Urban Analysis and Smart CommunitiesAn Approach to the Use of Technology in Everyday Mobility

Referencias bibliográficas

• Referencias [1] UNFPA, “Estado de la población mundial 2007,” Fondo de población de las Naciones Unidas, 2007. [En línea]. Disponible en: http://www.unfpa.org/webdav/site/global/shared/documents/publications/2007/swp2007_spa.pdf.
• [2] L. Moreno and A. Gutiérrez, “Ciudades Inteligentes: Oportunidades para generar soluciones sostenibles,” CINTEL, 2012. [En línea]. Dsiponible en: http://cintel.org.co/wp-content/uploads/2013/05/01.Ciudades_Inteligentes_CINTEL.pdf.
• [3] R. M. MacIver, Community: a sociological study, New York, USA: Macmillan. 1924, pp. 22-23.
• [4] R. Park and E. Burgess, “Can neighborhood work have a scientific basis?,” in The City: Suggestions For The Investigation Of Human Behavior In The City Environment, Chicago: University of Chicago Press, 1967, p. 144.
• [5] N. Hataya, “The illusion of community participation: experience in the irregular settlements of Bogotá,” Universidad de Londres, 2007.
• [6] J. M. Eger, “The Smart Community concept,” 2014. [En línea]. Disponible en: http://www.smartcommunities.org/concept.php.
• [7] C. Rabari and M. Storper, “The digital skin of cities: urban theory and research in the age of the sensored and metered city, ubiquitous computing and big data,” Cambridge J. Reg. Econ. Soc., vol. 8, no. 1, pp. 27–42, 2014. DOI:10.1093/cjres/rsu021
• [8] L. Anthopoulos and P. Fitsilis, “Defining a Common Architecture for Urban Development,” in Digital to Ubiquitous Cities, 2010, pp. 301–306. DOI:10.1109/IE.2010.61
• [9] J. Ma, L. T. Yang, B. O. Apduhan, R. Huang, L. Barolli, and M. Takizawa, “Towards a smart world and ubiquitous intelligence: A walkthrough from smart things to smart hyperspaces and UbicKids,” Int. J. Pervasive Comput. Commun., vol. 1, no. 1, pp. 53–68, 2005. DOI:10.1108/17427370580000113
• [10] F. Xia and J. Ma, “Building smart communities with cyber-physical systems,” in 1st international symposium on From digital footprints to social and community intelligence, 2011, pp. 1–6. DOI:10.1145/2030066.2030068
• [11] A. Coe, G. Paquet, and J. Roy, “E-Governance and Smart Communities A Social Learning Challenge,” Soc. Sci. Comput. Rev., vol. 19, no. 1, pp. 80–93, 2001. DOI:10.1177/089443930101900107
• [12] M. Wijnants, W. Lamotte, N. Letor, C. Blondia, E. De Poorter, D. Naudts, S. Verstichel, B. Lannoo, I. Moerman, N. Matthys, and C. Huygens, “An Eco-friendly Hybrid Urban Computing Network Combining Community-Based Wireless LAN Access and Wireless Sensor Networking,” in International Conference on Green Computing and Communications (GreenCom), 2012, pp. 410–417. DOI:10.1109/GreenCom.2012.66
• [13] H. Wactlar, R. Walters, J. Bertoty, and A. Hauptmann, “The Aware Community,” in Second International Conference on Future Generation Communication and Networking, 2008, pp. 457–462.
• [14] H. Yongjia, “The Plan of Elderly Smart Community: Based on the Concept of Internet of Things,” in International Conference on Management and Service Science (MASS), 2010, pp. 1–4. DOI:10.1109/ICMSS.2010.5577525
• [15] EWG Secretariat, “2012 EWG Work Plan,” Work Plan for 2012: APEC Energy Working Group, 2012. [En línea]. Disponible en: http://www.iisd.org/gsi/sites/default/files/g20lib_apec_2012_ewg43workplan.pdf.
• [16] C. Bloyd, “Energy Smart Communities (ESCI) and APEC Smart Grid Initiative (ASGI) Update,” Pacific Northwest, 2013. [En línea]. Disponible en: http://www.egnret.ewg.apec.org/meetings/egnret39/[C4] Bloyd ESCI ASGI.pdf.
