Optimizing urban layouts through computational generative design: density distribution and shape optimization

References

• Abdollahzadeh, N., & Biloria, N. (2022). Urban microclimate and energy consumption: A multi-objective parametric urban design approach for dense subtropical cities. Frontiers of Architectural Research, 11(3), 453–465.
   Web of Science ®Google Scholar
• Ataman, C., & Tuncer, B. (2022). Urban interventions and participation tools in urban design processes: A systematic review and thematic analysis (1995–2021). Sustainable Cities and Society, 76, 103462. doi:10.1016/j.scs.2021.103462
   Web of Science ®Google Scholar
• Azizi, V., Usman, M., Zhou, H., Faloutsos, P., & Kapadia, M. (2022). Graph-based generative representation learning of semantically and behaviorally augmented floorplans. The Visual Computer, 38(8), 2785–2800. doi:10.1007/s00371-021-02155-w
   Web of Science ®Google Scholar
• Banihashemi, S., Golizadeh, H., & Rahimian, F. P. (2022). Data-driven BIM for energy efficient building design. London: Taylor & Francis.
   Google Scholar
• Banihashemi, S., Tabadkani, A., & Hosseini, M. R. (2018). Integration of parametric design into modular coordination: A construction waste reduction workflow. Automation in Construction, 88, 1–12. doi:10.1016/j.autcon.2017.12.026
   Web of Science ®Google Scholar
• Banihashemi, S., & Zarepour Sohi, S. (2022). Data-centric Regenerative Built Environment: Big Data for Sustainable Regeneration. London: Routledge.
   Google Scholar
• Barbosa, J. A., Araújo, C., Mateus, R., & Bragança, L. (2016). Smart interior design of buildings and its relationship to land use. Architectural Engineering and Design Management, 12(2), 97–106. doi:10.1080/17452007.2015.1120187
   Web of Science ®Google Scholar
• Bayat, R., Ashrafi, K., Shafiepour Motlagh, M., Hassanvand, M. S., Daroudi, R., Fink, G., & Künzli, N. (2019). Health impact and related cost of ambient air pollution in Tehran. Environmental Research, 176, 108547. doi:10.1016/j.envres.2019.108547
   PubMed Web of Science ®Google Scholar
• Calixto, V., & Celani, G. (2015). A literature review for space planning optimization using an evolutionary algorithm approach: 1992-2014. Blucher Design Proceedings, 2(3), 662–671.
   Google Scholar
• Camporeale, P. E., & Mercader-Moyano, P. (2019). Towards nearly Zero Energy Buildings: Shape optimization of typical housing typologies in Ibero-American temperate climate cities from a holistic perspective. Solar Energy, 193, 738–765. doi:10.1016/j.solener.2019.09.091
   Web of Science ®Google Scholar
• Carrasco, F. J. C., Iglesias, L. M. P., Amani, N., & Rafat, A. (2022). Feasibility of using green roof and shading device by adopting the total energy consumption approach: A case study in Tehran. Technology, Energy and Environment in Construction, 107–118. doi:10.17993/IngyTec.2022.82
   Google Scholar
• Cheddadi, M. A., Hotta, K., & Ikeda, Y. (2019). An urban form-finding parametric model based on the study of spontaneous urban tissues, Intel. Informed–Proc., 24th Int. Conf. on Computer-Aided Architectural Design Research in Asia, CAADRIA, Wellington, New Zealand.
   Google Scholar
• De Luca, F.. (2017). From envelope to layout-buildings massing and layout generation for solar access in urban environments. Proceedings of the 35th International Conference on Education and Research in Computer Aided Architectural Design in Europe (ECAADe), Rome, Italy.
