E3S Web Conf.
Volume 143, 20202nd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2019)
|Number of page(s)||9|
|Section||Architectural Engineering and Urban Construction|
|Published online||24 January 2020|
Survey of urban greenway satisfaction based on a fuzzy comprehensive evaluation
1 School of Ecology Technology and Engineering, 201418 Shanghai Institute of Technology, Shanghai China
2 Shanghai Minhang District Green Garden Management Office, 201101, Shanghai China
* Corresponding author: Kun He, Male, Doctor, Associate Professor, E-mail: firstname.lastname@example.org
Greenways are an important component of the ecological network of urban green spaces and contribute to ensuring a complete and continuous ecosystem. Once a city’s greenways have been built, their future success relies heavily on visitors’ intuitive feelings and satisfaction. Therefore, it is necessary to evaluate visitor satisfaction with greenways. Using Greenway No. 1 in Shanghai’s Minhang District as an example, we in this article constructed an index system to evaluate visitor satisfaction with the greenway based on a fuzzy comprehensive evaluation method. The visitors’ demographic and behavioral characteristics and their comprehensive reviews of Greenway No. 1 were analyzed. The results showed that the gender ratio among visitors to Greenway No. 1 was relatively balanced. Most visitors were retired and elderly, and most were from nearby areas. The visitors used the greenway frequently, and the travel time for most was less than ten minutes. The overall visitor satisfaction with the greenway reached the “satisfied” level, and most indices reached the basic level of satisfaction. However, certain basic service facilities were found to be inadequate. The results provide suggestions and references for the construction of greenways in Shanghai and surrounding provinces and cities.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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