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Original Articles

Crowdsourcing urban form and function

, , , , , , , & show all
Pages 720-741 | Received 31 Jan 2014, Accepted 13 Oct 2014, Published online: 08 Jan 2015

References

  • Adams, B. and McKenzie, G., 2013. Inferring thematic places from spatially referenced natural language descriptions. In: D. Sui, S. Elwood, and G.M. F., eds. Crowdsourcing geographic knowledge: volunteered geographic information in theory and practice. New York, NY: Springer, 201–221.
  • Aji, A., et al., 2013. Hadoop GIS: a high performance spatial data warehousing system over mapreduce. The Proceedings of the VLDB Endowment, 6 (11), 1009–1020. doi:10.14778/2536222.2536227
  • Arpinar, B.I., et al., 2006. Geospatial ontology development and semantic analytics. Transactions in GIS, 10 (4), 551–575. doi:10.1111/j.1467-9671.2006.01012.x
  • Batty, M., 1992. Urban modeling in computer-graphic and geographic information system environments. Environment and Planning B: Planning and Design, 19 (6), 663–688. doi:10.1068/b190663
  • Batty, M., 2005. Cities and complexity: understanding cities with cellular automata, agent-based models, and fractals. Cambridge, MA: The MIT Press.
  • Batty, M., 2007. Model cities. Town Planning Review, 78 (2), 125–151. doi:10.3828/tpr.78.2.3
  • Batty, M., 2008a. Fifty years of urban modelling: macro-statics to micro-dynamics. In: S. Albeverio, et al., eds. The dynamics of complex urban systems: an interdisciplinary approach. New York, NY: Springer Physica-Verlag, 1–20.
  • Batty, M., 2008b. The size, scale, and shape of cities. Science, 319 (5864), 769–771. doi:10.1126/science.1151419
  • Batty, M., 2013a. Big data, big issues. Geographical, 85 (1), 75.
  • Batty, M., 2013b. Big data, smart cities and city planning. Dialogues in Human Geography, 3 (3), 274–279. doi:10.1177/2043820613513390
  • Batty, M., 2013c. The new science of cities. Cambridge, MA: MIT Press.
  • Batty, M., et al., 2012. Smart cities of the future. The European Physical Journal Special Topics, 214 (1), 481–518. doi:10.1140/epjst/e2012-01703-3
  • Batty, M., et al., 2010. Map Mashups, Web 2.0 and the GIS revolution. Annals of GIS, 16 (1), 1–13. doi:10.1080/19475681003700831
  • Batty, M. and Longley, P.A., 1994. Fractal cities: a geometry of form and functions. London, UK: Academic Press.
  • Bell, G., Hey, T., and Szalay, A., 2009. Computer Science: beyond the data deluge. Science, 323 (5919), 1297–1298. doi:10.1126/science.1170411
  • Besussi, E., 2010. The structure and form of urban settlements. In: T. Rashed and C. Jürgens, et al., eds. Remote sensing of urban and suburban areas. New York, NY: Springer, 13–31.
  • Blei, D.M., Ng, A.Y., and Jordan, M.I., 2003. Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.
  • Boyko, A. and Funkhouser, T., 2011. Extracting roads from dense point clouds in large scale urban environment. ISPRS Journal of Photogrammetry and Remote Sensing, 66 (6), S2–S12. doi:10.1016/j.isprsjprs.2011.09.009
  • Caquard, S., 2013. Cartography I: mapping narrative cartography. Progress in Human Geography, 37 (1), 135–144. doi:10.1177/0309132511423796
  • Crang, M. and Graham, S., 2007. Sentient cities ambient intelligence and the politics of urban space. Information, Communication & Society, 10 (6), 789–817. doi:10.1080/13691180701750991
  • Croitoru, A., et al., 2013. Geosocial gauge: a system prototype for knowledge discovery from social media. International Journal of Geographical Information Science, 27 (12), 2483–2508. doi:10.1080/13658816.2013.825724
  • Crooks, A.T. and Wise, S., 2013. GIS and agent-based models for humanitarian assistance. Computers, Environment and Urban Systems, 41, 100–111. doi:10.1016/j.compenvurbsys.2013.05.003
  • De Montjoye, Y.A., et al., 2013, Unique in the crowd: the privacy bounds of human mobility. Scientific Reports, 3 (Article No. 1376).
  • Drymonas, E., Efentakis, A., and Pfoser, D., 2011. Opinion mapping travelblogs [online]. In: Proceedings of Terra Cognita workshop (in conjunction with the 10th international semantic web conference). Bonn, 23–36. Available from: http://ceur-ws.org/Vol-798/ [Accessed 12 September 2014].
