timwgy / urban_data

urban_data

Thrift, N. 2014. "The promise of urban informatics: some speculations." Environment and Planning A 46 (6):1263-1266. https://doi-org.ezproxy.cul.columbia.edu/10.1068/a472c

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. https://doi-org.ezproxy.cul.columbia.edu/10.1017/CBO9781107590205

Batty, Michael. 2013. “Building a Science of Cities.” Chapter 1, pp.13-45 in The New Science of Cities. Cambridge, MA: MIT Press. https://clio.columbia.edu/catalog/12513238

Adlakha, D. (2017). Quantifying the modern city: emerging technologies and big data for active living research. Frontiers in public health, 5, 105. https://doaj.org/article/c02208837cd943cc9255a7d06de90cc5

French, S. P., Barchers, C., & Zhang, W. (2017). How should urban planners be trained to handle big data?. In Seeing cities through big data (pp. 209-217). Springer, Cham. https://clio.columbia.edu/catalog/12823076?counter=1

Unwin, A. (2020). Why is Data Visualization Important? What is Important in Data Visualization? (https://hdsr.mitpress.mit.edu/pub/zok97i7p/release/2)

Ferreira, N., Poco, J., Vo, H. T., Freire, J., & Silva, C. T. (2013). Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips. IEEE transactions on visualization and computer graphics, 19(12), 2149-2158.

Barbosa, L., Pham, K., Silva, C., Vieira, M. R., & Freire, J. (2014). Structured open urban data: understanding the landscape. Big data, 2(3), 144-154. (available at the Canvas course site)

Thakuriah, P. V., Tilahun, N. Y., & Zellner, M. (2017). Big data and urban informatics: innovations and challenges to urban planning and knowledge discovery. In Seeing cities through big data (pp. 11-45). Springer, Cham. (available at the Canvas course site)

Janssen, Marijn, Yannis Charalabidis, and Anneke Zuiderwijk. 2012. "Benefits, adoption barriers and myths of open data and open government." Information Systems Management 29 (4):258-268.(http://www.columbia.edu/cgi-bin/cul/resolve?AH-I822212VPAN3747)

Rob Kitchin, Tracey P. Lauriault & Gavin McArdle (2015) Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2:1, 6-28, DOI: 10.1080/21681376.2014.983149 (ttp://www.columbia.edu/cgi-bin/cul/resolve?AHJ7Q2212VPAD5528)

Gordon E. Baldwin-Philippi J . (2013) Making a habit out of engagement: how the culture of open data is reframing civic life. In Goldstein B. Dyson L . (eds.) Beyond Transparency . San Francisco, CA: Code for America Press. (http://beyondtransparency.org/chapters/part-3/making-a-habit-outof- engagement-how- the-culture-of-open-data-is-reframing-civic-life/)

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. (http://methods.sagepub.com.ezproxy.cul.columbia.edu/book/the-data-revolution)

Elwood, S., Goodchild, M. F., & Sui, D. Z. (2012). Researching volunteered geographic information: Spatial data, geographic research, and new social practice. Annals of the association of American geographers, 102(3), 571-590. Available at the Canvas course site.

Zook, Matthew, Mark Graham, Taylor Shelton, and Sean Gorman. 2010. “Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake.” World Medical & Health Policy 2 (2): 6–32. doi:10.2202/1948-4682.1069. http://www.columbia.edu/cgibin/cul/resolve?AH-J7Q2212VPAE2323

Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., ... & Cheng, T. (2016). Geospatial big data handling theory and methods: A review and research challenges. ISPRS journal of Photogrammetry and Remote Sensing, 115, 119-133.

Lewis, R. (2020). Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars. arXiv preprint arXiv:2002.11103. Available at the Canvas course site.

Zhou, Z., Yu, J., Guo, Z., & Liu, Y. (2018). Visual exploration of urban functions via spatio-temporal taxi OD data. Journal of Visual Languages & Computing, 48, 169-177. Available at the Canvas course site.

Watch Jeff Speck’s TED talk on walkability: https://www.ted.com/talks/jeff_speck_the_walkable_city

Ewing, Reid and Handy, Susan(2009). Measuring the Unmeasurable: Urban Design Qualities Related to Walkability. Journal of Urban Design, 14: 1, 65 — 84.

Golledge, R. G. (1995). Path Selection and Route Preference in Human Navigation: A Progress Report. In G. Goos, J. Hartmanis, & J. van Leeuwen (Eds.), (pp. 207–222).

Hess, P. M., Moudon, A. V., Snyder, M. C., & Stanilov, K. (1999). Site design and pedestrian travel. Transportation Research Record, 1674, 9–19.

