《An evaluation of urban green space in Shanghai, China, using eye tracking》
打印
- 作者
- Jie Li;Zhonghao Zhang;FuaJun Gao;Jianyu Ma;Guofan Shao;Scott Noel
- 来源
- URBAN FORESTRY & URBAN GREENING,Vol.56,Issue1,Article 126903
- 语言
- 英文
- 关键字
- Eye tracking;Green appearance percentage;Landscape evaluation;Shanghai;Urban green space
- 作者单位
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, China;School of Tourism, Shanghai Normal University, Shanghai, China;Department of Forestry and Natural Resources, Purdue University, West Lafayette, USA;Sustainability Research Centre, University of Sunshine Coast, Sunshine Coast, Australia;School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, China;School of Tourism, Shanghai Normal University, Shanghai, China;Department of Forestry and Natural Resources, Purdue University, West Lafayette, USA;Sustainability Research Centre, University of Sunshine Coast, Sunshine Coast, Australia
- 摘要
- The utilization of urban green space (UGS) in a city contributes to people’s mental and physical health. Information on the perceptions and attitudes of people from landscape evaluation and preference studies serves as an important scientific basis for the planning and management of UGS. This study used eye tracking and an online questionnaire to investigate the association between the proportions of different landscape elements and people’s evaluation of UGS attractiveness. Experiments were conducted by using photographs taken in Shanghai with varying green appearance percentages (GPs) and different types of landscape elements (trees, water, artificial hardscapes, etc.). The results showed that the influence of GP on landscape attractiveness was greater when its level was below 45 % than when above 48 %. Landscape elements, including trees, pedestrians and visually dominant elements (overpasses, sign boards, seats and other elements that may attract an observer’s attention), affected participants’ evaluations. People who paid more attention to trees and pedestrians than visually dominant elements were more likely to give a higher evaluation. The reflection of greenery on a water surface enhanced residents’ perception to GP. Hardscape divided the attraction of the vegetation and lowered the evaluation of the landscape. This study demonstrates a meaningful attempt to use eye tracking in combination with online questionnaires for urban green space. The confined data sources are useful to reveal human’s perception of landscapes, and a clearer understanding of residents’ preference to landscape elements can be obtained in the decision making of UGS planning and management.