Urban intensity parameterisation
The fast pace of urbanisation has led to the rapid development of high-density urban systems. Such systems while providing for key infrastructure services, are vulnerable to threats. It is thus important to analyse the relationship between urban systems demand and urban intensity. The objective of t...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2021
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Online Access: | https://hdl.handle.net/10356/149138 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | The fast pace of urbanisation has led to the rapid development of high-density urban systems. Such systems while providing for key infrastructure services, are vulnerable to threats. It is thus important to analyse the relationship between urban systems demand and urban intensity. The objective of this study is to investigate the use of monthly electricity consumption as a proxy to measure the spatial urban intensity in Singapore, in particular, over the 55 planning areas. A further objective is to determine the sources of electricity for each planning area, which enable the investigation of the resiliency of the power system in Singapore. This study will focus on year 2017. To determine the monthly electricity consumption in Singapore by planning area, electricity data from the Singapore Energy Statistics 2018 by the Energy Market Authority (EMA) (2018) as well as the land use plan in the Master Plan 2014 by the Urban Redevelopment Authority (URA) (2014) were used as the main data sources. The calculations for the electricity consumption were further divided into four sectors which were Households, Transport-related, Industrial-related and Commerce & Services-related. The results from this study showed that the top five planning areas with the highest monthly electricity consumption were Tuas, Tampines, Queenstown, Geylang and Pioneer. For Tuas, Geylang and Pioneer, the Industrial-related sector contributed the most electricity consumption while for Tampines and Queenstown, the Commerce & Services-related sector contributed the most. Overall, it can be seen that the differences in electricity consumption amongst the planning areas were due to the different land uses within each area. Insights from this study will help urban planners in the development of land use plans to enhance the resiliency of the urban systems, especially the power system. |
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