Next Article in Journal
Sleep Duration and Sleep Quality as Predictors of Health in Elderly Individuals
Next Article in Special Issue
Future Development of Taiwan’s Smart Cities from an Information Security Perspective
Previous Article in Journal
Comparison of Regular Atmospheric Storage versus Modified Atmospheric Packaging on Postharvest Quality of Organically Grown Lowbush and Half-Highbush Blueberries
Previous Article in Special Issue
Sustainable Tourism: A Hidden Theory of the Cinematic Image? A Theoretical and Visual Analysis of the Way of St. James
Open AccessArticle

Analyzing the Level of Accessibility of Public Urban Green Spaces to Different Socially Vulnerable Groups of People

School of Sociology and Political Science, Shanghai University, 99, Shangda Road, Shanghai 200444, China
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(11), 3917; https://doi.org/10.3390/su10113917
Received: 26 August 2018 / Revised: 24 October 2018 / Accepted: 25 October 2018 / Published: 28 October 2018
This study estimates the factors affecting socially vulnerable groups’ demand for and accessibility levels to green public spaces in Dhaka City, Bangladesh. Dhaka is a high-density city with one of the lowest levels of green space per capita in the world. Dhaka has just 8.5% of tree-covered lands, while an ideal city requires at least 20% of green space. Urban public green space provides a healthy environment to city dwellers as well as ecological soundness. This study aims to examine the effects of population density and size of a community area (Thana) on the social demand for and accessibility to green parks. To determine the socially vulnerable group demand index, this study used demographic data from the National Population and Housing Census 2011 conducted by the Bangladesh Bureau of Statistics. This study used geographical data extracted from Google Earth Pro to measure accessibility levels, and additionally analyzed geographical data with ArcGIS 10.0 and Google Earth Pro. We drew radius circles using Free Map Tools to measure time-distance weighted scores from community areas to urban green spaces. The results show that the large population size of socially vulnerable groups creates very high demand at the score of 0.61 for urban green public parks and small-sized, high-density community areas generate very good accessibility at 2.01% to green public spaces. These findings are highly useful to policymakers, urban planners, landscape engineers, and city governments to make a compact city sustainable, inclusive, and resilient. Moreover, the notion of a “smart city” might be a smart solution in order to manage Dhaka Megacity sustainably in this modern technological age. View Full-Text
Keywords: Accessibility; urban green space; social demand index; surface temperature; smart city; ecological wellbeing; population density; small-sized community; sustainable urban management; spatial equity; urban planning Accessibility; urban green space; social demand index; surface temperature; smart city; ecological wellbeing; population density; small-sized community; sustainable urban management; spatial equity; urban planning
Show Figures

Figure 1

MDPI and ACS Style

Rahman, K.M.A.; Zhang, D. Analyzing the Level of Accessibility of Public Urban Green Spaces to Different Socially Vulnerable Groups of People. Sustainability 2018, 10, 3917.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop