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Using Big and Small Urban Data for Collaborative Urbanism

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Citizen Empowerment and Innovation in the Data-Rich City

Part of the book series: Springer Tracts in Civil Engineering ((SPRTRCIENG))

Abstract

The purpose of this chapter is to explore Big and Small Data available in cities, and to investigate how this data relates to different urban infrastructures and spatial scales. Whether dealing with Big Data or Small Data, it is argued that urban data, if used appropriately, can help bridge the gap between top-down, and bottom-up processes, whilst helping stakeholders to recognise that cities are complex systems that operate through various spatial scales of urban form.

The original version of this chapter was revised: The affiliation of the authors Thomas Grey and Dick Gleeson was corrected. The erratum to this chapter is available at DOI 10.1007/978-3-319-47904-0_13

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-47904-0_13

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References

  • Adler, L. (2015). The urban internet of thingssurveying innovations across city systems [Online]. Available: http://datasmart.ash.harvard.edu/news/article/the-urban-Internet-of-things-727. Accessed September 15, 2015.

  • Ahlbrandt, R. S., & Brophy, P. C. (1975). Neighborhood revitalization: Theory and practice. Lexington Books.

    Google Scholar 

  • Aia. (2004). Urban design assistance team program. American Institute of Architects.

    Google Scholar 

  • Alexander, C., Ishikawa, S., & Silverstein, M. (1977). A pattern language: Towns, buildings, construction. New York: Oxford University Press.

    Google Scholar 

  • Appleyard, D., Gerson, M. S. & Lintell, M. (1981). Livable streets. University of California Press.

    Google Scholar 

  • Arcgis. (2015). ARCGIS, [Online]. Available: https://www.arcgis.com/features/. Accessed September 15, 2015.

  • BRE. (2014). The case for BREEAM Communities. British Research Establishment Report. Available online at http://www.breeam.com/filelibrary/BREEAM%20Communities/The_Case_for_BREEAM_Communities_-_Fact_Sheet_-_January_2014.pdf

  • Bugs, G., Granell, C., Fonts, O., Huerta, J., & Painho, M. (2010). An assessment of public participation GIS and Web 2.0 technologies in urban planning practice in Canela, Brazil. Cities, 27, 172–181.

    Article  Google Scholar 

  • Calthorpe, P. (2010). Urbanism in the age of climate change. Washington, DC: Island Press.

    Google Scholar 

  • Campbell, K. (2011). Smart urbanism: Making massive small change. Journal of Urban Regeneration and Renewal, 4, 304–311.

    Google Scholar 

  • Campbell, K., & Cowan, R. (2015) Massive Small Compendium (sample of upcoming publication). Urban Exchange. Available online at http://www.massivesmall.com/wp-content/uploads/2015/09/Draft-Structure-of-Sourcebook.pdf

  • Caves, R. W., & Walshok, M. G. (1999). Adopting innovations in information technology: The California municipal experience. Cities, 16, 3–12.

    Article  Google Scholar 

  • Certomà, C., Corsini, F. & Rizzi, F. (2015). Crowdsourcing urban sustainability. Data, people and technologies in participatory governance. Futures.

    Google Scholar 

  • Chaskin, R. (2013). Neighborhood data and locally driven community change. In: Pettit, K. L. S., Kingsley, G. T., & Coulton, C. J. (Eds.), Strengthening communities with neighborhood data. Urban Institute Press.

    Google Scholar 

  • Citydashboard.org. (2015). London [Online]. Available: http://citydashboard.org/london/. Accessed September 21, 2015.

  • Creative Dublin Alliance. (2015). Dublin fifth province [Online]. Available: http://www.fifthprovince.ie/. Accessed September 9, 2015.

  • Dobbins, M. (2011). Urban design and people. Wiley.

    Google Scholar 

  • Dublinked. (2015). Dublinked [Online]. Available: http://www.dublinked.com/. Accessed September 21, 2015.

  • EC-EIP. (2013). European innovation partnership on smart cities and communities—strategic implementation Plan. In: E. I. P. E. O. S. C. A. C. (Ed.), European commission.

    Google Scholar 

  • English Partnerships & Housing Corporation. (2003). Urban design compendium. London: English Partnerships.

    Google Scholar 

  • Estellés-Arolas, E., & González-Ladrón-De-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38, 189–200.

