Towards a Smart Neighbourhoods Simulated Model

Towards a Smart Neighbourhoods Simulated Model

Nada M. Alhakkak (Baghdad College of Economic Sciences University, Iraq)
Copyright: © 2020 |Pages: 12
DOI: 10.4018/978-1-7998-3856-2.ch006
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Abstract

The literature generally describes a conventional neighbourhood as an urban area that consists of houses, schools, shopping, religious buildings, and open spaces. This work focuses on the challenge of establishing smart neighbourhoods. The contribution here is in presenting a new model for a smart neighbourhood that contains two frameworks. The first framework is related to input specific parameters from the user and gets reports for timetable, map, and materials. The second framework uses the virtual reality aspect and compound of multiple layers. The concluding remarks figured out that the importance of using the model's work depends on reusing and ABC clustering algorithm.
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Background

The last update of ‘green’ term is now called smart, and as green was and still necessary, the smart term will be always be relevant. Smart product means intelligent and able for connecting, sensing, processing, and react according to other's actions. However, there is no static definition for the term ‘smart city', instead any city could be smart if it becomes more liveable with high response to new technology's challenges (Ahuja, 2016).

People like to live close in sections or blocks of area, those shared blocks so-called neighbourhood, and multiple neighbourhoods form clusters called cities. However, any living place should contain spaces inside it. Those Spaces include homes, buildings, and spaces between all those parties to get smart spaces. This connection via all devices should be managed by using new technologies like DS2O by Pahl, Niedermayer, Kinkelin, and Carle (2013) that handles all devices inside/outside houses and buildings.

Generally speaking, people like to live close in sections or blocks of the area. Those shared blocks called a neighbourhood, and multiple neighbourhoods form clusters called cities. Akl (2015) classified neighbourhoods into three main types of patterns, showing the main features together with advantages and disadvantages. This classification includes interconnected neighbourhood, neighbourhood as a cell, and neighbourhood in the linear township.

However, for any designer or engineer that intend to design or build a smart, sustainable neighbourhood, they should check their progress by going through a checklist. Akl (2015) reported in the “UN-Habit” five principles that used to measure neighbourhood analysis. Those five principles presented a simplified framework for managing the design process that composite of five levels (Table 1).

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