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

2018 ◽  
Vol 10 (11) ◽  
pp. 3917 ◽  
Author(s):  
K Rahman ◽  
Dunfu Zhang
Keyword(s):  
Green Space ◽  
Public Spaces ◽  
Google Earth ◽  
High Density ◽  
Green Spaces ◽  
Vulnerable Groups ◽  
Geographical Data ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Socially Vulnerable Groups

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.

scholarly journals Practical Functioning of a Sustainable Urban Complex with a Park—The Case Study of Stavros Niarchos Foundation Cultural Center in Athens

2021 ◽  
Vol 13 (9) ◽  
pp. 5071
Author(s):  
Beata Makowska
Keyword(s):  
Urban Space ◽  
Public Spaces ◽  
Green Spaces ◽  
Cultural Center ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Urban Complex

Intensive urban development has created a shortage of urban green areas. The need to economically plan and use urban green spaces has fueled the redefinition of public spaces and parks so as to provide the residents with both recreation and relaxation facilities, as well as a forum for contact with culture. This paper discusses the case of the Stavros Niarchos Foundation Cultural Center (SNFCC) in the Kallithea district on the outskirts of Athens, near the Mediterranean Sea. It fills a gap in the research on the aspects of the practical functioning of such facilities. The methodology used in the research included an analysis of the literature, the SNFCC’s reports, and an in situ survey. The cultural center hosts a number of events aimed at promoting Greece’s natural and cultural heritage. The paper includes a detailed analysis of the events organized by the SNFCC in the period 2017–2020 and their immense impact on residents. The aim of the study is to show that the creation of the SNFCC with the park areas has functioned as a factor contributing to the improvement of the quality of urban space and the quality of life of the city’s inhabitants. The paper’s conclusions indicate that the sustainable SNFCC project, which fulfils the urban ecology criteria, has been very well received by the visitors—citizens and tourists alike. A program-centered innovation introduced by the SN Park has added great value to their lives. The project contributes to economic and cultural growth, as well as the protection and promotion of heritage.

Noise perception assessment in urban green spaces using soundwalk approach

2021 ◽  
Vol 263 (1) ◽  
pp. 5780-5791
Author(s):  
Omid Samani ◽  
Verena Zapf ◽  
M. Ercan Altinsoy
Keyword(s):  
Green Space ◽  
Traffic Noise ◽  
Urban Green Space ◽  
Green Spaces ◽  
Noise Emission ◽  
Visual Effect ◽  
Technical Noise ◽  
Urban Green ◽  
Urban Green Spaces ◽  
The City

Urban green spaces are intended to provide citizens with calm environments free of annoying city noises. This requires a thorough understanding of noise emission and related exposure to sounds in green spaces. This research investigates noise perception in various spots in an urban green space. For this purpose, the study has been conducted in the grand garden of the city of Dresden. The garden covers 1.8 square kilometers of various landscapes, including water streams, park railways, fountains, bridges, roads for bicycles and pedestrians etc. Noise perception was investigated at eleven spots with emphasis on four noise types: nature noise, human noise, traffic noise, and technical noise. In parallel, audio-visual recordings were conducted for each spot to identify the connection between the perceptual measures and the psychoacoustic parameters. These spots are categorized based on the resulting perception and psychoacoustic parameters. In addition, the visual effect of each spot on final perception is investigated. Eventually, annoyance for each spot is identified based on the corresponding participants' perception and is associated with the relevant psychoacoustic parameters.

scholarly journals Assessing the Coverage of Urban Green Space in Butwal Sub-Metropolitan City, Nepal: A GIS based Approach

2018 ◽  
Vol 15 ◽  
pp. 77-86
Author(s):  
Mahendra Singh Thapa ◽  
Gokul Poudel
Keyword(s):  
Green Space ◽  
Urban Environments ◽  
Green Spaces ◽  
Landsat 8 ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Metropolitan City ◽  
Object Oriented Approach ◽  
Materialistic Values ◽  
Urban Places

Urban green spaces are integral part of urban infrastructure. Green spaces can offer a number of benefits ranging from inner spiritual to outer materialistic values. Available green spaces in particular area especially in urban places need to be identified and located properly with scientific way and means so that we can use those places in emergency caused by natural or human induced hazards. This study has tried to measure the green space available for people dwelling in Butwal Sub-Metropolitan City of Nepal. An attempt was made to quantify green spaces in urban environments from Landsat 8 OLI imageries using object-oriented approach and field verification. The study concluded that the total green space available in Butwal Sub-Metropolitan City is 86.37 km2 i.e., around 86% of total municipal area and per capita green space is around 623 m2.

scholarly journals Social Cohesion and City Green Space: Revisiting the Power of Volunteering

Challenges ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 36
Author(s):  
Jennings
Keyword(s):  
Social Interactions ◽  
Social Cohesion ◽  
Green Space ◽  
Potential Role ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Immense Potential

