Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework

Cities ◽  
2021 ◽  
pp. 103484
Author(s):  
Bingxi Liu ◽  
Yu Tian ◽  
Meng Guo ◽  
Ducthien Tran ◽  
Abdulfattah Ahmed Qasem Alwah ◽  
...  
Keyword(s):  
Green Space ◽  
Supply And Demand ◽  
Evaluation Framework ◽  
Spatial Equity ◽  
Equity Evaluation

scholarly journals Equity to Urban Parks for Elderly Residents: Perspectives of Balance between Supply and Demand

2020 ◽  
Vol 17 (22) ◽  
pp. 8506
Author(s):  
Meng Guo ◽  
Bingxi Liu ◽  
Yu Tian ◽  
Dawei Xu
Keyword(s):  
Public Transportation ◽  
Spatial Configuration ◽  
Supply And Demand ◽  
Urban Parks ◽  
The Elderly ◽  
Urban Park ◽  
Spatial Equity ◽  
Equity Evaluation ◽  
Main City

As population ages, ensuring that the elderly get their due rights has become a common concern of scholars in many fields. However, as an important public service facility in daily life of elderly, the research on the equity of urban parks is mostly based on the evaluation of accessibility. The equity of the elderly's access to urban parks services has been rarely discussed from the perspective of supply and demand balance. In the context of the concept of spatial equity, we used urban parks in the main city of Harbin as a case study, the actual travel mode of the elderly was considered in the evaluation, adopted an Integrated Spatial Equity Evaluation (ISEE) framework, quantitative evaluation of the equity of different levels of urban park under multiple traffic modes. In this study, the results showed that under the three modes of travel, the degree of spatial equity was higher for non-motorized trips than for the other two modes. In terms of urban parks hierarchy, the spatial equity of urban parks at district level were much higher than those at the neighborhood level and street level. The inequity between supply and demand for urban park for elderly people was significant and varies between administrative districts. The empirical evidence in this research may provide references and suggestions for urban parks planning and decision-making. In cities where the scale of land use is basically stable, such as Harbin, we can start from the spatial configuration of park green space system and public transportation system to improve the efficiency of urban parks provision. Thereby promoting the construction and development of an “old age-friendly” society.

scholarly journals EQUITY EVALUATION OF URBAN PARK SYSTEM: A CASE STUDY OF XIAMEN, CHINA

2020 ◽  
Vol 28 (3) ◽  
pp. 125-136
Author(s):  
Tao Luo ◽  
Fengmei Yang ◽  
Lianglong Wu ◽  
Xihong Gao
Keyword(s):  
Supply And Demand ◽  
Spatial Relationship ◽  
Service Level ◽  
Urban Park ◽  
System A ◽  
Public Resource ◽  
Park Service ◽  
Leisure And Recreation ◽  
Equity Evaluation ◽  
The City

Urban parks play a distinctive and important role in satisfying residents’ demands on leisure and recreation, and thus have become the focus of research in the field of urban planning and sustainable development. This paper used equity as indicator to combine both the supply and demand sides of urban park service. Taking Xiamen as the study case, the relationship between spatial distribution of population and park services was analyzed. The results show that while population density has a significant spatial relationship with urban park service level at the city scale, Xiamen has the problem of neglecting the equity of urban park service between people and regions within the city. The proposed approach builds up the linkage between urban park service and urban population in order to evaluate the performance of urban park. Although the mechanism remains to be discussed, this study provides a useful auxiliary tool for constructing a guideline for urban green space planning, since urban park is increasingly seen as a kind of restricted public resource and ensuring its equity should be an important task for city mangers.

Spatial equity of park green space using KD2SFCA and web map API: A case study of zhengzhou, China

2020 ◽  
Vol 123 ◽  
pp. 102310 ◽  
Author(s):  
Zhicheng Zheng ◽  
Wei Shen ◽  
Yang Li ◽  
Yaochen Qin ◽  
Lu Wang
Keyword(s):  
Green Space ◽  
Web Map ◽  
Spatial Equity

scholarly journals Measurement of spatial equity : a case study of nursing institution

2019 ◽  
Author(s):  
Xin Sui ◽  
◽  
Yifan Yu ◽  
Liu Huhui ◽  
◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Autocorrelation ◽  
Supply And Demand ◽  
The Elderly ◽  
Spatial Dimension ◽  
Spatial Equity ◽  
Public Resources ◽  
Local Moran ◽  
The Impact

