The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …

Recently, many AI researchers and practitioners have embarked on research visions that
involve doing AI for “Good”. This is part of a general drive towards infusing AI research and …

We propose a participatory development process to address critiques of Planning Support
Systems (PSS) that focus on their shortcomings of the empowerment of stakeholders and the …

Participatory planning is a democratic spatial decision-making process involving multiple
stakeholders. The integration of artificial intelligence (AI) methods in participatory planning …

A key indicator of urban change is construction, demolition, and renovation. Although these
development activities are often interrelated, they are typically studied independent of one …

Data science is an interdisciplinary field that extracts insights from data through a multi-stage
process of data collection, analysis and use. When data science is applied for social good, a …

This paper proposes that urban informatics can represent a flow of information from diverse
and voluminous data into and back from the planning process. We present a proof-of …

In the 1930s, the federal Home Owners' Loan Corporation (HOLC) created maps of
American cities that were used to restrict investment in minority neighborhoods, leaving a …

Displacement is detrimental not only to displaced individuals and families but also to the
communities left behind and their ability to collectively resist and mobilize against global …