The representation for all model: An agent-based collaborative method for more meaningful citizen participation in urban planning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7973 LNCS, Issue PART 3, 2013, Pages 324-339

  Marsal Llacuna, Maria Lluïsa ^a   De La Rosa Esteva, Josep Lluís ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

decision support system; opinion miner recommender agents; public participation; urban planning

Indexed keywords

AGENT BASED; AGENT TECHNOLOGY; BARCELONA; CITIZEN PARTICIPATION; DSS MODELS; MASTER PLAN; PUBLIC PARTICIPATION; RECOMMENDER AGENT;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; MINERS; PLANNING;

URBAN PLANNING;

EID: 84880725598     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39646-5_24     Document Type: Conference Paper

References (55)

1. Gordon, E., Schirra, S., Hollander, J.: Immersive planning: a conceptual model for designing public participation with new technologies. Environment and Planning BPlanning & Design 38, 505-519 (2011)
2. Bugs, G., Granell, C., Fonts, O., Huerta, J., Painho, M.: An assessment of Public Participation GIS and Web 2.0 technologies in urban planning practice in Canela, Brazil. Cities 27(3), 172-181 (2010)
3. Brabham, D.: Crowdsourcing the Public Participation Process for Planning Projects. Planning Theory 8(3), 242-262 (2009)
4. Dai, C., Li, T.: Research on the Application of Virtual Reality Technology in the Large-scale Public Construction Planning Dynamic Analysis, Editor(s): China Civil Eng. Soc., Chinese Acad. of Eng./DCHAE; Tongji Univ., China State Construction Eng. Co. Ltd. Proceedings of Shanghai Intl. Conf. on Tech. of Architecture and Structure, 580-586 (2009)
5. Bogdahn, J., Coors, V., Sachdeva, V.: A 3D tool for public participation in urban planning. In: Coors, V., Rumor, M., Fendel, E., Zlatanova, S. (eds.) Urban and Regional Data Management. Procs. and Monographs in Eng., Water and Earth Sciences, pp. 231-236 (2008)
6. Howard, T.L.J., Gaborit, N.: Using virtual environment tech. to improve public participation in urban planning process. J. Urban Planning and Dev., ASCE 133(4), 233-241 (2007)
7. Dzitac, I., Moisil, I.: Advanced AI Techniques for Web Mining. In: Mastorakis, N.E., Poulos, M., Mladenov, V., Bojkovic, Z., Simian, D., Kartalopoulos, S. (eds.) Mathematical Methods, Computational Techniques, Non-linear Systems, Intelligent Systems. Mathematics and Computers in Science and Engineering, pp. 343-346 (2008)
8. Ligtenberg, A., Bregt, A., Van Lammeren, R.: Multi-actor-based land use modelling: spatial planning using agents. Landscape and Urban Planning 56, 21-33 (2001)
9. Ligtenberg, A., Beulens, A., Kettenis, D., Bregt, A., Wachowicz, M.: Simulating knowledge sharing in spatial planning: An agent-based approach. Environment and Planning B-Planning & Design 36, 644-663 (2009)
10. Kou, X., Yang, L., Cai, L.: Artificial Urban Planning: Application of MAS in Urban Planning Education. In: 2008 Intl. Symp. on Computational Intelligence and Design, vol. 2, pp. 349-353 (2008)
11. Wagner, R.: On the metric, topological and functional structures of urban networks. Physical-statistical Mechanics and its Applications 387(2008), 2120-2132 (2008)
12. Chen, J., Jiang, J., Yeh, A.: Designing a GIS-based CSCW system for dev. control with an event-driven approach. Photogrammetric Eng. and Remote Sensing 70, 225-233 (2004)
13. Li, X., Liu, X.P.: Embedding sustainable development strategies in agent-based models for use as a planning tool. Intl. Journal of Geographical Information Science 22, 21-45 (2008)
14. Batty, M.: Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. The MIT Press (2007)