    Article  Google Scholar 

  • Evans, L. (2014). Maps as deep: Reading the code of location-based social networks. Technology and Society Magazine, IEEE, 33, 73–80.

    Article  Google Scholar 

  • Evans, L. (2015). Locative social media: Place in the digital age. Palgrave Macmillan. Kindle Edition (page no.s in reference refer to Kindle location) 

    Google Scholar 

  • Foursquare. (2015). Foursquare [Online]. Available: https://foursquare.com. Accessed September 21, 2015.

  • Fraser, E. D. G., Dougill, A. J., Mabee, W. E., Reed, M., & Mcalpine, P. (2006). Bottom up and top down: Analysis of participatory processes for sustainability indicator identification as a pathway to community empowerment and sustainable environmental management. Journal of Environmental Management, 78, 114–127.

    Article  Google Scholar 

  • Gehl, J., & Koch, J. (2011). Life between buildings: Using public space. Washington, DC [etc.]: Island Press.

    Google Scholar 

  • Gehl, J., & Svarre, B. (2013). How to study public life. Island Press.

    Google Scholar 

  • Greater London Authority. (2015). London Datastore [Online]. Available: http://data.london.gov.uk/. Accessed September 15, 2015.

  • Haklay, M. (2015). Beyond quantification: A role for citizen science and community science in a smart city. Presented at Data and City Workshop. Maynooth University, Dublin, Ireland. Available online at http://discovery.ucl.ac.uk/1470344/

  • Haklay, M., & Weber, P. (2008). OpenStreetMap: User-generated street maps. Pervasive Computing, IEEE, 7, 12–18.

    Google Scholar 

  • Hamann, R., & April, K. (2013). On the role and capabilities of collaborative intermediary organisations in urban sustainability transitions. Journal of Cleaner Production, 50, 12–21.

    Article  Google Scholar 

  • Healey, P. (2006). Urban complexity and spatial strategies: Towards a relational planning for our times. Routledge.

    Google Scholar 

  • ISO. (2014). ISO/TR-37120-2014-sustainable development of communities—indicators for city services and quality of life. Switzerland: International Organization for Standardization (ISO).

    Google Scholar 

  • Jankowski, S., Covello, J., Bellini, H., Ritchie, J., & Costa, D. (2014). The internet of things: Making sense of the next mega-trend. Goldman Sachs.

    Google Scholar 

  • Kaye, L. (2011). Could cities’ problems be solved by urban acupuncture? The Guardian 21st July

    Google Scholar 

  • Kingsley, G. T., & Pettit, K. L. S. (2014). Data and community—foundation for an agenda. In: Cytron, N., Pettit, K. L. S., Kingsley, G. T., Erickson, D., Seidman, E. S., Urban, I., & Federal Reserve Bank of San, F. (Eds.), What counts: Harnessing data for America’s communities. San Francisco: Federal Reserve Bank of San Francisco.

    Google Scholar 

  • Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. 2014: SAGE Publications.

    Google Scholar 

  • Kitchin, R., & Lauriault, T. (2015). Small data in the era of big data. GeoJournal, 80, 463–475.

    Article  Google Scholar 

  • Kitchin, R., Lauriault, T. P., & Mcardle, G. (2015). Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2, 6–28.

    Article  Google Scholar 

  • Lerner, J. (2014). Urban acupuncture. Island Press.

    Google Scholar 

  • Lindau, S. T., James, R., Makelarski, J. A., Sanders, E., & Johnson, D. (2012). Comments from the south side of Chicago on New Haven’s inspiring initiative. American Journal of Public Health, 102, e3–e4.

    Article  Google Scholar 

  • Localdata. (2015). Better data makes better cities [Online]. Available: http://localdata.com/ [Accessed September 15, 2015].

  • Lynch, K. (1960). The image of the city. Cambridge, Mass.: Technology Press.

    Google Scholar 

  • Mahizhnan, A. (1999). Smart cities: The Singapore case. Cities, 16, 13–18.

    Article  Google Scholar 

  • Malkoc, E. & Ozkan, M. B. (2010). Post-occupancy Evaluation of a Built Environment: The Case of Konak Square (İzmir, Turkey). Indoor and Built Environment, 19, 422–434.

    Google Scholar 

  • Marshall, S. (2009). Cities design and evolution. Routledge.

