Journals – U-Shift

November 20, 2025November 20, 2025

The relation between circuity and mobility cultures: A study of 41 European cities

Miguel Costa, Gabriel Valença, Christian Adorean, Filipe Moura. The relation between circuity and mobility cultures: A study of 41 European cities. Cities November 2025...

September 29, 2025

MaaS: Which resources are enablers, and who is being excluded?

Mauricio Orozco-Fontalvo, André Lopes, David Vale, Filipe Moura. MaaS: Which resources are enablers, and who is being excluded?. Transportation Research Part D: Transport & Environment, 148 (2025):104990, November 2025....

September 29, 2025September 29, 2025

Estimate traffic cyclist crashes using Poisson-Tweedie models

Ana Karina de Barros Christ, Carlos Roque, Filipe Moura. Estimate traffic cyclist crashes using Poisson-Tweedie models. Accident Analysis & Prevention, 223 (2025):108256, December 2025....

June 20, 2025November 20, 2025

Creating visualizations using generative AI to guide decision-making in street designs: A viewpoint.

Gabriel Valença, Carlos Azevedo, Filipe Moura, Ana Morais de Sá. Creating visualizations using generative AI to guide decision-making in street designs: A viewpoint. Journal of Urban Mobility, June 2025...

June 16, 2025

The Hierarchy of Cycling Needs: Modeling the self-assessed propensity to bicycle

Rosa Félix, Filipe Moura, Kelly J. Clifton. The Hierarchy of Cycling Needs: Modeling the self-assessed propensity to bicycle. Journal of Urban Mobility, 7(2025):100130, June 2025....

January 6, 2025

Which Cycling Environment Appears Safer? Learning Cycling Safety Perceptions From Pairwise Image Comparisons

Miguel Costa, Manuel Marques, Carlos Lima Azevedo, Felix Wilhem Siebert, Filipe Moura. Which Cycling Environment Appears Safer? Learning Cycling Safety Perceptions From Pairwise Image Comparisons. IEEE Xplore, 3 Jan 2025....

December 9, 2024

Reproducible methods for modeling combined public transport and cycling trips and associated benefits: Evidence from the biclaR tool

Rosa Félix, Filipe Moura, Robin Lovelace. Reproducible methods for modeling combined public transport and cycling trips and associated benefits: Evidence from the biclaR tool. Computers, Environment and Urban Systems, 117(2025):102230, April 2025....

December 3, 2024June 3, 2025

Bicycle parking allocation and its equity implications: The case of Bogota, Colombia

Mauricio Orozco-Fontalvo, Jorge Bolívar, Armando Vélez, Juliana Gómez, Filipe Moura. Bicycle parking allocation and its equity implications: The case of Bogota, Colombia. Latin American Transport Studies, 2, December 2024...

July 10, 2024July 18, 2024

IMPReSS: A comprehensive method to classify MaaS systems

Mauricio Orozco-Fontalvo, André Soares Lopes, David Vale, Filipe Moura. IMPReSS: A comprehensive method to classify MaaS systems. Transport Policy, 155:234-241, July 2024...

June 10, 2024July 18, 2024

The hidden cost of your ‘too fast food’: stress-related factors and fatigue predict food delivery riders’ occupational crashes

Sergio Useche, Sebastián Robayo, Mauricio Orozco-Fontalvo. The hidden cost of your ‘too fast food’: stress-related factors and fatigue predict food delivery riders’ occupational crashes. International Journal of Occupational Safety and Ergonomics, 1-10, June 2024....

Category: Journals

The relation between circuity and mobility cultures: A study of 41 European cities

MaaS: Which resources are enablers, and who is being excluded?

Estimate traffic cyclist crashes using Poisson-Tweedie models

Creating visualizations using generative AI to guide decision-making in street designs: A viewpoint.

The Hierarchy of Cycling Needs: Modeling the self-assessed propensity to bicycle

Which Cycling Environment Appears Safer? Learning Cycling Safety Perceptions From Pairwise Image Comparisons

Reproducible methods for modeling combined public transport and cycling trips and associated benefits: Evidence from the biclaR tool

Bicycle parking allocation and its equity implications: The case of Bogota, Colombia

IMPReSS: A comprehensive method to classify MaaS systems

The hidden cost of your ‘too fast food’: stress-related factors and fatigue predict food delivery riders’ occupational crashes

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