15. Aschwanden, G., Haegler, S., Bosche, F., Van Gool, L., Schmitt, G.: Empiric design evaluation in urban planning. Automation in Construction 20, 299-310 (2011)
16. Dijkstra, J., Timmermans, H.: Towards a multi-agent model for visualizing simulated user behavior to support the assessment of design performance. Automation in Construction 11, 135-145 (2002)
17. Steinhöfel, J., Anders, F., Köhler, H., Kalisch, D., König, R.: Computer-Based Methods for a Socially Sustainable Urban and Regional Planning-CoMStaR. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds.) ICCSA 2010, Part I. LNCS, vol. 6016, pp. 152-165. Springer, Heidelberg (2010)
18. Arentze, T.A., Borgers, A., Ma, L.D., Timmermans, H.: An agent-based heuristic method for generating land-use plans in urban planning. Environment and Planning B-Planning & Design 37, 463-482 (2010)
19. Casali, A., Godo, L., Sierra, C.: Validation and Experimentation of a Tourism Recommender Agent based on a Graded BDI Model. In: Alsinet, T., PuyolGruart, J., Torras, C. (eds.) AI Research and Dev. Frontiers in Artificial Intelligence and Applications, vol. 3, pp. 41-50 (2008)
20. Yang, H.-L., Yang, H.-F.: Recommender agent based on social network. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol. 4570, pp. 943-952. Springer, Heidelberg (2007)
21. Haubl, G., Murray, K.: Double agents. MIT SLOAN Management Review 47 (2006)
22. Rosaci, D., Sarne, G.: Dynamically Computing Reputation of Recommender Agents with Learning Capabilities. In: Badica, C., Mangioni, G., Carchiolo, V., Burdescu, D.D. (eds.) Intel. Distributed Comput., Systems & Appl. SCI, vol. 162, pp. 299-304. Springer, Heidelberg (2008)
23. Zaiane, O.: Building a recommender agent for e-learning systems. In: Kinshuk, X., Lewis, R., Akahori, K., Kemp, R., Okamoto, T., Henderson, L., Lee, C.H. (eds.) Proceedings of International Conference on Computers in Education (I-II), pp. 55-59 (2002)
24. Cristian Mihaescu, M., Burdescu, D.D., Ionascu, C.M., Logofatu, B.: Intelligent Educational System Based on Personal Agents. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds.) New Directions in Intelligent Interactive Multimedia Systems and Services-2 SCI, vol. 226, pp. 545-554. Springer, Heidelberg (2009)
25. Karoui, H., Kanawati, R., Petrucci, L.: COBRAS: Cooperative CBR system for bibliographical reference recommendation. In: Roth-Berghofer, T.R., Göker, M.H., Gudie;venir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 76-90. Springer, Heidelberg (2006)
26. Garruzzo, S., Rosaci, D., Sarné, G.M.L.: MARS: An agent-based recommender system for the semantic web. In: Indulska, J., Raymond, K. (eds.) DAIS 2007. LNCS, vol. 4531, pp. 181-194. Springer, Heidelberg (2007)
27. Takenouchi, T., Kawamura, T., Ohsuga, A.: Development of knowledge-filtering agent along with user context in ubiquitous environment. In: Enokido, T., Yan, L., Xiao, B., Kim, D.Y., Dai, Y.-S., Yang, L.T. (eds.) EUC-WS 2005. LNCS, vol. 3823, pp. 71-80. Springer, Heidelberg (2005)
28. Montaner, M., Lopez, B., de la Rosa, J.: A taxonomy of recommender agents on the Internet. Artificial Intelligence Review 19, 285-330 (2003)
29. Kim, J.H., Kwon, H.J., Hong, K.S.: Location awareness-based intelligent multi-agent technology. Multimedia Systems 16, 275-292 (2010)
30. Lee, C.S., Wang, M.H., Hagras, H.A.: Type-2 Fuzzy Ontology and its Application to Personal Diabetic-Diet Recommendation. IEICE Trans. on Info. and Systems 18, 374-395 (2010)
31. McCarey, F., O'Cinneide, M., Kushmerick, N.: A recommender agent for software libraries: An evaluation of memory-based and model-based collaborative filtering. In: Nishida, T., et al. (eds.) 2006 IEEE/WIC/ACM Intl Conf. on Intelligent Agent Technology (2006), pp. 154-162 (2006)
32. Kantardzic, M.: Data Mining: Concepts, Models, Methods, and Algorithms. John Wiley & Sons, New Jersey (2003)
