Affiliation:
1. Faculty of Engineering, Universidad Autónoma de Baja California (UABC), Mexicali 21280, BC, Mexico
2. Transport Infrastructure, Regional Development and Social Impact of UABC, Mexicali 21280, BC, Mexico
3. Civil Engineering and Sustainability of UABC, Mexicali 21280, BC, Mexico
Abstract
In this research, an analysis of the socio-environmental vulnerability in the urban area of the border municipality of Tijuana, Baja California (BC), in Mexico is carried out with data from the year 2020. Currently, this municipality is the most populated in the country, housing a population of just over 1.9 million inhabitants, characterized by being a city in constant urban growth due to its geographical location and various social, cross-border and productive dynamics directed by industrial development. However, Tijuana presents territorial problems related to lack of urban planning, overpopulation, urban marginalization, topographic conditions, urban waste management, air quality and lack of infrastructure and basic services. The proposed methodology develops a socio-environmental vulnerability index (SEVI), based on the evaluation of critical or extreme demographic and urban aspects, including social, economic, environmental and physical variables of the territory with the support of the Geographic Information System (GIS). This index is composed of a total of 19 indicators related to education, health, employment, housing conditions, infrastructure, population settlement, industrial concentration and some factors regarding environmental quality, especially focused on the disposal of urban solid waste (USW) in clandestine sites, garbage collection service coverage and flood risk. This analysis allowed us to determine the groups most vulnerable to socio-environmental risks in 692 Basic Geostatistical Areas (AGEB, the acronym in Spanish) of nine city delegations. The results of the research highlight that 14.78% of the population is between a situation of high and very high socio-environmental vulnerability, representing just over 284,000 inhabitants. It is concluded that the use of GIS in spatial planning allows us to identify risk areas and thereby promote more sustainable measures to ensure the well-being of the population.