Papers
Peer Reviewed Journals
Ballantyne, P., Filomena, G., Rowe, F., & Singleton, A. (2024). Developing two-dimensional indicators of transport demand and supply to promote sustainable transportation equity. Computers, Environment and Urban Systems, 113, 102179. https://doi.org/10.1016/j.compenvurbsys.2024.102179
Ballantyne, P., & Singleton, A. (2024). Using composite indicators and city dashboards to promote place-based policy interventions. Cities, 154, 105329. https://doi.org/10.1016/j.cities.2024.105329
Berragan, C., Singleton, A., Calafiore, A., & Morley, J. (2024). Mapping cognitive place associations within the united kingdom through online discussion on reddit. Transactions of the Institute of British Geographers, 49(3), e12669. https://doi.org/10.1111/tran.12669
Berragan, C., Singleton, A., Calafiore, A., & Morley, J. (2024). Mapping great britain’s semantic footprints through a large language model analysis of reddit comments. Computers, Environment and Urban Systems, 110, 102121. https://doi.org/10.1016/j.compenvurbsys.2024.102121
Longley, P. A., Cheshire, J., & Singleton, A. (2024). “Research ready” geographically enabled smart data. Annals of GIS, 30(3), 267–273. https://doi.org/10.1080/19475683.2024.2353035
Neville, R., Rowe, F., & Singleton, A. (2024). Nonlinear relationships between human development and international student mobility: The prominent role of employment prospects and cultural and linguistic ties. Population, Space and Place, 30(5), e2764. https://doi.org/10.1002/psp.2764
Singleton, A. D., & Longley, P. A. (2024). Classifying and mapping residential structure through the london output area classification. Environment and Planning B: Urban Analytics and City Science, 51(5), 1153–1164. https://doi.org/10.1177/23998083241242913
Singleton, A. D., & Spielman, S. (2024). Segmentation using large language models: A new typology of american neighborhoods. EPJ Data Science, 13(1), 34. https://doi.org/10.1140/epjds/s13688-024-00466-1
Ward, C., Robinson, C., Singleton, A., & Rowe, F. (2024). Spatial-temporal dynamics of gas consumption in england and wales: Assessing the residential sector using sequence analysis. Applied Spatial Analysis and Policy, 17(3), 1273–1300. https://doi.org/10.1007/s12061-024-09584-9
Gibbs, H., Ballantyne, P., Cheshire, J., Singleton, A., & Green, M. A. (2023). Harnessing mobility data to capture changing work from home behaviours between censuses. The Geographical Journal, 190(2), e12555. https://doi.org/10.1111/geoj.12555
Macdonald, J. L., Green, M. A., Gibin, M., Leech, S., Singleton, A., & Longley, P. (2023). Local data spaces: Leveraging trusted research environments for secure location-based policy research in the age of coronavirus disease-2019. Data & Policy, 5, e22. https://doi.org/10.1017/dap.2023.14
Wyszomierski, J., Longley, P. A., Singleton, A. D., Gale, C., & O’Brien, O. (2023). A neighbourhood output area classification from the 2021 and 2022 UK censuses. The Geographical Journal, 190(2), e12550. https://doi.org/10.1111/geoj.12550
Philp, S., Dolega, L., Singleton, A., & Green, M. (2022). Archetypes of footfall context: Quantifying temporal variations in retail footfall in relation to micro-location characteristics. Applied Spatial Analysis and Policy, 15(1), 161–187. https://doi.org/10.1007/s12061-021-09396-1
Ballantyne, P., Singleton, A., Dolega, L., & Credit, K. (2022). A framework for delineating the scale, extent and characteristics of american retail centre agglomerations. Environment and Planning B: Urban Analytics and City Science, 49(3), 1112–1128. https://doi.org/10.1177/23998083211040519
Ballantyne, P., Singleton, A., Dolega, L., & Macdonald, J. (2022). Integrating the who, what, and where of u.s. Retail center geographies. Annals of the American Association of Geographers, 0(0), 1–23. https://doi.org/10.1080/24694452.2022.2098087
Berragan, C., Singleton, A., Calafiore, A., & Morley, J. (2022). Transformer based named entity recognition for place name extraction from unstructured text. International Journal of Geographical Information Science, 0(0), 1–20. https://doi.org/10.1080/13658816.2022.2133125
Calafiore, A., Macdonald, J. L., & Singleton, A. (2022). Decomposing the temporal signature of nitrogen dioxide declines during the COVID-19 pandemic in UK urban areas. Applied Spatial Analysis and Policy. https://doi.org/10.1007/s12061-022-09438-2
