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 webinar, led by UBDC's Dr Jing Yao, we introduced some classic facility location models, with examples of location-allocation analyses in ArcGIS using open data.

In this session, we used typical facility location models such as Location Set Covering Problem and Maximal Covering Location Problem.

This webinar is presented by:

Dr Jing Yao, Senior Lecturer (Urban Studies), School of Social & Political Sciences, University of Glasgow
Weicong Luo, PhD student, University of Glasgow
Dr Muir Houston, Senior Lecturer (Social Justice Place & Lifelong Education), School of Education, University of Glasgow

The related resources for this webinar (including a PDF of the transcription) can be viewed/downloaded at: https://www.ubdc.ac.uk/datadives#loca...

This webinar was part of a series of free online interactive tutorials, which took place throughout October 2020 and were delivered by members of our research staff who shared their knowledge and advice on working with novel forms of data.

You can find out more about these interactive data dives and get more resources at: https://www.ubdc.ac.uk/datadives