    Google Scholar 

  • Martin, B., Hanington, B., & Hanington, B. M. (2012). Universal methods of design: 100 ways to research complex problems, develop innovative ideas, and design effective solutions. Rockport Publishers. Kindle Edition (page no. s in reference refer to Kindle location)

    Google Scholar 

  • Mboup, G., Warah, R. & United Nations Human Settlements, P. (2013). Streets as public spaces and drivers of urban prosperity. United Nations Human Settlements Programme (UN-Habitat).

    Google Scholar 

  • Meir, I. A., Garb, Y., Jiao, D. & Cicelsky, A. (2009). Post-occupancy evaluation: An inevitable step toward sustainability. Advances in Building Energy Research, 3, 189–219.

    Google Scholar 

  • Messer, L. C. (2007). Invited commentary: Beyond the metrics for measuring neighborhood effects. American Journal of Epidemiology, 165, 868–871.

    Article  Google Scholar 

  • Ministry for the Environment (NZ). (2009). Urban design toolkit—third edition. Available online at http://www.mfe.govt.nz/publications/towns-and-cities/urban-design-toolkit-third-edition

  • Minkler, M. (2014). Enhancing data quality, relevance, and use through community based participatory research. In: Cytron, N., Pettit, K. L. S., Kingsley, G. T., Erickson, D., Seidman, E. S., Urban, I. & Federal Reserve Bank of San, F. (Eds.), What counts: Harnessing data for America’s communities. San Francisco: Federal Reserve Bank of San Francisco.

    Google Scholar 

  • Moughtin, J. C., & Shirley, P. (2005). Urban design green dimensions [Online]. Burlington: Elsevier. Available: http://public.eblib.com/EBLPublic/PublicView.do?ptiID=269926

  • Murray, M., Greer, J., Houston, D., Mckay, S., & Murtagh, B. (2009). Bridging top down and bottom up: Modelling community preferences for a dispersed rural settlement pattern. European Planning Studies, 17, 441–462.

    Article  Google Scholar 

  • mySociety Ltd. (2015). FixmyStreet [Online]. Available: https://www.mysociety.org/projects/fixmystreet/. Accessed September 15, 2015.

  • Newman, P., & Jennings, I. (2008). Cities as sustainable ecosystems: Principles and practices. Island Press.

    Google Scholar 

  • NUI Maynooth. (2015). DublinDashboard [Online]. Available: http://www.dublindashboard.ie/pages/DublinDataStore

  • OECD. (2001a). Citizens as partners: Information, consultation and public participation in policy. OECD Publishing.

    Google Scholar 

  • OECD. (2001b). Citizens as partners: OECD handbook on information, consultation and public participation in policy-making. OECD Publishing.

    Google Scholar 

  • OECD. (2011). Designing for education. OECD Publishing.

    Google Scholar 

  • OpenStreetMap Foundation. (2015). OpenStreetMap [Online]. Available: https://www.openstreetmap.org/about

  • Ordnance Survey. (2015). OS OPENDATA [Online]. Available: https://www.ordnancesurvey.co.uk/business-and-government/products/opendata-products.html. Accessed September 15, 2015.

  • Pettit, K. L. S., Kingsley, G. T. & Coulton, C. J. (2013). Strengthening communities with neighborhood data. Urban Institute Press.

    Google Scholar 

  • Pissourios, I. A. (2014). Top-down and bottom-up urban and regional planning: Towards a framework for the use of planning standards. European Spatial Research and Policy, 21, 83–99.

    Article  Google Scholar 

  • PlaceILive.com. (2015). Can big data measure livability in cities? Available from: https://blog.placeilive.com/can-big-data-measure-livability-in-cities/. Accessed September 15, 2015.

  • Placemeter Inc. (2015). Placemeter [Online]. Available: https://www.placemeter.com/platform. Accessed September 15, 2015.

  • Poon, L. (2015). MIT puts pedestrians at the center of urban design [Online]. Available: http://www.citylab.com/tech/2015/08/mit-puts-pedestrians-at-the-center-of-urban-design/401285/?utm_source=nl__link2_081815. Accessed September 15, 2015.

  • Rust, E. (2015). Should we be concerned about Placemeter—an app which monitors street views from apartment windows. The Guardian (pp. 15–09).

