The Living Thing / Notebooks :

Smartypants cities

citizen design

Notes towards the ubiquitous monitoring and automating of our built environment. The Internet of Big Things.

Ideas to discuss

To read


Abdulharis, R., Sarah, K., & HENDRIATININGSIH, S. (2007) The initial model of integration of the customary land tenure system into Indonesian land tenure system: the case of Kasepuhan Ciptagelar, West Java, Indonesia.
Achlioptas, D., Clauset, A., Kempe, D., & Moore, C. (2005) On the Bias of Traceroute Sampling: Or, Power-law Degree Distributions in Regular Graphs. In Proceedings of the Thirty-seventh Annual ACM Symposium on Theory of Computing (pp. 694–703). New York, NY, USA: ACM DOI.
Backhaus, S., & Chertkov, M. (2013) Getting a grip on the electrical grid. Physics Today, 66(5), 42. DOI.
Barbrook, R., & Cameron, A. (1995) The Californian Ideology. In Science as Culture.
Batty, M. (2013) Big data, smart cities and city planning. Dialogues in Human Geography, 3(3), 274–279. DOI.
Batty, M. (2015) A perspective on city dashboards. Regional Studies, Regional Science, 2(1), 29–32. DOI.
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. DOI.
Batty, M., & Hudson-Smith, A. (2014) Visual Analytics for Urban Design. Urban Design Group Journal.
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Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D. U.(2006) Complex networks: Structure and dynamics. Physics Reports, 424(4–5), 175–308.
Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009) Network Analysis in the Social Sciences. Science, 323(5916), 892–895. DOI.
Brauckhoff, D., Salamatian, K., & May, M. (2009) Applying PCA for Traffic Anomaly Detection: Problems and Solutions. In IEEE INFOCOM 2009 (pp. 2866–2870). DOI.
Buck, N. T., & While, A. (2015) Competitive urbanism and the limits to smart city innovation: The UK Future Cities initiative. Urban Studies, 42098015597162. DOI.
Cheng, T., & Wicks, T. (2014) Event Detection using Twitter: A Spatio-Temporal Approach. PLoS ONE, 9(6), e97807. DOI.
Cleland, D., Dray, A., Perez, P., & Geronimo, R. (2010) SimReef and ReefGame: gaming for integrated reef research and management.
Coward, A. L., & Salingaros, N. A.(2004) The Information Architecture of Cities. Journal of Information Science, 30, 107.
Daneshmand, H., Gomez-Rodriguez, M., Song, L., & Schölkopf, B. (2014) Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm. In ICML.
Feng, Y., Liu, Y., & Batty, M. (2015) Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China. Stochastic Environmental Research and Risk Assessment, 1–14. DOI.
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Gao, L., Song, C., Gao, Z., Barabasi, A.-L., Bagrow, J. P., & Wang, D. (2014) Quantifying Information Flow During Emergencies. Scientific Reports, 4. DOI.
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Helbing, D., & Balietti, S. (2010) From Social Data Mining to Forecasting Socio-Economic Crisis.
Helbing, D., Brockmann, D., Chadefaux, T., Donnay, K., Blanke, U., Woolley-Meza, O., … Perc, M. (2014) Saving Human Lives: What Complexity Science and Information Systems can Contribute. Journal of Statistical Physics, 1–47. DOI.
Hill, D. (2012) Ravintolapäivä, Restaurant Day, edible urbanism and civic opportunism. cityofsound.
Hill, D. (2014a) The commodification of everything. In S. Caviar (Ed.), SQM: The Quantified Home. Ennetbaden: Lars Muller Publishers
Hill, D. (2014b, November) Urban parasites, data-driven urbanism and the case for architecture. Architecture + Urbanism (A+U), 530.
Hudson, P., Botzen, W. W., Czajkowski, J., & Kreibich, H. (2014) Risk Selection and Moral Hazard in Natural Disaster Insurance Markets: Empirical evidence from Germany and the United States.
Jennett, C., & Cox, A. L.(2014) Eight Guidelines for Designing Virtual Citizen Science Projects. In Second AAAI Conference on Human Computation and Crowdsourcing.
Kamalasudhan, A., Mitra, S., Huang, B., & Chin, H. C.(2002) An analysis of expressway accidents in Singapore using GIS. In GIS conference in Bangkok.
Kanhere, S. S.(2013) Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces. In C. Hota & P. K. Srimani (Eds.), Distributed Computing and Internet Technology (pp. 19–26). Springer Berlin Heidelberg
Kay, A. (n.d.) Enlightened Imagination For Citizens.
Khatoun, R., & Zeadally, S. (2016) Smart cities: concepts, architectures, research opportunities. Communications of the ACM, 59(8), 46–57. DOI.
Kiros, R., Zhu, Y., Salakhutdinov, R., Zemel, R. S., Torralba, A., Urtasun, R., & Fidler, S. (2015) Skip-Thought Vectors. arXiv:1506.06726 [Cs].
Kitchin, R. (2013, November 27) Four critiques of open data initiatives. Impact of Social Sciences.
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(1), 6–28. DOI.
Koenig, R., & Schneider, S. (2012) Hierarchical structuring of layout problems in an interactive evolutionary layout system. AI EDAM, 26(Special Issue 02), 129–142. DOI.
Koltsova, A., Tuncer, B., Georgakopoulou, S., & Schmitt, G. (2012) Parametric tools for conceptual design support at the pedestrian urban scale. Proceedings of the 30th eCAADe 2012, 279–287.
Lansing, J. S.(2000) Foucault and the Water Temples: A Reply to Helmreich. Critique of Anthropology, 20, 309–318. DOI.
