Exploring the impacts of spatial morphology of underground shopping mall atriums on natural lighting performance

References

• Albatayneh A., Atieh H., Jaradat M., Al-Omary M., Zaquot M., Juaidi A., Abdallah R., Manzano-Agugliaro F. (2021). The impact of modern artificial lighting on the optimum window-to-wall ratio of residential buildings in Jordan. Applied Sciences, 11(13), 5888.
   Google Scholar
• Berardi, U., & Wang, T. (2014). Daylighting in an atrium-type high performance house. Building and Environment, 76, 92–104. https://doi.org/10.1016/j.buildenv.2014.02.008
   Web of Science ®Google Scholar
• Bi, X. L., & Liu, B. T. (2013). Urban revitalization by integrating underground space into city space: Urban design for commercial district of Xiguan Cross in Lanzhou. Applied Mechanics & Materials, 409–410, 813–817. https://doi.org/10.4028/www.scientific.net/AMM.409-410.813
   Google Scholar
• Brembilla, E., Drosou, N., & Mardaljevic, J. (2022). Assessing daylight performance in use: A comparison between long-term daylight measurements and simulations. Energy and Buildings, 262, 111989. https://doi.org/10.1016/j.enbuild.2022.111989
   Web of Science ®Google Scholar
• Calcagni, B., & Paroncini, M. (2004). Daylight factor prediction in atria building designs. Solar Energy, 76(6), 669–682.
   Web of Science ®Google Scholar
• Chen, J. J., & Zhou, X. J. (2005). Elementary discussion on environmental design of underground shopping streets. Chinese Journal of Underground Space and Engineering, 1(1), 5. https://doi.org/10.3969/j.issn.1673-0836.2005.01.011
   Google Scholar
• Dong, L., He, Y., Qi, Q., & Wang, W. (2022). Optimization of daylight in atrium in underground commercial spaces: A case study in Chongqing, China. Energy & Buildings, 256, 111739.
   Web of Science ®Google Scholar
• Guo, B. L. (2014). Discussion and analysis on designing of underground commercial street. Chinese Journal of Underground Space and Engineering (S1), https://CNKI:SUN:BASE.0.2014-S1-018, Classification Code: TU922, 1571-1574
   Google Scholar
• Ho, J. C. K., Ng, E., & Chan, P. W. (2015). Predicting the hourly Hong Kong representative sky from typical meteorological year data for dynamic daylighting simulation. Lighting Research & Technology, 47(6), 730–739.
   Web of Science ®Google Scholar
• Larson, G. W. (2020). Rayfront-The Lighting Design Toolkit, Architectural Lighting Simulation Software. Radiance is the simulation engine used in the Rayfront lighting design toolkit. See http://www.schorsch.com/en/software/rayfront/ © 2004-2020 schorsch.com
   Google Scholar
• Littlefair, P. (2002). Daylight prediction in atrium buildings. Solar Energy, 73(2), 105–109. https://doi.org/10.1016/S0038-092X(02)00038-5
   Web of Science ®Google Scholar
• Lv, D., Wei, Q., Wang, C., Liu, Y., & Su, B. (2023). The influence of spatial cognitive model based on eye tracking on wayfinding behavior in underground parking lots. Journal of Intelligent Computing and Mathematics (ISSN Online: 2771-9952), 1(1), 42–53.
   Google Scholar
• Ma, X. (2009). Negative psychological factors arising from environmental design in underground space of big cities: A case study of Nanjing Urban Underground Commercial Pedestrian Street Urban Planning Forum (Vol. 5, pp. 90–95).