Chen, M., Liu, Y., Arribas-Bel, D., & Singleton, A. (2022). Assessing the value of user-generated images of urban surroundings for house price estimation. Landscape and Urban Planning, 226, 104486. https://doi.org/10.1016/j.landurbplan.2022.104486
Green, M. A., Hungerford, D. J., Hughes, D. M., Garcia-Fiñana, M., Turtle, L., Cheyne, C., Ashton, M., Leeming, G., Semple, M. G., Singleton, A., & Buchan, I. (2022). Changing patterns of SARS-CoV-2 infection through delta and omicron waves by vaccination status, previous infection and neighbourhood deprivation: A cohort analysis of 2.7 m people. BMC Infectious Diseases, 22(1), 889. https://doi.org/10.1186/s12879-022-07878-2
Lan, T., O’Brien, O., Cheshire, J., Singleton, A., & Longley, P. (2022). From data to narratives: Scrutinising the spatial dimensions of social and cultural phenomena through lenses of interactive web mapping. Journal of Geovisualization and Spatial Analysis, 6(2). https://doi.org/10.1007/s41651-022-00117-x
Macdonald, J. L., Dolega, L., & Singleton, A. (2022). An open source delineation and hierarchical classification of UK retail agglomerations. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01556-3
Singleton, A., Arribas-Bel, D., Murray, J., & Fleischmann, M. (2022). Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network. Computers, Environment and Urban Systems, 95, 101802. https://doi.org/10.1016/j.compenvurbsys.2022.101802
Spielman, S. E., & Singleton, A. D. (2022). A generalized model of activity space. Annals of the American Association of Geographers, 1–18. https://doi.org/10.1080/24694452.2022.2077165
Ballantyne, P., Singleton, A., & Dolega, L. (2021). A regional exploration of retail visits during the COVID-19 pandemic. Regional Studies, Regional Science, 8(1), 366–370. https://doi.org/10.1080/21681376.2021.1973548
Calafiore, A., Palmer, G., Comber, S., Arribas-Bel, D., & Singleton, A. (2021). A geographic data science framework for the functional and contextual analysis of human dynamics within global cities. Computers, Environment and Urban Systems, 85, 101539. https://doi.org/10.1016/j.compenvurbsys.2020.101539
Green, M., Musi, E., Rowe, F., Charles, D., Pollock, F. D., Kypridemos, C., Morse, A., Rossini, P., Tulloch, J., Davies, A., Dearden, E., Maheswaran, H., Singleton, A., Vivancos, R., & Sheard, S. (2021). Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study. Big Data & Society, 8(1), 205395172110138. https://doi.org/10.1177/20539517211013869
Palmer, G., Green, M., Boyland, E., Vasconcelos, Y. S. R., Savani, R., & Singleton, A. (2021). A deep learning approach to identify unhealthy advertisements in street view images. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-84572-4
Yao, L., Singleton, A., Sun, P., & Dong, G. (2021). The evolution characteristics and influence mechanism of chinese venture capital spatial agglomeration. International Journal of Environmental Research and Public Health, 18(6), 2974. https://doi.org/10.3390/ijerph18062974
Chen, M., Arribas-Bel, D., & Singleton, A. (2020). Quantifying the characteristics of the local urban environment through geotagged flickr photographs and image recognition. ISPRS International Journal of Geo-Information, 9(4), 264. https://doi.org/10.3390/ijgi9040264
Comber, S., Arribas-Bel, D., Singleton, A., & Dolega, L. (2020). Using convolutional autoencoders to extract visual features of leisure and retail environments. Landscape and Urban Planning, 202, 103887. https://doi.org/10.1016/j.landurbplan.2020.103887
Liu, Y., Singleton, A., & Arribas-Bel, D. (2020). Considering context and dynamics: A classification of transit-orientated development for new york city. Journal of Transport Geography, 85, 102711. https://doi.org/10.1016/j.jtrangeo.2020.102711
Singleton, A., Alexiou, A., & Savani, R. (2020). Mapping the geodemographics of digital inequality in great britain: An integration of machine learning into small area estimation. Computers, Environment and Urban Systems, 82, 101486. https://doi.org/10.1016/j.compenvurbsys.2020.101486
Singleton, A., & Singleton, A. (2020). Using loyalty card records and machine learning to understand how self-medication purchasing behaviours vary seasonally in england, 2012–2014. Applied Marketing Analytics. https://tinyurl.com/ssbfx69s
Chen, M., Arribas-Bel, D., & Singleton, A. (2019). Understanding the dynamics of urban areas of interest through volunteered geographic information. Journal of Geographical Systems, 21(1), 89–109. https://doi.org/10.1007/s10109-018-0284-3
