Congestion description in Santiago, Chile

Boston

Congreso; 2022 MIT SCALE Conference for Latin America and the Caribbean; 2022

MIT Global Scale Network

Congestion is one of the main problems that cities face today, since it directly affects the mobility of people and the movement of cargo, causing losses of time, energy, pollution, stress and decreased productivity that directly affect the economics (Rao & Rao, 2012). Cities will continue to grow and with it also the problems of congestion, so information on the mobility of people and cargo must be available together with land use patterns for the proper development of a master plan to regulate land use and thus mitigate the effects of congestion.The main objective of this work is identification of homogeneous areas of congestion in Santiago, based on gps data of urban cargo fleet movements. Specifically, 1) Identification of patterns of homogeneous congestion areas in the city based on congestion metrics. 2) Characterization of the identified homogeneous areas based on available infrastructure, commercial activity, demographic, use of land, and social development metrics. Two main statistical techniques were used for identification of homogeneous areas: Multiple Correspondence Analysis (MCA) and Hierarchical Cluster Analysis (HCA).The city was divided into a regular grid system with 500 meters of border, like pixels on a screen. A cross-sectional sample approach was adopted.The mean operating and design speed (in km / hour) were determined for each of the pixels and the database was enriched with demography, infrastructure, use of land, economic activity and social development data.Five homogeneous areas were identified, mapped and conclusions derived.