Back to Search Start Over

Empowering urban energy transition through data-driven decision-making: A statistical examination of technological innovations in transportation and mobility.

Authors :
Zhang, Fuli
Zhou, Ling
Wang, Zhichen
Lv, Congna
Zhang, Qi
Wang, Jing
Zhang, Jing
Zhang, Yongpeng
Source :
Sustainable Cities & Society; Jul2024, Vol. 106, pN.PAG-N.PAG, 1p
Publication Year :
2024

Abstract

Urban energy consumption is a critical aspect of sustainable urban development, with technological innovations playing a pivotal role in shaping energy usage patterns. This paper presents a comprehensive analysis of urban energy consumption dynamics in relation to the adoption of technology across various sectors, including transportation, residential, industrial, and commercial domains. Through extensive data collection and advanced statistical analyses, we investigate the correlation between technology adoption rates and energy consumption behaviors in urban areas. Our findings reveal a strong positive correlation between technology adoption rates and reduced energy consumption across sectors. We employ spatial analyses to identify localized successes, shedding light on regions where technology-driven initiatives have significantly lowered energy demands. These insights offer valuable guidance for urban planners and policymakers aiming to implement targeted interventions and replicate effective strategies. Furthermore, the paper emphasizes the transformative potential of innovative solutions, ranging from smart infrastructure to industrial automation, in promoting energy efficiency and environmental sustainability. By fostering the integration of such technologies, cities can mitigate their carbon footprint, enhance energy resilience, and create more livable environments for residents. This research contributes to the discourse on urban energy transitions and provides actionable insights for urban policymakers and stakeholders striving for a greener, more sustainable urban future. • Urban energy study integrates tech for sustainable transitions. • Optimized urban planning with technology-driven energy solutions. • Innovative model promotes green, resilient cities through tech adoption. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22106707
Volume :
106
Database :
Supplemental Index
Journal :
Sustainable Cities & Society
Publication Type :
Academic Journal
Accession number :
176649092
Full Text :
https://doi.org/10.1016/j.scs.2024.105374