Computational Urban Science - Call for papers: Data Science in City Operations

The following special issue in Computational Urban Science is open for submissions. The submission deadline is January 15, 2023.

Call for papers: Data Science in City Operations

Special Issue Guest Editors:

Yalong Pi (Texas A&M Institute of Data Science; Texas A&M University; USA; Email: piyalong@tamu.edu)

Chengde Wu (Architecture Department; Iowa State University; USA; Email: cdwu@iastate.edu)

Aims and Scope:

Urbanization is attracting an increasing proportion of the global population into cities to live and work, driving the demands for new infrastructure to support the needs of growing population, while changes in land usage may have environmental impact beyond the cities and their inhabitants. These challenges may prompt a reassessment of the designs and operations of city infrastructure, and development of practices that will promote greater sustainability. Accompanying the growth of urbanization, increasing amounts of data have become available from aerial and terrestrial sensing, from instrumentation of services and infrastructure that provides an increasingly granular view of operations and resource usage, from digital simulations at urban scale and building scale, and from the online presence of urban inhabitants through social media and other channels. This data is increasingly important for decision support in the management of services and infrastructure across a range of timescales from daily operations and emergency management to development and planning. Furthermore, recent advances in the systems, methods, and tools of Data Science and Artificial Intelligence (AI) are providing new capabilities to interpret these data and develop models that inform the complex relationship between environment, infrastructure, and population that can help meet the challenges that urbanization presents to city operations.

This special issue calls for contributions concerning the application of Data Science an AI methods to meet the challenges of current and future city operations.

Possible Topics:

Collection methodologies and tools for operational data. Vehicle and pedestrian traffic measurement, modeling, optimization, and forecasting Analysis and planning for consumption and management resources, including land, water, material, and energy.Data-driven disaster and emergency management, including response, mitigation, and recovery.Data-driven architectural and structural design and analysis, as well as planning for infrastructure and urban design Data-driven studies related to inhabitants’ usage and experience of city infrastructure and services including housing, education, health, public services, and public safety Internet of Things, social media analysis, and connected city research

For author instructions, please refer to the “Submission Guidelines (this opens in a new tab)” at the Computational Urban Science journal homepage. All manuscripts, including support materials, must be submitted using the journal's online submission portal (https://www.editorialmanager.com/cusc/default1.aspx). 

When submitting your article, please select the designated Thematic Series “Data Science in City Operations” in the "additional information Questionnaire" (the fourth step). First-time users of the online submission site must register themselves as authors.  

For further questions, please contact Yalong Pi (piyalong@tamu.edu) or Chengde Wu (cdwu@iastate.edu).