Methodology for identifying areas with congestion, accidents and dense mobility corridors, by private vehicle
DOI:
https://doi.org/10.37636/recit.v8n1e370Keywords:
Mobility, Origin-Destination, Private vehicle, Waze Geosocial RedAbstract
Urban agglomerations that exceed the capacity of services and infrastructure generate negative conditions for the coexistence of population growth and development. They diminish the benefits of living in cities, surpassing the optimal state of space-time relationships in which people carry out their daily activities, such as going to work. In light of the above, this research presents a spatial methodology for analyzing mobility in Mexico City and its relationship with the Metropolitan Zone of the Valley of Mexico, considering two negative externalities of metropolitan traffic: congestion and road accidents. Integrating the assessments of the affected user in direct interaction with these externalities, poured into the Waze Geosocial Network platform, concerning the information from the official databases of governmental and educational institutions, such as the location and size of the Economic Units of the National Statistical Directory of Economic Units, the mobility conditions by private car of the 2017 Origin Destination Household Survey and the extension and characteristics of the 2017 National Road Network. Thus, mobility parameters with spatial interrelation based on Geographic Information Systems are obtained, and average employment magnitudes, congestion, and accident frequencies for different spaces, zoning, territoriality, and time conditions are identified. The dynamics of mobility by private car have a notable impact on road corridors that are related to the central-western zone of Mexico City and in a higher concentration of traffic reports and road accidents, derived from the relationship with the area of continuous concentration of average employment, which demands to be addressed.
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