Siting key facilities, such as hospitals and fire stations, in the right locations is vital for providing the services we need.

Cities are continually reviewing the location of these facilities as populations grow or services are reorganised. New technologies, such as electric or hydrogen power for vehicles, can create demand for new networks of service centres within existing urban areas.

In this project, we attempt to develop and apply spatially-explicit location models to assist with decision-making concerning site selections in both the public and private sectors. This requires collaborative partnerships between academia and public/private sectors in data and knowledge sharing. Geographical information systems (GIS) and spatial optimization have been widely applied in location analysis and business site selection. We are also interested in developing new methods and algorithms of location analysis that apply to new forms of urban big data.

Aims and Objectives

The main aims of this project are to work with governmental agencies, non-governmental organisations (NGOs), and industry partners to:

  • Evaluate the current urban facility locations and their service efficiency
  • Guide future city infrastructure (re)development via location analysis and modeling
  • Enhance the understanding and use of location modeling for organisations with limited resources

Impact

This project will establish connections and collaborations with several governmental agencies and non-governmental organizations, initially in the UK, US and China. The research results can guide the future (re)development of urban facilities to better serve urban residents with limited resources and improve the overall operational efficiency of the city.

Researchers

Leads: Dr Jing Yao and Dr Qunshan Zhao

Partners

Latest Outputs

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