• [17] T. Hidekazu, “The Smart Community System Demonstration Project in Malaga,” Nedo, 2012. [En línea]. Disponible en: http://www.nedo.go.jp/content/100455503.pdf.
• [18] P. Rodríguez, “Smart Mobility: movilidad inteligente en las ciudades,” i-ambiente, 2013. [En línea]. Disponible en: http://www.i-ambiente.es/?q=blogs/smart-mobility-movilidad-inteligente-en-las-ciudades#.dpuf.m.
• [19] H. Okajima, “Sustainable Mobility and Smart Community,” Toyota Motor Corporation. May, 2012. [En línea]. Disponible en: http://www.nedo.go.jp/content/100494310.pdf
• [20] NEDO, “‘Smart Communities’ that Link People, Objects and Technologies by means of ICTs to Create Safe, Reliable and Pleasant Social Systems,” 2012. [En línea]. Disponible en: http://www.nedo.go.jp/content/100494623.pdf
• [21] W. Unette Sealy, “Empowering Development through E-Governance: Creating Smart Communities in Small Island States,” Int. Inf. Libr. Rev., vol. 35, no. 2–4, pp. 335–358, 2003. DOI:10.1080/10572317.2003.10762609
• [22] Xu Li; Rongxing Lu; Xiaohui Liang; Xuemin Shen; Jiming Chen; Xiaodong Lin, "Smart community: an internet of things application," Communications Magazine, IEEE , vol.49, no.11, pp.68,75, 2011. DOI:10.1109/MCOM.2011.6069711
• [23] X. Liang, K. Zhang, R. Lu, X. Lin, and X. Shen, “EPS: An Efficient and Privacy-Preserving Service Searching Scheme for Smart Community,” Sensors Journal, IEEE, vol. 13, no. 10, pp. 3702–3710, 2013. DOI:10.1109/JSEN.2013.2263793
• [24] ENDESA,“Málaga Smart City Model of sustainable energy management for the cities of the future,” Berlin, 2011. [En línea]. Disponible en: http://www.endesa.com/EN/SALADEPRENSA/CENTRODOCUMENTAL/Publicaciones/Smartcity-Malaga_ENG.pdf
• [25] Y. Komiyama, “Smart Communities,” METI. Japón. 2011. [En línea]. Disponible en: http://www.enecho.meti.go.jp/notice/event/036/pdf/event036013.pdf
• [26] S. Morozumi, “Strategy of smart community in NEDO and New Mexico Japan-US Demonstration Project,” New Energy and Industrial Technology Development Organization. Event Report on "Smart Community Summit 2012" and "Smart Grid Exhibition 2012.
• [27] NEDO. “Lyon Smart Community,” At Confluence of energy and the environment. NEDO. Lyon, 2012. [En línea]. Disponible en: http://www.economie.grandlyon.com/fileadmin/user_upload/fichiers/site_eco/20121121_gl_lyon_smart_community_dp_en.pdf
• [28] X. Liang, X. Li, R. Lu, X. Lin, and X. Shen, “Enabling pervasive healthcare with privacy preservation in smart community,” in IEEE International Conference on Communications (ICC), 2012, pp. 3451–3455. DOI:10.1109/ICC.2012.6363888
• [29] M. Castells, “Internet y la Sociedad Red,” 2001. [En línea]. Disponible en: http://tecnologiaedu.us.es/cursos/29/html/bibliovir/pdf/106.pdf .
• [30] H. Rheingold, Multitudes Inteligentes. La Próxima Revolución Social. Barcelona: Gedisa, 2004, pp. 14–18.
• [31] S. Sacaan, “Las redes sociales y la inteligencia colectiva: Nuevas oportunidades de participación ciudadana,” in IV Congreso de la Cibersociedad, 2009. [En línea]. Disponible en: http://www.cibersociedad.net/congres2009/es/coms/las-redes-sociales-y-lainteligencia-.
• [32] W. Sherchan, S. Nepal, and C. Paris, “A survey of trust in social networks,” ACM Comput. Surv., vol. 45, no. 4, 2013, pp.1-33. DOI:10.1145/2501654.2501661
• [33] C. S. Ferro, “Los paradigmas indiciarios del análisis urbano A propósito del análisis urbano y las escuelas de arquitectura,” Arquit., vol. 5, no. 5, pp. 42–53, 2009.
