The effects of urban greenway environment on recreational activities in tropical high-density Singapore: A computer vision approach

《The effects of urban greenway environment on recreational activities in tropical high-density Singapore: A computer vision approach》

打印

作者: Ye Zhang;Guo Xiang Ong;Zhe Jin;Choon Meng Seah;Tat Seng Chua

来源: URBAN FORESTRY & URBAN GREENING,Vol.75,Issue1,Article 127678

语言: 英文

关键字

作者单位: Department of Architecture, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;Department of Architecture, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;The Martin Centre for Architecture, Department of Architecture, University of Cambridge, Cambridge CB2 1PX, UK;Michigan State University, Department of Horticulture, 1066 Bogue Street, East Lansing, MI 48824, USA;Michigan State University, Department of Geography, Environment, and Spatial Sciences, 673 Auditorium Road, East Lansing, MI 48824, USA;Michigan State University, Department of Forestry, 480 Wilson Road, East Lansing, MI 48824, USA;Environmental Geography Group, Institute for Environmental Studies, VU University, De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands;Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland;Edinburgh School of Architecture and Landscape Architecture, The University of Edinburgh, Edinburgh, UK;School of Design and Arts, Beijing Institute of Technology, Beijing, China;University of Hradec Králové, Faculty of Science, Rokitanského 62, CZ-500 03 Hradec Králové, Czech Republic;Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 1176, CZ-165 21, Czech Republic;UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa (UFP), Praça 9 de Abril 349, 4249-004 Porto, Portugal;Center for Functional Ecology - Science for People & the Planet (CFE), TERRA Associate Laboratory, Department of Life Sciences, Faculty of Sciences and Technology, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal;InBIO-Rede de Investigação em Biodiversidade e Biologia Evolutiva, CIBIO, Campus Agrário de Vairao, Universidade do Porto, 4485-661 Vairao, Portugal;Departamento de Geociências, Ambiente e Ordenamento do Território, Faculdade de Ciências, Universidade do Porto, rua do Campo Alegre 687, 4169-007 Porto, Portugal;NeuroLandscape Foundation, Suwalska 8/78, 03-252 Warsaw, Poland;Centre for Public Administration and Public Policies (CAPP), Institute of Social and Political Sciences (ISCSP), University of Lisboa, 1300-663 Lisboa, Portugal;Institute of Sociology of the University of Porto (ISUP), Faculty of Arts and Humanities of the University of Porto (FLUP), s / n, 4150-564 Porto, Portugal;Center for Transdisciplinary Research «Culture, Space and Memory» (CITCEM), Faculty of Arts and Humanities of the University of Porto (FLUP), Via Panorâmica Edgar Cardoso s/n, 4150-564 Porto, Portugal

摘要: The urban greenway has been increasingly recognised as an important type of green infrastructure especially for land-scarce, densely-populated cities to efficiently provide their residents with continuous public spaces close to nature for recreation. Nevertheless, empirical studies on urban greenways and their recreational use rarely focus on high-density environment. Moreover, most research endeavours in this field are also largely confined to the subtropical climate, whereas much of the world’s future urban growth is projected to occur in the form of high-density mega-cities in much of tropical South and Southeast Asia. In view of these gaps, this study proposes a new approach that employs Computer Vision tools to examine the effects of the greenway’s physical environment on recreational activities, taking tropical Singapore as the test bed. The semantic segmentation model, PSPNet and the action detection model, ACAM are adapted and applied in conjunction with geographical information system tools to measure the greenway’s physical environment and people’s recreational activity at the human scale, and analyse their relationships. The result reveals a pattern that sees the clustering of different types of recreational activities at different time periods. It also reveals the relationships between recreational activities and specific environmental features, which were observed to have influenced the overall spatial distributions of the recreational activities. The finding also corroborates the design strategies for Singapore’s future urban greenways and offers a reference for engaging community groups to participate in the maintenance of urban greenways.