Artificial Intelligence and Human Senses for the Evaluation of Urban Surroundings
Traditional city planning and design tools require major restructuring. Even with the rapid growth in the availability of mobile communication devices, connectivity, data generation, and analysis tools, the idea of the creation of citizen-centric and smart cities has not been fully conceptualized. Individual perception and preferences toward urban spaces play an important role in mental satisfaction and wellbeing. However, the notion has not been studied and experimented along with various planning instruments. This study discusses the recent studies involving Artificial intelligence tools and sensory data collection. This paper further comment on the integrated methodology to collect sensory datasets that will further help in the evaluation of urban surroundings with individual perspectives.
KeywordsUrban perception Deep learning Sensory datasets City planning
The authors would like to thank the Ministry of Human Resource Development (MHRD), India and Industrial Research and Consultancy Centre (IRCC), IIT Bombay for funding this study under the grant titled Frontier Areas of Science and Technology (FAST), Centre of Excellence in Urban Science and Engineering (grant number 14MHRD005).
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