Computational Sustainability and Design

Computational Sustainability and Design  is a section of the open access journal City and Built Environment published by Springer.

City and Built Environment focuses on newer fields related to various forms of urbanization and development, which resolves those related challenges from a world view perspective. The inner relationship between buildings and cities, as well as the complicated interactions among people, building and city will be emphasized. The topics covered include but are not limited to low carbon city and building design, healthy and safe urban built environment, smart cities, city planning, urban climate. The journal publishes both Original Research Articles and Reviews.

Computational Sustainability and Design caters for computational designers, architects, urban designers, planners, scholars and policy-makers interested in sustainability and sustainable futures.This section publishes high-quality research on advanced design approaches, data-driven methods and algorithmic models that contribute to the global effort on climate change and sustainable future cities. The collection is mapped to the UN Sustainable Development Goal 11: to “Make cities and human settlements inclusive, safe, resilient and sustainable”.

Computational Sustainability and Design aims at the advancement of current knowledge on analysis, design and management of cities and urban communities, tacking global challenges and targets, including Race to Zero, Zero Carbon buildings, intelligent and sustainable future cities, and resilient communities.

CSD welcomes contributions from a range of design and related fields, including architecture, planning, urban design, computer science, engineering, data science, urban and human geography, and urban studies. In particular, the collection is intended as a platform for presentation and debate around impactful case studies, projects, analyses and critical studies emerging as the collaboration of transnational and multidisciplinary research and design teams.

Examples of topics relevant to CSD include, but are not limited to:

  • Innovative algorithmic approaches to sustainable aspects of design
  • Data-driven models applied to cities and communities
  • Computational methods applied to urban contexts
  • Generative design for sustainability
  • Analytical work on cities and predictive models for future cities
  • Data science models applied to more inclusive communities and urban developments

For more information, please contact Section Editor Silvio Carta or Associate Editor Yifan Fan, Zhejiang University, Hangzhou, China.