33. Liu, B.: Web Data Mining. Exploring Hyperlinks, Contents, and Usage Data. Springer, Heidelberg (2007)
34. Lau, R.: Belief revision for adaptive recommender agents in E-commerce. In: Liu, J., Cheung, Y.-M., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 99-103. Springer, Heidelberg (2003)
35. Kusumura, Y., Hijikata, Y., Nishida, S.: NTM-Agent: Text mining agent for net auction. IEICE Transactions on Information and Systems E87D, 1386-1396 (2004)
36. Blanke, T., Hedges, M., Palmer, R.: Restful services for the e-Humanities-web services that work for the e-Humanities ecosystem. In: 3rd IEEE International Conference on Digital Ecosystems and Technologies, pp. 290-295 (2009)
37. Chiang, J.H., Chen, Y.C.: An intelligent news recommender agent for filtering and categorizing large volumes of text corpus. Intl J. of Intelligent Systems 19, 201-216 (2004)
38. Aciar, S., Zhang, D., Simoff, S., Debenham, J.: Informed recommender agent: Utilizing consumer product reviews through text mining. In: Butz, C.J., et al. (eds.) IEEE/WIC/ACM Intl Conf. on Web Intelligence and Agent Technology, pp. 37-40 (2006)
39. Papagelis, M., Plexousakis, D.: Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents. Eng. Applications of AI 18, 781-789 (2005)
40. Smeureanu, I., Diosteanu, A., Delcea, C., Cotfas, L.: Business Ontology for Evaluating Corporate Social Responsibility. Amfiteatru Economic 13, 28-42 (2011)
41. Herlocker, J., Konstan, J.A., Terveen, L., Riedl, J.: Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems (TOIS) 22 (2004)
42. Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based coll. filtering recommendation algorithms. In: 10th Intl. Conf. on World Wide Web, pp. 285-295. ACM Press, NY (2001)
43. Pazzani, M.: A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review 13, 393-408 (1999)
44. Kobsa, A., Koenemann, J., Pohl, W.: Personalized hypermedia presentation techniques for improving online customer relationships. The Knowledge Eng. Review 16, 111-155 (2001)
45. Krulwich, B.: Lifestyle finder: intelligent user profiling using large-scale demographic data. Artificial Intelligence Magazine 18, 37-45 (1997)
46. Wang, Z., Liu, A.: Toward Intelligent Web Collaborative Learning System. In: Hu, Z.B., Liu, Q.T. (eds.) Proceedings of the First International Workshop on Education Technology and Computer Science III, pp. 467-471 (2009)
47. Lele, N., Wu, L., Akavipat, R., Menczer, F.: Sixearch.org 2.0 peer application for collaborative web search. In: Conference on Hypertext and Hypermedia archive, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia Table of Contents, pp. 333-334 (2009)
48. Trias, A., Mansilla, J., de la Rosa, J.L.L.: Asknext: An Agent Protocol for Social Search. Information Sciences 190, 144-161 (2012)
49. Smyth, B., Briggs, P., Coyle, M., O'Mahony, M.: Google Shared. A Case-Study in Social Search. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 283-294. Springer, Heidelberg (2009)
50. Yu, B., Singh, M.P., Sycara, K.: Developing Trust in Large-Scale Peer-to-Peer Systems. In: First IEEE Symposium on Multi-Agent Security and Survivability, pp. 1-10 (2004)
51. Kassoff, M., Petrie, C., Zen, L.M., Genesereth, M.: Semantic Email Addressing, The Semantic Web Killer App? IEEE Internet Computing, 30-37 (2009)
52. Scottish Transport Organization, http://www.scottishtransport.org/new- trams-for-edinburgh/edinburgh-tram-i
53. Dublin Municipality. Railway Procurement Agency, http://www.rpa.ie/en/ Pages/default.aspx
54. London transport authority, http://www.tfl.gov.uk/assets/downloads/final- report.pdf
55. Transport for Greater Manchester, http://www.tfgm.com/2009-news.cfm? news-id=9006950?submenuheader=3