Francisco J García Bacete, Ghislaine Marande, Amori Yee Mikami
Evaluation of a multi-component and multi-agent intervention to improve classroom social relationships among early elementary school-age children
Journal of school psychology
restorative environments help people recover mental fatigue negative emotional physical reactions stress excellent restorative environments urban streets help people focus improve daily behavioral performance allowing regain efficient information processing skills cognitive levels highdensity urban spaces create obstacles resident interactions natural environment urban residents restorative function urban space important natural environment suburbs urban street spatial carrier used residents daily basis thus urban street considerable practical value terms improving urban environment effective restorative function thus study explored method determine perceived restorability urban streets using street view data deep learning models ordinary least squares ols multiscale geographically weighted regression mgwr model performed empirical study nanshan district shenzhen china nanshan district typical highdensity city area china large population limited urban resources using street view images study area deep learning scoring model developed segnet algorithm introduced segment classify visual street elements random forest algorithm based restorative factor scale employed evaluate restorative perception urban streets study spatial heterogeneity could observed restorative perception data mgwr models yielded higher r2 interpretation strength terms processing urban street restorative data compared ordinary least squares geographically weighted regression gwr models mgwr model regression model uses different bandwidths different visual street elements thereby allowing additional detailed observation extent relevance impact different elements restorative perception research also supports exploration size areas heterogeneity exists space visual street element believe results help develop informed design guidelines enhance street restorative help professionals develop targeted design improvement concepts based restorative nature urban street