Bibliography

This page contains all articles from the weekly readings and a few more that may be useful.

Alsudais, Abdulkareem. 2021. “Incorrect Data in the Widely Used Inside Airbnb Dataset.” Decision Support Systems 141:113453. https://doi.org/10.1016/j.dss.2020.113453.
Amoore, L. 2019. Doubt and the Algorithm: On the Partial Accounts of Machine Learning.” Theory, Culture, Society 36 (6):147–69. https://doi.org/10.1177/0263276419851846.
Anderson, C. 2008. The End of Theory: The Data Deluge Makes the Scientific Method Obsolete.” Wired. https://www.wired.com/2008/06/pb-theory/.
Arribas-Bel, Daniel. 2014. “Accidental, Open and Everywhere: Emerging Data Sources for the Understanding of Cities.” Applied Geography 49. Elsevier:45–53. https://doi.org/10.1016/j.apgeog.2013.09.012.
Arribas-Bel, D., and J. Reades. 2018. “Geography and Computers: Past, Present, and Future.” Geography Compass 12 (e12403). https://doi.org/10.1111/gec3.12403.
Badger, E., Q. Bui, and R. Gebeloff. 2019. “Neighborhood Is Mostly Black. The Home Buyers Are Mostly White. New York Times.” New York Times. https://www.nytimes.com/interactive/2019/04/27/upshot/diversity-housing-maps-raleigh-gentrification.html.
Barron, K., E. Kung, and D. Proserpio. 2018. “The Sharing Economy and Housing Affordability: Evidence from Airbnb.” https://static1.squarespace.com/static/5bb2d447a9ab951efbf6d10a/t/5bea6881562fa7934045a3f0/1542088837594/The+Sharing+Economy+and+Housing+Affordability.pdf.
Bemt, V. van den, J. Doornbos, L. Meijering, M. Plegt, and N. Theunissen. 2018. “Teaching Ethics When Working with Geocoded Data: A Novel Experiential Learning Approach.” Journal of Geography in Higher Education 42 (2):293–310. https://doi.org/10.1080/03098265.2018.1436534.
Brockes, E. 2023. Airbnb was wild, disruptive and cheap: we loved it. But it wasn’t a love strong enough to last.” The Guardian. https://www.theguardian.com/commentisfree/2023/mar/08/airbnb-wild-disruptive-cheap-lettings-agency.
Bunday, B. D. n.d. A Final Tale or You Can Prove Anything with Figures.” https://www.ucl.ac.uk/~ucahhwi/AFinalTale.pdf.
Burton, I. 1963. “The Quantitative Revolution and Theoretical Geography.” The Canadian Geographer/Le Géographe Canadien 7 (4):151–62. https://doi.org/10.1111/j.1541-0064.1963.tb00796.x.
Cheng, M., and C. Foley. 2018. “The Sharing Economy and Digital Discrimination: The Case of Airbnb.” International Journal of Hospitality Management 70:95–98. https://doi.org/10.1016/j.ijhm.2017.11.002.
Cheng, M., and X. Jin. 2018. “What Do Airbnb Users Care about? An Analysis of Online Review Comment.” International Journal of Hospitality Management, 76 (A):58–70. https://doi.org/10.1016/j.ijhm.2018.04.004.
Cima, R. n.d. The Most and Least Diverse Cities in America.” Priceonomics. https://priceonomics.com/the-most-and-least-diverse-cities-in-america/.
Clark, J. 2023. Bidding wars: inside the super-charged fight for rental properties.” The Guardian. https://www.theguardian.com/money/2023/apr/08/bidding-wars-inside-the-super-charged-fight-for-rental-properties.
Cocola-Gant, A., and A. Gago. 2019. “Airbnb, Buy-to-Let Investment and Tourism-Driven Displacement: A Case Study in Lisbon.” Environment and Planning A: Economy and Space 0 (0):1–18. https://doi.org/10.1177/0308518X19869012.
Cox, M., and T. Slee. 2016. “How Airbnb’s Data Hid the Facts in New York City.” Inside Airbnb. http://insideairbnb.com/reports/how-airbnbs-data-hid-the-facts-in-new-york-city.pdf.
Crawford, K., and M. Finn. 2015. “The Limits of Crisis Data: Analytical and Ethical Challenges of Using Social and Mobile Data to Understand Disasters.” GeoJournal 80 (4):491–502. https://doi.org/10.1007/s10708-014-9597-z.
D’Ignazio, Catherine, and Lauren F. Klein. 2020d. “Data Feminism.” In. MIT Press. https://data-feminism.mitpress.mit.edu/.
———. 2020c. “Data Feminism.” In. MIT Press. https://data-feminism.mitpress.mit.edu/.
———. 2020e. “Data Feminism.” In. MIT Press. https://data-feminism.mitpress.mit.edu/.
———. 2020b. “Data Feminism.” In. MIT Press. https://data-feminism.mitpress.mit.edu/.
