (a) correlation between two time series, (b) temporal relationships, (c) spatial relationships, and (d) prediction of electricity consumption based on the total traffic volume. Overall, from over 250 models, we identify and discuss complex interrelationships between travel demand and electricity consumption. We also analyze and discuss how and why model performance varies across Chicago.
分析基础设施使用数据与基础设施其他组成部分之间的关系，可以帮助更好地理解基础设施之间的相互关系，最终提高基础设施的可持续性和弹性。在本研究中，我们重点关注电力消耗和出行需求。简而言之，前提是当人们在建筑物中消耗电力时，他们不会在道路上产生交通，反之亦然，因此存在相互关系。我们使用长短时记忆（LSTM）网络根据同一邮政编码和附近邮政编码的交通量来对邮政编码的电力消耗模式进行建模。为此，我们合并了 2017 年 11 月在芝加哥的两个数据集：（1）在芝加哥市内以 30 分钟为间隔的汇总电力使用数据，以及（2）在芝加哥高速公路网络上捕获的交通量数据。进行了四项分析以识别相互关系：（a）两个时间序列之间的相关性，（b）时间关系，（c）空间关系，以及（d）基于总交通量预测电力消耗。总体而言，在 250 多个模型中，我们确定并讨论了出行需求和电力消耗之间的复杂相互关系。我们还分析和讨论了模型性能在芝加哥各地的变化方式和原因。
