Public health in linkage to land use: Theoretical framework, empirical evidence, and critical implications for reconnecting health promotion to land use policy

Su, Shiliang; Zhang, Qianwen; Pi, Jianhua; Wan, Cao; Wang, Min

doi:10.1016/j.landusepol.2016.06.030

Cited by 69 publications

(35 citation statements)

References 85 publications

(106 reference statements)

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“…On the other hand, negative neighbourhood perception may discourage PA through the same mechanism [36,37]. In this study, all respondents have lived in their neighbourhood for at least 12 months, so they should be familiar with the perception of their neighbourhood environment, and this makes the neighbourhood perception even more important for their PA [71,72].…”

Section: Discussionmentioning

confidence: 87%

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

et al. 2019

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Background: Neighbourhood environment characteristics have been found to be associated with residents' willingness to conduct physical activity (PA). Traditional methods to assess perceived neighbourhood environment characteristics are often subjective, costly, and time-consuming, and can be applied only on a small scale. Recent developments in deep learning algorithms and the recent availability of street view images enable researchers to assess multiple aspects of neighbourhood environment perceptions more efficiently on a large scale. This study aims to examine the relationship between each of six neighbourhood environment perceptual indicators-namely, wealthy, safe, lively, depressing, boring and beautiful-and residents' time spent on PA in Guangzhou, China. Methods:A human-machine adversarial scoring system was developed to predict perceptions of neighbourhood environments based on Tencent Street View imagery and deep learning techniques. Image segmentation was conducted using a fully convolutional neural network (FCN-8s) and annotated ADE20k data. A human-machine adversarial scoring system was constructed based on a random forest model and image ratings by 30 volunteers. Multilevel linear regressions were used to examine the association between each of the six indicators and time spent on PA among 808 residents living in 35 neighbourhoods.Results: Total PA time was positively associated with the scores for "safe" [Coef. = 1.495, SE = 0.558], "lively" [1.635, 0.789] and "beautiful" [1.009, 0.404]. It was negatively associated with the scores for "depressing" [− 1.232, 0.588] and "boring" [− 1.227, 0.603]. No significant linkage was found between total PA time and the "wealthy" score. PA was further categorised into three intensity levels. More neighbourhood perceptual indicators were associated with higher intensity PA. The scores for "safe" and "depressing" were significantly related to all three intensity levels of PA. Conclusions:People living in perceived safe, lively and beautiful neighbourhoods were more likely to engage in PA, and people living in perceived boring and depressing neighbourhoods were less likely to engage in PA. Additionally, the relationship between neighbourhood perception and PA varies across different PA intensity levels. A combination of Tencent Street View imagery and deep learning techniques provides an accurate tool to automatically assess neighbourhood environment exposure for Chinese large cities.

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Section: Discussionmentioning

confidence: 87%

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

et al. 2019

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“…Standardized coefficients are used to facilitate the interpretation of the relationships among variables. They describe the corresponding single response for a dependent variable when a given independent variable receives a single increased standard deviation [42,44]. The maximum likelihood regression-based approach is employed to obtain the estimation results.…”

Section: Empirical Approachmentioning

confidence: 99%

Explaining Peasants’ Intention and Behavior of Farmland Trusteeship in China: Implications for Sustainable Agricultural Production

2020

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Developing countries generally face the problem of sustainable agricultural production during the process of agricultural modernization. Farmland trusteeship is an emerging mode of sustainable agricultural production and has played an important role in China. At present, the Chinese government has taken it as a pilot mode, but its effect also depends on the extensive participation of peasants. Based on the theory of planned behavior (TPB) and structural equation model (SEM) method, the paper analyzed peasants’ participation intention, behavior, drivers, and the influence of policy support on peasants’ participation behavior, using survey data of Jiangsu province and peasants’ participation variables. The results suggest that: (1) The behavioral attitude, subjective norms, and perceived behavioral control variables of peasants’ participation in farmland trusteeship have a significant direct impact on peasants’ willingness to participate, and these three factors indirectly influence peasants’ participation behavior by influencing peasants’ intention; (2) perceptual behavioral control variables such as the size of farmland trusteeship organization had no significant influence on peasants’ participation behaviors; (3) government policy support has a direct and significant impact on peasants’ participation behaviors. These findings not only generate broad direct implications for Chinese policymakers to improve peasants’ participation for sustainable agricultural production, but also provide lessons for other developing countries for agricultural modernization.

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“…A growing body of literature has suggested that the neighborhood built environment influences residents' willingness and ability to conduct PA, and that changing the neighborhood built environment may have an intervening effect on residents' behaviors concerning PA [9][10][11][12][13][14][15][16][17][18]. Aspects of the built environment that shape residents' PA levels include residential density [19], recreational facilities [20,21], street connectivity [22], street intersection density [12], landuse mix [23,24], access to transit [25], and urban greenery [26][27][28][29][30][31][32]. Among them, access to PA facilities (e.g., gyms, swimming pools, and soccer fields) is found to be closely related to residents' engagement in PA, and to urban planners and designers, increasing the provision of PA facilities is thought to be an effective and straightforward way to increase residents' PA levels [10,33].…”

Section: Introductionmentioning

confidence: 99%

The association between spatial access to physical activity facilities within home and workplace neighborhoods and time spent on physical activities: evidence from Guangzhou, China

et al. 2020

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Background: Urban residents from the developing world have increasingly adopted a sedentary lifestyle and spend less time on physical activities (PA). Previous studies on the association between PA facilities and individuals' PA levels are based on the assumption that individuals have opportunities to use PA facilities within neighborhoods all day long, ignoring the fact that their willingness and opportunities to use nearby facilities depend on how much discretionary time (any time when people have a choice what to do) they have. Further, scant attention has been paid to the influence of PA facilities within both residential and workplace neighborhoods in the dense urban context. To address the above research gaps, this study investigated the links between the spatial access to PA facilities within home/workplace neighborhoods and time spent on PA among working adults, focusing on whether results were different when different measures of accessibility were used and whether participants' discretionary time over a week affected their time spent on PA. Method: This study used data from a questionnaire survey (n = 1002) in Guangzhou between June and July 2017 and point of interest (POI) data from online mapping resources. Outcome variables included the amount of time spent on physical activity/moderate and vigorous intensity physical activity (PA/MVPA) over the past week. Home/ workplace neighborhoods were measured as different distance buffers (500 m circular buffers, 1000 m circular buffers, and 1080 m network buffers) around each respondent's home/workplace. Spatial access to PA facilities was measured using two indicators: the counts of PA facilities and proximity to PA facilities within home/workplace neighborhoods. The amount of discretionary time was calculated based on activity log data of working day/weekend day from the Guangzhou questionnaire survey, and regression models were used to examine relationships between the spatial access of PA facilities, the time spent on PA/MVPA, and the amount of discretionary time, adjusted for covariates. Associations were stratified by gender, age, education, and income. Results: Using different measures of accessibility (the counts of and proximity to PA facilities) generated different results. Specifically, participants spent more time on PA/MVPA when they lived in neighborhoods with more PA facilities and spent more time on MVPA when worked in closer proximity to PA facilities. A larger amount of discretionary

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Public health in linkage to land use: Theoretical framework, empirical evidence, and critical implications for reconnecting health promotion to land use policy

Cited by 69 publications

References 85 publications

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

Explaining Peasants’ Intention and Behavior of Farmland Trusteeship in China: Implications for Sustainable Agricultural Production

The association between spatial access to physical activity facilities within home and workplace neighborhoods and time spent on physical activities: evidence from Guangzhou, China

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