DOE OSTI · 2573377
Location-allocation and public transit: An update on UCL student teacher placements
Abstract
Location-allocation is a key application of GIS, with many varied applications. We present further development of a location-allocation tool for a real-world case study with UCL using public transport. The location of UCL in Greater London (UK) means that the inclusion of public transport is vital for this case study. The location-allocation is implemented as a capacitated p-median location-allocation model, using spopt, a library in the Python Spatial Analysis Library (PySAL) ecosystem. The initial results of this work are promising, with calculation times reduced by up to 60%, and the majority of students allocated shorter journey times, with further testing ongoing.
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Bearman, Nick [University College London (UCL), UK] (ORCID:0000000283964061), Gaboardi, James [ORNL] (ORCID:0000000247766826), Roddy, Patrick J. [University College London (UCL), UK] (ORCID:0000000262711700), Zhao, Qunshan [University of Glasgow, UK] (ORCID:0000000255499457), Chen, Huanfa [University College London (UCL), UK] (ORCID:0000000245187601), Wolf, Levi [University of Bristol, UK] (ORCID:000000030274599X). 2025-04-01. Location-allocation and public transit: An update on UCL student teacher placements. https://doi.org/10.5281/zenodo.15231178
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