A5088542803- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Sharing Economy and Platforms
- Economic and Environmental Valuation
- Place Attachment and Urban Studies
- Migration, Aging, and Tourism Studies
- Vehicle emissions and performance
- Mental Health Research Topics
- Urbanization and City Planning
- Impact of Light on Environment and Health
- Distributed and Parallel Computing Systems
- Academic Research in Diverse Fields
- Noise Effects and Management
- Business and Management Studies
- Semantic Web and Ontologies
- Safety Warnings and Signage
- Urban, Neighborhood, and Segregation Studies
- Diverse Aspects of Tourism Research
Technical University of Denmark
2020-2024
Universidade do Porto
2020-2021
INESC TEC
2021
Universidade Federal de Pernambuco
2016
Carsharing services provide users with a new way of approaching mobility and accessing shared vehicles. Since the initial pilot studies in early 90s, technological innovations (e.g., advances mobile technology, increased range electric cars) establishment business models (e.g, station-based, free-floating, peer-to-peer, packages by time and/or kilometres) helped branding carsharing as sustainable yet flexible personalized alternative. On other hand, market today is extremely scattered, it...
The introduction of autonomous vehicles will revolutionize transport in urban and rural areas. Nevertheless, before we allow to roam our streets, should strive predict the impact that they could have prevent as many negative externalities possible. Moreover, it is expected ability let go wheel multitask substantially decrease in-vehicle value time, triggering travel behavioral changes, which turn a on environmental sustainability system. Thus, tried estimate rebound effect linked changes...
Car-sharing services provide short-term car access, contributing to sustainable urban mobility and generating positive societal environmental impacts. Attraction retention of members are essential for the profitability survival these in cities. Yet, relevance a variety possible business models' features car-sharing subscriptions is still under-explored. This study examines individuals' preferences subscribing different models, focusing on attractiveness car-sharing-related incentives...
Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the process by segmenting population based on assumption preference similarities. We present a method efficiently incorporating attitudinal indicators specification LCCM, introducing Artificial Neural Networks (ANN) to formulate latent variables constructs. This formulation overcomes structural equations its capability exploring relationship between and decision choice,...
Travel behavior adaptations resulting from international temporary relocation is understudied, despite their increasing relevance. The scarce published literature on the subject overlooks local contexts and ignores aspects related to adaptation processes motivations. This study aims partially fill this gap by addressing travel of students researchers, focusing public transport (PT) frequency use satisfaction. To investigate this, a Bayesian Structural Equation Model was estimated using data...
Temporary opportunities for studying and working abroad have been growing globally intensifying the movement of highly skilled temporary populations. To attract this group, cities need to address their residential mobility needs. This study focuses on factors influencing travel satisfaction transnational residents, highlighting occurrence self-selection, its impacts choices derived levels satisfaction. We estimated a Bayesian Structural Equations Model found that lower (residential...
Car-sharing services have been providing short-term car access to their users, contributing sustainable urban mobility and generating positive societal often environmental impacts. As car-sharing business models vary, it is important understand what features drive the attraction retention of its members in different contexts. For that, essential examine individuals preferences for subscriptions they perceive as most relevant, well could be attractive incentives. This study aims precisely...
This paper investigates car ownership dynamics based on irregularly spaced panel data of Denmark. The originates from a national travel survey, where fraction the respondents are recurrent due to random sampling scheme survey. While this creates rich sample collected over long time period and with desired variation between observations, it introduces an estimation challenge irregular spacing observations. is addressed by estimating changes in generalised ordered logit model which nature...
Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the process by segmenting population based on assumption preference similarities. We present a method efficiently incorporating attitudinal indicators specification LCCM, introducing Artificial Neural Networks (ANN) to formulate latent variables constructs. This formulation overcomes structural equations its capability exploring relationship between and decision choice,...
Accurately modeling individual travel demand and behavior is essential for forecasting the impact ofalternative policies both at disaggregated aggregated levels. In last decades, state-ofthe-art of models advanced from traditional four-step models, passing through tourbasedmodels, to activity-based models. The latter postulate that isderived performing activities, i.e., travels are only undertaken when utility ofan activity its associated exceeds activities involving no [1]. Furthermore,...