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Abstract:
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To advance our understanding of the link between subjective well-being and time spent in natural environments, we quantified the relationships between sentiment expressed on Twitter and land-cover type, tree canopy density, and urban parks using 1.9M geolocated tweets sent by 81K users from locations throughout Seattle, Washington, USA. We estimated three random-intercept partial proportional odds models correspondingly. Our results suggest that for a given type of land-use, tweets sent from some natural land-cover types were less likely to be negative compared to tweets sent from the urban-built land cover. Also, for tweets sent in industrial zones, increase in tree-canopy coverage was associated with lower probability of being negative and higher probability of being positive; but for tweets sent in commercial zones, the association between tree canopy and sentiment polarity was negative. Tweets sent from urban parks in commercial zones and residential zones were less likely to be negative compared to tweets sent from outside parks. Surprisingly, tweets sent from large natural parks in residential zones were less likely to be positive compared to tweets sent from outside parks.
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