Image

General Info

Institution:
Instituto Superior Técnico
Department:
Departamento de Engenharia Civil, Arquitectura e Ambiente
Research Group:

Ciência ID:
2316-9365-B873
Orcid:
https://orcid.org/0000-0003-0860-7002
Scopus ID:
https://www.scopus.com/authid/detail.uri?authorId=57213001323
Google Scholar:
https://scholar.google.com/citations?user=kiSlzroAAAAJ&hl=en
ResearchGate:
https://www.researchgate.net/profile/Miguel-Costa-33

Contact Info

Address:
A, Rovisco Pais
1049-001 LISBOA Lisboa - Portugal
Email:
miguel.n.costa@tecnico.ulisboa.pt

Miguel Nobre da Costa

PhD student

Cyclists face many adversities in their daily journeys, whether it is interactions with cars or ill-designed infrastructure and, as a result, these interactions affect their and other cyclists’ decisions to keep on cycling. In this sense, studying perceived risk and how different factors influence the perception of safety is key. Further, the link between how risk is perceived, and actual cycling risk is not fully know today. Current approaches on this topic are not scalable and focus mainly in performing interviews or deploying surveys.
With this in mind, I propose to research how to interlink data sensing, computer vision, image processing and signal processing to create an advantage over other research that has been carried on the topic of cyclists’ perception of safety.
Title Authors Year Volume DOI Journal Impact factor Clar.Analytics CERIS Members
Impact of COVID-19 lockdown on the behavior change of cyclists in Lisbon, using multinomial logit regression analysis Costa, M.; Félix, R.; Marques, M.; Moura, F. 2022 V. 14 (art. 100609) 10.1016/j.trip.2022.100609 Transportation Research Interdisciplinary Perspectives Filipe Manuel Mercier Vilaça e Moura, Rosa Melo Félix, Miguel Nobre da Costa
CYCLANDS: Cycling geo-located accidents, their details and severities Costa, M.; Marques, M.; Roque, C.; Moura, F. 2022 V. 9, n.º 1 (art. 237) 10.1038/s41597-022-01333-2 Scientific Data 8.501 Filipe Manuel Mercier Vilaça e Moura, Miguel Nobre da Costa
A circuity temporal analysis of urban street networks using open data: A lisbon case study Costa, M.; Marques, M.; Moura, F. 2021 V. 10, n.º 7 (art. 453) 10.3390/ijgi10070453 ISPRS International Journal of Geo-Information 3.390 Filipe Manuel Mercier Vilaça e Moura, Miguel Nobre da Costa