OPTIMISM
10.49
From 2011 to 2013
OPTIMISM focused on optimising transport systems by integrating co-modality and ICT solutions, keeping in mind passenger needs and climate goals. TML developed the methodology to combine data on travel behaviour and analysed ICT measures, with the team using macro models such as TREMOVE to estimate the impact on greenhouse gas emissions.
This project focused on the development of different strategies and methodologies to optimise transport systems based on co-modality and ICT solutions. It also considered passenger needs and Europe's low-carbon target. The main result is a scientifically documented understanding of the transport system and people's travel choices by studying social behaviour, mobility patterns, and business models. This allows future changes in the mobility system to lead to a sustainable method/mode of travel, as people can travel in a more efficient, safe, and clean way, without sacrificing mobility.
Three main activities underpinned OPTIMISM:
Three key ICT measures were examined in detail. These measures were selected based on a previous analysis focusing on their potential as a function of improving co-modality. The measures are car sharing, personalised travel information, and the use of mobile technology for payment. The overall decarbonisation effect was estimated relatively low, with a single measure responsible for a 3.7% reduction in CO₂ emissions. This was due to a limited estimate of the market uptake of the measures, caused by specific problems and challenges associated with each measure. Although rebound effects were considered, they could not be quantified in detail. It was generally assumed that these effects were relatively limited.
TML was responsible for the methodology used to unify the various available or prospective data sources related to travel behaviour. As a result, TML was also responsible for the initial analysis of different ICT measures in the context of co-modality. TML used different macro models (such as TREMOVE) to estimate the impact of future ICT solutions related to co-modality on greenhouse gas emissions.
This project focused on the development of different strategies and methodologies to optimise transport systems based on co-modality and ICT solutions. It also considered passenger needs and Europe's low-carbon target. The main result is a scientifically documented understanding of the transport system and people's travel choices by studying social behaviour, mobility patterns, and business models. This allows future changes in the mobility system to lead to a sustainable method/mode of travel, as people can travel in a more efficient, safe, and clean way, without sacrificing mobility.
Three main activities underpinned OPTIMISM:
- Harmonisation of national data on travel behaviour, allowing a unified dataset to serve as reference material for the future use of existing studies and baseline information (or data).
- Definition of supply and demand factors shaping transport and mobility patterns.
- Determination of the potential decarbonisation of the passenger transport system, based on an analysis of ICT options and co-modality.
Three key ICT measures were examined in detail. These measures were selected based on a previous analysis focusing on their potential as a function of improving co-modality. The measures are car sharing, personalised travel information, and the use of mobile technology for payment. The overall decarbonisation effect was estimated relatively low, with a single measure responsible for a 3.7% reduction in CO₂ emissions. This was due to a limited estimate of the market uptake of the measures, caused by specific problems and challenges associated with each measure. Although rebound effects were considered, they could not be quantified in detail. It was generally assumed that these effects were relatively limited.
TML was responsible for the methodology used to unify the various available or prospective data sources related to travel behaviour. As a result, TML was also responsible for the initial analysis of different ICT measures in the context of co-modality. TML used different macro models (such as TREMOVE) to estimate the impact of future ICT solutions related to co-modality on greenhouse gas emissions.
