Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Smart Cities’ Strategies to Ameliorate Environmental Impacts of Rapid Urbanization in Beijing, China

Version 1 : Received: 22 July 2021 / Approved: 23 July 2021 / Online: 23 July 2021 (15:01:36 CEST)

A peer-reviewed article of this Preprint also exists.

Fiscal, P.R.; Taratori, R.; Pacho, M.A.; Ioakimidis, C.S.; Koutra, S. A Strategic and Smart Environmental Assessment of Rapid Urbanization in Beijing. Energies 2021, 14, 5138. Fiscal, P.R.; Taratori, R.; Pacho, M.A.; Ioakimidis, C.S.; Koutra, S. A Strategic and Smart Environmental Assessment of Rapid Urbanization in Beijing. Energies 2021, 14, 5138.

Abstract

One of the main drivers behind the urbanization process is attributed to economic fundamentals of urban growth, which boost migration from rural to urban context. This migration can be studied geographically, with increasing rates of population as the main component in developing countries, over Asia and Africa, specifically. Research has been focusing in creating models and adaptative schemes to manage and plan cities to promote sustainable development for housing large quantities of population and preserve a long-term living environment. The approach from a smart city perspective, adjusted to the rapid urbanization condition can be helpful to deal urban issues by convergence and interaction between urban agents and information technology. At academia, few works have addressed the role of Smart Cities to face the challenge of rapid urbanization. The aim of this study is to research and analyze if strategies with smart city vision can lessen environmental impacts at cases with rapid urbanization, and how can we leverage technology to promote environmental sustainability at rapid urbanization phenomena occurring at developing countries using RIAM environmental assessment method in the case of Beijing, China'.

Keywords

Developing countries; Environmental Impact Assessment; Rapid urbanization; Smart strategies

Subject

Engineering, Control and Systems Engineering

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