Applications of Big Data and Emerging Technologies for Sustainable Urban Development
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 1410
Special Issue Editors
Interests: data-driven modelling and optimisation; machine learning and data mining in infrastructure systems; urban computing
Interests: big data analytics for transportation systems; interdependent infrastructure network modelling; multi-modal transportation system sustainability
Interests: intelligent transportation systems (ITS); connected & autonomous vehicles (CAV); internet of things (IoT); urban computing; transportation data science
Special Issue Information
Dear Colleagues,
Big data and other emerging technologies (for example, information and communications technologies (ICT)) are transforming the ways humans interact with the built and natural environment, having the promise of improving the quality of life and well-being of many. These technologies, meanwhile, have made urban infrastructure systems unprecedentedly complicated and interconnected over the past decades. On the one hand, large-scale multi-source data (e.g., GPS trajectories, smartphones, parking sensors, building sensors, energy sensors, pipeline sensors, social media, and satellite images) have been collected and archived for years in many cities, but these data resources have not been fully utilised in modelling and decision making toward sustainable cities and communities. On the other hand, machine learning (ML) and Artificial Intelligence (AI) technologies have made great progress in various civil applications such as connected and automated vehicles, ride-hailing services, smart buildings, etc., but it is not yet conclusive what the potential impacts of these technologies are in sustainable urban development. The best ways to leverage these technologies as innovative solutions to support sustainable city development also entail many open research questions. Overall, it is still challenging to outline future applications of big data and emerging technologies for sustainable urban development. Therefore, the guest editor team would like to source studies in the related areas to help readers better understand the recent developments and new challenges in this area.
This Special Issue encourages researchers to present recent outcomes and achievements regarding their applications of big data and emerging technologies for sustainable urban development. Topics of interest include, but are not limited to, the following:
- Advanced sensing and data collection in smart cities;
- Big data analytics in the urban context;
- ML and AI for sustainable urban development;
- Modelling and optimisation of urban systems;
- Large-scale simulation and digital twin for urban systems;
- Urban system as a cyber–physical system;
- Urban system interdependency;
- Impacts of emerging technologies (e.g., connected and automated vehicles, ride-hailing services) on accessibility, mobility, environment, health, equity, and so on;
- Urban system resilicence and climate change;
- Big data and emerging technologies in other aspects (e.g, environment, energy).
Dr. Wei Ma
Dr. Lili Du
Dr. Ziyuan Pu
Dr. Zhiwei Chen
Guest Editors
Manuscript Submission Information
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Keywords
- civil infrastructure systems
- big data analytics
- sustainable urban development
- urban resilicence
- smart cities
- cyber–physical systems
- urban computing