Comber, S., Arribas-Bel, D., Singleton, A., Dong, G., & Dolega, L. (2019). Building hierarchies of retail centers using bayesian multilevel models. Annals of the American Association of Geographers, 110(4), 1150–1173. https://doi.org/10.1080/24694452.2019.1667219
Daras, K., Green, M. A., Davies, A., Barr, B., & Singleton, A. (2019). Open data on health-related neighbourhood features in great britain. Scientific Data, 6(1), 107. https://doi.org/10.1038/s41597-019-0114-6
Dolega, L., Reynolds, J., Singleton, A., & Pavlis, M. (2019). Beyond retail: New ways of classifying UK shopping and consumption spaces. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808319840666
Liu, Y., Singleton, A., & Arribas-Bel, D. (2019). A principal component analysis (PCA)-based framework for automated variable selection in geodemographic classification. Geo-Spatial Information Science, 22(4), 251–264. https://doi.org/10.1080/10095020.2019.1621549
Singleton, A. D., & Longley, P. A. (2019). Data infrastructure requirements for new geodemographic classifications: The example of london’s workplace zones. Applied Geography, 109. https://doi.org/10.1016/j.apgeog.2019.102038
Singleton, A., & Arribas-Bel, D. (2019). Geographic data science. Geographical Analysis. https://doi.org/10.1111/gean.12194
Davies, A., Green, M. A., & Singleton, A. D. (2018). Using machine learning to investigate self-medication purchasing in england via high street retailer loyalty card data. PLoS ONE, 13(11). https://doi.org/10.1371/journal.pone.0207523
Green, M. A., Daras, K., Davies, A., Barr, B., & Singleton, A. (2018). Developing an openly accessible multi-dimensional small area index of ?access to healthy assets and hazards? For great britain, 2016. Health and Place, 54, 11–19. https://doi.org/10.1016/j.healthplace.2018.08.019
Pavlis, M., Dolega, L., & Singleton, A. (2018). A modified DBSCAN clustering method to estimate retail center extent. Geographical Analysis, 50(2), 141–161. https://doi.org/10.1111/gean.12138
Thiele, T., Pope, D., Singleton, A., & Stanistreet, D. (2018). Exploring the use of mixed methods in research and evaluation of widening participation interventions: Guidance for practitioners. Widening Participation and Lifelong Learning, 20(4), 7–38. https://doi.org/10.5456/wpll.20a.7
Harris, R., O?Sullivan, D., Gahegan, M., Charlton, M., Comber, L., Longley, P., Brunsdon, C., Malleson, N., Heppenstall, A., Singleton, A., Arribas-Bel, D., & Evans, A. (2017). More bark than bytes? Reflections on 21+ years of geocomputation. Environment and Planning B: Urban Analytics and City Science, 44(4), 598–617. https://doi.org/10.1177/2399808317710132
Thiele, T., Pope, D., Singleton, A., Snape, D., & Stanistreet, D. (2017). Experience of disadvantage: The influence of identity on engagement in working class students? Educational trajectories to an elite university. British Educational Research Journal, 43(1), 49–67. https://doi.org/10.1002/berj.3251
Alexiou, A., Singleton, A., & Longley, P. A. (2016). A classification of multidimensional open data for urban morphology. Built Environment, 42(3), 382–395. https://doi.org/10.2148/benv.42.3.382
Dolega, L., Pavlis, M., & Singleton, A. (2016). Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations. Journal of Retailing and Consumer Services, 28, 78–90. https://doi.org/10.1016/j.jretconser.2015.08.013
Gale, C. G., Singleton, A. D., Bates, A. G., & Longley, P. A. (2016). Creating the 2011 area classification for output areas (2011 OAC). Journal of Spatial Information Science, 12(2016), 1–27. https://doi.org/10.5311/JOSIS.2016.12.232
Lloyd, C. D., Catney, G., & Singleton, A. (2016). Guest editorial: Modelling urban behaviour. Applied Spatial Analysis and Policy, 9(2), 141–143. https://doi.org/10.1007/s12061-016-9195-1
Singleton, A. D., Dolega, L., Riddlesden, D., & Longley, P. A. (2016). Measuring the spatial vulnerability of retail centres to online consumption through a framework of e-resilience. Geoforum, 69, 5–18. https://doi.org/10.1016/j.geoforum.2015.11.013
Singleton, A. D., Spielman, S., & Brunsdon, C. (2016). Establishing a framework for open geographic information science. International Journal of Geographical Information Science, 30(8), 1507–1521. https://doi.org/10.1080/13658816.2015.1137579
Singleton, A., Pavlis, M., & Longley, P. A. (2016). The stability of geodemographic cluster assignments over an intercensal period. Journal of Geographical Systems, 18(2), 97–123.