   Google Scholar
• Mangkuto, R. A., Rohmah, M., & Asri, A. D. (2016). Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics. Applied Energy, 164, 211–219. https://doi.org/10.1016/j.apenergy.2015.11.04
   Web of Science ®Google Scholar
• Ministry of Construction of the People's Republic of China. (2013). GB 50034-2013, Standard for lighting design of buildings, National Standard of the People’s Republic of China, Jointly issued by the Ministry of Housing and Urban-Rural Development (MOHURD) and the General Administration of Quality Supervision, Inspection and Quarantine (AQSIQ) of the People's Republic of China, available at http://lancarver.com/UpFiles/pdf/2014-08-11/081112492125.pdf
   Google Scholar
• Mohsenin, M., & Hu, J. (2015). Assessing daylight performance in atrium buildings by using climate based daylight modeling. Solar Energy, https://doi.org/10.1016/j.solener.2015.05.011
   Google Scholar
• Mohsenin, M., & Hu, J. (2017). Daylight prediction in individual floors using well index. Architecture Civil Engineering Environment, 10(2), 109–114. https://doi.org/10.21307/acee-2017-024
   Google Scholar
• Nabil, A., & Mardaljevic, J. (2006). Useful daylight illuminances: A replacement for daylight factors. Energy and Buildings, 38(7), 905–913.
   Web of Science ®Google Scholar
• Nováková, P., & Vajkay, F. (2019). Factors influencing the value of daylight factor. MATEC Web Of Conferences, 279(7), 54–59. https://doi.org/10.1051/matecconf/201927903009
   Google Scholar
• Rucińska, J., & Trząski, A. J. E. (2020). Measurements and simulation study of daylight availability and its impact on the heating, cooling and lighting energy demand in an educational building. Energies, 13(10), 2555.
   Web of Science ®Google Scholar
• Saraiji, R., Al Safadi, M. Y., Al Ghaithi, N., & Mistrick, R. G. (2015). A comparison of scale-model photometry and computer simulation in day-lit spaces using a normalized daylight performance index. Energy and Buildings, 89, 76–86.
   Web of Science ®Google Scholar
• Sudan, M., Mistrick, R. G., & Tiwari, G. (2017). Climate-Based Daylight Modeling (CBDM) for an atrium: An experimentally validated novel daylight performance. Solar Energy, 158, 559–571.
   Web of Science ®Google Scholar
• Sun, L., Fang, T., Sun, Y., Wang, B., & Shao, Z. (2022). Research on the correlation between component elements and psychological perception of the spatial form of underground commercial street corners based on virtual reality technology. Frontiers in Psychology, 13, 950593.
   PubMed Web of Science ®Google Scholar
• Tan, J., Liu, W., & Wang, M. (2014). Light environment research in the patio of college teaching building-tiangong building in Hubei engineering college for example. Applied Mechanics and Materials ISSN: 1662-7482, 507, 115–118. © 2014 Trans Tech Publications, Switzerland, https://doi.org/10.4028/www.scientific.net/AMM.507.115
   Google Scholar
• Tong, L. J. (2005). The way of development of urban underground space in China. Chinese Journal of Underground Space and Engineering, 3(1), 27–32.
   Google Scholar
• Uzun, B., & Tekinerdogan, B. (2019). Architecture conformance analysis using model-based testing: A case study approach. Software: Practice and Experience, 49(3), 423–448. https://doi.org/10.1002/spe.2667
   Web of Science ®Google Scholar
• Yanhua, W., Zhilong, C., Bin, Z., & Kejia, W. J. (2011). Establishment of sense of direction and direction guiding in underground public architecture. Chinese Journal of Underground Space and Engineering, 7(4), 628–627.
   Google Scholar
• Yigit, S., & Ozorhon, B. J. E. (2018). A simulation-based optimization method for designing energy efficient buildings. Energy and Buildings, 178, 216–227. ISSN 0378-7788. https://doi.org/10.1016/j.enbuild.2018.08.045.
   Web of Science ®Google Scholar
• Ying, L., & Ji, W. J. L. (2011). Based on the Function Demand of Underground Mall Natural Lighting Research.
   Google Scholar
• Zhao, F. D., Chen, B. J., & Jiao, G. R. (2006). Sustainable design method for underground building——Underground building with natural ventilation. Chinese Journal of Underground Space and Engineering, 2(4), 532–538. https://doi.org/10.3969/j.issn.1673-0836.2006.04.003
   Google Scholar
• Zhi-Long, C. J. U. S. (2002). Investigation on Design of Atrium in Underground Construction, Underground Space.
   Google Scholar
• Zhou, B., Gui, Y., Xie, X., Li, W., & Li, Q. (2022). A multi-category intelligent method for the evaluation of visual comfort in underground space. Tunnelling and Underground Space Technology, 124, 104488.
   Web of Science ®Google Scholar