Behavior, Network, Market and Policy Dynamics in Multi-Modal, Multi-Layer and Multi-Class Air and Rail Transport Systems
This project aims to innovate long-distance transport systems by developing advanced models and policies that integrate behavioral dynamics, network strategies, and market evolution for improved sustainability.
Projectdetails
Introduction
The long-distance transport market is currently experiencing rapid changes, and innovative services and policies are fundamentally reshaping how we travel. The discrepancy between the relevance of long-distance travel for emission reduction policy goals and the lack of related knowledge to support the design, planning, and policy making of long-distance transport systems hinders the development of successful pathways.
Need for New Paradigms
In order to understand, forecast, devise policies, and evaluate developments related to long-distance travel, there is an urgent need for new paradigms which consider:
- Strategic behaviour
- Network development strategies
- Policy trajectories
- Co-evolution of markets where revenue management and coopetition are prevalent
This requires developing comprehensive and cutting-edge methods for designing and assessing policy interventions by integrating behavioural, network development, and market dynamics, for which the PI is well-positioned.
Research Program Overview
This research program develops and tests theories and models of transport systems in the uncharted domain of long-distance transport markets with Multi-layer, Multi-modal and Multi-class Air and Rail Systems (3MARS).
Objectives of 3MARS
3MARS will:
- Unravel crucial behavioural aspects
- Develop novel models for the assignment of multi-class flows for a multi-layer multi-modal network
- Conceptualize and operationalize the market relations and dynamics between supply and demand and amongst service providers and the evolution thereof
- Develop network design and revenue management techniques in competition-collaboration settings
- Design and assess supply- and demand-side policy interventions
- Examine the interactions between all of those system components and phenomena
Expected Outcomes
The proposed program will result in a series of theoretical and methodological breakthroughs in the field of transport modelling, as well as methodological and empirical contributions in the fields of travel behaviour, environmental and sustainability policy, and network and market dynamics.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.816 |
Totale projectbegroting | € 1.999.816 |
Tijdlijn
Startdatum | 1-5-2025 |
Einddatum | 30-4-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- TECHNISCHE UNIVERSITEIT DELFTpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
ADAPTIVE TRANSPORT SYSTEMS WITH HOLISTIC REPRESENTATION OF SUPPLY AND DEMANDADAPT-OR aims to develop a self-learning adaptive modeling framework for transportation systems, enhancing efficiency and sustainability by integrating supply and demand decision-making. | ERC Starting... | € 1.499.999 | 2024 | Details |
Choice, necessity or chance? Understanding behaviouR chanGE iN TransportURGENT aims to enhance understanding of mobility behavior change through interdisciplinary analysis of individual and contextual factors, using longitudinal data to inform effective transport intervention strategies. | ERC Consolid... | € 1.936.613 | 2022 | Details |
Econometric Models to Evaluate Environmental and Spatial Effects of Long-Lasting PoliciesThis project develops an econometric methodology to analyze how policies influence the spatial distribution of economic activity and their environmental impacts across agriculture and transport sectors. | ERC Starting... | € 1.413.500 | 2023 | Details |
The active travel backlash paradox: opposition and acceptability determinants of built environment-based sustainable travel interventionsThe ATRAPA project aims to validate the travel backlash paradox and analyze factors influencing opposition and support for sustainable transport policies in eight European cities. | ERC Starting... | € 1.499.873 | 2024 | Details |
Playing urban mobility games with intelligent machines. Framework to discover and mitigate human-machine conflicts.The COeXISTENCE project explores AI's impact on urban mobility, aiming to identify and mitigate conflicts between machine-driven decisions and human travel needs through multi-objective reinforcement learning. | ERC Starting... | € 1.494.405 | 2023 | Details |
ADAPTIVE TRANSPORT SYSTEMS WITH HOLISTIC REPRESENTATION OF SUPPLY AND DEMAND
ADAPT-OR aims to develop a self-learning adaptive modeling framework for transportation systems, enhancing efficiency and sustainability by integrating supply and demand decision-making.