  • Earnhart, D., 2001, Combining revealed and stated preference methods to value environmental amenities at residential locations. Land Economics, 77 (1), 12–29. doi:10.2307/3146977
  • Efentakis, A., et al., 2013, Towards a flexible and scalable fleet management service [online]. In: Proceedings of the 6th ACM SIGSPATIAL international workshop on computational transportation science, Orlando, FL. New York: ACM, 79–84. Available from: http://dl.acm.org/citation.cfm?id=2533835
  • Elwood, S. and Leszczynski, A., 2011. Privacy, reconsidered: new representations, data practices, and the Geoweb. Geoforum, 42 (1), 6–15. doi:10.1016/j.geoforum.2010.08.003
  • Flanagin, A.J. and Metzger, M.J., 2008. The credibility of volunteered geographic information. GeoJournal, 72 (3–4), 137–148. doi:10.1007/s10708-008-9188-y
  • Girardin, F., et al., 2009. Quantifying urban attractiveness from the distribution and density of digital footprints. International Journal of Spatial Data Infrastructures Research, 4 (1), 175–200.
  • Goodchild, M.F., 2007. Citizens as sensors: the world of volunteered geography. GeoJournal, 69 (4), 211–221. doi:10.1007/s10708-007-9111-y
  • Haklay, M., 2010. How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environment and Planning B: Planning and Design, 37 (4), 682–703. doi:10.1068/b35097
  • Handy, S.L., et al., 2002. How the built environment affects physical activity: views from urban planning. American Journal of Preventive Medicine, 23 (2), 64–73. doi:10.1016/S0749-3797(02)00475-0
  • Hao, Q., et al., 2010. Equip tourists with knowledge mined from travelogues [online]. In: Proceedings of the 19th international conference on world wide web (WWW’10), Raleigh, NC. New York: ACM, 401–410. Available from: http://dl.acm.org/citation.cfm?id=1772732
  • Hillier, B. and Iida, S., 2005. Network and psychological effects in urban movement. In: A.G. Cohn and D.M. Mark, eds. Spatial information theory. Germany: Springer, 475–490.
  • Howe, J., 2006, The rise of crowdsourcing, Wired, 14.06: 161–165, Available from http://www.wired.com/wired/archive/14.06/crowds.html [Accessed 25 September 2008].
  • Jackson, S., et al., 2013. Assessing completeness and spatial error of features in volunteered geographic information. ISPRS International Journal of Geo-Information, 2 (2), 507–530. doi:10.3390/ijgi2020507
  • Jiang, B., 2009. Street hierarchies: a minority of streets account for a majority of traffic flow. International Journal of Geographical Information Science, 23 (8), 1033–1048. doi:10.1080/13658810802004648
  • Jiang, B., et al., 2013, Topological structure of urban street networks from the perspective of degree correlations. arXiv preprint arXiv:1308.1533.
  • Jin, Y. and Batty, M., 2013. Applied urban modeling: new types of spatial data provide a catalyst for new models. Transactions in GIS, 17 (5), 641–644.
  • Karagiorgou, S. and Pfoser, D., 2012. On vehicle tracking data-based road network generation [online]. In: Proceedings of the ACM SIGSPATIAL international conference on advances in geographic information systems. Redondo Beach, CA. New York: ACM, 89–98. Available from: http://dl.acm.org/citation.cfm?id=2424334
  • Kietzmann, J.H., et al., 2011. Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54 (3), 241–251. doi:10.1016/j.bushor.2011.01.005
  • Kitchin, R., 2013. Big data and human geography: opportunities, challenges and risks. Dialogues in Human Geography, 3 (3), 262–267. doi:10.1177/2043820613513388
  • Lamprianidis, G. and Pfoser, D., 2012. Collaborative geospatial feature search [online]. In: Proceedings of the ACM SIGSPATIAL international conference on advances in geographic information systems, Redondo Beach, CA. New York: ACM, 169–178. Available from: http://dl.acm.org/citation.cfm?id=2424344
  • Lévi-Strauss, C., 1955. Tristes tropiques. Paris: Plon.
  • Levy, A., 1999. Urban morphology and the problem of the modern urban fabric: some questions for research. Urban Morphology, 3 (1), 79–85.
