Assessing the spatial distribution of sports spaces within walking distance in Tehran

Salarvandian, Fatemeh; Hosseini, Seyed Ali; Moradi, Aram; Karoubi, Mehdi

doi:10.1080/12265934.2019.1710552

Cited by 11 publications

(10 citation statements)

References 41 publications

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“…Many empirical studies have assessed the accessibility of various facilities for different demographic groups; some have looked simply for all facilities within a given radius ( Yuan et al., 2017 ; Ashik et al., 2020 ; Dawod et al., 2013 ; Salarvandian et al., 2020 ), while others have used network analysis methods supported by geographic information systems (GIS) ( Nicholls, 2001 ; Oh and Jeong, 2007 ; Salarvandian et al., 2020 ). The radius method can provide a simple estimation of travel distance because it assumes a straight-line transportation route from the point of departure to the facility ( Nicholls, 2001 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, this is rarely the case for actual travel since one must use whatever roads are available and various obstacles, such as rivers or railroad tracks, may make the route more circuitous. Differences in the distance can lead to significant increases in time, cost, and effort for people with limited means and mobility and for the most vulnerable population groups, such as people with disabilities, the elderly, and young children ( Ashik et al., 2020 ; Nicholls, 2001 ; Salarvandian et al., 2020 ). Often, the peripheral areas lack the number of and proper access to public service facilities, contrasting with the center of the city.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

The spatial justice of school distribution in Jakarta

Muhaimin¹,

Gamal²,

Setianto³

et al. 2022

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The spatial justice of school distribution in Jakarta

Muhaimin¹,

Gamal²,

Setianto³

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…In this paper, travel capacity refers to the maximum range of people's activities in a certain mode of transportation under the limitation of a certain standard (such as time), which represents the accessibility of the crowd to the target space. For example, the container approach or buffer analysis applies a specific walking distance as the maximum range of units [10,19,20] ，and targets outside the range are not included in the calculation results. However, there is no unified standard for the setting of people's walking ability or walking distance, 400m, 500m, 800m, 1000m or even more are adopted, which also makes people question the research.…”

Section: Estimation Of Travel Capacitymentioning

confidence: 99%

Equity Measurement of Public Sports Space in Central Urban Areas Accessible by Walking and Public Transportation Based on Residential Scale Data

Liu

Wang

Sun

et al. 2021

Preprint

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Background: Urban public sports space, including parks and sports facilities, has captured much public attention because of its close correlation with public health. However, few studies have assessed the equity of accessibility to various types of public sports space comprehensively with a fine scale. Methods: This study proposed a spatial equity measurement method based on multi-source urban data and GIS network analysis. Residential buildings were taken as the minimum research unit to investigate the equity differences of residents' enjoyment of urban public sports space accessible by walking and public transportation. Taking Harbin, China as an example, in the concepts of life circle, this study calculated and visualized the equity of more than 12, 000 residential buildings to a variety of public sports space in the central urban area. Results: The results showed that: 1) There was obvious inequity of sports space in the central city. The results under classification varied sharply, while the overall results moderated to a certain extent. 2) There were sharp differences between different types of sports space, and square space had the worst structure of equity. 3) The results of the two traffic modes were significantly correlated, and the correlation coefficient of the comprehensive results was the largest. In areas with poor walking equity, the results of the bus mode were generally not high either. Conclusion: This study integrated multi-source data into the traditional spatial computing models and provided an important reference for the equitable planning of urban public sports space. Attention should still be paid to the characteristics of the population in the planning intervention, such as the preference for public sports space and the limitation of choice caused by age difference. The closer the research is to the human scale, the more scientific the planning may be.

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“…In this paper, travel capacity refers to the maximum range of people’s activities in a certain mode of transportation under the limitation of a certain standard (such as time), which represents the accessibility of the crowd to the target space. For example, the container approach or buffer analysis applies a specific walking distance as the maximum range of units [ 11 , 20 , 21 ], and targets outside the range are not included in the calculation results. However, there is no unified standard for the setting of people’s walking ability or walking distance, 400 m, 500 m, 800 m, 1000 m or even more are adopted, which also makes people question the research.…”

Section: Introductionmentioning

confidence: 99%

Equity Measurement of Public Sports Space in Central Urban Areas Based on Residential Scale Data

Liu

Wang

Sun

et al. 2022

IJERPH

View full text Add to dashboard Cite

Urban public sports facilities have captured much public attention because of their close ties to public health. However, few studies have comprehensively assessed the equity of accessibility to various types of public sports space with a fine scale. This study proposed a spatial equity measurement method based on multi-source urban data and GIS network analysis. Residential buildings were taken as the minimum research unit to investigate the equity differences of residents’ enjoyment of urban public sports space accessible by walking and public transportation. Taking Harbin, China, as an example, this study calculated and visualized the proximity of more than 12,000 residential buildings to a variety of public sports space in the central urban area. The results showed that: (1) urban centers enjoy more public sports space resources than border areas, that is, the developed area has more advantages than the emerging area; (2) according to the classification of sports space, their spatial distribution pattern and measurement results are obviously different; (3) the areas with a low walking equity degree also had a low bus equity degree. This study integrated multi-source data into the traditional spatial computing models and provided an important reference for the equitable planning of urban public sports space.

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Assessing the spatial distribution of sports spaces within walking distance in Tehran

Cited by 11 publications

References 41 publications

The spatial justice of school distribution in Jakarta

The spatial justice of school distribution in Jakarta

Equity Measurement of Public Sports Space in Central Urban Areas Accessible by Walking and Public Transportation Based on Residential Scale Data

Equity Measurement of Public Sports Space in Central Urban Areas Based on Residential Scale Data

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