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Visits: 228

ISSN (print): 2399-8083
ISSN (online): 2399-8091
Journal Sheet: Environment and Planning B | Urban Analytics and City Science

Call of the Journal:


×
- Data Science for Developing Cities

- Smart Cities and Climate-Resilient Urban Planning

Year of the Pubblication: 2021
31
Dec
2020
Abstract Submission Deadline
15
Jan
2021
Abstract Notification of Acceptance
30
Apr
2021
Paper Submission Deadline
31
May
2021
Publishing Date

Add to Calendar 12/31/2020 08:00 Europe/Rome Smart Cities and Climate-Resilient Urban Planning

Rapid advances in Information and Communication Technologies (ICTs) and big data analytics are disrupting almost every aspect of the society. They are believed to help communities to deal with the global change challenges and to make advances towards achieving the Sustainable Development Goals (SDGs). ICTs are expected to shape the future of cities in many sectors such as building, energy, health, land use, transportation, and waste management. Accordingly, cities around the world increasingly adopt smart solutions enabled by advances in ICTs and big data analytics to address the challenges of global change and to create just, sustainable, and resilient communities. While a relatively vast body of research exists on the contributions of smart cities to sustainability and quality of life, modelling and empirical research on actual and potential contributions of smart cities to urban climate resilience is still limited. Cities are home to most of the world population and account for over 70% of global CO2 emissions. On one hand this indicates that a great potential for climate change mitigation exists in cities. On the other, it highlights the significance of building on urban resilience, as higher concentration of population and resources in cities may render them more susceptible to climate change impacts. It is increasingly argued that conventional strategies are not sufficient for addressing global change challenges. Instead, we need to develop disruptive solutions, enabled by ICTs and big data analytics, that provide innovative value propositions and facilitate transformative change. Such disruptive smart city solutions are essential for developing science-based measures, policies, and strategies that improve efficiency and efficacy of mitigation/adaptation efforts and enable cities to address the global change challenges and make progress towards climate-compatible cities that are low carbon and disaster resilient.
Against this backdrop and to address the above gaps, we encourage researchers and practitioners to submit original research articles, case studies and, review articles on topics including, but not limited to, the following: Exploiting IoT and big data analytics for climate-resilient urban planning; ICT-enabled solutions to accelerate progress on climate action in cities; Exploiting smart solutions for developing urban integrated assessment frameworks; Experimental and/or modeling evidence on the contribution of smart city solutions to climate change adaptation and/or mitigation; Methods and approaches for evaluating climate resilience contributions of smart cities; Contributions of mobility-related smart solutions (e.g., ridesourcing, mobility-as-aservice, autonomous vehicles, e-bikes, telecommuting etc.); Contributions related to energy systems (e.g., peer-to-peer electricity trading, electric vehicles-to-grid, time-of-use pricing, etc.); Sustainability, health, and equity co-benefits and trade-offs of smart solutions; Challenges and barriers that need to be addressed for mainstreaming data-driven and climate-resilient urban planning.

United Kingdom
CALL FOR PAPERS
Code: CFP-EPB149-SI1_2021
Posting date: 17/01/2021

Smart Cities and Climate-Resilient Urban Planning


Aims and Scope

Rapid advances in Information and Communication Technologies (ICTs) and big data analytics are disrupting almost every aspect of the society. They are believed to help communities to deal with the global change challenges and to make advances towards achieving the Sustainable Development Goals (SDGs). ICTs are expected to shape the future of cities in many sectors such as building, energy, health, land use, transportation, and waste management. Accordingly, cities around the world increasingly adopt smart solutions enabled by advances in ICTs and big data analytics to address the challenges of global change and to create just, sustainable, and resilient communities. While a relatively vast body of research exists on the contributions of smart cities to sustainability and quality of life, modelling and empirical research on actual and potential contributions of smart cities to urban climate resilience is still limited. Cities are home to most of the world population and account for over 70% of global CO2 emissions. On one hand this indicates that a great potential for climate change mitigation exists in cities. On the other, it highlights the significance of building on urban resilience, as higher concentration of population and resources in cities may render them more susceptible to climate change impacts. It is increasingly argued that conventional strategies are not sufficient for addressing global change challenges. Instead, we need to develop disruptive solutions, enabled by ICTs and big data analytics, that provide innovative value propositions and facilitate transformative change. Such disruptive smart city solutions are essential for developing science-based measures, policies, and strategies that improve efficiency and efficacy of mitigation/adaptation efforts and enable cities to address the global change challenges and make progress towards climate-compatible cities that are low carbon and disaster resilient.
Against this backdrop and to address the above gaps, we encourage researchers and practitioners to submit original research articles, case studies and, review articles on topics including, but not limited to, the following: Exploiting IoT and big data analytics for climate-resilient urban planning; ICT-enabled solutions to accelerate progress on climate action in cities; Exploiting smart solutions for developing urban integrated assessment frameworks; Experimental and/or modeling evidence on the contribution of smart city solutions to climate change adaptation and/or mitigation; Methods and approaches for evaluating climate resilience contributions of smart cities; Contributions of mobility-related smart solutions (e.g., ridesourcing, mobility-as-aservice, autonomous vehicles, e-bikes, telecommuting etc.); Contributions related to energy systems (e.g., peer-to-peer electricity trading, electric vehicles-to-grid, time-of-use pricing, etc.); Sustainability, health, and equity co-benefits and trade-offs of smart solutions; Challenges and barriers that need to be addressed for mainstreaming data-driven and climate-resilient urban planning.

Languages
English
Country
United Kingdom
Topics
Adaptation Strategies, Autonomous Systems, Big Data, Buildings, Case Studies, Clean Energy, Climate Change, Complex Systems, Data Management, Data Sensing and Analysis, Digital Modeling, Dynamic Models, Energy Efficiency, Energy Retrofitting, Energy Savings, Energy Storage, Energy Systems, Energy Transition, Environmental Impact, Environmental Sustainability, Green Buildings, Green Cities, Green Mobility, Green Policies, Health & Wellbeing, Health Emergency, Health Risk, ICT, Innovative Applications, Innovative Approaches, Internet of Things (IoT), Land Use, Landscape, Management, Methodology, Mitigation Strategies, Mobility, Modeling, Planning, Process Modeling and Simulation, Remote Sensing, Renewable Energy, Resilience, Resource Management, Risk Management, SDGs 2030, Smart Buildings, Smart Cities, Smart Devices, Smart Grids, Smart Infrastructure, Smart Mobility, Smart Systems, Smart Tools, Social Sustainability, Sustainability, Sustainable Cities, Sustainable Development, Sustainable Energy, Transport infrastructures, Transports, Urban Areas, Urban Development, Urban Infrastructures, Urban Landscapes, Urban Regeneration, Urban Studies & Planning, Waste Management, Waste Recovery
Review process
The Journal adopts double-blind peer review process
Indexed By

Clarivate Analytics: Current Contents – Social & Behavioral Sciences; Clarivate Analytics: Social Science Citation Index; EBSCOhost; PubMed: MEDLINE (selectively indexed); SCOPUS.

APC

Info at: journals.sagepub.com/author-instructions/EPB#OpenAccess

Web Site
journals.sagepub.com/home/epb
Submit by website
mc04.manuscriptcentral.com/epb
Call webpage
Additional Notice from the Editor

Guest Editors
Ayyoob Sharifi
Yoshiki Yamagata

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