Quantifying the spatiotemporal mismatches between energy consumption and population: A comparative study in Guangzhou and Shenzhen, China

Abstract

Mismatches between energy consumption and population have been identified as key factors in generating energy deficiency. Previous studies have focused on assessing mismatches between energy consumption and population on a global scale owing to insufficient data of sufficient spatiotemporal resolution. In this study, we propose a methodology for quantifying such mismatches using mobile phone signaling data and remote sensing nighttime light data at the global and regional scales in two cities. The mobile phone signaling data were useful for assessing global and regional mismatches between energy consumption and population. The underallocation of energy dominated the central urban areas of the study area. The underallocation of energy was more marked on weekdays. Three forms of mismatch were found in the study areas: U, inverted U, and near-linear-shaped. The job–house balance was negatively associated with regional mismatches between population and energy consumption over time. The job-house balance is negative with energy mismatches. This study measured the mismatch between energy and population at multiple spatial scales and provides scientific support for local energy allocation.