details
This project aims to provide citizens, cities and their urban multimodal transport operators, with a computational system and evaluation tools that can:(1) map a new socio-economic-computational multimodal accessibility indicator onto cities (with Lisbon as the pilot study), estimating efficiency and efficacy of multimodal network use, focusing on soft transportation, to measure their economic impact and social benefits (physical exercise, healthy living, inclusion of mobility-impaired and elderly citizens);(2) measure, simulate and predict how soft mobility can affect: CO2 emissions, environmental conditions (greenhouse gas effects, noise, traffic congestion), morbidity, traffic jams, accidents;(3) estimate multimodal transport network resiliency, handling predictable disruptions (traffic jams, accidents, construction works, urban transports). It adopts hybrid modelling and analysis creating an indicator based on computational models, sociological studies and economic techniques.
Researchers
Partners
IST, FCSH-UNL, Câmara Municipal de Lisboa
Financing
This project was partially funded by FCT UID/Multi/04466/2016.