Despite the rising interest in smart city initiatives worldwide, governmental theories along with the managerial perspectives of city planning are greatly lacking in the literature. It is definitely understandable that the adoption of configurational pathways toward the ‘smart’ ‘governance’ models is required as a key factor and smartness’ facilitator in modern cities. In this manuscript, we display an exhaustive literature review on the importance of the n-Helix models along with a benchmarking critical approach through selected European case studies. This paper reveals the lack of exhaustive analyses for the methodological investigation, identification, and adoption of the most appropriate governance model per project including collaborative approaches. In addition, the paper deploys modular frameworks to efficiently address the continuous urban challenges, such as the rapid urbanization or the climate change.

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'.