9 papers
T-STAR: A Context-Aware Transformer Framework for Short-Term Probabilistic Demand Forecasting in Dock-Based Shared Micro-Mobility
Jingyi Cheng, Gonçalo Homem de Almeida Correia, Oded Cats +1
Reliable short-term demand forecasting is essential for managing shared micro-mobility services and ensuring responsive, user-centered operations. This study introduces T-STAR (Two…
Weighted complement graphs of spatial networks with functional connections reveal nodes with high potential for new links
Tina Å filigoj, Oded Cats
In this study, we take a systematic look at the unrealised part of public transport networks (PTNs) with functional connections. We consider their complement graphs and study their…
Multilayer public transport networks
Tina Å filigoj, Renzo Massobrio, Oded Cats
The introduction of network science approaches into public transport research has seen great advances in the past 15 years. However, it has become apparent that monolayer networks…
Access graph: a novel graph representation of public transport networks for accessibility analysis
Tina Šfiligoj, Aljoša Peperko, Oded Cats
Accessibility, defined as travel impedance between spatially dispersed opportunities for activity, is one of the main determinants of public transport use. In-depth understanding o…
Demand-side decarbonisation at scale via MaaS-integrated carbon incentives
Bing Liu, Yuan Liao, Sonia Yeh +8
Digital carbon incentives are increasingly used to promote low-carbon travel, but city-scale evidence on their behavioral and carbon-accounting implications remains limited. We eva…
Regulating Ride-Sourcing Markets: Can Minimum Wage Regulation Protect Drivers Without Disrupting the Market?
Farnoud Ghasemi, Arjan de Ruijter, Rafal Kucharski +1
Ride-sourcing platforms such as Uber and Lyft are prime examples of the gig economy, recruiting drivers as independent contractors, thereby avoiding legal and fiscal obligations. A…