Visualizing disparities in park access for the elderly in Shanghai, China

Ouyang, Linxin; Yin, Zhenxuan; De, Wang

doi:10.1177/0308518x19860539

Cited by 6 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We obtained travel time data between residences (represented by geometric centroids of sub-districts) and parks (represented by points of interest) using the Application Programming Interface (API) provided by Gaode Maps, one of China’s largest map services companies. 1 While we acknowledge the limitation of utilizing centroids to represent relatively large sub-districts, it is currently the finest resolution available with population data in Shanghai, and we follow similar approaches employed by Ouyang et al (2019) and Shen et al (2017). The API used in this study provides actual travel time, distance, and cost, accounting for traffic conditions and flows of various modes of transportation, such as walking, cycling, driving, and public transport (including subways, buses, and ferries).…”

Section: Study Area Data and Methodsmentioning

confidence: 99%

Gravity-based models for evaluating urban park accessibility: Why does localized selection of attractiveness factors and travel modes matter?

Chen,

Wang,

Qian

et al. 2023

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

Gravity-based models have been extensively utilized in urban studies for measuring geographic disparities in access to urban parks over the past several decades. However, despite methodological advancements incorporating various aspects of accessibility, there has been limited focus on the impact of variable selection (e.g., attractiveness factors) and transport modes on accessibility evaluations. This study investigates the differences in gravity-based models for assessing park accessibility based on varying assumptions about attractiveness factors and travel impedance. Semi-structured interviews with local residents were conducted to identify the reasons for park visits in Shanghai. Our bivariate correlation analyses reveal that factors such as park openness and access to public transport were crucial, in addition to conventional factors identified in the literature (i.e., park size and driving accessibility). This insight led to the development of localized accessibility measurements that incorporate park inclusiveness (i.e., entrance fees and opening hours) and multimodal travel options (based on multinomial logistic mode choice models). The results indicate that the refined model produces lower and more varied accessibility levels, which can better capture accessibility gaps across different geographic contexts. This accurate and practical identification of accessibility gaps can assist local planners and decision-makers in formulating effective policies and strategies to promote equitable access to urban public parks.

show abstract

Section: Study Area Data and Methodsmentioning

confidence: 99%

Gravity-based models for evaluating urban park accessibility: Why does localized selection of attractiveness factors and travel modes matter?

Chen,

Wang,

Qian

et al. 2023

Environment and Planning B: Urban Analytics and City Science

View full text Add to dashboard Cite

show abstract

“…What’s more, travel time can be used to define accessibility in this paper due to it not only directly determines the risks of virus infection but also a key indicator in related predictions studies, such as H7N9 Avian Influenza [ 31 ], African Malaria [ 32 ], African Food security [ 33 ]. Next, accessibility measurements have been widely applied to many fields including resident commuting, public resource allocation, and urban management among the elderly and low-income groups [ 34 – 37 ], but few studies have addressed the optimal allocation of fever clinics. For these reasons, we first analyzed the two travel modes for visiting FCs in Shenzhen, driving, and non-driving mode, and compared the differences in the availability of it.…”

Section: Introductionmentioning

confidence: 99%

Reducing exposure to COVID-19 by improving access to fever clinics: an empirical research of the Shenzhen area of China

Yong

Liu

et al. 2021

BMC Health Serv Res

View full text Add to dashboard Cite

Background The current 2019 coronavirus disease (COVID-19) pandemic is hitting citizen’s life and health like never before, with its significant loss to human life and a huge economic toll. In this case, the fever clinics (FCs) were still preserved as one of the most effective control measures in China, but this work is based on experience and lacks scientific and effective guidance. Here, we use travel time to link facilities and populations at risk of COVID-19 and identify the dynamic allocation of patients’ medical needs, and then propose the optimized allocation scheme of FCs. Methods We selected Shenzhen, China, to collect geospatial resources of epidemic communities (ECs) and FCs to determine the ECs’ cumulative opportunities of visiting FCs, as well as evaluate the rationality of medical resources in current ECs. Also, we use the Location Set Covering Problem (LSCP) model to optimize the allocation of FCs and evaluate efficiency. Results Firstly, we divide the current ECs into 3 groups based on travel time and cumulative opportunities of visiting FCs within 30 min: Low-need communities (22.06%), medium-need communities (59.8%), and high-need communities (18.14%) with 0,1–2 and no less than 3 opportunities of visiting FCs. Besides, our work proposes two allocation schemes of fever clinics through the LSCP model. Among which, selecting secondary and above hospitals as an alternative in Scheme 1, will increase the coverage rate of hospitals in medium-need and high-need communities from 59.8% to 80.88%. In Scheme 2, selecting primary and above hospitals as an alternative will increase the coverage rate of hospitals in medium-need and high-need communities to 85.29%, with the average travel time reducing from 22.42 min to 17.94 min. Conclusions The optimized allocation scheme can achieve two objectives: a. equal access to medical services for different types of communities has improved while reducing the overutilization of high-quality medical resources. b. the travel time for medical treatment in the community has reduced, thus improving medical accessibility. On this basis, during the early screening in prevention and control of the outbreak, the specific suggestions for implementation in developing and less developed countries are made.

