A learning-based algorithm for generation of synthetic participatory mapping data in 2D and 3D.

Public participation GIS (PPGIS) is a kind of spatial data that is collected through map-based surveys in which participants create map features and express their experiences and opinions associated with various places. PPGIS is widely used in urban and environmental research. PPGIS is often implemented through online surveys and points are the most common mapped features. PPGIS data provide invaluable experiential spatial knowledge. Nevertheless, collection of this data for purely methodological purposes may be costly and unnecessary. Therefore, we developed a context-aware method that can learn from previously collected PPGIS data and create a realistic dataset that can be used for methodological development purposes. The synthetic data can be generated for any desired geographical extent in both 2D and 3D, i.e. with Z coordinates. The latter is particularly important as 3D PPGIS is an emerging frontier and limited infrastructures currently exist for collection of such data. Hence, while the relevant technology is developing, spatial analytical developments can also advance using such synthetic data. This method:•Learns from existing 2D and 3D PPGIS data in relation to the geographical context.•Creates a realistic and context-aware simulated PPGIS point dataset. The paper concludes by addressing the limitations and envisioning future research directions.

Associations between Children's Physical Activity and Neighborhood Environments Using GIS: A Secondary Analysis from a Systematic Scoping Review.

Regular participation in physical activity is essential for children's physical, mental, and cognitive health. Neighborhood environments may be especially important for children who are more likely to spend time in the environment proximal to home. This article provides an update of evidence for associations between children's physical activity behaviors and objectively assessed environmental characteristics derived using geographical information system (GIS)-based approaches. A systematic scoping review yielded 36 relevant articles of varying study quality. Most studies were conducted in the USA. Findings highlight the need for neighborhoods that are well connected, have higher population densities, and have a variety of destinations in the proximal neighborhood to support children's physical activity behaviors. A shorter distance to school and safe traffic environments were significant factors in supporting children's active travel behaviors. Areas for improvement in the field include the consideration of neighborhood self-selection bias, including more diverse population groups, ground-truthing GIS databases, utilising data-driven approaches to derive environmental indices, and improving the temporal alignment of GIS datasets with behavioral outcomes.

Analysis of pandemic outdoor recreation and green infrastructure in Nordic cities to enhance urban resilience.

Recent empirical research has confirmed the importance of green infrastructure and outdoor recreation to urban people's well-being during the COVID-19 pandemic. However, only a few studies provide cross-city analyses. We analyse outdoor recreation behaviour across four Nordic cities ranging from metropolitan areas to a middle-sized city. We collected map-based survey data from residents (n = 469-4992) in spring 2020 and spatially analyse green infrastructure near mapped outdoor recreation sites and respondents' places of residence. Our statistical examination reveals how the interplay among access to green infrastructure across cities and at respondents' residential location, together with respondents' socio-demographic profiles and lockdown policies or pandemic restrictions, affects outdoor recreation behaviour. The results highlight that for pandemic resilience, the history of Nordic spatial planning is important. To support well-being in exceptional situations as well as in the long term, green infrastructure planning should prioritise nature wedges in and close to cities and support small-scale green infrastructure.

Objective measurement of children's physical activity geographies: A systematic search and scoping review.

This study aimed to systematically identify, map out, and describe geographical information systems (GIS)-based approaches that have been employed to measure children's neighborhood geographies for physical activity behaviors. Forty studies were included, most were conducted in the USA. Heterogeneity in GIS methods and measures was found. The majority of studies estimated children's environments using Euclidean or network buffers ranging from 100 m to 5 km. No singular approach to measuring children's physical activity geographies was identified as optimal. Geographic diversity in studies as well as increased use of measures of actual neighborhood exposure are needed. Improved consistency and transparency in reporting research methods is urgently required.

Behavioral Activation Therapy on Reward Seeking Behaviors in Depressed People: An Experimental study.

Introduction: Behavioral activation therapy (BAT) is designed to help individuals' approach and access sources of positive reinforcement in their life, which can serve a natural antidepressant function and efforts to help depressed people reengage in their life through focused activation strategies. Methods: In this study, 60 individuals were selected and randomly assigned to intervention and control groups. The intervention group received behavioral activation treatment, including eight treatment sessions and 5 weeks later, a follow-up study was conducted. The data were collected, using a Beck Depression Inventory-II and behavioral activation system (BIS)/ behavioral inhibition system (BAS) Carver and White questionnaires, before the intervention and after the intervention and five weeks after the intervention. SPSS 23 and analysis of covariance (ANCOVA) was used for data analysis. Results: Results showed a significant increase in the two components of the BAS including reward seeking and response to reward in the intervention group, which indicates an increase in positive affect and appetitive motivation for reward seeking and decreases the risk of depression. Also, the results showed a significant decrease in the BIS and depression in the intervention group, which indicates a decline in experiencing negative emotions. Conclusion: The implementation of BAT will cause depressed people to try to maximize future rewards and it's effective in improving the reward seeking and reward response in depressed people because this treatment will increase the positive reinforcement and lead to learning cues that predict possible rewards in environments.

Capturing exposure in environmental health research: challenges and opportunities of different activity space models.

BACKGROUND: The built environment health promotion has attracted notable attention across a wide spectrum of health-related research over the past decade. However, the results about the contextual effects on health and PA are highly heterogeneous. The discrepancies between the results can potentially be partly explained by the diverse use of different spatial units of analysis in assessing individuals' exposure to various environment characteristics. This study investigated whether different residential and activity space units of analysis yield distinct results regarding the association between the built environment and health. In addition, this study examines the challenges and opportunities of the different spatial units of analysis for environmental health-related research. METHODS: Two common residential units of analysis and two novel activity space models were used to examine older adults' wellbeing in relation to the built environment features in the Helsinki Metropolitan Area, Finland. An administrative unit, 500 m residential buffer, home range model and individualized residential exposure model were used to assess the associations between the built environment and wellbeing of respondent's (n = 844). RESULTS: All four different spatial units of analysis yield distinct results regarding the associations between the built environment characteristics and wellbeing. A positive association between green space and health was found only when exposure was assessed with individualized residential exposure model. Walkability index and the length of pedestrian and bicycle roads were found to positively correlate with perceived wellbeing measures only with a home range model. Additionally, all units of analysis differed from each other in terms of size, shape, and how they capture different contextual measures. CONCLUSIONS: The results show that different spatial units of analysis result in considerably different measurements of built environment. In turn, the differences derived from the use of different spatial units seem to considerably affect the associations between environment characteristics and wellbeing measures. Although it is not easy to argue about the correctness of these measurements, what is evident is that they can reveal different wellbeing outcomes. While some methods are especially usable to determine the availability of environmental opportunities that promote active travel and the related health outcomes, others can provide us with insight into the mechanisms how the actual exposure to green structure can enhance wellbeing.