P. N. Seneviratne & J. F. Morrall (1985) Analysis of factors affecting the choice of route of pedestrians, Transportation Planning and Technology, 10:2, 147-159.

Speck, J. (2013). Walkable City. How downtown can save America one step at a time. Nort Point Press. Part 2: Ten steps of walkability. pp. 65-159

Gehl, J. (1987). Life between buildings : using public space. New York, Van Nostrand Reinhold. pages.1-48.

Gehl, J. (1987). Life between buildings : using public space. New York, Van Nostrand Reinhold. Places for Walking, Places for Staying. pp. 129-196.

Sadik-Kahn, J., Solmonow, S. 2016. Street Fight. Handbook for an Urban Revolution.Viking Press. Chapter 4, How toRread the Street. Pp. 47-71.

Proudfoot, M. J. (1937). City Retail Structure. Economic Geography, 13(4), 425–428.

Chapter, 6 Location from DiPasquale, D., Wheaton, W.(1996). Urban Economics and Real Estate Markets. Prentice Hall.

Eppli, M., & Benjamin, J. (1994). The Evolution of Shopping Center Research. Journal of Real Estate Research, Vol. 9(1), pp. 5–32.

Sevtsuk, A. (2014). Location and Agglomeration: the Distribution of Retail and Food Businesses in Dense Urban Neighborhoods. Journal of Planning Education and Research, 1(21).

Eppli, M., & Shilling, J. (1996). How Critical is a Good Location to a Regional Shopping Center? Journal of Real Estate Research, Vol. 12(3), 459–469.

Sevtsuk, A., & Kalvo, R. (2017). Patronage of urban commercial clusters: a network-based extension of the Huff model for balancing location and size. Environment and Planning B: Planning and Design, forthcomin(Urban Analytics and City Science).

Porta, S., Strano, E., Iacoviello, V., Messora, R., Latora, V., Cardillo, A., Scellato, S. (2009). Street centrality and densities of retail and services in Bologna,Italy.

Sevtsuk, A. (2018). Brick and Mortar: The hidden structure of retail location patterns and vibrant streets. Penn Press. (Chapters 4 - clustering - and 6 - location ).

Rode and Floater (2017).LSE Accessibility in Cities: transport and urban form.

Littman, T. (2017). Evaluating Accessibility for for Transport Planning: Measuring People’s Ability to Reach Desired Goods and Activities. Victoria Transport Policy Insitutue.

Bettancourt, L. (2015) The Kind of Problem a City Is: New Perspectives on the Nature of Cities from Complex Systems Theory. In D. Offenhubar & C. Ratti (Eds.), De-coding the City: Urbanism in the Age of Big Data (p. 192). Birkhauser.

Bettencourt, L. M. A., Lobo, J., Helbing, D., Kuhnert, C., & West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. Proceedings of the National Academy of Sciences April 24, 104(17), 7301–7306.

Negraponte, N. (1996). Being Digital. Vintage Books. Introduction and Chapter 1.

Mitchell, W. J. (2003). Me++ : The Cyborg Self and the Networked City. Cambridge: MIT PRESS. pp. 131-168.

González, C. M., & Barabási, A.-L. (2008). Understanding individual human mobility patterns. Nature, 453, 779–782.

Sevtsuk, A., Ratti, C., 2010, Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks, Journal of Urban Technology, Volume: 17, Issue: 1, Pages: 41-60.

Reades, J., Calabrese, F., Sevtsuk, A., & Ratti, C. (2007). Cellular Census. Pervasive Computing, IEEE, 6(3), 30–38.

Eagle, N., & Pentland, S. (2007). Eigenbehaviors: Identifying Structure in Routine. Behavior. Ecology. Sociobiology., In Print.

Koolhaas, R. (2015). My thoughts on the smart city.

Ratnam, D. (2016, March 9). I have no idea what a smart city means: Rahul Mehrotra. Live Mint.

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Geopandas technical documentation (GitHub). https://github.com/geopandas/geopandas Geopandas tutorial example. https://www.datacamp.com/community/tutorials/geospatial-data-python Graser, Anita. Learning QGIS 2.0. Packt Publishing Ltd, 2013. https://clio.columbia.edu/catalog/14115919 Lawhead, Joel. Learning geospatial analysis with Python. Packt Publishing Ltd, 2015. https://clio.columbia.edu/catalog/14590439

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SpaceNet Datasets: https://spacenet.ai/datasets/

NYU Urban Modeling: https://wp.nyu.edu/urbanmodeling/our-work/our-data/

BUILT @ NYU: https://wp.nyu.edu/built/recent-active-research/data-library/