Dr Roberto Murcio
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Overview
Overview
Highlights
Machine learning, Urban analytics and complex networks
Qualifications
- PhD Applied Mathematics
- MSc Computer Sciences
- BSc Mathematics
- BSc Computer Sciences
Web profiles
Administrative responsibilities
- Admissions Deputy - School of Social Sciences
- Admission Tutor - Geography Cluster
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Research
Research
Research interests
- Urban Analytics and Complex Systems
- Machine learning and transport networks
- Mobile data
- Inequality in cities
- Geographical Information Systems
Research overview
My research focuses on the development and application of geospatial models in the context of urban analytics. I study innovative methods to explore how current Data Science and Machine Learning techniques can help us understand the underlying process behind different urban aspects, like commuting patterns and transport inequality
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Supervision and teaching
Supervision and teaching
Supervision
I welcome enquiries from prospective PhD students who are interested in undertaking research in any areas related with Geospatial studies, Machine Learning and Urban Analytics
Teaching
For the MSc Geographic Data Science, I teach the following modules:
Introduction to Geographic Data ScienceGeospatial Programming and Spatial Machine Learning
GeoAI for Social and Urban Applications
In these modules I review different subjects, from how to collect, wrangled and analyse spatial data, to how to build Machine Learning Models with an spatial twist.
I use different technological tools in my courses, including Python, R, DuckDB and QGIS.
At UG (level 4) I teach the Mapping our World module, where students learn cartographic concepts and basic GIS techniques.Teaching modules
- GDS Dissertation (GGPH017D7)
- Mapping our World (SSGE027S4)
- Introduction to Geographic Data Science (SSGE113S7)
- Geospatial Programming and Spatial Machine Learning (SSGE115S7)
- Social and Urban Applications Using Geospatial Technologies (SSGE117S7)
- Masterclass in Social Research (SSPO019S7)
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Publications
Publications
Article
- Bei, H. and Yu, M. and Yang, T. and Murcio Villanueva, Roberto (2025) Optimization of intermodal transportation routes for perishable goods considering customer satisfaction. Research in Transportation Business & Management 59, pp. 101261. ISSN 2210-5395.
- Murcio, Roberto and Wang, Yujue (2025) Identify optimal pedestrian flow forecasting methods in Great Britain retail areas: a comparative study of time series forecasting on a footfall dataset. International journal of Geo-Information 14 (2), ISSN 2220-9964.
- Sari Aslam, Nilufer and Barros, Joana and Lin, H. and Murcio Villanueva, Roberto and Bei, H. (2024) Alighting location estimation from public transit data: a case study of Shenzhen. Transportation Planning and Technology pp. 1-16. ISSN 0308-1060.
- Chen, H. and Gao, X. and Chen, K. and Bei, H. and Murcio Villanueva, Roberto (2024) Addressing the spatial disparity of COVID-19 vaccination services: a spatial optimisation approach. International Journal of Applied Earth Observation and Geoinformation 130, pp. 103881. ISSN 1872-826X.
- Bei, H. and Li, P. and Ca, Z. and Murcio Villanueva, Roberto (2023) The impact of COVID-19 vaccination on human mobility: the London case. Heliyon 9 (8), pp. e18769. ISSN 2405-8440.
- Bei, H. and Wang, Q. and Wang, Y. and Wang, W. and Murcio Villanueva, Roberto (2023) Optimal reinsurance–investment strategy based on stochastic volatility and the Stochastic Interest Rate Model. Axioms ISSN 2075-1680.
External Repositories