1,228
Views
9
CrossRef citations to date
0
Altmetric
Smart Cities, Housing, and Community Development Policy

Just Smart or Just and Smart Cities? Assessing the Literature on Housing and Information and Communication Technology

&
Pages 127-150 | Received 31 May 2019, Accepted 17 Jan 2020, Published online: 27 Mar 2020

References

  • Alizadeh, T. (2017). An investigation of IBM’s smarter cities challenge: What do participating cities want? Cities, 63, 70–80.
  • Alizadeh, T., Farid, R., & Sarkar, S. (2018). Towards understanding the socio-economic patterns of sharing economy in Australia: An investigation of Airbnb listings in Sydney and Melbourne metropolitan regions. Urban Policy and Research, 36(4), 445–463.
  • Angelidou, M. (2014). Smart city policies: A spatial approach. Cities, 41, S3–S11.
  • Ayouba, K., Breuillé, M.-L., Grivault, C., & Le Gallo, J. (2019). Does Airbnb disrupt the private rental market? An empirical analysis for French cities. International Regional Science Review, doi: 016001761882142.
  • Badger, E. (2019). Why technology hasn’t fixed the housing crisis. The New York Times. Retrieved from https://www.nytimes.com/2019/01/29/upshot/can-technology-help-fix-the-housing-market.html
  • Barron, K., Kung, E., & Proserpio, D. (2018). The sharing economy and housing affordability: Evidence from Airbnb , Working Paper, unpublished.
  • Batty, M. (2013). Big data, smart cities and city planning. Dialogues in Human Geography, 3(3), 274–279.
  • Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., … Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214(1), 481–518.
  • Bavan, M., & Shamsuddin, S. (2007). The transition to asset management in public housing. Cityscape, 9(2), 185–192.
  • Bettencourt, L. (2014). The uses of big data in cities. Big Data, 2(1), 12–22.
  • Boeing, G. (2019). Online rental housing market representation and the digital reproduction of urban inequality. Environment and Planning A: Economy and Space, doi: 0308518–1986967.
  • 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.
  • Bratt, R. G. (2002). Housing and family well-being. Housing Studies, 17(1), 13–26.
  • Brenner, N., & Theodore, N. (2002). Preface: From the “new localism” to the spaces of neoliberalism. Antipode, 34(3), 341–347.
  • Cansoy, M., & Schor, J. (2016). Who gets to share in the “Sharing Economy”: Understanding the patterns of participation and exchange in Airbnb. Working Paper, unpublished.
  • Cao, K., Diao, M., & Wu, B. (2019). A big data-based geographically weighted regression model for public housing prices: A case study in Singapore. Annals of the American Association of Geographers, 109(1), 173–186.
  • Centre for Cities. (2014). Smart cities: May 2014. London, England: Author. Retrieved from https://www.centreforcities.org/wp-content/uploads/2014/08/14-05-29-Smart-Cities-briefing.pdf
  • Chaskin, R. J., & Joseph, M. L. (2015). Integrating the inner city: The promise and perils of mixed-income public housing transformation. Chicago: University of Chicago Press.
  • Crommelin, L., Troy, L., Martin, C., & Pettit, C. (2018). Is Airbnb a sharing economy superstar? Evidence from five global cities. Urban Policy and Research, 36(4), 429–444.
  • Dalton, C. M. (2019). Rhizomatic data assemblages: Mapping new possibilities for urban housing data. Urban Geography, 1–19.
  • Dietzel, M. A. (2016). Sentiment-based predictions of housing market turning points with Google trends. International Journal of Housing Markets and Analysis, 9(1), 108–136.
  • Dijk, D. W., & Francke, M. K. (2018). Internet search behavior, liquidity and prices in the housing market. Real Estate Economics, 46(2), 368–403.
  • Dirks, S., Gurdgiev, C., & Keeling, M. (2010). Smarter cities for smarter growth: How cities can optimize their systems for the talent-based economy (Executive Report). Somers, NY: IBM Global Business Services.
  • Edelman, B., Luca, M., & Svirsky, D. (2017). Racial discrimination in the sharing economy: Evidence from a field experiment. American Economic Journal: Applied Economics, 9(2), 1–22.
  • Ellen, I. G. (2015). Housing low-income households: Lessons from the sharing economy? Housing Policy Debate, 25(4), 783–784.
  • Fainstein, S. (2001). Competitiveness, cohesion, and governance: Their implications for social justice. International Journal of Urban and Regional Research, 25(4), 884–888.
  • Fainstein, S. (2005). Planning theory and the city. Journal of Planning Education and Research, 25(2), 121–130.
  • Fainstein, S. (2010). The just city. Ithaca, NY: Cornell University Press.
