Road ecological landscape construction is an important part of creating an ecological garden city, and it is also an indispensable link in urban garden landscape planning. Taking a national forest park in a certain area as the research object, using the analytic hierarchy process, taking into account the ecological and landscape benefits, we selected 6 parameters: carbon sequestration, dust retention, humidification, plant aesthetic benefits, plant ornamental benefits, and roadside landscape integration. The main indicators construct the forest park landscape resource quality evaluation system. The results show that the comprehensive evaluation score of the national forest park landscape resource quality in this area is 82.36 points, which is in line with the first-level standard in the evaluation system, indicating that the quality of the scenic resources in the park is high and it has unique tourism development value, which can scientifically and reasonably develop forest ecology tourism. In addition, the evaluation system proposed in this article can objectively reflect the value of the park’s ecological whirlpool and the basic conditions for carrying out ecotourism according to the key index factors that affect the quality of scenic resources and provide a scientific and reliable reference for the high-quality development of forest parks.
At present, the research on the visual characteristics of greenway landscape is mostly focused on the evaluation of beauty degree, landscape preference, and recreation preference and mainly on the overall macroscopic evaluation of a single greenway or typical spatial research in some areas, while less attention is paid to the overall characteristics of urban greenway landscape and the differences in visual characteristics of different types of greenway landscape. The emergence of new data and new technologies such as street view, Baidu map, and deep learning provides the possibility to study the visual characteristics of greenway landscapes in large scale and full sample. The study of greenway landscape based on large deep learning can effectively refine the overall pattern of visual characteristics of greenway landscape and reveal the differences of visual characteristics of different types of greenways and their key factors, so as to provide support for the planning and design of greenway landscape and landscape appearance enhancement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.