———. 2020a. Data Feminism. MIT Press. https://data-feminism.mitpress.mit.edu/.
Dark Matter Labs. 2019. A Smart Commons: A New Model for INvesting in the Commons.” Medium. https://provocations.darkmatterlabs.org/a-smart-commons-528f4e53cec2.
Delmelle, Elizabeth C, and Isabelle Nilsson. 2021. “The Language of Neighborhoods: A Predictive-Analytical Framework Based on Property Advertisement Text and Mortgage Lending Data.” Computers, Environment and Urban Systems 88. Elsevier:101658. https://doi.org/10.1016/j.compenvurbsys.2021.101658.
Donoho, D. 2017. “50 Years of Data Science.” Journal of Computational and Graphical Statistics 26 (4):745–66. https://doi.org/10.1007/978-3-642-23430-9_71.
Elwood, S., and A. Leszczynski. 2018. “Feminist Digital Geographies.” Gender, Place and Culture 25 (5):629–44. https://doi.org/10.1080/0966369X.2018.1465396.
Elwood, S., and M. Wilson. 2017. Critical GIS Pedagogies Beyond ‘Week 10: Ethics‘.” International Journal of Geographical Information Science 31 (10):2098–2116. https://doi.org/10.1080/13658816.2017.1334892.
Ert, E., A. Fleischer, and N. Magen. 2016. “Trust and Reputation in the Sharing Economy: The Role of Personal Photos in Airbnb.” Tourism Management, 55:62–63. https://doi.org/10.1016/j.tourman.2016.01.013.
Etherington, Thomas R. 2016. Teaching introductory GIS programming to geographers using an open source Python approach.” Journal of Geography in Higher Education 40 (1). Taylor & Francis:117–30. https://doi.org/10.1080/03098265.2015.1086981.
Eugenio-Martin, J. L., J. M. Cazorla-Artiles, and C. Gonzàlez-Martel. 2019. “On the Determinants of Airbnb Location and Its Spatial Distribution.” Tourism Economics 25 (8):1224–24. https://doi.org/10.1177/1354816618825415.
Ferreri, Mara, and Romola Sanyal. 2018. “Platform Economies and Urban Planning: Airbnb and Regulated Deregulation in London.” Urban Studies 55 (15):3353–68. https://doi.org/10.1177/0042098017751982.
Fitzpatrick, B., and B. Collins-Sussman. n.d. “The Myth of the ’Genius Programmer’.” Google. https://www.youtube.com/watch?v=0SARbwvhupQ.
Franklin, Rachel. 2024. Quantitative methods III: Strength in numbers? Progress in Human Geography 48 (2). SAGE Publications Sage UK: London, England:236–44. https://doi.org/10.1177/03091325231210512.
Gibbs, C., D. Guttentag, U. Gretzel, J. Morton, and A. Goodwill. 2017. “Pricing in the Sharing Economy: A Hedonic Pricing Model Applied to Airbnb Listings.” Journal of Travel & Tourism Marketing 35 (1):46–56. https://doi.org/10.1080/10548408.2017.1308292.
Gurran, N., and P. Phibbs. 2017. “When Tourists Move in: How Should Urban Planners Respond to Airbnb?” Journal of the American Planning Association 83 (1):80–92. https://doi.org/10.1080/01944363.2016.1249011.
Gutiérrez, J., J. C. Garcı́a-Palomares, G. Romanillos, and M. H. Salas-Olmedo. 2017. “The Eruption of Airbnb in Tourist Cities: Comparing Spatial Patterns of Hotels and Peer-to-Peer Accommodation in Barcelona.” Tourism Management 62:278–91. https://doi.org/10.1016/j.tourman.2017.05.003.
Guttentag, Daniel A., and Stephen L. J. Smith. 2017. “Assessing Airbnb as a Disruptive Innovation Relative to Hotels: Substitution and Comparative Performance Expectations.” International Journal of Hospitality Management 64:1–10. https://doi.org/10.1016/j.ijhm.2017.02.003.
Harris, J. 2018. “Profiteers Make a Killing on Airbnb - and Erode Communities.” The Guardian. https://www.theguardian.com/commentisfree/2018/feb/12/profiteers-killing-airbnb-erode-communities.
Harris, R. n.d. “The Certain Uncertainty of University Rankings.” RPubs. https://rpubs.com/profrichharris/uni-rankings.
Horn, K., and M. Merante. 2017. “Is Home Sharing Driving up Rents? Evidence from Airbnb in Boston.” Journal of Housing Economics 38:14–24. https://doi.org/10.1016/j.jhe.2017.08.002.
Iqbal, N., and A. Chakrabortty. 2023. Why are London’s inner-city schools disappearing? Edited by A. Bransbury. The Guardian. 2023. https://www.theguardian.com/news/audio/2023/apr/26/why-are-london-schools-disappearing-podcast.