  • Falconer, G., & Mitchell, S. (2012). Smart city framework: A systematic process for enabling smart + connected communities. Cisco Internet Business Solutions Group. Retrieved from http://www.cisco.com/web/about/ac79/docs/ps/motm/Smart-City-Framework.pdf
  • Freeman, L. (2005). Displacement or succession? Residential mobility in gentrifying neighborhoods. Urban Affairs Review, 40(4), 463–491.
  • Gabriel, S., & Painter, G. (2020). Why affordability matters. Regional Science and Urban Economics, 80, 1–6.
  • Glaeser, E. L., Kominers, S. D., Luca, M., & Naik, N. (2018). Big data and big cities: The promises and limitations of improved measures of urban life. Economic Inquiry, 56(1), 114–137.
  • Graham, S. (2002). Bridging urban digital divides? Urban polarisation and information and communications technologies (ICTs). Urban Studies, 39(1), 33–56.
  • Grisdale, S. (2019). Displacement by disruption: Short-term rentals and the political economy of “belonging anywhere” in Toronto. Urban Geography, 1–27.
  • Groth, P. (1994). Living downtown: The history of residential hotels in the United States. Berkeley, CA: University of California Press.
  • Gurran, N., & Phibbs, P. (2017). When tourists move in: How should urban planners respond to Airbnb? Journal of the American Planning Association, 83(1), 80–92.
  • Harten, J. G., & Kim, A. M. (2018). The price of crowding: Modeling the rental market for overcrowded housing in Shanghai. Working Paper, unpublished.
  • Hill, H. D., Romich, J., Mattingly, M. J., Shamsuddin, S., & Wething, H. (2017). An introduction to household economic instability and social policy. Social Service Review, 91(3), 371–389.
  • Hollands, R. G. (2008). Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City, 12(3), 303–320.
  • Horn, K., & Merante, M. (2017). Is home sharing driving up rents? Evidence from Airbnb in Boston. Journal of Housing Economics, 38, 14–24.
  • Hu, L., He, S., Han, Z., Xiao, H., Su, S., Weng, M., & Cai, Z. (2019). Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies. Land Use Policy, 82, 657–673.
  • IBM. (2009). IBM offers smarter city assessment tool to help cities prepare for challenges and opportunities of unprecedented urbanization. Retrieved from https://www-03.ibm.com/press/us/en/pressrelease/27791.wss
  • Jana, A., Bardhan, R., Sarkar, S., & Kumar, V. (2016). Framework to assess and locate affordable and accessible housing for developing nations: Empirical evidences from Mumbai. Habitat International, 57, 88–99.
  • Jiao, J., & Bai, S. (2020). Cities reshaped by Airbnb: A case study in New York City, Chicago, and Los Angeles. Environment and Planning A: Economy and Space, 52(1), 10–13.
  • Kakar, V., Voelz, J., Wu, J., & Franco, J. (2018). The visible host: Does race guide Airbnb rental rates in San Francisco. Journal of Housing Economics, 40, 25–40.
  • Kehoe, M., Cosgrove, M., De Gennaro, S., Harrison, C., Harthoorn, W., Hogan, J., … Peters, C. (2011). Smarter cities series: A foundation for understanding IBM smarter cities. Redguides for Business Leaders, IBM, REDP–4733.
  • Kim, A. M. (2016). The extreme primacy of location: Beijing’s underground rental housing market. Cities, 52, 148–158.
  • Kitchin, R. (2014). Making sense of smart cities: Addressing present shortcomings. Cambridge Journal of Regions, Economy and Society, 8(1), 131–136.
  • Li, H., Wei, Y. D., Wu, Y., & Tian, G. (2019). Analyzing housing prices in Shanghai with open data: Amenity, accessibility and urban structure. Cities, 91, 165–179.
  • Li, T. (2017). The value of access to rail transit in a congested city: Evidence from housing prices in Beijing. Real Estate Economics,  1–43.
  • Lin, J., & Cheng, Y. (2016). Access to jobs and apartment rents. Journal of Transport Geography, 55, 121–128.
  • Lin, Y., Zhang, X., & Geertman, S. (2015). Toward smart governance and social sustainability for Chinese migrant communities. Journal of Cleaner Production, 107, 389–399.
  • Mahabir, R., Crooks, A., Croitoru, A., & Agouris, P. (2016). The study of slums as social and physical constructs: Challenges and emerging research opportunities. Regional Studies, Regional Science, 3(1), 399–419.
  • McNeill, D. (2015). Global firms and smart technologies: IBM and the reduction of cities. Transactions of the Institute of British Geographers, 40(4), 562–574.