Choice, necessity or chance? Understanding behaviouR chanGE iN Transport
URGENT aims to enhance understanding of mobility behavior change through interdisciplinary analysis of individual and contextual factors, using longitudinal data to inform effective transport intervention strategies.
Econometric Models to Evaluate Environmental and Spatial Effects of Long-Lasting Policies
This project develops an econometric methodology to analyze how policies influence the spatial distribution of economic activity and their environmental impacts across agriculture and transport sectors.
The active travel backlash paradox: opposition and acceptability determinants of built environment-based sustainable travel interventions
The ATRAPA project aims to validate the travel backlash paradox and analyze factors influencing opposition and support for sustainable transport policies in eight European cities.
Playing urban mobility games with intelligent machines. Framework to discover and mitigate human-machine conflicts.
The COeXISTENCE project explores AI's impact on urban mobility, aiming to identify and mitigate conflicts between machine-driven decisions and human travel needs through multi-objective reinforcement learning.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
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Optimale Multi Modale MobiliteitHet project ontwikkelt een softwareplatform voor het optimaliseren van mobiliteit in personen- en goederenvervoer, gericht op flexibele routeplanning en kostenbesparing, met als doel CO2-reductie en verhoogde klanttevredenheid. | Mkb-innovati... | € 190.400 | 2016 | Details |
MaaS en TrafficManagement Exchange (MaTmEx)Het project richt zich op het verminderen van congestie in stedelijke gebieden door MaaS en TrafficManagement Exchange te implementeren, wat leidt tot efficiënter verkeer en verbeterde mobiliteitsdiensten. | Mkb-innovati... | € 327.388 | 2018 | Details |
IMplementing a NOcturnal, EcO-FrieNdly, and Integrated SharEd Transportation ConceptThe LIFE MOONSET project aims to develop and evaluate an innovative demand-responsive transport service for nocturnal workers in urban areas, promoting sustainable mobility and reducing car dependency. | LIFE Standar... | € 1.729.702 | 2024 | Details |
ORKEST – Optimal integration of network flexibiilty and asset intelligence to increase large-scale integration of RES, while maintaining reliabilityHet project richt zich op het ontwikkelen van optimalisatiemethoden en tools voor actief capaciteitsbeheer van overvolle netten, om de energietransitie te versnellen en de betrouwbaarheid te waarborgen. | Missiegedrev... | € 2.602.933 | 2023 | Details |
ROBUSTROBUST ontwikkelt een integraal flexibiliteitssysteem op stadsregioniveau om lokale congestie te verminderen en de inzet van duurzame energie en elektrisch vervoer te optimaliseren. | Missiegedrev... | € 3.327.753 | 2021 | Details |
Optimale Multi Modale Mobiliteit
Het project ontwikkelt een softwareplatform voor het optimaliseren van mobiliteit in personen- en goederenvervoer, gericht op flexibele routeplanning en kostenbesparing, met als doel CO2-reductie en verhoogde klanttevredenheid.
MaaS en TrafficManagement Exchange (MaTmEx)
Het project richt zich op het verminderen van congestie in stedelijke gebieden door MaaS en TrafficManagement Exchange te implementeren, wat leidt tot efficiënter verkeer en verbeterde mobiliteitsdiensten.
IMplementing a NOcturnal, EcO-FrieNdly, and Integrated SharEd Transportation Concept
The LIFE MOONSET project aims to develop and evaluate an innovative demand-responsive transport service for nocturnal workers in urban areas, promoting sustainable mobility and reducing car dependency.
ORKEST – Optimal integration of network flexibiilty and asset intelligence to increase large-scale integration of RES, while maintaining reliability
Het project richt zich op het ontwikkelen van optimalisatiemethoden en tools voor actief capaciteitsbeheer van overvolle netten, om de energietransitie te versnellen en de betrouwbaarheid te waarborgen.
ROBUST
ROBUST ontwikkelt een integraal flexibiliteitssysteem op stadsregioniveau om lokale congestie te verminderen en de inzet van duurzame energie en elektrisch vervoer te optimaliseren.