Equity and justice have always been important norms in the field of urban planning. With the gradual deepening of understanding of residential environment, the research context of equity and justice related to location is becoming more and more sophisticated. Recently, varieties of subjects Including Public Health and Geography focus on the inequity of public resources in spatial distribution and how to measure the degree of this gap. In general, the mainstream measurement methods can be summarized into two categories: (1) The description of phenomenon caused by the spatial inequities, and accessibility is a typical method of this type. (2) the direct quantification of inequity, such as Gink Coefficient which is originated from the economics field and introduced into the measurement of health equity, and Getis-Ord General G, together with Moran’ index is the most commonly method used into the general spatial autocorrelation. In this paper, based on the overall literature review of the concept of equity in the study using these methods and a summary of their specific context of the measurement using, nursing institution in Shanghai, China are regarded as a typical case to practice these methods and compare the differences in using. Meantime, the impact of the politics and planning related to this special facility is also been considered. Results show that, accessibility of nursing institution among elderly groups is much different under different research distance, and the overall trend seems like the research units in suburb appears higher accessibility than those in highly urbanized area. And Gink Coefficient helps us determine the proportion of the elderly population in different reachable areas in Shanghai is within a reasonable range. However, Global Moran’ index provide reliable evidence that the existence of the aggregation combined by the high-value units. It indicates that there are inequities among the distribution of aged-nursing resources, and Local Moran I （LISA）help us to find the specific boundaries of these areas. In general, in the study of the equity related to location, accessibility can only reflect the differences phenomenon in distribution, but it is not clear to describe this gap to what extent, and it’s difficult to achieve the possibility of comparison among different periods and different subjects. The Gini coefficient often focuses on the unfairness of the distribution of people, but ignored the aggregation characteristics of the spatial dimension, which the analysis of spatial autocorrelation can make up. All these methods proved that it’s necessary to consider both the spatial distribution of supply and demand. And the discussion about equity related to location should be strictly qualified in study.

scholarly journals Measures of Spatial and Demographic Disparities in Access to Urban Green Space in Harbin, China

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Qian Xie ◽  
Ming Lu
Keyword(s):  
Urban Areas ◽  
Green Space ◽  
Distribution Patterns ◽  
Urban Green Space ◽  
Spatial Accessibility ◽  
Walking Distance ◽  
Urban Green ◽  
Bivariate Correlation ◽  
Spatial Equity ◽  
The City

Access to urban green space (UGS) is associated with the enhancement of health and disparities in access generate issues of spatial equity and socioenvironmental justice. The aim of this study is to measure spatial accessibility and investigate access disparities to UGSs in urban areas of Harbin, China. A Gaussian-based two-step floating catchment area method and spatial autocorrelation analysis were used to measure the accessibility and evaluate its distribution patterns in residential tracts. Bivariate correlation was employed to examine the statistical relations between demographic characteristics of residential tracts and green space access. The results show that most residential tracts have minimal green space access within walking distance, while a few have limited access within cycling distance. Additionally, spatial disparities were found with low-accessibility tracts clustering in the center of the city, while high-accessibility tracts were located in northern and southern suburbs. Demographic disparities were also identified in the study: females have less access to UGS than males, areas with a high birth rate generally have more access, and population density is negatively associated with UGS access. The findings not only indicate that Harbin has an uneven distribution and disproportionate provision of UGS for urban residents but also identify which areas and population groups within the city are disadvantaged in access to UGS and thus provide suggestions for future construction and provision of UGS.

scholarly journals Evaluation of Deep Learning-Based Automatic Floor Plan Analysis Technology: An AHP-Based Assessment

2021 ◽  
Vol 11 (11) ◽  
pp. 4727
Author(s):  
Hyunjung Kim
Keyword(s):  
Deep Learning ◽  
Spatial Information ◽  
Learning Algorithm ◽  
Supply And Demand ◽  
Evaluation Framework ◽  
Automatic Extraction ◽  
Floor Plan ◽  
Deep Learning Algorithm ◽  
Plan Analysis ◽  
Floor Plans

