Abstract
In traditional Urban Analysis frameworks, data collection is a rather informal process, and data analysis is based on numerous redundant and context-dependent measures. In addition, when automating the analysis process, the knowledge of the domain experts is often scarcely considered. This paper describes a successful example of human-centred conceptual design, which allowed us to represent and organise the explicit and implicit knowledge of a team of architects and urban planners, using the ER model as a shared language between computer scientists and domain experts.
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Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., Airaksinen, M.: What are the differences between sustainable and smart cities? Cities 60, 234–245 (2017)
Biraghi, C.A.: Multi-scale modelling approach for urban optimization: urban compactness environmental implications. Phd thesis, Politecnico di Milano (2019)
Carmichael, T., Collins, A.J., Hadžikadić, M. (eds.): Complex Adaptive Systems. UCS, Springer, Cham (2019). https://doi.org/10.1007/978-3-030-20309-2
Engin, Z., et al.: Data-driven urban management: mapping the landscape. J. Urban Manag. 9(2), 140–150 (2020). https://doi.org/10.1016/j.jum.2019.12.001, https://www.sciencedirect.com/science/article/pii/S2226585619301153
Gruninger, M.: Methodology for the design and evaluation of ontologies. In: International Joint Conference on Artificial Intelligence (1995)
Kotis, K., Vouros, G.A.: Human-centered ontology engineering: the HCOME methodology. Knowl. Inf. Syst. 10, 109–131 (2006)
Locke, K.: Qualitative research and evaluation methods. Organ. Res. Methods 5(3), 299 (2002)
Lopez, M., Gomez-Perez, A., Sierra, J., Sierra, A.: Building a chemical ontology using methontology and the ontology design environment. IEEE Intell. Syst. Appl. 14(1), 37–46 (1999)
Massimo, T.: Integrated modification methodology (IMM): a phasing process for sustainable urban design. WASET World Acad. Sci. Eng. Technol. (2013)
Nations, U.: Agenda 2030 (2015). https://unric.org/it/agenda-2030/
Nowell, L.S., Norris, J.M., White, D.E., Moules, N.J.: Thematic analysis: striving to meet the trustworthiness criteria. Int J Qual Methods 16(1), 1609406917733847 (2017)
Pinto, H.S., Martins, J.P.: Ontologies: how can they be built? Knowl. Inf. Syst. 6, 441–464 (2004)
Piselli, C., Altan, H., Balaban, O., Kremer, P.: Innovating Strategies and Solutions for Urban Performance and Regeneration. Advances in Science, Technology & Innovation, Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98187-7
Richards, D.: The reuse of knowledge: a user-centred approach. Int. J. Hum Comput Stud. 52(3), 553–579 (2000)
Shneiderman, B.: Human-centered artificial intelligence: reliable, safe & trustworthy. Int. J. Hum. Comput. Interact. 36(6), 495–504 (2020)
Tadi, M., Zadeh, M.H.M., Ogut, O.: Measuring the influence of functional proximity on environmental urban performance via integrated modification methodology: four study cases in Milan. Int. J. Urban Civ. Eng. (2020)
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Lenzi, E., Pucci, E., Cerutti, F., Matera, M., Tanca, L. (2023). Human-Centred Conceptual Modelling for Re-Designing Urban Planning. In: Sales, T.P., Araújo, J., Borbinha, J., Guizzardi, G. (eds) Advances in Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14319. Springer, Cham. https://doi.org/10.1007/978-3-031-47112-4_7
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