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Spatial disparities in neighborhood public tree coverage: Do modes of transportation matter?
Institution:1. National Institute for Agriculture and Food Research and Technology (INIA), Forest Research Centre (CIFOR), Ctra. de La Coruña km. 7.5, 28040 Madrid, Spain;2. Sustainable Forest Management Research Institute, University of Valladolid & INIA, Avda. de Madrid 57, 34004 Palencia, Spain;3. Technical University of Madrid (UPM), Department of Forestry Economics and Management, Madrid, Spain;4. Institute for Public Goods and Policies (IPP), Spanish National Research Council (CSIC), C/Albasanz 26-28, 28037 Madrid, Spain;1. Centre for Environmental Economics and Policy, School of Agricultural and Resource Economics, University of Western Australia, Crawley, WA 6009, Australia;2. CCCEP, University of Leeds, Leeds, L52 9JT, UK;3. CSIRO Land and Water, PMB2, Glen Osmond, SA 5064, Australia;1. Department of Agricultural and Resource Economics, University of Maryland at College Park, College Park, MD 20742, United States;2. Department of Resource Economics and Environmental Sociology, University of Alberta, Edmonton, Alberta T6G 2H1, Canada
Abstract:Urban green space has various environmental and ecological benefits, and uneven access to such amenities has drawn substantial attention from policy makers in developing sustainable community planning. In this study, we illustrate the spatial distribution of publicly owned and maintained trees in Edmonton, Canada and assess neighborhoods’ heterogeneous tree availability by using the container approach. Through spatial regression models, we further investigate the association of neighborhood public tree availability with socio-economic status (SES). We contribute to the existing literature by taking resident modes of transportation into consideration, in addition to many other commonly examined SES such as household income and ethnicity. Another unique contribution of this study is that we distinguish trees planted on different location types (i.e., boulevard, park, and buffer areas) when exploring the unequal coverage across neighborhoods and among different SES groups. Key results include: (1) a general examination without differentiating location types can lead to misleading results and thus provide inappropriate policy recommendations; (2) resident modes of transportation is a critical factor associated with a neighborhood’s public tree coverage; and (3) there exists evident spatial dependence on public tree availability between neighborhoods. The results from this study provide important information to better understand the issue and to allocate public resource (such as tree coverage) more efficiently and effectively to support sustainable community development.
Keywords:Resident modes of transportation  Public tree coverage  Spatial regression model  Edmonton  Sustainable community development
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