Literature DB >> 31637611

Plant selection for roadside design: "the view of landscape architects".

Nilgun Guneroglu1, Makbulenur Bekar2, Elif Kaya Sahin2.   

Abstract

Losses in urban green spaces due to population increase and urbanization became one of the most important problems in contemporary cities. Efforts to increase green zones require the establishment of parks and extension of planting activities in urban areas. The planting work conducted on streets, roads, avenues, and traffic islands is significant in the development of urban green spaces. Determination of the plant species that would be used in planting work and assessment of these species by experts and authorities based on scientific approaches are significant for the success of these efforts. In the present study, the issue of plant selection criteria for roadside planting was investigated with a hybrid decision-making approach based on landscape architects' perspectives. To solve the plant selection problem of decision-makers and to obtain reliable quantitative data, a set of criteria that included 5 main and 41 sub-variables was determined. Pairwise comparison technique was used by experts for evaluation of the involved criteria. The study findings revealed that the "structural criteria" were the most effective main factor in plant selection for roadside planting, followed by the "economic and ecological" criteria. Furthermore, it was determined that the growth length and diameter of the plants (10.2%), selection of indigenous species that reflect the urban identity (7.30%), and the climatic requirements of the plants (7.20%) were the sub-criteria that should be considered in selection of the plants. In conclusion, it was determined that quantitative assessment of plant selection decisions would help planting design decisions on roadside planting.

Keywords:  ANP; DEMATEL; Decision-making; Landscaping; Roadside plants

Year:  2019        PMID: 31637611     DOI: 10.1007/s11356-019-06562-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  9 in total

1.  Roadside vegetation barrier designs to mitigate near-road air pollution impacts.

Authors:  Zheming Tong; Richard W Baldauf; Vlad Isakov; Parikshit Deshmukh; K Max Zhang
Journal:  Sci Total Environ       Date:  2015-10-09       Impact factor: 7.963

2.  Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila.

Authors:  Ming-Lang Tseng
Journal:  Environ Monit Assess       Date:  2008-08-01       Impact factor: 2.513

Review 3.  Multi-criteria decision analysis in environmental sciences: ten years of applications and trends.

Authors:  Ivy B Huang; Jeffrey Keisler; Igor Linkov
Journal:  Sci Total Environ       Date:  2011-07-18       Impact factor: 7.963

4.  Using Native Plants as Problem-Solvers

Authors: 
Journal:  Environ Manage       Date:  1996-11       Impact factor: 3.266

5.  Roadside Vegetation Design to Improve Local, Near-Road Air Quality.

Authors:  Richard Baldauf
Journal:  Transp Res D Transp Environ       Date:  2017-05-04       Impact factor: 5.495

6.  Landscaping of highway medians and roadway safety at unsignalized intersections.

Authors:  Hongyun Chen; Aldo Fabregas; Pei-Sung Lin
Journal:  Accid Anal Prev       Date:  2016-02-27

7.  Tree and forest effects on air quality and human health in the United States.

Authors:  David J Nowak; Satoshi Hirabayashi; Allison Bodine; Eric Greenfield
Journal:  Environ Pollut       Date:  2014-07-10       Impact factor: 8.071

8.  Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran.

Authors:  Ali Azizi; Bahram Malekmohammadi; Hamid Reza Jafari; Hossein Nasiri; Vahid Amini Parsa
Journal:  Environ Monit Assess       Date:  2014-08-06       Impact factor: 2.513

9.  Fine-particulate air pollution and life expectancy in the United States.

Authors:  C Arden Pope; Majid Ezzati; Douglas W Dockery
Journal:  N Engl J Med       Date:  2009-01-22       Impact factor: 91.245

  9 in total

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