Thiele, T., Pope, D., Singleton, A., & Stanistreet, D. (2016). Role of students’ context in predicting academic performance at a medical school: A retrospective cohort study. BMJ Open, 6(3). https://doi.org/10.1136/bmjopen-2015-010169
Rae, A., & Singleton, A. (2015). Putting big data in its place: A regional studies and regional science perspective. Regional Studies, Regional Science, 2(1), 1–5. https://doi.org/10.1080/21681376.2014.990678
Singleton, A. D. (2015). Featured graphic. Transport mode choice and the commute to work. Environment and Planning A, 47(7), 1401–1403. https://doi.org/10.1177/0308518X15595752
Singleton, A. D., & Longley, P. (2015). The internal structure of greater london: A comparison of national and regional geodemographic models. Geo: Geography and Environment, 2(1), 69–87. https://doi.org/10.1002/geo2.7
Spielman, S. E., & Singleton, A. (2015). Studying neighborhoods using uncertain data from the american community survey: A contextual approach. Annals of the Association of American Geographers, 105(5), 1003–1025. https://doi.org/10.1080/00045608.2015.1052335
Bearman, N., & Singleton, A. D. (2014). Modelling the potential impact on CO2 emissions of an increased uptake of active travel for the home to school commute using individual level data. Journal of Transport and Health, 1(4), 295–304. https://doi.org/10.1016/j.jth.2014.09.009
Harris, R., Nicholas, T., Souch, C., Singleton, A., Orford, S., Keylock, C., Jarvis, C., & Brunsdon, C. (2014). Geographers count: A report on quantitative methods in geography. Enhancing Learning in the Social Sciences, 6(2), 43–58. https://doi.org/10.11120/elss.2014.00035
Rae, A., & Singleton, A. (2014). Open access and regional studies, regional science. Regional Studies, Regional Science, 1(1), 1–4. https://doi.org/10.1080/21681376.2013.869423
Riddlesden, D., & Singleton, A. D. (2014). Broadband speed equity: A new digital divide? Applied Geography, 52, 25–33. https://doi.org/10.1016/j.apgeog.2014.04.008
Singleton, A. (2014). A GIS approach to modelling CO2 emissions associated with the pupil-school commute. International Journal of Geographical Information Science, 28(2), 256–273. https://doi.org/10.1080/13658816.2013.832765
Singleton, A. D., & Spielman, S. E. (2014). The past, present, and future of geodemographic research in the united states and united kingdom. Professional Geographer, 66(4), 558–567. https://doi.org/10.1080/00330124.2013.848764
Singleton, A., & Brunsdon, C. (2014). Escaping the pushpin paradigm in geographic information science: (Re)presenting national crime data. Area, 46(3), 294–304. https://doi.org/10.1111/area.12116
Thiele, T., Singleton, A., Pope, D., & Stanistreet, D. (2014). Predicting students’ academic performance based on school and socio-demographic characteristics. Studies in Higher Education, 41(8), 1424–1446. https://doi.org/10.1080/03075079.2014.974528
Adnan, M., Longley, P. A., & Singleton, A. D. (2013). OACoder: Postcode coding tool. Journal of Open Research Software, 1(1), e5. https://doi.org/10.5334/511ba2c94d661
Phillips, R., Frost, D., & Singleton, A. (2013). Researching the riots. Geographical Journal, 179(1), 3–10. https://doi.org/10.1111/j.1475-4959.2012.00463.x
Riddlesden, D., Singleton, A. D., & Fischer, T. B. (2012). A survey of the use of geographic information systems in english local authority impact assessments. Journal of Environmental Assessment Policy and Management, 14(1). https://doi.org/10.1142/S1464333212500068
Singleton, A. D. (2012). The geodemographics of access and participation in geography. Geographical Journal, 178(3), 216–229. https://doi.org/10.1111/j.1475-4959.2012.00467.x
Singleton, A. D., Wilson, A. G., & O’Brien, O. (2012). Geodemographics and spatial interaction: An integrated model for higher education. Journal of Geographical Systems, 14(2), 223–241. https://doi.org/10.1007/s10109-010-0141-5
