Disentangling the effects of urban form and socio-demographic context on street tree cover: A multi-level analysis from Montréal
Fiche du document
- handle: 10670/1.zyrc6i
- Pham, Thi-Thanh-Hien; Apparicio, Philippe; Landry, Shawn et Lewnard, Joseph (2017). « Disentangling the effects of urban form and socio-demographic context on street tree cover: A multi-level analysis from Montréal ». Landscape and Urban Planning, 157, pp. 422-433.
Ce document est lié à :
http://archipel.uqam.ca/8930/
Ce document est lié à :
http://dx.doi.org/10.1016/j.landurbplan
Ce document est lié à :
doi:10.1016/j.landurbplan.2016.09.001
, , , , ,
Mots-clés
Street Trees Street Characteristics Socio-Economic Status Lifestyle Multi-Level and Mixed ModelsSujets proches
Stratification, Social Overstory cover, Forest Crown cover, Forest Tree canopy cover Forest crown cover Cover, Tree Cover, Tree canopy Forest overstory cover Cover, Forest crown Canopies, Forest Tree cover Cover, Forest overstory Forest crown canopies Crown canopies, Forest Canopy cover, TreeCiter ce document
Thi-Thanh-Hien Pham et al., « Disentangling the effects of urban form and socio-demographic context on street tree cover: A multi-level analysis from Montréal », UQAM Archipel : articles scientifiques, ID : 10670/1.zyrc6i
Métriques
Partage / Export
Résumé
Street trees provide a wide range of benefits for cities. Street tree cover (STC) is explained by urban form, social stratification and lifestyle theories that operate at multiple scales. In this paper we examine how the urban form (street characteristics), social stratification and lifestyle (socio-demographics) account for variations of STC in Montréal. Tree cover was identified from Quickbird images and then overlaid on street segments to compute the STC. Each street segment was nested in a census tract. We used 2-level models with mixed effects and interactions (between street attributes and socio-demographic variables) while introducing a spatial term. Political, socio-economic or other explanatory factors operating at the tract level can potentially explain 17.6% of the variation of STC. Overall, the street characteristics explained more variation in STC than the socio-demographic context. Lifestyle is less important than social stratification. Street length is positively associated with STC; street width and the percentage of duplexes and triplexes are negatively associated with STC, while construction age has a u-shaped effect on STC. Interactions show that STC is higher in expensive and highly-educated areas that have residential streets or streets with large setback (sidewalk). Areas predominantly comprised of low-income households could have higher or lower STC depending on the number of buildings and the percentage of duplexes and triplexes. Streetscape and socio-demographic contexts intertwine to create complex patterns of STC. Greening programs should be designed carefully according to local contexts since certain types of greening can lead to gentrification and displacement of low-income households.