Urban tree risk: a case study at the Instituto Tecnológico Superior de Venustiano Carranza, Puebla
DOI:
https://doi.org/10.29298/rmcf.v9i45.143Keywords:
Principal Component Analysis, urban trees, green areas, inventory, risk, GISAbstract
The tree component in urban areas is positioned as a fundamental element of well-being in the landscape and of the citizens. Determining the risk for possible damage caused by urban tree-planting is a complex task that combines several purposes. The work focused on inventorying urban trees and establishing indicators of risk aversion, as well as suggesting forestry practices that minimize the likelihood of a disaster in the urban area. An inventory of trees was carried out at the Instituto Tecnológico Superior de Venustiano Carranza (Venustiano Carranza High Technological Institute) (ITSVC) and surveys were carried out on personnel from the same institution. The geographic data of the trees were imported into a GIS program to classify the level of risk. A descriptive statistic and a Principal Component Analysis (PCA) were used to define risk perception. 143 individuals of 12 tree species were recorded. We found an index of 0.30 trees inhabitant-1. Fear of falling individuals or branches that can cause damage to facilities or passers-by is explained with 38.94 % of the total variance in the data. The preventive measure against disasters caused by trees is the relocation of individuals. It was determined that as more information is available on the consequences of natural disasters, the perception of risk is less. The proposed methodology can be applied in larger areas.
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