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Study on the Relationship Between 3D Landscape Patterns and Residents’ Comfort in Urban Multi-Unit High-Rise Residential Areas: A Case Study of High-Density Inland City

Author

Listed:
  • Yaoyun Zhang

    (School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Ge Shi

    (School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Ziying Feng

    (School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Entao Zheng

    (Zhejiang Shuzhi Space Planning and Design Co., Ltd., Hangzhou 310030, China)

  • Chuang Chen

    (Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Xinyu Li

    (School of Civil Engineering, Nanjing Tech University, Nanjing 211816, China)

  • Difan Yu

    (School of Civil Engineering, Nanjing Tech University, Nanjing 211816, China)

  • Yunpeng Zhang

    (School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

Abstract

As urbanization accelerates, the increasing density of urban buildings and the prevalence of multi-unit high-rise residential areas have emerged as significant factors affecting residents’ comfort. Effective green space planning within residential areas can mitigate residents’ thermal discomfort. This study utilizes methods including the construction of two-dimensional and three-dimensional landscape indices and meteorological data simulation to examine the relationship between residents’ comfort levels at various heights in residential buildings and the 3D landscape patterns of residential areas, based on semantic three-dimensional grid data from a residential complex in Wuhan. The results indicate that (1) The characteristics of 3D landscape patterns vary across different regions within multi-unit high-rise residential areas. The landscape patches in the central and southern regions are more balanced compared to other areas, while there is minimal height variation in residential buildings in the northeastern region. (2) There are notable differences in comfort levels at varying heights across different areas of the residential district. In summer, residents expressing satisfaction with environmental comfort are primarily located in high-rise buildings in the central-southern region, whereas in winter, satisfaction is concentrated among residents in lower and mid-rise buildings in both the northern center and southern areas. (3) The degree of landscape fragmentation, the dominance of certain patches, and the distribution of buildings and vegetation at different heights significantly influence residents’ comfort. Achieving a balanced distribution of green spaces, reducing building density, and ensuring a uniform arrangement of trees of varied heights can effectively enhance the living environment for residents on lower floors, providing practical strategies for the planning of green spaces and built environments that improve overall resident quality of life. This research provides a theoretical foundation and reference for evaluating thermal comfort in high-rise residential areas and optimizing green space configurations.

Suggested Citation

  • Yaoyun Zhang & Ge Shi & Ziying Feng & Entao Zheng & Chuang Chen & Xinyu Li & Difan Yu & Yunpeng Zhang, 2025. "Study on the Relationship Between 3D Landscape Patterns and Residents’ Comfort in Urban Multi-Unit High-Rise Residential Areas: A Case Study of High-Density Inland City," Sustainability, MDPI, vol. 17(10), pages 1-32, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4347-:d:1653459
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    References listed on IDEAS

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    1. Lili Zhang & Dong Wei & Yuyao Hou & Junfei Du & Zu’an Liu & Guomin Zhang & Long Shi, 2020. "Outdoor Thermal Comfort of Urban Park—A Case Study," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    2. Hyomun Lee & Kyungwoo Lee & Eunho Kang & Dongsu Kim & Myunghwan Oh & Jongho Yoon, 2023. "Evaluation of Heated Window System to Enhance Indoor Thermal Comfort and Reduce Heating Demands Based on Simulation Analysis in South Korea," Energies, MDPI, vol. 16(3), pages 1-22, February.
    3. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    4. Mehmet Cetin & Mehtap Ozenen Kavlak & Muzeyyen Anil Senyel Kurkcuoglu & Gulsah Bilge Ozturk & Saye Nihan Cabuk & Alper Cabuk, 2024. "Determination of land surface temperature and urban heat island effects with remote sensing capabilities: the case of Kayseri, Türkiye," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(6), pages 5509-5536, April.
    5. Ge Shi & Yutong Wang & Jingran Zhang & Jinghai Xu & Yu Chen & Wei Chen & Jiahang Liu, 2024. "Spatiotemporal Pattern Analysis and Prediction of Carbon Storage Based on Land Use and Cover Change: A Case Study of Jiangsu Coastal Cities in China," Land, MDPI, vol. 13(11), pages 1-22, October.
    6. Contesse, Maria & van Vliet, Bas J.M. & Lenhart, Jennifer, 2018. "Is urban agriculture urban green space? A comparison of policy arrangements for urban green space and urban agriculture in Santiago de Chile," Land Use Policy, Elsevier, vol. 71(C), pages 566-577.
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    1. Haowen Yan & Bo Zhao & Yaxing Du & Jiajia Hua, 2025. "Drone-Based 3D Thermal Mapping of Urban Buildings for Climate-Responsive Planning," Sustainability, MDPI, vol. 17(12), pages 1-20, June.

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