Session IX: CSS / Numbers: Scraped and Found

Research Papers, on Perusall: 

  • Boeing, G., & Waddell, P. (2017). New insights into rental housing markets across the United States: Web scraping and analyzing craigslist rental listings. Journal of Planning Education and Research, 37(4), 457-476.
  • Cavallo, A., & Rigobon, R. (2016). The billion prices project: Using online prices for measurement and research. Journal of Economic Perspectives, 30(2), 151-178.
  • Li, X., Zhang, C., Li, W., Ricard, R., Meng, Q., & Zhang, W. (2015). Assessing street-level urban greenery using Google Street View and a modified green view index. Urban Forestry & Urban Greening, 14(3), 675-685.
  • Resch, B., Summa, A., Zeile, P., & Strube, M. (2016). Citizen-centric urban planning through extracting emotion information from twitter in an interdisciplinary space-time-linguistics algorithm. Urban Planning, 1(2), 114-127.

Recommended Readings: 

  • Goerge, Robert. 2014. “Data for the Public Good: Challenges and Barriers in the Context of Cities.” Pp. 153-172 in Privacy, Big Data, and the Public Good. New York: Cambridge University Press
  • Johnson, Jeffrey Alan. 2014. “From Open Data to Information Justice.” Ethics and Information Technology 16 (4): 263–74. doi:10.1007/s10676-014-9351-8.
  • Chapter 2, “Small Data, Data Infrastructures and Data Brokers,” and Ch. 3, “Open and Linked Data” in Kitchin, Rob. 2014. Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. Los Angeles: Sage Publications.
  • Koonin, Steven E. and Michael Holland. 2014. “The Value of Big Data for Urban Science.” Pp. 137-152 in Privacy, Big Data, and the Public Good. New York: Cambridge University Press.
  • Nabian, N., Offenhuber, D., Vanky, A., & Ratti, C. (2013). Data dimension: accessing urban data and making it accessible. Proceedings of the Institution of Civil Engineers-Urban Design and Planning, 166(1), 60-75.
  • Shelton, Taylor, Ate Poorthuis, and Matthew Zook. “Social media and the city: Rethinking urban socio-spatial inequality using user-generated geographic information.” Landscape and Urban Planning 142 (2015): 198-211.

Technical References (Recommended): 

  • Salganik. Chapters 2.2-2.5.
  • Singleton and Straits. Chapter 12. 
  • Shumate, M., & Weber, M. S. (2015). The art of web crawling for social science research. Digital Research Confidential The Secret of Studying Behavior Online, 201-222. https://doi.org/10.7551/mitpress/9386.003.0011