Jolly, J. 2023. Owners of 100,000 properties held by foreign shell companies unknown despite new UK laws.” The Guardian. https://www.theguardian.com/business/2023/sep/03/owners-of-100000-properties-held-by-foreign-shell-companies-unknown-despite-new-uk-laws.
Kitchin, R., T. P. Lauriault, and G. McArdie. 2016. “Smart Cities and the Politics of Urban Data.” In Smart Urbanism, edited by McFarlane Marvin Luque-Ayala.
Ladd, John R. 2020. “Understanding and Using Common Similarity Measures for Text Analysis.” The Programming Historian, no. 9. https://doi.org/10.46430/phen0089.
Lansley, Guy. 2016. “Cars and Socio-Economics: Understanding Neighbourhood Variations in Car Characteristics from Administrative Data.” Regional Studies, Regional Science 3 (1). Taylor & Francis:264–85. https://doi.org/10.1080/21681376.2016.1177466.
Lavin, Matthew J. 2019. “Analyzing Documents with TF-IDF.” The Programming Historian, no. 8. https://doi.org/10.46430/phen0082.
Lee, D. 2016. “How Airbnb Short-Term Rentals Exacerbate Los Angeles’s Affordable Housing Crisis: Analysis and Policy Recommendations.” Harvard Law & Policy Review 10 (1):229–54. https://doi.org/https://heinonline.org/HOL/Page?handle=hein.journals/harlpolrv10&div=13&g_sent=1.
Lu, Yonggang, and Kevin SS Henning. 2013. Are statisticians cold-blooded bosses? a new perspective on the ’old’ concept of statistical population.” Teaching Statistics 35 (1). Wiley Online Library:66–71. https://doi.org/10.1111/j.1467-9639.2012.00524.x.
Lutz, C., and G. Newlands. 2018. “Consumer Segmentation Within the Sharing Economy: The Case of Airbnb.” Journal of Business Research 88:187–96. https://doi.org/10.1016/j.jbusres.2018.03.019.
Ma, X., J. T. Hancock, K. L. Mingjie, and M. Naaman. 2017. “Self-Disclosure and Perceived Trustworthiness of Airbnb Host Profiles.” CSCW’17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computation, 2397–2409. https://doi.org/10.1145/2998181.2998269.
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Mattern, Shannon. 2015. Mission control: A history of the urban dashboard.” Places Journal. https://doi.org/10.22269/150309.
———. 2017. A City Is Not a Computer.” Places Journal. https://doi.org/10.22269/170207.
Miller, Harvey J, and Michael F Goodchild. 2015. “Data-Driven Geography.” GeoJournal 80. Springer:449–61. https://doi.org/10.1007/s10708-014-9602-6.
Minton, A. 2023. New York is breaking free of Airbnb’s clutches. This is how the rest of the world can follow suit.” The Guardian. https://www.theguardian.com/commentisfree/2023/sep/27/new-york-airbnb-renters-cities-law-ban-properties.
Muller, C. L., and C. Kidd. 2014. “Debugging Geographers: Teaching Programming to Non-Computer Scientists.” Journal of Geography in Higher Education 38 (2). Taylor & Francis:175–92. https://doi.org/10.1080/03098265.2014.908275.
Neate, R. 2023. ‘This is where people with staggering wealth end up’: who will buy Britain’s most expensive house? The Guardian. https://www.theguardian.com/money/2023/apr/08/britain-most-expensive-house-rutland-gate-mansion-london-super-rich-buyer.
O’Sullivan, David, and Steven M Manson. 2015. Do physicists have geography envy? And what can geographers learn from it? Annals of the Association of American Geographers 105 (4). Taylor & Francis:704–22. https://doi.org/10.1080/00045608.2015.1039105.
Prat, Chantel S, Tara M Madhyastha, Malayka J Mottarella, and Chu-Hsuan Kuo. 2020. “Relating Natural Language Aptitude to Individual Differences in Learning Programming Languages.” Scientific Reports 10 (1). Nature Publishing Group UK London:3817.
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Reades, Jonathan, and Jennie Williams. 2023. “Clustering and Visualising Documents Using Word Embeddings.” Programming Historian. https://doi.org/10.46430/phen0111.
Reades, J., H. Yingjie, Emmanouil Tranos, and E. Delmelle. in review. The City as Text: Understanding and Modeling Cities through the Lens of Text.” NA, in review.
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Shabrina, Z., Y. Zhang, E. Arcaute, and M. Batty. 2017. “Beyond Informality: The Rise of Peer-to-Peer (P2P) Renting.” CASA Working Paper 209. University College London. https://www.ucl.ac.uk/bartlett/casa/case-studies/2017/mar/casa-working-paper-209.
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———. 2024b. “The Most Undervalued Skill for Data Scientists.” Towards Data Science. https://towardsdatascience.com/the-most-undervalued-skill-for-data-scientists-e0e0d7709321.
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