• [34] C. Mataix, “El concepto de la movilidad sostenible,” Alba, 2014. [En línea]. Disponible en: http://www.fenercom.com/pages/pdf/formacion/05-02-2014-Jornada-sobre-Movilidad-y-transporte/01-EL-CONCEPTO-DE-LA-MOVILIDAD-SOSTENIBLE-ALBA-INGENIEROS.
• [35] C. Lizarraga, “Expansión metropolitana y movilidad: el caso de Caracas,” EURE, vol. 38, no. 113, pp. 99–125, 2012. DOI:10.4067/S0250-71612012000100005
• [36] D. Robinson; and G. Banjo,“Rural Transport Policy in Action,” World Bank. 1999. [En línea]. Disponible en: http://www.transport-links.org/rtkb/english/Module%201%5C1_3a%20Policy%20Development%20Process.pdf
• [37] E. A. Vasconcellos, Análisis de la movilidad urbana. Espacio, medio ambiente y equidad, 1st ed. Bogota: CAF, 2010. [En línea]. Disponible en: http://omu.caf.com/media/14683/an%C3%A1lisis_movilidad_urbana.pdf
• [38] M. Held, Verkehrsmittelwahl der Verbraucher. Beiträge einer kognitiven Motivationstheorie zur Erklärung der Nutzung alternativer Verkehrsmittel. Berlin, D, Germany: Speyer & Peters GmbH, 1982.
• [39] B. Du, Y. Yang, and W. Lv, “Ubiquitous Intelligence and Computing,” in IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC), 2013, pp. 127–133.
• [40] Q. Yuan, G. Cong, Z. Ma, A. Sun, and N. Magnenat- Thalmann, “Who, where, when and what: discover spatio-temporal topics for twitter users”. in 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013, pp. 605–613. DOI:10.1145/2487575.2487576
• [41] O. Järv, R. Ahas, and F. Witlox, “Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records,” Transp. Res. Part C Emerg. Technol., vol. 38, pp. 122–135, 2014. DOI:10.1016/j.trc.2013.11.003
• [42] P. Bouman, E. van der Hurk, L. Kroon, T. Li, and P. Vervest, “Detecting activity patterns from smart card Data”, in 25th Benelux Conference on Artificial Intelligence (BNAIC 2013), 2013. DOI:10.3141/2276-06
• [43]M. Bagchi and P. R. White, “The potential of public transport smart card data,” Transp. Policy, vol. 12, no. 5, pp. 464–474, 2005. DOI:10.1016/j.tranpol.2005.06.008
• [44] E. Van der Hurk, L. Kroon, T. Li T, G. Maróti and P. Vervest, “Using Smart Card Data For Better Disruption Management In Public Transport: Predicting travel behavior of passengers”, in 11th TRAIL Congress "Connecting people, Integrating expertise", pp. 1-5. 2010. [Online]. Available: http://rstrail.nl/new/wp-content/uploads/2015/02/Hurk_0.pdf
• [45] N. Lathia, C. Smith, J. Froehlich, and L. Capra, “Individuals among commuters: Building personalised transport information services from fare collection systems,” Pervasive Mob. Comput., vol. 9, no. 5, pp. 643–664, 2013. DOI:10.1016/j.pmcj.2012.10.007
• [46] C. Morency, M. Trépanier, and B. Agard, “Measuring transit use variability with smart-card data,” Transp. Policy, vol. 14, no. 3, pp. 193–203, 2007. DOI:10.1016/j.tranpol.2007.01.001
• [47] M. Li, B. Du, and J. Huang, “Travel patterns analysis of urban residents using Automated Fare Collection System,” in 12th International Conference on Telecommunications (ITST), pp. 442–446, 2012. DOI:10.1109/ITST.2012.6425216
• [48] L. Liu, A. Hou, A. Biderman, C. Ratti, and J. Chen, “Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen,” in 12th International IEEE Conference on Intelligent Transportation Systems, pp. 1–6, 2009. DOI:10.1109/ITSC.2009.5309662
• [49] M. E. Sánchez, Integración de Foursquare y Geolocalización en una Aplicación Móvil para la Creación de Rutas Turísticas, 2012.