Urban green spaces can facilitate positive social interactions in numerous ways. These interactions may lead to the development of social cohesion among city dwellers. This article provides a viewpoint on the potential role that the presence of green space and volunteering can play in the construct of social cohesion. Specifically, the article focuses on one aspect of social cohesion, volunteerism, as a way to illustrate the immense potential of social cohesion to link health with place and the planet.

scholarly journals Assessing Impacts of Urban Form on Landscape Structure of Urban Green Spaces in China Using Landsat Images Based on Google Earth Engine

2018 ◽  
Vol 10 (10) ◽  
pp. 1569 ◽  
Author(s):  
Conghong Huang ◽  
Jun Yang ◽  
Peng Jiang
Keyword(s):  
Land Cover ◽  
Landscape Structure ◽  
Urban Form ◽  
Google Earth ◽  
Green Spaces ◽  
Road Density ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Google Earth Engine ◽  
Land Cover Maps

The structure of urban green spaces (UGS) plays an important role in determining the ecosystem services that they support. Knowledge of factors shaping landscape structure of UGS is imperative for planning and management of UGS. In this study, we assessed the influence of urban form on the structure of UGS in 262 cities in China based on remote sensing data. We produced land cover maps for 262 cities in 2015 using 6673 scenes of Landsat ETM+/OLI images based on the Google Earth Engine platform. We analyzed the impact of urban form on landscape structure of UGS in these cities using boosted regression tree analysis with the landscape and urban form metrics derived from the land cover maps as response and prediction variables, respectively. The results showed that the three urban form metrics—perimeter area ratio, road density, and compound terrain complexity index—were all significantly correlated with selected landscape metrics of UGS. Cities with high road density had less UGS area and the UGS in those cities was more fragmented. Cities with complex built-up boundaries tended to have more fragmented UGS. Cities with high terrain complexity had more UGS but the UGS were more fragmented. Our results for the first time revealed the importance of urban form on shaping landscape structure of UGS in 262 cities at a national scale.

How are characteristics of urban green space related to levels of physical activity: Examining the links

2016 ◽  
Vol 26 (8) ◽  
pp. 1091-1101 ◽  
Author(s):  
Abdullah Akpinar ◽  
Murat Cankurt
Keyword(s):  
Physical Activity ◽  
General Population ◽  
Household Income ◽  
Green Space ◽  
Green Spaces ◽  
Physically Active ◽  
Urban Green ◽  
Urban Green Spaces ◽  
The City ◽  
Exercise Equipment

This study investigates the associations between characteristics of urban green spaces and frequency and duration of self-reported physical activity in the city of Aydın, Turkey. Data were collected through a survey with 420 participants. We analysed the associations between characteristics of urban green spaces and frequency and duration of general population’ physical activity and physical activity of physically active people with multivariate linear regression while controlling for sex, age, marital status, education level, occupation and household income level. Results showed that for the general population, short distance to urban green spaces, many trees, exercise equipment and picnic areas were positively associated with frequency of physical activity, while barbecue and fire places negatively associated with duration of physical activity. For physically active people, many trees, soccer and basketball fields were positively associated with their frequency of physical activity, but water features were negatively correlated with frequency of physical activity. In regard to duration of physical activity for physically active people, findings showed lawn and exercise equipment were positively correlated with duration of physical activity, while water features, barbecue and fire places were negatively correlated with duration of physical activity. The findings indicate that levels of physical activity in urban green spaces could be promoted with many trees, exercise equipment, picnic areas and lawn. However, causal relationship needs to be conducted with intervention or longitudinal studies.

scholarly journals Rapid Mapping and Annual Dynamic Evaluation of Quality of Urban Green Spaces on Google Earth Engine

2021 ◽  
Vol 10 (10) ◽  
pp. 670
Author(s):  
Qiang Chen ◽  
Cuiping Zhong ◽  
Changfeng Jing ◽  
Yuanyuan Li ◽  
Beilei Cao ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Urban Area ◽  
Google Earth ◽  
Green Spaces ◽  
Dynamic Evaluation ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Rapid Mapping ◽  
Google Earth Engine

