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Investigating Smart City Development Based on Green Buildings, Electrical Vehicles and Feasible Indicators

doi: 10.3390/su13147808
handle: 11573/1611574 , 10072/407828
With a goal of achieving net-zero emissions by developing Smart Cities (SCs) and industrial decarbonization, there is a growing desire to decarbonize the renewable energy sector by accelerating green buildings (GBs) construction, electric vehicles (EVs), and ensuring long-term stability, with the expectation that emissions will need to be reduced by at least two thirds by 2035 and by at least 90% by 2050. Implementing GBs in urban areas and encouraging the use of EVs are cornerstones of transition towards SCs, and practical actions that governments can consider to help with improving the environment and develop SCs. This paper investigates different aspects of smart cities development and introduces new feasible indicators related to GBs and EVs in designing SCs, presenting existing barriers to smart cities development, and solutions to overcome them. The results demonstrate that feasible and achievable policies such as the development of the zero-energy, attention to design parameters, implementation of effective indicators for GBs and EVs, implementing strategies to reduce the cost of production of EVs whilst maintaining good quality standards, load management, and integrating EVs successfully into the electricity system, are important in smart cities development. Therefore, strategies to governments should consider the full dynamics and potential of socio-economic and climate change by implementing new energy policies on increasing investment in EVs, and GBs development by considering energy, energy, techno-economic, and environmental benefits.
- Islamic Azad University, UAE Branch United Arab Emirates
- Griffith University Australia
- King Abdul Aziz University Hospital Saudi Arabia
- Yonsei University Korea (Republic of)
- Northumbria University United Kingdom
H200, smart cities, H600, Environmental Studies, green buildings, Environmental engineering, TJ807-830, TD194-195, Renewable energy sources, electric vehicles; green buildings; Indicators; policy; smart cities, GE1-350, Green & Sustainable Science & Technology, electric vehicles, Built environment and design, Science & Technology, Environmental effects of industries and plants, G700, G600, indicators, Environmental sciences, Life Sciences & Biomedicine, Environmental Sciences, policy
H200, smart cities, H600, Environmental Studies, green buildings, Environmental engineering, TJ807-830, TD194-195, Renewable energy sources, electric vehicles; green buildings; Indicators; policy; smart cities, GE1-350, Green & Sustainable Science & Technology, electric vehicles, Built environment and design, Science & Technology, Environmental effects of industries and plants, G700, G600, indicators, Environmental sciences, Life Sciences & Biomedicine, Environmental Sciences, policy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).52 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
