• This study developed an Ordered Logit Model to explore the effects of walking environments on the likelihood of residents becoming overweight or obese at three spatial scales. • The impact of walking environments at the scale of 1-km buffer on individual BMI is the most significant. • Urban planners should pay more attention to improving neighbourhood walking environments. With the development of urbanization in China, obesity is becoming a serious problem, and the relationship between walking environments and obesity has attracted considerable interest. Using data from questionnaires (n = 418) gathered in 2017 from eight neighbourhoods in Guangzhou, China, a typical high-density city, this study developed an Ordered Logit Model (OLM) to explore the effects of walking environments on the likelihood of residents becoming overweight or obese. The results demonstrate that body mass index (BMI) of individuals living in central urban areas is higher than those of suburban residents. After controlling for the effects of socioeconomic factors, it was found that the impact of walking environments at the scale of 1-km buffer on individual BMI is the most significant. Variables of walkability, road network density, bus stop density, metro stop density, green coverage rate, and distance to the park have negative effects on BMI. Based on these findings, it is suggested that planning interventions should focus more on the areas through which residents walk in their daily travel routines. The selection of neighbourhoods surveyed and the sample size limit this study, but the conclusions do provide a scientific basis for the construction of neighbourhoods that encourage walking and decrease the probability of becoming overweight or obese.
Urbanization and climate change have been rapidly occurring globally. Evidence-based healthy city development is required to improve living quality and mitigate the adverse impact of the outdoor neighborhood environment on public health. Taking Guangzhou as an example to explore the association of neighborhood environment and public health and preferably to offer some implications for better future city development, we measured ten environmental factors (temperature (T), wind-chill index (WCI), thermal stress index (HSI), relative humidity (RH), average wind speed (AWS), negative oxygen ions (NOI), PM2.5, luminous flux (LF), and illuminance (I)) in four seasons in four typical neighborhoods, and the SF-36 health scale was employed to assess the physical and mental health of neighborhood residents in nine subscales (health transition(HT), physiological functions (PF), general health status (GH), physical pain (BP), physiological functions (RP), energy vitality (VT), mental health (MH), social function (SF), and emotional functions (RE)). The linear mixed model was used in an analysis of variance. We ranked the different environmental factors in relation to aspects of health and weighted them accordingly. Generally, the thermal environment had the greatest impact on both physical and mental health and the atmospheric environment and wind environment had the least impact on physical health and mental health, respectively. In addition, the physical health of the resident was more greatly affected by the environment than mental health. According to the results, we make a number of strategic suggestions for the renewal of the outdoor neighborhood environment in subtropical monsoon climate high-density cities and provide a theoretical basis for improving public health through landscape architecture at the neighborhood scale.
This article explores the role of national culture in the culinary consumption behavior of international tourists and the moderating influence of different types of travel companions. Study 1 adopted a text-mining, topical modeling approach to process useful reviews (n = 7,803) posted at TripAdvisor by users from 86 countries. Study 2 develops and tests a conceptual model of the relationships between national culture and culinary choices including culinary types and range of culinary choices, based on a secondary dataset of large-scale surveys from the tourism authority of the destination containing 9,141 responses by tourists from over 60 countries or regions. The results reveal that both Uncertainty Avoidance and Individualism-Collectivism have significant effects on tourist food consumption categories and the range of culinary choices. The study also evaluated the role of the moderating effect of travel companions, and results supported the significant relationship on the range of culinary choices when the tourists were accompanied by different types of travel companions.
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