Abstract
While essential for economic reasons, rapid urbanization has had many negative impacts on the environment and the social wellbeing of humanity. Heavy traffic, unexpected geohazards are some of the effects of uncontrollable development. This situation points its fingerto urban planning and design; there are numerous automation tools to help urban planners assess and forecast, yet unplanned development still occurs, impeding sustainability. Automation tools use machine learning classification models to analyze spatial data and various trend views before planning a new urban development. Although there are many sophisticated tools and massive datasets, big cities with colossal migration still witness traffic jams, pollution, and environmental degradation affecting urban dwellers' quality. This study will analyze the current predictors in urban planning machine learning models and identify the suitable predictors to support sustainable urban planning. A correct set of predictors could improve the efficiency of the urban development classification models and help urban planners to enhance the quality of life in big cities.
Highlights
Growing cities, due to socioeconomic activities, witness the challenges of rapid urbanization much faster
Some of the reviews have detailed out the criteria, like the indicators used in the Support Vector Machines (SVM) model
The recent paradigm shift on urbanization has awakened the need for sustainable urban planning to support sustainability goals
Summary
Due to socioeconomic activities, witness the challenges of rapid urbanization much faster. Once seen as a positive change, has brought many challenges to sustainable development. The United Nations has projected an increase of 60 per cent increase in urbanization in developing countries, and the situation could lead to unmanaged urban development if not handled wisely [2]. The author in [2] has pointed out urbanization is shaped by spatial and urban planning. The rapid growth in the city has brought in much unmannered urban development. The continuous development of facilities to feed the needs of the city population and fuel economic growth has led to challenges from various dimensions, including pollution, health issues, infrastructure congestion and massive traffic
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