  • Monkkonen, P., Deng, G., & Hu, W. (2019). Does developers’ ownership structure shape their market behavior? Evidence from state owned enterprises in Chengdu, Sichuan, 2004–2011. Cities, 84, 151–158.
  • Nasreen, Z., & Ruming, K. (2019). Room sharing in Sydney: A complex mix of affordability, overcrowding and profit maximisation. Urban Policy and Research, 37(2), 151–169.
  • New York City Housing Authority. (2017). The fund for public housing launches innovative tech competition to partner with City’s startups and benefit public housing. New York: Author.
  • Newman, S. J., & Holupka, C. S. (2014). Housing affordability and investments in children. Journal of Housing Economics, 24, 89–100.
  • O’Regan, K. M. (2019). The fair housing act today: Current context and challenges at 50. Housing Policy Debate, 29(5), 704–713.
  • Quattrone, G., Proserpio, D., Quercia, D., Capra, L., & Musolesi, M. (2016, April). Who benefits from the sharing economy of Airbnb? In Proceedings of the 25th international conference on world wide web, Montreal Canada (pp. 1385–1394). International World Wide Web Conferences Steering Committee. https://dl.acm.org/doi/proceedings/10.5555/2872427
  • Rae, A., & Sener, E. (2016). How website users segment a city: The geography of housing search in London. Cities, 52, 140–147.
  • Retsinas, N. P., & Belsky, E. S. (eds). (2002). Low-income homeownership: Examining the unexamined goal. Washington, DC: The Brookings Institution Press.
  • Rohe, W. M. (2017). Tackling the housing affordability crisis. Housing Policy Debate, 27(3), 490–494.
  • Sandercock, L. (1998). Towards cosmopolis: Planning for multicultural cities. New York: John Wiley.
  • Shamsuddin, S. (2017). Preserved for posterity: Public housing redevelopment and replacement in HOPE VI. Association of Collegiate Schools of Planning conference paper, Denver, CO.
  • Shamsuddin, S., & Cross, H. (2019). Balancing act: The effects of race and poverty on LIHTC development in Boston. Housing Studies, 1–16.
  • Shamsuddin, S., & Vale, L. J. (2017). Lease it or lose it? The implications of New York’s land lease initiative for public housing preservation. Urban Studies, 54(1), 137–157.
  • Shelton, T., Zook, M., & Wiig, A. (2015). The ‘actually existing smart city’. Cambridge Journal of Regions, Economy and Society, 8(1), 13–25.
  • Smith, N. (1979). Toward a theory of gentrification: A back to the city movement by capital, not people. Journal of the American Planning Association, 45(4), 538–548.
  • Thomson, C. N., & Hardin, P. (2000). Remote sensing/GIS integration to identify potential low-income housing sites. Cities, 17(2), 97–109.
  • Venkataraman, M., Panchapagesan, V., & Jalan, E. (2018). Does Internet search intensity predict house prices in emerging markets? A case of India. Property Management, 36(1), 103–118.
  • Viitanen, J., & Kingston, R. (2014). Smart cities and green growth: Outsourcing democratic and environmental resilience to the global technology sector. Environment and Planning A, 46(4), 803–819.
  • Wachsmuth, D., & Weisler, A. (2018). Airbnb and the rent gap: Gentrification through the sharing economy. Environment and Planning A, 50(6), 1147–1170.
  • Woetzel, J., Remes, J., Boland, B., Lv, K., Sinha, S., Strube, G., … von der Tann, V. (2018). Smart cities: Digital solutions for a more livable future. New York: McKinsey and Company.
  • Wu, C., Ye, X., Ren, F., Wan, Y., Ning, P., & Du, Q. (2016). Spatial and social media data analytics of housing prices in Shenzhen, China. PloS One, 11(10), e0164553.
  • Wu, J., & Deng, Y. (2015). Intercity information diffusion and price discovery in housing markets: Evidence from Google searches. Journal of Real Estate Finance and Economics, 50(3), 289–306.
  • Wu, L., & Brynjolfsson, E. (2015). The future of prediction: How Google searches foreshadow housing prices and sales. In A. Goldfarb, S. M. Greenstein, & C. E. Tucker (Eds.), Economic analysis of the digital economy (pp. 89–118). Chicago: University of Chicago Press.
  • Yang, T., Jin, Y., Yan, L., & Pei, P. (2019). Aspirations and realities of polycentric development: Insights from multi-source data into the emerging urban form of Shanghai. Environment and Planning B: Urban Analytics and City Science, 46(7), 1264–1280.
  • Yrigoy, I. (2019). Rent gap reloaded: Airbnb and the shift from residential to touristic rental housing in the Palma Old Quarter in Mallorca, Spain. Urban Studies, 56(13), 2709–2726.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.