In order to achieve the United Nations 2030 Sustainable Development Goals (SDGs) related to green spaces, monitoring dynamic urban green spaces (UGSs) in cities around the world is crucial. Continuous dynamic UGS mapping is challenged by large computation, time consumption, and energy consumption requirements. Therefore, a fast and automated workflow is needed to produce a high-precision UGS map. In this study, we proposed an automatic workflow to produce up-to-date UGS maps using Otsu’s algorithm, a Random Forest (RF) classifier, and the migrating training samples method in the Google Earth Engine (GEE) platform. We took the central urban area of Beijing, China, as the study area to validate this method, and we rapidly obtained an annual UGS map of the central urban area of Beijing from 2016 to 2020. The accuracy assessment results showed that the average overall accuracy (OA) and kappa coefficient (KC) were 96.47% and 94.25%, respectively. Additionally, we used six indicators to measure quality and temporal changes in the UGS spatial distribution between 2016 and 2020. In particular, we evaluated the quality of UGS using the urban greenness index (UGI) and Shannon’s diversity index (SHDI) at the pixel level. The experimental results indicate the following: (1) The UGSs in the center of Beijing increased by 48.62 km2 from 2016 to 2020, and the increase was mainly focused in Chaoyang, Fengtai, and Shijingshan Districts. (2) The average proportion of relatively high and above levels (UGI > 0.5) in six districts increased by 2.71% in the study area from 2016 to 2020, and this proportion peaked at 36.04% in 2018. However, our result revealed that the increase was non-linear during this assessment period. (3) Although there was no significant increase or decrease in SHDI values in the study area, the distribution of the SHDI displayed a noticeable fluctuation in the northwest, southwest, and northeast regions of the study area between 2016 and 2020. Furthermore, we discussed and analyzed the influence of population on the spatial distribution of UGSs. We found that three of the five cold spots were located in the east and southeast of Haidian District. Therefore, the proposed workflow could provide rapid mapping and dynamic evaluation of the quality of UGS.

scholarly journals Challenges of Urban Green Space and Its Accessibility in Planning District-12, Mysuru City

2021 ◽  
Vol 10 (1) ◽  
pp. 137-141
Author(s):  
Yashaswini S* ◽  
Shankar B
Keyword(s):  
Land Use ◽  
Green Space ◽  
City Planning ◽  
Urban Green Space ◽  
Green Spaces ◽  
Planning System ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Wide Range ◽  
The City

Improving the Accessibility of Urban Green Space (UGS) is an integral part of city planning system. People with better access to green space enjoy a wide range of health benefits. Therefore, it is a crucial element to be taken care and nourished in a land use framework. Mysore City is one of the planned large cities in India. The City had a population of about 0.9 million in 2011 and it is estimated to cross the million mark by 2021. There is a growing consciousness on health and wellbeing among the people resulting an increasing demand for urban green spaces both at neighbourhood and city levels. The accessibility helps in promoting usage of UGS and maintaining the balance in environment within the city areas. The main aim of this paper is to study the existing scenario of the UGS within the planning district-12 and to analyse the green space accessibility. The land use of Mysuru city is analysed to understand the city and the micro level land use analysis of Planning district-12 is made. The existing scenario of the UGS within the study area and its accessibility is analysed using different accessibility indicators. Considering the key findings, issues and challenges are identified. Later the suggestions and recommendations for the identified issues is proposed to enhance the green spaces quality and accessibility at neighbourhood levels. The Accessible Natural Green space Standard (ANGst) type of accessibility analysis has been carried to know UGS functionality. Henceforth urban green space network at Planning District levels (local levels) in the City of Mysuru is prepared as a model which can be implemented to the city as whole at the later stages

scholarly journals Residents’ Spatial Image Perception of Urban Green Space through Cognitive Mapping: The Case of Beijing, China

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1614
Author(s):  
Yilei Hou ◽  
Yibing Qu ◽  
Zheng Zhao ◽  
Jinyu Shen ◽  
Yali Wen
Keyword(s):  
Green Space ◽  
Cognitive Maps ◽  
Multinomial Logit Model ◽  
Urban Green Space ◽  
Cognitive Map ◽  
Green Spaces ◽  
Image Perception ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Spatial Image

The fundamental purpose of future urban development is to meet residents’ yearning for a better city life with the rapid development of urbanization. This study uses a multinomial logit model and cognitive map to evaluate residents’ spatial image perception of urban green space. A field study and data collection were conducted from July to August 2019, using the typical urban green space area in Beijing as the research object. Based on 375 valid questionnaires and 139 cognitive maps, the study analyzed and evaluated the image characteristics and differences of residents to the urban green space under different conditions. The results show the following. First, there is a close relationship between residents’ preference and the characteristics of urban green spaces, especially the working and living environment and characteristics will have a great influence on it. Second, the cognitive map drawn by Beijing residents can be divided into sequential and spatial cognitive maps, and the image perception shows diversified characteristics. However, the perception is relatively superficial overall, and most are simple line maps. Besides, according to the analysis of the elements of the cognitive map, the advantages and disadvantages of each type of urban green space are closely related to their geographical location and internal structure. This study has two key findings. First, the construction of urban green spaces in various cities should be carried out according to local conditions, considering the scientific basis and reasonableness of urban green space in terms of structural setting. Second, the multinomial logit model and cognitive map can effectively quantify the subjective evaluation of respondents’ spatial perceptions in a relatively simple manner, which can be further expanded in the application system design of the method.

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