Analysis of urban form typology using urban heat island indicators: Case study of Ferdous neighborhood of Tabriz

被引:2
|
作者
Abdi, Zanyar [1 ]
Alizadeh, Hooshmand [2 ,3 ]
Mohammadi, Saleh [4 ]
Sabouri, Saber [1 ]
机构
[1] Univ Tabriz, Fac Civil Engn, Dept Urban Design, Tabriz, Iran
[2] Univ Kurdistan, Fac Art & Architecture, Dept Urban Planning & Design, Sanandaj, Iran
[3] Austrian Acad Sci, Inst Urban & Reg Res, Vienna, Austria
[4] Saxion Univ Appl Sci, Chair Sustainable Bldg Technol, Sch Business Bldg & Technol, Enschede, Netherlands
来源
FRONTIERS IN ECOLOGY AND EVOLUTION | 2023年 / 10卷
关键词
Grasshopper; Rhinoceros; Tabriz; urban heat island; urban weather generator; form typologies; BEHAVIOR; GROWTH; VALLEY; IMPACT; TRAVEL; CITY;
D O I
10.3389/fevo.2022.1065538
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Urbanization, with the acceleration of construction operations in cities, is the main reason for in-creasing the absorption of thermal energy in urban areas, which leads to climate change, especially urban form has responded differently depending on environmental dimension of urban context concerning the urban heat island intensity. In the last Studies, Researchers have not Codified the effect of urban form on heat islands in the form of a comprehensive model. It is necessary to examine each urban context according to its own conditions. Accordingly, this study aims to identify the effect of building form variability on reducing the intensity of heat islands in Ferdous context of Tabriz in the form of comprehensive modelling as a new task. The research gap is the effect of the form of buildings on the intensity of UHI, and the question will be asked whether it is possible to control the intensity of UHI by changing the form by influencing the climatic indicators. Our conceptual framework was based on urban form typologies in microscale affect the amount of energy intake and consumption, especially the intensity of heat islands, and whether the use of desirable types can be responsive to reducing the intensity of these islands? In this regard, using a quantitative analysis method in Rhinoceros software, especially using Grasshopper plugins, urban form is investigated. This analysis includes both the coldest and hottest days of the year. The results show that the optimal model is the cross typology.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Modelling urban form: A multidimensional typology of urban occupation for spatial analysis
    Abrantes, Patricia
    Rocha, Jorge
    da Costa, Eduarda Marques
    Gomes, Eduardo
    Morgado, Paulo
    Costa, Nuno
    ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2019, 46 (01) : 47 - 65
  • [22] Examining temporally varying nonlinear effects of urban form on urban heat island using explainable machine learning: A case of Seoul
    Bansal, Parth
    Quan, Steven Jige
    BUILDING AND ENVIRONMENT, 2024, 247
  • [23] Exploring the Associations Between Urban Form and Neighborhood Vibrancy: A Case Study of Chengdu, China
    Lu, Shiwei
    Huang, Yaping
    Shi, Chaoyang
    Yang, Xiping
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (04)
  • [24] Urban Heat Island in Mediterranean Coastal Cities: The Case of Bari (Italy)
    Martinelli, Alessandra
    Kolokotsa, Dionysia-Denia
    Fiorito, Francesco
    CLIMATE, 2020, 8 (06)
  • [25] Data-driven analysis of Urban Heat Island phenomenon based on street typology
    Acosta, Monica Pena
    Vahdatikhaki, Faridaddin
    Santos, Jao
    Jarro, Sandra Patricia
    Doree, Andries G.
    SUSTAINABLE CITIES AND SOCIETY, 2024, 101
  • [26] Predicting urban Heat Island in European cities: A comparative study of GRU, DNN, and ANN models using urban morphological variables
    Tehrani, Alireza Attarhay
    Veisi, Omid
    Kia, Kambiz
    Delavar, Yasin
    Bahrami, Sasan
    Sobhaninia, Saeideh
    Mehan, Asma
    URBAN CLIMATE, 2024, 56
  • [27] Machine Learning in Urban Tree Canopy Mapping: A Columbia, SC Case Study for Urban Heat Island Analysis
    Morgan, Grayson R.
    Fulham, Alexander
    Farmer, T. Grant
    GEOGRAPHIES, 2023, 3 (02): : 359 - 374
  • [28] Urban heat island monitoring and analysis using a non-parametric model: A case study of Indianapolis
    Rajasekar, Umamaheshwaran
    Weng, Qihao
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2009, 64 (01) : 86 - 96
  • [29] A GIRS-based analysis of urban green space losses with land-use changes and its relationship with surface urban heat island in the city of Tabriz
    Aghazadeh, Firouz
    Mashayekh, Hojjatollah
    Akbari, Mahsa Asadzadeh
    Boroukanlou, Shahram
    Habibzadeh, Nader
    Ghasemi, Mohammad
    Goswami, Ajanta
    ADVANCES IN SPACE RESEARCH, 2025, 75 (02) : 1804 - 1824
  • [30] An Urban Form Experiment on Urban Heat Island Effect in High Density Area
    Hu, Youpei
    White, Marcus
    Ding, Wowo
    FOURTH INTERNATIONAL CONFERENCE ON COUNTERMEASURES TO URBAN HEAT ISLAND, (UHI 2016), 2016, 169 : 166 - 174