Exploring Spatial Distribution of Urban Park Service Areas in Shanghai Based on Travel Time Estimation: A Method Combining Multi-Source Data

Li, Zihao; Hui, Chen; Yan, Wentao

doi:10.3390/ijgi10090608

Cited by 19 publications

(19 citation statements)

References 59 publications

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“…Therefore, taking Shanghai as the research site has forward-looking significance. On the other hand, Shanghai has a high degree of urban information construction, with a high degree of information disclosure and easy access to various kinds of information [65,66]…”

Section: Research Sitementioning

confidence: 99%

Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai

Huang

Gong

White

2022

IJERPH

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With the growing challenge of aging populations around the world, the study of the care services for older adults is an essential initiative to accommodate the particular needs of the disadvantaged communities and promote social equity. Based on open-source data and the geographic information system (GIS), this paper quantifies and visualizes the imbalance in the spatial distribution of elderly care facilities in 14,578 neighborhoods in downtown (seven districts) Shanghai, China. Eight types of elderly care facilities were obtained from Shanghai elderly care service platform, divided into two categories according to their service scale. With the introduction of the improved Gaussian 2-step floating catchment area method, the accessibility of two category facilities was calculated. Through the global autocorrelation analysis, it is found that the accessibility of elderly care facilities has the characteristics of spatial agglomeration. Local autocorrelation analysis indicates the cold and hot spots in the accessibility agglomeration state of the two types of facilities, by which we summarized the characteristics of their spatial heterogeneity. It is found that for Category−Ⅰ, there is a large range of hot spots in Huangpu District. For Category−Ⅱ, the hot-spot and cold-spot areas show staggered distribution, and the two categories of hot spot distribution show a negative correlation. We conclude that the two categories are not evenly distributed in the urban area, which will lead to the low efficiency of resource allocation of elderly care facilities and have a negative impact on social fairness. This research offers a systematic method to study urban access to care services for older adults as well as a new perspective on improving social fairness.

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Section: Research Sitementioning

confidence: 99%

Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai

Huang

Gong

White

2022

IJERPH

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“…In China, UGSs are classified into five main types, including park green space, green buffer, square green space, attached green space and regional green space, depending on the nature of the land, proportion of green space, location and facilities. Detailed classification of parks in previous studies on UGS use could be determined using the size of parks [36,37], the geographic location of parks [38] and the facilities in parks [37], for example. To the authors' knowledge, there is no literature review exploring how socio-demographic factors affect use and visitation of green space typologies within a global context.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Socio-Demographic Factors on Preference and Park Usage in Guangzhou, China

Ma¹,

Brindley²,

Lange³

2022

Land

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Urban green space (UGS) provides a range of services to visitors and is particularly important for recreation and well-being. There are a number of approaches to research visitor accessibility, but implications for demographic differences of users are typically ignored. In order to more precisely model usage of UGS regarding visitor preference, this study used Guangzhou (China) as a case study, concentrating on residents’ visitation to parks and their factors across different groups (for example, by gender, education level, age and visiting frequency). Online questionnaires from 2360 adults were collected on visiting preferences, such as traveling time, visiting frequency, visit duration within parks, visiting reasons and barriers. Results indicate that women were less likely than men to undertake longer walking trips to access parks (over 40 min). Elderly people tended to have longer visit durations, and lower-educated people tended to have shorter visiting times (particularly less than 15 min) in parks. Visit duration in parks had a positive association with walking time and a negative association with visiting frequency. Furthermore, the proportion of people visiting parks to relieve stress declined with increasing age. Infrequent park users (visiting parks less than once a month) rarely visited to gain inspiration or to socialize with strangers. Barriers to use of parks were correlated with socio-demographic factors, highlighting that older people identified poor quality of parks and long walking times as critical barriers. This study provides evidence that there is no one-size-fits-all modeling approach for UGS usage; instead, it demonstrates the importance of considering the socio-demographic characteristics of users.

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“…It is necessary to comprehensively analyze the accessibility of park green space from different aspects. Second, residents have limited tolerance time for different types of parks and travel modes [52]; thus, further refinement of the time threshold is required for future research [53]. Third, this paper focuses on all groups in the study area.…”

Section: Limitationmentioning

confidence: 99%

Assessing Park Accessibility Based on a Dynamic Huff Two-Step Floating Catchment Area Method and Map Service API

Wang

Wei

2022

IJGI

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Park green space (PGS) is an important part of urban ecosystem and green infrastructure, and the ease of access to PGS is closely related to the health of residents. A growing number of studies have attempted to identify accessibility disparities, but results have varied because of the travel mode choice and the measurement method. This study proposes a dynamic Huff two-step floating catchment area (H2SFCA) method based on map service API (Application Programming Interface) to assess the accessibility of PGS, with the Gini coefficient and bivariate local Moran’s I used to analyze accessibility equity. Results show that: (1) driving and biking modes have more significant spatiotemporal compression effects than dynamic modes, public transit, and walking mode. (2) The accessibility values and spatial patterns vary significantly by travel mode. The PGS availability pattern at the local level is more uneven than the distribution of accessibility at the regional level. In comparison with dynamic travel modes, the accessibility values for the single travel mode are more likely to be overestimated or underestimated. (3) The PGS accessibility by the dynamic modes generally has better spatial equity and residents can select suitable travel tools to acquire more equitable park services. In addition, there is a significant accessibility difference between dynamic driving-based mode and dynamic transit-based mode in four subdistricts, which are mainly located in the south of Tianhe District. The public transport facilities linking parks in these areas need to be optimized. This study further improves the accessibility evaluation method, with the findings conducive to the implementation of refined PGS planning and management.

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Exploring Spatial Distribution of Urban Park Service Areas in Shanghai Based on Travel Time Estimation: A Method Combining Multi-Source Data

Cited by 19 publications

References 59 publications

Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai

Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai

The Influence of Socio-Demographic Factors on Preference and Park Usage in Guangzhou, China

Assessing Park Accessibility Based on a Dynamic Huff Two-Step Floating Catchment Area Method and Map Service API

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