Dynamic Spatial Data in Sustainable Smart City
Ms Wong Wai Man PhD Student, Department of Geography, HKU
Globally, the trend of urban migration is vivid, resulting with over 55 per cent of the world’s population residing in urban areas. It suggests that, the unprecedented challenges derive from the worldwide urbanization movement demanded a growing pressure for the government to rethink their city’s positioning, future prospects, and developments. To address the challenge of urbanization requires flexibility to tackle the cultural, environmental, social, technological and economic implication in relation to the development of sustainable smart city. Several international studies have shown that the main reasons for exploring the implementation of smart city is evolved in the areas of Environmental (energy efficiency benefits and sustainable environmental objectives), Social (increasing social inclusiveness) and Economics (enhancing city’s attractiveness). However, attentions have mainly been allocated to environmental sustainability in literatures, where neglecting the social and economic parameters in the attempts to create a sustainable smart city may result in losing its citizens, most of all talents and international business competitiveness. Therefore, a model that has a comprehensive application of advanced information and communication technologies (ICT) and Internet of Things (IoT) in the development of a dynamic system would be required to formulate an optimal integration between these three attributes and greatly help in shaping a citizen-centric city. This research would present the significance of dynamic spatial data in a sustainable smart city by firstly adopting a deductive approach to analyze the environmental and economic impacts of applying smart technologies in building constructions, such as Building Information Modeling (BIM) and Geographic Information Systems (GIS), at pre-construction periods and during construction periods. Secondly, it compares the variations of sustainability indicators through the presence of smart technologies with two sets of construction data under different timeframes. Finally, a qualitative approach with e-questionnaires will be used to identify the necessity of citizen’s engagement in maintaining a sustainable community. The study aims to inform policy makers of the importance of dynamic spatial data through analyzing the effects of smart technologies in the three attributes of sustainability when formulating policies for the development of sustainable smart cities.