Optimal road design using genetic algorithm to improve biodiversity and risk of soil loss-Reference-Cited by-同舟云学术

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Optimal road design using genetic algorithm to improve biodiversity and risk of soil loss

Published:2022-07-06 Issue:27 Volume:37 Page:14811-14827
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Kim Shin-woo¹²^ORCID,Piao Zhenggang³⁴,Lee Dong-Kun¹³⁴

Affiliation:

1. Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul, Korea

2. Research Fellow, The Incheon Institute, Incheon, South Korea

3. College of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea

4. Integrated Major in Smart City Global Convergence Program, Seoul National University, Seoul, South Korea

Funder

Korea Environment Industry & Technology Institute

Knowledge-based environmental service Program funded by Ministry of Environment

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2091159

Reference84 articles.

1. AL-Hadad BMA, Mawdesley M. 2010. A genetic algorithm approach to a 3D highway alignment development. Proceedings of International Conference on Evolutionary Computation – ICEC, Valencia, Spain; p. 129–136. https://doi.org/10.5220/0003060201290136

2. Exploring land use/land cover change by using density analysis method in yenice

3. Green infrastructure development at European Union's eastern border: Effects of road infrastructure and forest habitat loss

4. Transport investment and the promotion of economic growth

5. Quantification of the non-transport benefits resulting from rail investment

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