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Lansing, J. S., Kremer, J. N., & Smuts, B. B.(1998) System-dependent selection, ecological feedback and the emergence of functional structure in ecosystems. Journal of Theoretical Biology, 192, 377–391.
Lenzen, M., Lundie, S., Bransgrove, G., Charet, L., & Sack, F. (2003) Assessing the Ecological Footprint of a Large Metropolitan Water Supplier: Lessons for Water Management and Planning towards Sustainability. Journal of Environmental Planning and Management, 46, 113–141. DOI.
Louf, R., & Barthelemy, M. (2014) A typology of street patterns. Journal of The Royal Society Interface, 11(101), 20140924. DOI.
Masucci, A. P., Stanilov, K., & Batty, M. (2013) Limited Urban Growth: London’s Street Network Dynamics since the 18th Century. PLoS ONE, 8(8), e69469. DOI.
Melbourne-Thomas, J., Johnson, C. R., Perez, P., Eustache, J., Fulton, E. A., & Cleland, D. (2011) Coupling Biophysical and Socioeconomic Models for Coral Reef Systems in Quintana Roo, Mexican Caribbean. Ecology and Society, 16(3). DOI.
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Müller, P., Wonka, P., Haegler, S., Ulmer, A., & Van Gool, L. (2006) Procedural modeling of buildings. ACM Trans. Graph., 25(3), 614–623. DOI.
Naroditskiy, V., Jennings, N. R., Van Hentenryck, P., & Cebrian, M. (2014) Crowdsourcing contest dilemma. Journal of The Royal Society Interface, 11(99), 20140532–20140532. DOI.
Newell, B. (2005) Snowmobile Revolution in the Arctic.
Newell, B., & Wasson, R. (2002) Social System vs Solar System: Why Policy Makers Need History. . Presented at the Conflict and Cooperation Related to International Water Resources: Historical Perspectives, Grenoble
Oishi, K., Cebrian, M., Abeliuk, A., & Masuda, N. (2014) Iterated crowdsourcing dilemma game. Scientific Reports, 4. DOI.
Parish, Y. I. H., & Müller, P. (2001) Procedural modeling of cities. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques (pp. 301–308). New York, NY, USA: ACM DOI.
Prestopnik, N., & Crowston, K. (2012) Exploring collective intelligence games with design science: A citizen science design case. In ACM Group Conference (pp. 83–92).
Proust, K. M., Dovers, S. R., Foran, B., Newell, B., Steffen, W., & Troy, P. (2007) Climate, energy and water Accounting for the links. . Canberra: Land & Water Australia
Rabbat, M. G., Figueiredo, Má. A. T., & Nowak, R. D.(2008) Network Inference from Co-Occurrences. IEEE Transactions on Information Theory, 54(9), 4053–4068. DOI.
Rahmawati, R., & Gentini, D. E. I.(2008) Pengetahuan Lokal Masyarakat Adat Kasepuhan: Adaptasi, Konflik dan Dinamika Sosio-Ekologis. Jurnal Sosiologi Pedesaan, 2(2).
Rajasegarar, S., Leckie, C., Palaniswami, M., & Bezdek, J. C.(2006) Distributed Anomaly Detection in Wireless Sensor Networks. In 10th IEEE Singapore International Conference on Communication systems, 2006. ICCS 2006 (pp. 1–5). DOI.
Ranard, B. L., Ha, Y. P., Meisel, Z. F., Asch, D. A., Hill, S. S., Becker, L. B., … Merchant, R. M.(2014) Crowdsourcing—harnessing the masses to advance health and medicine, a systematic review. Journal of General Internal Medicine, 29(1), 187–203. DOI.
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Romanillos, G., & Austwick, M. Z.(2015) Madrid cycle track: visualizing the cyclable city. Journal of Maps, 0(0), 1–9. DOI.
Romanillos, G., Austwick, M. Z., Ettema, D., & Kruijf, J. D.(2015) Big Data and Cycling. Transport Reviews, 0(0), 1–20. DOI.
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Schneider, S., Fischer, J.-R., & König, R. (2011) Rethinking Automated Layout Design: Developing a Creative Evolutionary Design Method for the Layout Problems in Architecture and Urban Design. In J. S. Gero (Ed.), Design Computing and Cognition ’10 (pp. 367–386). Springer Netherlands
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Soule, A., Salamatian, K., & Taft, N. (2005) Combining Filtering and Statistical Methods for Anomaly Detection. In Proceedings of the 5th ACM SIGCOMM Conference on Internet Measurement (pp. 31–31). Berkeley, CA, USA: USENIX Association
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van Albada, S. J., Helias, M., & Diesmann, M. (2015) Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. PLoS Comput Biol, 11(9), e1004490. DOI.
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Zhong, C., Arisona, S. M., Huang, X., Batty, M., & Schmitt, G. (2014) Detecting the dynamics of urban structure through spatial network analysis. International Journal of Geographical Information Science, 28(11), 2178–2199. DOI.
Zhong, C., Arisona, S. M., Huang, X., & Schmitt, G. (2013) Identifying Spatial Structure of Urban Functional Centers Using Travel Survey Data: A Case Study of Singapore. In Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place (p. 28:28–28:33). New York, NY, USA: ACM DOI.
Zhong, C., Huang, X., Müller Arisona, S., Schmitt, G., & Batty, M. (2014) Inferring building functions from a probabilistic model using public transportation data. Computers, Environment and Urban Systems, 48, 124–137. DOI.
Zhong, C., Manley, E., Müller Arisona, S., Batty, M., & Schmitt, G. (2015) Measuring variability of mobility patterns from multiday smart-card data. Journal of Computational Science, 9, 125–130. DOI.