• [50] M. Nanni, R. Trasarti, C. Renso, F. Giannotti, and D. Pedreschi. “Advanced knowledge discovery on movement data with the GeoPKDD system”, in Proc. ACM EDBT '10, New York, USA, 2010, pp. 693-696. DOI: 10.1145/1739041.1739129
• [51] Z. Yan, D. Chakraborty, C. Parent, S. Spaccapietra, and K. Aberer, “Semantic trajectories: Mobility data computation and annotation”, ACM Trans. Intell. Syst. Technol. Vol. 4, no. 3, 2013. DOI:10.1145/2483669.2483682
• [52] T. M. T. Do and D. Gatica-Perez, “The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data,” IEEE Trans. Mob. Comput., vol. 13, no. 3, pp. 638–648, 2014. DOI:10.1109/TMC.2013.19
• [53] F. Calabrese, M. Diao, G. Di Lorenzo, J. Ferreira, and C. Ratti, “Understanding individual mobility patterns from urban sensing data: A mobile phone trace example,” Transp. Res. Part C Emerg. Technol., vol. 26, pp. 301–313, 2013. DOI:10.1016/j.trc.2012.09.009
• [54] Y. Yuan, M. Raubal, and Y. Liu, “Correlating mobile phone usage and travel behavior – A case study of Harbin, China,” Comput. Environ. Urban Syst., vol. 36, no. 2, pp. 118–130, 2012. DOI:10.1016/j.compenvurbsys.2011.07.003
• [55] C. Kang, X. Ma, D. Tong, and Y. Liu, “Intra-urban human mobility patterns: An urban morphology perspective,” Phys. A Stat. Mech. its Appl., vol. 391, no. 4, pp. 1702–1717, 2012. DOI:10.1016/j.physa.2011.11.005
• [56] V. Pande, W. Elmannai, and K. Elleithy, “Mobile and Wi-Fi Geo location using Google Latitude,” in World Congress on Computer and Information Technology (WCCIT), 2013, pp. 1–5. DOI:10.1109/WCCIT.2013.6618709
• [57] M. Piorkowski, “Sampling Urban Mobility through On-line Repositories of GPS Tracks Categories and Subject Descriptors,” in Proc. ACM HotPlanet '09. New York, USA, 2009, pp. 1-6. [En línea]. Disponible en: http://infoscience.epfl.ch/record/138714/files/PiorkowskiHotPlanet09PAPER.pdf. DOI: 10.1145/1651428.1651430
• [58] Wikipedia, “Geoetiquetado.” [En línea]. Disponible en: http://es.wikipedia.org/wiki/Geoetiquetado.
• [59] C. Zhang, L. Shou, K. Chen, G. Chen, and Y. Bei, “Evaluating geo-social influence in location-based social networks,” in 21st ACM international conference on Information and knowledge management, 2012, pp. 1442–1451. DOI: 10.1145/2396761.2398450
• [60] A. Tarasov, F. Kling, and A. Pozdnoukhov. “Prediction of user location using the radiation model and social check-ins”, 2nd ACM SIGKDD International Workshop on Urban Computing. New York, USA, 2013, pp. 7. [En línea]. Disponible en: http://www.cs.uic.edu/~urbcomp2013/papers/Paper%2018_Alexey%20Tarasov.pdf DOI:10.1145/2505821.2505833
• [61] M. Lin and W.-J. Hsu, “Mining GPS data for mobility patterns: A survey,” Pervasive Mob. Comput., vol. 12, pp. 1–16, 2014. DOI:10.1016/j.pmcj.2013.06.005
• [62] Wikipedia, “Minería de datos,” 2014. [En línea]. Disponible en: http://es.wikipedia.org/wiki/Minería_de_datos.
• [63] M. Servente, “Algoritmos TDIDT aplicados a la minería de datos inteligente,” Universidad de Buenos Aires, 2002.