   Google Scholar
• Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25–32. doi:10.5465/amj.2007.24160888
   Web of Science ®Google Scholar
• El Ansary, A. M., & & Shalaby, M. (2014). Evolutionary optimization technique for site layout planning. Sustainable Cities and Society, 11, 48–55. doi:10.1016/j.scs.2013.11.008
   Web of Science ®Google Scholar
• Fallah, S. N., Khalili, A., & bin Mohd Rasdi, M. T. (2015). Privacy as a cultural value in traditional Iranian housing; lessons for modern Iranian high density vertical development (HDVD) housing. ArchNet-IJAR: International Journal of Architectural Research, 9(1), 198. doi:10.26687/archnet-ijar.v9i1.324
   Google Scholar
• Fattahi Tabasi, S., & & Banihashemi, S. (2022). Design and mechanism of building responsive skins: State-of-the-art and systematic analysis. Frontiers of Architectural Research, 11(6), 1151–1176. doi:10.1016/j.foar.2022.05.006
   Web of Science ®Google Scholar
• Fattahi Tabasi, S., Matin, A., & Rafizadeh, H. R. (2021). Simultaneous effect of form modifications and topology of the bracing system on the structural performance of timber high rise building (introducing an innovative approach using parametric design). International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
   Google Scholar
• Ghabraie, K., Chan, R., Huang, X., & Xie, Y. M. (2010). Shape optimization of metallic yielding devices for passive mitigation of seismic energy. Engineering Structures, 32(8), 2258–2267. doi:10.1016/j.engstruct.2010.03.028
   Web of Science ®Google Scholar
• Guo, Z., & Li, B. (2017). Evolutionary approach for spatial architecture layout design enhanced by an agent-based topology finding system. Frontiers of Architectural Research, 6(1), 53–62. doi:10.1016/j.foar.2016.11.003
   Web of Science ®Google Scholar
• Haidar, A., Underwood, J., & Coates, P. (2019). Smart processes for smart buildings: ‘sustainable processes’, ‘recyclable processes’ and ‘building seeds’ in parametric design. Architectural Engineering and Design Management, 15(5), 402–429.
   Web of Science ®Google Scholar
• Huang, Y.-S., Chang, W.-S., & Shih, S.-G. (2015). Building massing optimization in the conceptual design phase. Computer-Aided Design and Applications, 12(3), 344–354. doi:10.1080/16864360.2014.981465
   Google Scholar
• Ibrahim, Y., Kershaw, T., Shepherd, P., & Coley, D. (2021). On the optimisation of urban form design, energy consumption and outdoor thermal comfort using a parametric workflow in a hot arid zone. Energies, 14(13), 4026. doi:10.3390/en14134026
   Web of Science ®Google Scholar
• Irani, M., Armstrong, P., & Rastegar, A. (2017). Evolution of residential building in Iran based on organization of space. Asian Cult. Hist, 9(2), 46. doi:10.5539/ach.v9n2p46
   Google Scholar
• Irvine, K. N., Fuller, R. A., Devine-Wright, P., Tratalos, J., Payne, S. R., Warren, P. H., … Gaston, K. J. (2010). Ecological and Psychological Value of Urban Green Space. In Mike Jenks & Colin Jones (Eds.), Dimensions of the Sustainable City (pp. 215–237). Dordrecht: Springer Netherlands.
   Google Scholar
• Kalantar, S. V., Saifoddin, A. A., Hajinezhad, A., & Ahmadi, M. H. (2021). A solution to prevent a blackout crisis: Determining the behavioral potential and capacity of solar power. International Journal of Photoenergy, 2021, 1–22. doi:10.1155/2021/2092842
   Google Scholar
• Kang, J. E., Yoon, D., & Bae, H.-J. (2019). Evaluating the effect of compact urban form on air quality in Korea. Environment and Planning B: Urban Analytics and City Science, 46(1), 179–200. doi:10.1177/2399808317705880
   Google Scholar
• Karuppannan, S., & Sivam, A. (2011). Social sustainability and neighbourhood design: An investigation of residents’ satisfaction in Delhi. Local Environment, 16(9), 849–870. doi:10.1080/13549839.2011.607159
   Web of Science ®Google Scholar
• Ko, W. H., Kent, M. G., Schiavon, S., Levitt, B., & Betti, G. (2022). A window view quality assessment framework. Leukos, 18(3), 268–293. doi:10.1080/15502724.2021.1965889
   Web of Science ®Google Scholar
• López-Cabeza, V. P., Diz-Mellado, E., Rivera-Gómez, C., Galán-Marín, C., & Samuelson, H. W. (2022). Thermal comfort modelling and empirical validation of predicted air temperature in hot-summer Mediterranean courtyards. Journal of Building Performance Simulation, 15(1), 39–61. doi:10.1080/19401493.2021.2001571
   Web of Science ®Google Scholar
• Martino, N., Girling, C., & Lu, Y. (2021). Urban form and livability: Socioeconomic and built environment indicators. Buildings and Cities, 2(1), 220–243.
