Blar i NTNU Open på forfatter "Ratti, Carlo"

Viser treff 1-7 av 7

    • Air Quality Monitoring in Coal-Centric Cities: A Hybrid Approach 

      Mora, Simone; deSouza, Priyanka N.; Duarte, Fábio; Wang, An; Paul, Sanjana; Berrones, Antonio; Ratti, Carlo (Journal article, 2023)
      Despite the increasing time sensitivity of climate change, many cities worldwide still heavily rely on coal. The extraction, processing, transport, and usage of coal lead to deteriorated air quality, resulting in complex ...

    • Evaluating the Meteorological Effects on the Urban Form–Air Quality Relationship Using Mobile Monitoring 

      Tian, Ye; deSouza, Priyanka; Mora, Simone; Yao, Xiaobai; Duarte, Fábio; Norford, Leslie; Lin, Hui; Ratti, Carlo (Peer reviewed; Journal article, 2022)
      Predictive models based on mobile measurements have been increasingly used to understand the spatiotemporal variations of intraurban air quality. However, the effects of meteorological factors, which significantly affect ...

    • GIScience can facilitate the development of solar cities for energy transition 

      Zhu, Rui; Kwan, Mei-Po; Perera, A.T.D.; Fan, Hongchao; Yang, Bisheng; Chen, Biyu; Chen, Min; Qian, Zhen; Zhang, Haoran; Zhang, Xiaohu; Yang, Jinxin; Santi, Paolo; Ratti, Carlo; Li, Wenting; Yan, Jinyue (Peer reviewed; Journal article, 2023)
      The energy transition is increasingly being discussed and implemented to cope with the growing environmental crisis. However, great challenges remain for effectively harvesting and utilizing solar energy in cities related ...

    • Hyperlocal environmental data with a mobile platform in urban environments 

      Wang, An; Mora, Simone; Machida, Yuki; deSouza, Priyanka; Paul, Sanjana; Oyinlola, Oluwatobi; Duarte, Fábio; Ratti, Carlo (Peer reviewed; Journal article, 2023)
      Environmental data with a high spatio-temporal resolution is vital in informing actions toward tackling urban sustainability challenges. Yet, access to hyperlocal environmental data sources is limited due to the lack of ...

    • Improving NO2 prediction by integrating tree diversity, urban form, and scale sensitivity through mobile monitoring 

      Tian, Ye; Wang, An; Mora, Simone; deSouza, Priyanka; Yao, Xiaobai; Duarte, Fábio; Lin, Hui; Ratti, Carlo (Journal article; Peer reviewed, 2023)
      Air pollution is a major threat to public health. However, two issues have not been adequately addressed in most conventional Land Use Regression models for air pollution prediction: 1). A combination of urban forest ...

    • Key Themes, Trends, and Drivers of Mobile Ambient Air Quality Monitoring: A Systematic Review and Meta-Analysis 

      Wang, An; Paul, Sanjana; deSouza, Priyanka; Machida, Yuki; Mora, Simone; Duarte, Fábio; Ratti, Carlo (Journal article; Peer reviewed, 2023)
      Mobile ambient air quality monitoring is rapidly changing the current paradigm of air quality monitoring and growing as an important tool to address air quality and climate data gaps across the globe. This review seeks to ...

    • Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings 

      Wang, An; Machida, Yuki; deSouza, Priyanka; Mora, Simone; Duhl, Tiffany; Hudda, Neelakshi; Durant, John L.; Duarte, Fábio; Ratti, Carlo (Peer reviewed; Journal article, 2023)
      Low-cost air sensing is changing the paradigm of ambient air quality management research and practices. However, consensus on a structured low-cost sensor calibration and performance evaluation framework is lacking. Our ...