• [64] A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti. “WhereNext: a location predictor on trajectory pattern mining”, in 15th ACM KDD '09. New York, USA, 2009, pp. 637-646. DOI: 10.1145/1557019.1557091
• [65] J. Han, J.-G. Lee, H. Gonzalez, and X. Li, “Mining massive rfid, trajectory, and traffic data sets (tutorial),” in ACM KDD’08 , 2008, pp. 38. DOI:10.1145/1401890.1551566
• [66] F. Giannotti, M. Nanni and D. Pedreschi, “Efficient Mining of Temporally Annotated Sequences,” in Proc. SDM’06, Pisa, Italy, 2006, pp. 346–357. [En línea]. Disponible en: http://siam.org/meetings/sdm06/proceedings/032giannottif.pdf DOI:10.1137/1.9781611972764.31
• [67] V. Daniel, P. Marc and T. Marc. "Citizen as a Sensor: The Barcelona Urban Mobility Use-case," in Smart City Expo World Congress, Barcelona, España. 2012. [En línea]. Disponible en: http://marcpous.com/pdf/Paper_SmartCityExpo_2012.pdf
• [68] EuropaPress, “Santander, Málaga y Zaragoza participan en los primeros pilotos del proyecto I+D+i en Smart Cities Ciudad 2020,” 2014. [En línea]. Disponible en: http://noticias.lainformacion.com/economia-negocios-y-finanzas/software/santander-malaga-y-zaragoza-participan-en-los-primeros-pilotos-del-proyecto-i-d-i-en-smart-cities-ciudad-2020_Kq1LUgkzBGGEHSM1Raue83/.
• [69] Siemens, S. A. “Soluciones inteligentes para el tráfico de hoy y del mañana,” Siemens Traffic Solutions, Madrid, pp. 1–14. 2013. [En línea]. Disponible en: https://www.swe.siemens.com/spain/web/es/industry/mobility/Documents/traffic.pdf
• [70] Roadtraffic-Technology, “Hong Kong Intelligent Transport System (ITS), China,” 2014. [En línea]. Disponible en: http://www.roadtraffic-technology.com/projects/hong-kong/
• [71] Alcaldía de Medellín, “¿Qué es el SIMM?,” 2014. [En línea]. Disponible en: http://www.medellin.gov.co/SIMM/.
• [72] H. Lin, “Applying location based services and social network services onto tour recording,” in International Joint Conference on Computer Science and Software Engineering (JCSSE),2012, pp. 197–200. DOI:10.1109/JCSSE.2012.6261951
• [73] Y. Yang, B. Du, and X. Jiang, “A Human Trajectory Estimate Based on Individual Mobility Pattern Library,” IEEE International Conference on Green Computing and Communications and IEEE Cyber, Physical and Social Computing (GreenCom), IEEE and Internet of Things (iThings/CPSCom), pp. 1181–1185, 2013. DOI:10.1109/GreenCom-iThings-CPSCom.2013.205
• [74] N. Lathia, J. Froehlich, and L. Capra, “Mining Public Transport Usage for Personalised Intelligent Transport Systems,” IEEE 10th International Conference on Data Mining (ICDM), pp. 887–892, 2010. DOI:10.1109/ICDM.2010.46
• [75] L. Tang and P. (Vonu) Thakuriah, “Ridership effects of real-time bus information system: A case study in the City of Chicago,” Transp. Res. Part C Emerg. Technol., vol. 22, pp. 146–161, 2012. DOI:10.1016/j.trc.2012.01.001
• [76] L. Wu-Hs, “Loco-Radio – Designing High-Density Augmented Reality”, Ph.D. dissertation, School of Architecture and Planning, Massachusetts Institute of Technology, Massachusetts, 2014. [En línea]. Disponible en: http://web.media.mit.edu/~wuhsi/download/li_wuhsi_phd_thesis_final.pdf
• [77] G. Pestana, A. Casaca, I. Rebelo, S. Couronné, and I. Ist, “LocON : A Location Based Services Platform to Improve Airport Safety,” IEEE Aerospace Conference, 2011, vol., no., pp.1, 10, 5-12, 2011. DOI:10.1109/AERO.2011.5747375
• [78] M.R. Ebling, and R. Cáceres, “Gaming and Augmented Reality Come to Location-Based Services,” IEEE Computer Society, vol. 9, pp. 5-6, 2010. DOI:10.1109/MPRV.2010.5
• [79] PresseLite, (2014, Jun) “L'application Métro Paris sur iPhone et iPod Touch” 2014. [En línea]. Disponible en: http://www.presselite.com/iphone/metroparis/
• [80] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami. “Internet of Things (IoT): A vision, architectural elements, and future directions”. Future Gener. Comput. Syst. vol. 29, no. 7, pp. 1645-1660, 2013. DOI:10.1016/j.future.2013.01.010
• [81] H. Chenji, W. Zhang; M. Won, R. Stoleru and C Arnett, C., "A wireless system for reducing response time in Urban Search & Rescue," IEEE 31st International Performance Computing and Communications Conference, vol., no., pp.215, 224, 2012. DOI:10.1109/PCCC.2012.6407756