کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6921959 864890 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Volunteered geographic information, urban forests, & environmental justice
ترجمه فارسی عنوان
اطلاعات جغرافیایی داوطلبانه، جنگل های شهری، و عدالت زیست محیطی
کلمات کلیدی
اطلاعات جغرافیایی داوطلب، جنگل های شهری، تقسیم دیجیتال، عدالت اجتماعی، مدل های خطی عمود بر وزن جغرافیایی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Volunteered Geographic Information (VGI) and urban forests have recently become topics of increasing interest in the social sciences. While social and environmental justice concerns have been applied to each of these topics individually, this paper addresses VGI, urban forests, and social justice simultaneously. VGI has often been hailed as an empowering and democratic new form of citizen science that allows data collection tasks to be distributed to a large group of people; however, concerns have emerged about whose geographies will be volunteered, and for what purpose. This research addresses these concerns, with an understanding that VGI has the potential to strengthen, rather than dissolve the digital divide. This is accomplished by determining the completeness of coverage of user-generated urban forest mapping on the interactive website PhillyTreeMap (http://www.phillytreemap.org/) by comparing it with high resolution remotely sensed canopy coverage data. These coverage levels are then regressed against Census demographic data at the block group level to determine if there are inequities in the coverage of this urban forest VGI project based upon socioeconomic status. Results indicate that sociodemographic variables influence the likelihood of increased coverage of the VGI urban forest data, presenting equity concerns surrounding the coverage of this VGI urban forest data. The presence of these social and environmental justice concerns indicates the need for expanded research into this new frontier of geographic data. Geographically weighted general linear models show non-stationarity in the relationships between VGI coverage and sociodemographic predictors, demonstrating the importance of incorporating local models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers, Environment and Urban Systems - Volume 53, September 2015, Pages 65-75
نویسندگان
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