In order to construct urban environments that limit negative impacts for global sustainability while supporting human wellbeing, there is a need to better understand how features of the environment influence people’s everyday experiences. We present a novel method for studying this combining accessibility analysis and public participatory GIS (PPGIS). Seven environment features are defined and accessibility to them analysed across Stockholm municipality. We estimate the probabilities of positive and negative experiences in places based on these environment features, by using spatial regression to extrapolate from the results of an online PPGIS survey (1784 experiences of 1032 respondents). Six of the seven studied environment features have significant impact on experiential outcome, after accounting for spatial autocorrelation among the data. The results show that number of residents and proximity of nature environments and water, all common quality indicators in urban planning and research, have weak statistically significant effects on people’s experiences. However, areas dominated by large working populations or proximity to major roads have very low rates of positive experiences, while areas with high natural temperature regulating capacities have very high rates, showing that there are considerable qualitative differences within urban environments as well as nature environments. Current urban planning practices need to acknowledge these differences to limit impacts on the biosphere while promoting human wellbeing. We suggest that a good way to start addressing this is through transformation of negatively experienced urban areas through designs that integrate closeness to urbanity with possibilities to have nature experiences on a daily basis. 

Despite much attention in the literature, knowledge about the dynamics surrounding urban densification and urban greening is still in dire need for architects, urban planners and scientists that strive to design, develop, and regenerate sustainable and resilient urban environments. Here, we investigate countrywide patterns of changes in residential density and residential nature at high spatial resolution over a time period of >20 years (1995-2016), combining a dataset of address-level population data covering all of Denmark (>2 million address points) with satellite image-derived Normalized Difference Vegetation Index (NDVI) data. Our results show that many residential environments across Denmark have witnessed simultaneous densification and greening since the mid-1990s. In fact, the most common change within 500 metre neighbourhoods around individual address points is of joint increases in population and NDVI (28%), followed by increasing NDVI with stable population figures (21%). In contrast, only 8% of neighbourhoods around address points have seen a decline in either population or NDVI. Results were similar in low- middle- and high-density environments, suggesting that trends were driven by climate change but also to some degree enabled by urban planning policies that seek to increase rather than decrease nature in the cities.

An unresolved issue in creating resilient cities is how to obtain sustainability benefits from densification while not eroding the capacity of social-ecological systems to generate wellbeing for urban dwellers. To understand how different relationships between urban form and wellbeing together play out, we analysed geocoded experiential data (1460 experiences from 780 respondents) together with variables of the physical environment. Through statistical and spatial analysis, we operationalised resilience principles to assess what urban environments provide “resilience at eye level” – a diversity of experiences and a level of connectivity between them that limit adverse outcomes. We found 8 typologies of experiential landscapes – distinct compositions of 11 categories of experiences. Our analysis shows that typologies with experiences supportive of wellbeing are diverse and exist in environments that balance residents and workplaces, avoid extreme spatial integration and/or density and have accessible nature. Typologies with many experiences hindering wellbeing fail in one or several of these respects. Our findings suggest that resilience principles can act as a guiding heuristic for urban densification that does not compromise human wellbeing.

The coronavirus pandemic entailed varying restrictions on access, movement and social behavior in populations around the world. Knowledge about how people coped with "soft-touch" restrictions can inform urban spatial planning strategies that enhance resilience against future pandemics. We analyzed data from an online place based survey on 2845 places across Sweden that respondents abstained from visiting, visited with similar frequency, or visited more frequently in spring 2020 as compared to before the pandemic. In spatial logistic regression models, we relate geographical and sociodemographic properties of places (fields, forests, water, residential population density and daytime population density) to self-perceived changes in wellbeing from visiting the given place less or more often, respectively. Abstaining from visiting places with natural features located in areas of high residential density was associated with a self-perceived negative influence on wellbeing. Yet, fields, forests and water were strongly associated with places people claimed wellbeing benefits from during pandemic restrictions. The further a visited place was from the respondent's home, the more likely it was to have a positive wellbeing influence. As an illustrative case, we map our models onto the landscape of Stockholm, showing that some neighborhoods are likely more resilient than others when coping with pandemic restrictions. Both the most and least resilient neighborhoods span the socio-economic spectrum. Urban planning will do well to enable equitable, easy access to natural settings by foot or bike, to increase pandemic preparedness as well as support climate change mitigation and biodiversity protection.