    Google Scholar 

  • Safecity.in. (2015). Safecity [Online]. Available: http://safecity.in/. Accessed September 15, 2015.

  • Santilli, A., Carroll-Scott, A., Wong, F., & Ickovics, J. (2011). Urban youths go 3000 miles: Engaging and supporting young residents to conduct neighborhood asset mapping. American Journal of Public Health, 101, 2207–2210.

    Article  Google Scholar 

  • Saunders, T., & Baeck, P. (2015). Rethinking smart cities from the ground up. Nesta

    Google Scholar 

  • Scharnhorst, E. (2015). What your instagram feed has in common with a Ballot Box. In: Next City.org (Ed.), The public life reader. Next City.org.

    Google Scholar 

  • Siddall, E., Grey, T., & Dyer, M. (2013). Indicators and stakeholder engagement: A Dublin case study. Proceedings of the ICE—Engineering Sustainability [Online], 166. Available: http://www.icevirtuallibrary.com/content/article/10.1680/ensu.12.00004

  • Shaw, E. (2014). Making the most of open data. In: Cytron, N., Pettit, K. L. S., Kingsley, G. T., Erickson, D., Seidman, E. S., Urban, I. & Federal Reserve Bank of San, F. (eds.) What counts : harnessing data for America's communities. San Francisco: Federal Reserve Bank of San Francisco.

    Google Scholar 

  • Talen, E., Allen, E., Bosse, A., Ahmann, J., Koschinsky, J., Wentz, E., et al. (2013). Leed-ND as an urban metric. Landscape and Urban Planning, 119, 20–34.

    Article  Google Scholar 

  • Thompson, M. M. (2015). Public participation GIS and neighbourhood recovery: Using community mapping for economic development. International Journal of Data Mining, Modelling and Management, 7, 24–38.

    Article  Google Scholar 

  • UNEP. (2011). United Nations Environment Programme Year Book 2011: Emerging issues in our global environment. Nairobi, Kenya: United Nations Environment Programme.

    Google Scholar 

  • Vale, B., & Vale, R. (1991). Green architecture: Design for a sustainable future. London: Thames and Hudson.

    Google Scholar 

  • Violet Bramley, E. (2015). Can the Safecity app make Delhi safer for women? The Guardian Thursday 13th August 2015.

    Google Scholar 

  • Whyte, W. H. (1980). The social life of small urban spaces. Washington, D.C: Conservation Foundation.

    Google Scholar 

  • William McDonough & Partners (1992). The Hannover Principles: Design for sustainability. W. McDonough Architects.

    Google Scholar 

  • Wong, F., Stevens, D., O’connor-Duffany, K., Siegel, K., & GAO, Y. (2011). Community health environment scan survey (CHESS): A novel tool that captures the impact of the built environment on lifestyle factors. Global Health Action, 4. 10.3402/gha.v4i0.5276

  • Zeisel, J. (2006). Inquiry by design: Tools for environment-behaviour research. Cambridge University Press.

    Google Scholar 

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Author information

Authors and Affiliations

  1. TrinityHaus Research Centre, Trinity College Dublin, Dublin, Ireland

    Thomas Grey

  2. Faculty of Science and Engineering, University of Waikato, Hamilton, New Zealand

    Mark Dyer

  3. City Sounding Board Ltd, Dublin, Ireland

    Dick Gleeson

Authors
  1. Thomas Grey
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  2. Mark Dyer
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  3. Dick Gleeson
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Corresponding author

Correspondence to Thomas Grey .

Editor information

Editors and Affiliations

  1. Institute of Law, Politics and Development & Institute of management, Scuola Superiore Sant’Anna, Pisa, Italy

    Chiara Certomà

  2. Faculty of Science and Engineering, University of Waikato, Hamilton, New Zealand

    Mark Dyer

  3. Economic Informatics and Cybernetics Department, Bucharest University of Economic Studies, Bucharest, Romania

    Lorena Pocatilu

  4. Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy

    Francesco Rizzi

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Grey, T., Dyer, M., Gleeson, D. (2017). Using Big and Small Urban Data for Collaborative Urbanism. In: Certomà, C., Dyer, M., Pocatilu, L., Rizzi, F. (eds) Citizen Empowerment and Innovation in the Data-Rich City. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-319-47904-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-47904-0_3

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