   Google Scholar
• Mirsadeghi, P.. (2016). Tehran and the Lost Nature. In Fatemeh Farnaz Arefian & Seyed Hossein Iradj Moeini (Eds.), Urban Change in Iran: Stories of Rooted Histories and Ever-accelerating Developments (pp. 137–150). Cham: Springer International Publishing.
   Google Scholar
• Mouratidis, K. (2018). Built environment and social well-being: How does urban form affect social life and personal relationships? Cities, 74, 7–20. doi:10.1016/j.cities.2017.10.020
   Web of Science ®Google Scholar
• Mukkavaara, J., & Sandberg, M. (2020). Architectural design exploration using generative design: Framework development and case study of a residential block. Buildings, 10(11), 201. doi:10.3390/buildings10110201
   Web of Science ®Google Scholar
• Natanian, J., Aleksandrowicz, O., & Auer, T. (2019). A parametric approach to optimizing urban form, energy balance and environmental quality: The case of Mediterranean districts. Applied Energy, 254, 113637. doi:10.1016/j.apenergy.2019.113637
   Web of Science ®Google Scholar
• Norouzian-Maleki, S., Bell, S., Hosseini, S.-B., & Faizi, M. (2015). Developing and testing a framework for the assessment of neighbourhood liveability in two contrasting countries: Iran and Estonia. Ecological Indicators, 48, 263–271. doi:10.1016/j.ecolind.2014.07.033
   Web of Science ®Google Scholar
• Peronato, G., Kämpf, J. H., Rey, E., & Andersen, M. (2017). Integrating urban energy simulation in a parametric environment: A grasshopper interface for CitySim.
   Google Scholar
• Rafizadeh, H., Alaghmandan, M., Tabasi, S. F., & Banihashemi, S. (2022). Aerodynamic behavior of supertall buildings with three-fold rotational symmetric plan shapes: A case study. Wind and Structures, 34(5), 407–419.
   Web of Science ®Google Scholar
• Ramyar, R., Ramyar, A., Kialashaki, Y., Bryant, M., & Ramyar, H. (2019). Exploring reconfiguration scenarios of high-density urban neighborhoods on urban temperature–The case of Tehran (Iran). Urban Forestry & Urban Greening, 44, 126398. doi:10.1016/j.ufug.2019.126398
   Web of Science ®Google Scholar
• Ravari, F. K., Hassan, A. S., Nasir, M. H. A., & Taheri, M. M. (2022). The development of residential spatial configuration for visual privacy in Iranian dwellings, a space syntax approach. International Journal of Building Pathology and Adaptation.
   Web of Science ®Google Scholar
• Regulations, O. o. N. B. (2017). Issue 6 of Iran national building regulations (General building requirements). Tehran: Development of Iran.
   Google Scholar
• Ridder, H.-G. (2017). The theory contribution of case study research designs. Business Research, 10, 281–305. doi:10.1007/s40685-017-0045-z
   Google Scholar
• Salomons, E. M., & Pont, M. B. (2012). Urban traffic noise and the relation to urban density, form, and traffic elasticity. Landscape and Urban Planning, 108(1), 2–16. doi:10.1016/j.landurbplan.2012.06.017
   Web of Science ®Google Scholar
• Sedaghat, A., & Sharif, M. (2022). Mitigation of the impacts of heat islands on energy consumption in buildings: A case study of the city of Tehran. Iran. Sustainable Cities and Society, 76, 103435. doi:10.1016/j.scs.2021.103435
   Web of Science ®Google Scholar
• Shahril, N. A. S. A., Musa, S. M. S., Zainal, R., Noh, H. M., & Kassim, N. (2021). The impact of green space in residential yard. Research in Management of Technology and Business, 2(2), 494–508.