show abstract

“…What's more, travel time can be used to de ne accessibility in this paper due to it not only directly determines the risks of virus infection but also a key indicator in related predictions studies, such as H7N9 Avian In uenza 31 , African Malaria 32 , African Food security 33 . Next, accessibility measurements have been widely applied to many elds including resident commuting, public resource allocation, and urban management among the elderly and low-income groups 34,35,36,37 , but few studies have addressed the optimal allocation of fever clinics. For these reasons, we rst analyzed the two travel modes for visiting FCs in Shenzhen, driving, and non-driving mode, and compared the differences in the availability of it.…”

Section: Introductionmentioning

confidence: 99%

Reducing exposure to COVID-19 by improving access to fever clinics: An empirical research of the Shenzhen area of China

Yong

Liu²,

et al. 2021

Preprint

View full text Add to dashboard Cite

Background:The current 2019 coronavirus disease (COVID-19) pandemic is hitting citizen's life and health like never before, with its significant loss to human life and a huge economic toll. In this case, the fever clinics (FCs) were still preserved as one of the most effective control measures in China, but this work is based on experience and lacks scientific and effective guidance. Here, we use travel time to link facilities and populations at risk of COVID-19 and identify the dynamic allocation of patients’ medical needs, and then propose the optimized allocation scheme of FCs。Methods:We selected Shenzhen, China, to collect geospatial resources of epidemic communities (ECs) and FCs to determine the ECs' cumulative opportunities of visiting FCs, as well as evaluate the rationality of medical resources in current ECs. Also, we use the Location Set Covering Problem (LSCP) model to optimize the allocation of FCs and evaluate efficiency. Results:Firstly, we divide the current ECs into 3 groups based on travel time and cumulative opportunities of visiting FCs within 30 minutes: Low-satisfied communities (22.06%), medium- satisfied communities (59.8%), and high-satisfied communities (18.14%) with 0,1-2 and no less than 3 opportunities of visiting FCs. Besides, our work proposes two allocation schemes of fever clinics through the LSCP model. Among which, selecting secondary and above hospitals as an alternative in scheme 1, will increase the coverage rate of hospitals in high-satisfied and medium-satisfied communities from 59.8 percent to 80.88 percent. In scheme 2, selecting primary and above hospitals as an alternative will increase the coverage rate of hospitals in medium-satisfied and large-satisfied communities to 85.29 percent, with the average travel time reducing from 22.42 minutes to 17.94 minutes.Conclusions: The optimized allocation scheme can achieve two objectives: a. equal access to medical services for different types of communities has improved while reducing the overutilization of high-quality medical resources. b. the travel time for medical treatment in the community has reduced, thus improving medical accessibility. On this basis, during the early screening in prevention and control of the outbreak, the specific suggestions for implementation in developing and less developed countries are made.

show abstract

Visualizing disparities in park access for the elderly in Shanghai, China

Cited by 6 publications

References 3 publications

Gravity-based models for evaluating urban park accessibility: Why does localized selection of attractiveness factors and travel modes matter?

Gravity-based models for evaluating urban park accessibility: Why does localized selection of attractiveness factors and travel modes matter?

Reducing exposure to COVID-19 by improving access to fever clinics: an empirical research of the Shenzhen area of China

Reducing exposure to COVID-19 by improving access to fever clinics: An empirical research of the Shenzhen area of China

Contact Info

Product

Resources

About