This study proposes a technology that allows automatic extraction of vectorized indoor spatial information from raster images of floor plans. Automatic reconstruction of indoor spaces from floor plans is based on a deep learning algorithm, which trains on scanned floor plan images and extracts critical indoor elements such as room structures, junctions, walls, and openings. The newly developed technology proposed herein can handle complicated floor plans which could not be automatically extracted by previous studies because of its complexity and difficulty in being trained in deep learning. Such complicated reconstruction solely from a floor plan image can be digitized and vectorized either through manual drawing or with the help of newly developed deep learning-based automatic extraction. This study proposes an evaluation framework for assessing this newly developed technology against manual digitization. Using the analytical hierarchy process, the hierarchical aspects of technology value and their relative importance are systematically quantified. The analysis suggested that the automatic technology using a deep learning algorithm had predominant criteria followed by, substitutability, completeness, and supply and demand. In this study, the technology value of automatic floor plan analysis compared with that of traditional manual edits is compared systemically and assessed qualitatively, which had not been done in existing studies. Consequently, this study determines the effectiveness and usefulness of automatic floor plan analysis as a reasonable technology for acquiring indoor spatial information.

scholarly journals Optimizing Spatial Distribution of Urban Green Spaces by Balancing Supply and Demand for Ecosystem Services

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yi-Wen Ji ◽  
Lang Zhang ◽  
Jie Liu ◽  
Qicheng Zhong ◽  
Xinxin Zhang
Keyword(s):  
Decision Support ◽  
Ecosystem Services ◽  
Carrying Capacity ◽  
Green Space ◽  
Supply And Demand ◽  
Green Spaces ◽  
Air Purification ◽  
Explicit Model ◽  
High Demand ◽  
Ecological Flows

The capacity and ecological flows of ecosystem services as well as the demand for them are key areas of urban and rural ecological planning that have been studied using the spatial-explicit model as a decision support tool. This study develops a framework for mapping the relationships among the capacity of and demand for ecosystem services, ecological flows, and planning management. This is done by estimating the ecosystem services based on the space for recreation and environmental conditions and assessing planning for green spaces using the spatial-explicit model. The results show that the carrying capacity of green recreational space was high in the northwest, southwest, and southeast parts of the city of Hefei in China, where this space was highly sustainable in the northwest and southwest. The data also show that the carrying capacity for air purification was higher in the northwest, southwest, and southeast suburbs of Hefei, while areas with high demand for air purification were mainly located in the northeast. The spatial variation in the flows of supply and demand for ecosystem services remained high and unbalanced in the northeast and southwest of Hefei. The excessive use of ecosystem services was concentrated in the urban center while their use in suburban areas was sustainable. The results show that the gap between the supply and demand of space for recreation increased with distance while that between the supply and demand of air purification decreased with increasing distance. The results of assessment based on spatial visualization show that green space was abundant in areas with low demand for it, while those with high demand for it tended to have limited green space in Hefei. This analysis shows that indices for the demand for green spaces in the context of ecosystem services can be improved via public participation, interactions between different scales of ecosystem services for green space, and use of decision support in urban and rural planning systems. These areas will form important directions for future research.

scholarly journals Recreational Services from Green Space in Beijing: Where Supply and Demand Meet?

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1625
Author(s):  
Tianyu Chen ◽  
Yu Zhao ◽  
He Yang ◽  
Guangyu Wang ◽  
Feng Mi
Keyword(s):  
Green Space ◽  
Supply And Demand ◽  
Well Being ◽  
Geographical Information ◽  
Entropy Model ◽  
Gis Tools ◽  
Source Data ◽  
Recreational Services ◽  
Ecological Landscape ◽  
Restoration And Protection

Green space, mainly forests, shrubs, and grasslands, provides essential ecosystem services for human well-being. Based on multi-source data and using the Maximum Entropy model and Geographical Information System (GIS) tools, this research comprehensively assesses the supply and demand of recreational services from green space in Beijing. The supply of recreational services in Beijing is influenced by natural and human factors, showing large spatial variability. The supply level of mountainous areas with good natural geographical conditions and intact ecological landscape is significantly higher than that of plain areas with reduced vegetation and overexploitation. Residents have a high demand for recreational services in green space landscape and low demand in non-green space landscape. The quantitative balance pattern of supply and demand varies greatly, and most areas show the state of undersupply. The spatial matching pattern of supply and demand varies significantly too, and the mismatch is apparent. Spatial allocation should be more carefully considered than the aggregated supply and demand. Differentiated development strategies such as ecological reshaping, ecological development, restoration, and protection should be implemented for different areas in the future of planning and management in urban green areas. This will optimize and balance the supply-demand matching pattern for recreational services and promote the effective improvement of ecosystem service functions and residents’ ecological welfare.

Sign in / Sign up

Export Citation Format

Share Document