   Google Scholar
• Shi, Z., Fonseca, J. A., & Schlueter, A. (2017). A review of simulation-based urban form generation and optimization for energy-driven urban design. Building and Environment, 121, 119–129. doi:10.1016/j.buildenv.2017.05.006
   Web of Science ®Google Scholar
• Shipman, J., Wilson, J. D., Higgins, C. A., & Lou, B. (2020). An introduction to physical science. Cengage Learning.
   Google Scholar
• Soliman, A., Mackay, A., Schmidt, A., Allan, B., & Wang, S. (2018). Quantifying the geographic distribution of building coverage across the US for urban sustainability studies. Computers, Environment and Urban Systems, 71, 199–208. doi:10.1016/j.compenvurbsys.2018.05.010
   Web of Science ®Google Scholar
• Stals, A., Elsen, C., & Jancart, S. (2022). Integration of parametric modeling tools in small architectural offices–between constraints and organizational strategies. Architectural Engineering and Design Management, 18(5), 759–773.
   Web of Science ®Google Scholar
• Ta, N., Li, H., Zhu, Q., & Wu, J. (2021). Contributions of the quantity and quality of neighborhood green space to residential satisfaction in suburban Shanghai. Urban Forestry & Urban Greening, 64, 127293. doi:10.1016/j.ufug.2021.127293
   Web of Science ®Google Scholar
• Tabadkani, A., Aghasizadeh, S., Banihashemi, S., & Hajirasouli, A. (2022). Courtyard design impact on indoor thermal comfort and utility costs for residential households: Comparative analysis and deep-learning predictive model. Frontiers of Architectural Research, 11(5), 963–980.
   Web of Science ®Google Scholar
• Tong, S., Wong, N. H., Jusuf, S. K., Tan, C. L., Wong, H. F., Ignatius, M., & Tan, E. (2018). Study on correlation between air temperature and urban morphology parameters in built environment in northern China. Building and Environment, 127, 239–249. doi:10.1016/j.buildenv.2017.11.013
   Google Scholar
• Vermeulen, T., Knopf-Lenoir, C., Villon, P., & Beckers, B. (2015). Urban layout optimization framework to maximize direct solar irradiation. Computers, Environment and Urban Systems, 51, 1–12. doi:10.1016/j.compenvurbsys.2015.01.001
   Web of Science ®Google Scholar
• Waibel, C., Evins, R., & Carmeliet, J. (2019). Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials. Applied Energy, 242, 1661–1682. doi:10.1016/j.apenergy.2019.03.177
   Web of Science ®Google Scholar
• Wilson, L., Danforth, J., Davila, C. C., & Harvey, D. (2019). How to generate a thousand master plans: A framework for computational urban design. Proceedings of the Symposium on Simulation for Architecture and Urban Design (SimAUD), Atlanta,Georgia.
   Google Scholar
• Xu, X., Liu, Y., Wang, W., Xu, N., Liu, K., & Yu, G. (2019). Urban layout optimization based on genetic algorithm for microclimate performance in the cold region of China. Applied Sciences, 9(22), 4747. doi:10.3390/app9224747
   Google Scholar
• Yin, R. K. (2017). Case study research: Design and methods . Washington DC: Sage.
   Google Scholar
• Zawidzki, M., & Szklarski, J. (2020). Multi-objective optimization of the floor plan of a single story family house considering position and orientation. Advances in Engineering Software, 141, 102766. doi:10.1016/j.advengsoft.2019.102766
   Web of Science ®Google Scholar
• Zhang, J., Liu, N., & Wang, S. (2021). Generative design and performance optimization of residential buildings based on parametric algorithm. Energy and Buildings, 244, 111033. doi:10.1016/j.enbuild.2021.111033
   Web of Science ®Google Scholar
• Zhang, L., Zhang, L., & Wang, Y. (2016). Shape optimization of free-form buildings based on solar radiation gain and space efficiency using a multi-objective genetic algorithm in the severe cold zones of China. Solar Energy, 132, 38–50. doi:10.1016/j.solener.2016.02.053
   Web of Science ®Google Scholar
• Zuo, Z., Xie, Y., & Huang, X. (2009). Combining genetic algorithms with BESO for topology optimization. Structural and Multidisciplinary Optimization, 38, 511–523.
   Web of Science ®Google Scholar