Brunsdon, C., Longley, P., Singleton, A., & Ashby, D. (2011). Predicting participation in higher education: A comparative evaluation of the performance of geodemographic classifications. Journal of the Royal Statistical Society. Series A: Statistics in Society, 174(1), 17–30. https://doi.org/10.1111/j.1467-985X.2010.00641.x
Mateos, P., Smith, M. de, & Singleton, A. A. (2011). Developments in quantitative human geography, urban modelling, and geographic information science. Transactions in GIS, 15(3), 249–252. https://doi.org/10.1111/j.1467-9671.2011.01258.x
Singleton, A. D., & Lewis, D. J. (2011). Including accident information in automatic bicycle route planning for urban areas. Urban Studies Research, 2011, 1–10. https://doi.org/10.1155/2011/362817
Singleton, A. D., Longley, P. A., Allen, R., & O’Brien, O. (2011). Estimating secondary school catchment areas and the spatial equity of access. Computers, Environment and Urban Systems, 35(3), 241–249. https://doi.org/10.1016/j.compenvurbsys.2010.09.006
Adnan, M., Longley, P. A., Singleton, A. D., & Brunsdon, C. (2010). Towards real-time geodemographics: Clustering algorithm performance for large multidimensional spatial databases. Transactions in GIS, 14(3), 283–297. https://doi.org/10.1111/j.1467-9671.2010.01197.x
Cheshire, J. A., Longley, P. A., & Singleton, A. D. (2010). The surname regions of great britain. Journal of Maps, 6, 401–409. https://doi.org/10.4113/jom.2010.1103
Harris, R., Singleton, A., Grose, D., Brunsdon, C., & Longley, P. (2010). Grid-enabling geographically weighted regression: A case study of participation in higher education in england. Transactions in GIS, 14(1), 43–61. https://doi.org/10.1111/j.1467-9671.2009.01181.x
Longley, P. A., Singleton, A. D., Yano, K., & Nakaya, T. (2010). Lost in translation: Cross-cultural experiences in teaching geo-genealogy. Journal of Geography in Higher Education, 34(1), 21–38. https://doi.org/10.1080/03098260902982476
Singleton, A. D. (2010). The geodemographics of educational progression and their implications for widening participation in higher education. Environment and Planning A, 42(11), 2560–2580. https://doi.org/10.1068/a42394
Longley, P. A., & Singleton, A. D. (2009). Classification through consultation: Public views of the geography of the e-society. International Journal of Geographical Information Science, 23(6), 737–763. https://doi.org/10.1080/13658810701704652
Longley, P. A., & Singleton, A. D. (2009). Linking social deprivation and digital exclusion in england. Urban Studies, 46(7), 1275–1298. https://doi.org/10.1177/0042098009104566
Mateos, P., Singleton, A., & Longley, P. (2009). Uncertainty in the analysis of ethnicity classifications: Issues of extent and aggregation of ethnic groups. Journal of Ethnic and Migration Studies, 35(9), 1437–1460. https://doi.org/10.1080/13691830903125919
Singleton, A. D. (2009). Data mining course choice sets and behaviours for target marketing of higher education. Journal of Targeting, Measurement and Analysis for Marketing, 17(3), 157–170. https://doi.org/10.1057/jt.2009.13
Singleton, A. D., & Longley, P. A. (2009). Creating open source geodemographics: Refining a national classification of census output areas for applications in higher education. Papers in Regional Science, 88(3), 643–666. https://doi.org/10.1111/j.1435-5957.2008.00197.x
Singleton, A. D., & Longley, P. A. (2009). Geodemographics, visualisation, and social networks in applied geography. Applied Geography, 29(3), 289–298. https://doi.org/10.1016/j.apgeog.2008.10.006
Gibin, M., Singleton, A., Milton, R., Mateos, P., & Longley, P. (2008). An exploratory cartographic visualisation of london through the google maps API. Applied Spatial Analysis and Policy, 1(2), 85–97. https://doi.org/10.1007/s12061-008-9005-5
Haklay, M., Singleton, A., & Parker, C. (2008). Web mapping 2.0: The neogeography of the GeoWeb. Geography Compass, 2(6), 2011–2039. https://doi.org/10.1111/j.1749-8198.2008.00167.x