Tree Species Selection in Street Planting: It's relationship with issues in urban area

被引:2
|
作者
Hasan, Ramly [1 ]
Othman, Noriah [2 ]
Ismail, Faridah [2 ]
机构
[1] Univ Teknol MARA, Fac Architecture Planning & Surveying, Post Grad Studies, Shah Alam 40450, Selangor, Malaysia
[2] Univ Teknol MARA, Fac Architecture Planning & Surveying, Shah Alam 40450, Selangor, Malaysia
来源
关键词
Urban tree; tree species selection; local council; public perspectives; KUALA-LUMPUR;
D O I
10.21834/e-bpj.v2i6.951
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Trees in urban areas are an invaluable resource. Careful consideration and attention should be given to tree species selection. "Right tree at the right place" is the key to get the benefits offered by the tree. Objectives have been formulated as follows (i) to investigate the selection of tree species at selected local councils (ii) to analyse the issues related to the selection of the tree species looking at the public perspectives. A mixed method approach was undertaken in the data collection. Future considerations of the tree species as street planting based on the findings can reduce problems thus increase the quality of urban life.
引用
收藏
页码:185 / 194
页数:10
相关论文
共 50 条
  • [41] Biodiversity on urban roundabouts - Hemiptera, management and the species-area relationship
    Helden, AJ
    Leather, SR
    BASIC AND APPLIED ECOLOGY, 2004, 5 (04) : 367 - 377
  • [42] "The right tree for the right street canyons: An approach of tree species selection for mitigating air pollution"(vol 245, 110886, 2023)
    Guo, Yayun
    Xiao, Qiankun
    Ling, Chen
    Teng, Mingjun
    Wang, Pengcheng
    Xiao, Zhiyan
    Wu, Changguang
    BUILDING AND ENVIRONMENT, 2024, 258
  • [43] Methodological and ethical issues in research with street children: an urban and regional planner’s perspectives
    Ogunkan D.V.
    Quality & Quantity, 2022, 56 (3) : 1139 - 1158
  • [44] Competition and area selection in Scotland's new urban policy
    Turok, I
    Hopkins, N
    URBAN STUDIES, 1998, 35 (11) : 2021 - 2061
  • [45] An automatic approach for tree species detection and profile estimation of urban street trees using deep learning and Google street view images
    Choi, Kwanghun
    Lim, Wontaek
    Chang, Byungwoo
    Jeong, Jinah
    Kim, Inyoo
    Park, Chan-Ryul
    Ko, Dongwook W.
    ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 190 : 165 - 180
  • [46] An automatic approach for tree species detection and profile estimation of urban street trees using deep learning and Google street view images
    Choi, Kwanghun
    Lim, Wontaek
    Chang, Byungwoo
    Jeong, Jinah
    Kim, Inyoo
    Park, Chan-Ryul
    Ko, Dongwook W.
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 190 : 165 - 180
  • [47] Allometric equations for estimating the aboveground volume of five common urban street tree species in Daegu, Korea
    Yoon, Tae Kyung
    Park, Chan-Woo
    Lee, Sun Jeoung
    Ko, Suin
    Kim, Kyung Nam
    Son, Yeongmo
    Lee, Kyung Hak
    Oh, Suhyun
    Lee, Woo-Kyun
    Son, Yowhan
    URBAN FORESTRY & URBAN GREENING, 2013, 12 (03) : 344 - 349
  • [48] Effects of heat and drought stress on the health status of six urban street tree species in Leipzig, Germany
    Haase, Dagmar
    Hellwig, Rebecca
    TREES FORESTS AND PEOPLE, 2022, 8
  • [49] Effects of street orientation and tree species thermal comfort within urban canyons in a hot, dry climate
    Narimani, Niloufar
    Karimi, Alireza
    Brown, Robert D.
    ECOLOGICAL INFORMATICS, 2022, 69
  • [50] Urban tree species classification using multisource satellite remote sensing data and street view imagery
    Wang, Shufan
    Liu, Chun
    Wei, Shanshan
    Tang, Hao
    GEO-SPATIAL INFORMATION SCIENCE, 2025, 28 (01) : 164 - 184