Highlights
Standardized bicycling collision rates have decreased in Bogotá in the last 7 years.
Seven main geographic areas of bicycling risk were identified in Bogotá.
Risk factors associated with bicycling mortality differ by sex.
Findings support policy-making to implement targeted interventions to improve safety.
Methodology based on open-data sources to permit replication and monitoring.
Highlights
Data-informed methodology calculates the level of traffic stress of cyclists.
Method scales to massive data sets by coupling a classifier with a predictive model.
Methodology tested on the road network of Bogotá (Colombia)
Web-enabled dashboard supports policy making and interventions to reduce stress.
Number of bicyclists’ collisions per kilometer correlates with higher stress.
Reliable and safe access to drinking water is necessary to ensure the economic and social sustainable development of human communities. This task requires a multi-criteria decision analysis (MCDA) methodology to select alternatives for new water supply infrastructure. These alternatives represent significant financial resources and are established for a long lifespan. To support decision-making in the context of building new water supply infrastructure, this study developed an MCDA methodology that integrates a hierarchy of non-economic benefits and the expected costs into a global index. Our methodology was implemented in the city of Santa Marta, Colombia. This city currently has a 60% drinking water shortage, and urgently needs to expand its capacity to satisfy the increasing water demand. The results of this study support the implementation of the best alternative for addressing Santa Marta’s water supply problem by considering the preferences of stakeholders.
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