Green Resources for Safety Improvement and Sustainable Landscape Design: The Case of a Dangerous Tehran-Dizin Road Bend
Mahsa Habibi,
Elnaz Chitsazzadeh and
Amir Mosavi
Additional contact information
Mahsa Habibi: Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran 1983969411, Iran
Elnaz Chitsazzadeh: Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran 1983969411, Iran
Amir Mosavi: John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary
Resources, 2022, vol. 11, issue 2, 1-17
Abstract:
Improving road safety is not only reliant on engineering aspects but also on the surrounding landscape, which plays an indispensable role in drivers’ visual perception. As a part of road landscapes, green areas affect road safety by screening or framing views. While vistas could be highlighted in safe spots in order for road users to enjoy their travel, in dangerous scenic points, visual attractions need to be concealed to lessen visual distractions and the risk of accidents. This study aims at optimizing road safety through sustainable landscape design in one of the dangerous Tehran–Dizin road bends to meet both road safety and environmental requirements. In doing so, cone of vision formulas have been applied to calculate measures of green landscape features so as to hide visual distractions and upgrade safety. To design such a green landscape, green resources and their characteristics have been elaborated, and native species have been suggested in plant composition, which can improve the sense of place, enhance the environment, and create a sustainable landscape. The research shows that a cone of vision could functionally be employed to increase the success of a designed green landscape, especially in situations where two-dimensional approaches are not sufficient.
Keywords: landscape; visual perception; road design; safety; landscape urban planning; resources; road safety; mobility; transportation; road accidents (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2079-9276/11/2/19/pdf (application/pdf)
https://www.mdpi.com/2079-9276/11/2/19/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jresou:v:11:y:2022:i:2:p:19-:d:745029
Access Statistics for this article
Resources is currently edited by Ms. Donchian Ma
More articles in Resources from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().