  • Lynch, K., 1960. The image of the city. Cambridge, MA: MIT Press.
  • Masucci, A.P., et al., 2009. Random planar graphs and the London Street Network. The European Physical Journal B, 71 (2), 259–271. doi:10.1140/epjb/e2009-00290-4
  • Mennis, J., Mason, M.J., and Cao, Y., 2013. Qualitative GIS and the visualization of narrative activity space data. International Journal of Geographical Information Science, 27 (2), 267–291. doi:10.1080/13658816.2012.678362
  • Moudon, A.V., 1997. Urban morphology as an emerging interdisciplinary field. Urban Morphology, 1 (1), 3–10.
  • Mullen, W.F., et al., 2014. Assessing the impact of demographic characteristics on spatial error in volunteered geographic information features. GeoJournal, doi:10.1007/s10708-014-9564-8
  • Neis, P., Zielstra, D., and Zipf, A., 2011. The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007–2011. Future Internet, 4 (4), 1–21. doi:10.3390/fi4010001
  • O’Sullivan, D., 2000. Graph-based cellular automaton models of urban spatial processes. PhD Thesis. London, UK: University College London.
  • OpenStreetMap. 2013. Bulk GPX track data. Available from: http://blog.osmfoundation.org/2013/04/12/bulk-gpx-track-data/ [Accessed 15 January 2014].
  • Ordnance Survey. 2014. OS MasterMap products. Available from: http://www.ordnancesurvey.co.uk/business-and-government/products/mastermap-products.html [Accessed 15 January 2014].
  • Over, M., et al., 2010. Generating web-based 3D city models from OpenStreetMap: the current situation in Germany. Computers, Environment and Urban Systems, 34 (6), 496–507. doi:10.1016/j.compenvurbsys.2010.05.001
  • Pfaff, P., et al., 2007. Towards mapping of cities [online]. In: IEEE international conference on robotics and automation, Roma. IEEE, 4807–4813. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4209838 [Accessed 12 September 2014].
  • Prakash, G. and Kruse, K.M., eds., 2008. The spaces of the modern city: imaginaries, politics, and everyday life. Princeton, NJ: Princeton University Press.
  • See, L., et al., 2013. Comparing the quality of crowd sourced data contributed by expert and non-experts. PLoS One, 8 (7), e69958.
  • Smith, D.A. and Crooks, A.T., 2010. From buildings to cities: techniques for the multi-scale analysis of urban form and function. London: Centre for Advanced Spatial Analysis, University College London: Working Paper 155.
  • Stanilov, K. and Batty, M., 2011. Exploring the historical determinants of urban growth patterns through cellular automata. Transactions in GIS, 15 (3), 253–271. doi:10.1111/j.1467-9671.2011.01254.x
  • Stefanidis, A., Crooks, A., and Radzikowski, J., 2013. Harvesting ambient geospatial information from social media feeds. GeoJournal, 78 (2), 319–338. doi:10.1007/s10708-011-9438-2
  • Talen, E., 2003. Measuring urbanism: issues in smart growth research. Journal of Urban Design, 8 (3), 195–215. doi:10.1080/1357480032000155141
  • Thrift, N., 2014. Commentary: the promise of urban informatics: some speculations. Environment and Planning A, 46 (6), 1263–1266. doi:10.1068/a472c
  • Wenk, C., Salas, R., and Pfoser, D., 2006. Addressing the need for map-matching speed: localizing global curve-matching algorithms [online]. In: Proceedings of the 18th international conference on scientific and statistical database management, Vienna. IEEE, 379–388. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1644335 [Accessed 12 September 2014].
  • Wilson, T., et al., 2005. OpinionFinder: a system for subjectivity analysis [online]. In: Proceedings of human language technology conference and conference on empirical methods in natural language processing, Vancouver. Stroudsburg, PA: Association for Computational Linguistics, 34–35. Available from: http://dl.acm.org/citation.cfm?doid=1225733.1225751
  • Yang, X., ed., 2011. Urban remote sensing: monitoring, synthesis and modeling in the urban environment. Hoboken, NJ: John Wiley & Sons.

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