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Using a Smart City IoT to Incentivise and Target Shifts in Mobility Behaviour--Is It a Piece of Pie?

Poslad S, Ma A, Wang Z, Mei H - Sensors (Basel) (2015)

Bottom Line: Whilst there is an increasing capability to instrument smart cities using fixed and mobile sensors to produce the big data to better understand and manage transportation use, there still exists a wide gap between the sustainability goals of smart cities, e.g., to promote less private car use at peak times, with respect to their ability to more dynamically support individualised shifts in multi-modal transportation use to help achieve such goals.We describe the development of the tripzoom system developed as part of the SUNSET-SUstainable social Network SErvices for Transport-project to research and develop a mobile and fixed traffic sensor system to help facilitate individual mobility shifts.This helps to promote mobility shifts towards achieving sustainability goals.

View Article: PubMed Central - PubMed

Affiliation: School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK. stefan.poslad@qmul.ac.uk.

ABSTRACT
Whilst there is an increasing capability to instrument smart cities using fixed and mobile sensors to produce the big data to better understand and manage transportation use, there still exists a wide gap between the sustainability goals of smart cities, e.g., to promote less private car use at peak times, with respect to their ability to more dynamically support individualised shifts in multi-modal transportation use to help achieve such goals. We describe the development of the tripzoom system developed as part of the SUNSET-SUstainable social Network SErvices for Transport-project to research and develop a mobile and fixed traffic sensor system to help facilitate individual mobility shifts. Its main novelty was its ability to use mobile sensors to classify common multiple urban transportation modes, to generate information-rich individual and group mobility profiles and to couple this with the use of a targeted incentivised marketplace to gamify travel. This helps to promote mobility shifts towards achieving sustainability goals. This system was trialled in three European country cities operated as Living Labs over six months. Our main findings were that we were able to accomplish a level of behavioural shifts in travel behaviour. Hence, we have provided a proof-of-concept system that uses positive incentives to change individual travel behaviour.

No MeSH data available.


Timeline of experiments in Enschede, Gothenburg and Leeds.
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Related In: Results  -  Collection

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sensors-15-13069-f009: Timeline of experiments in Enschede, Gothenburg and Leeds.

Mentions: The timeline of the different internal and external experiments and evaluations is shown in Figure 9. Tripzoom was available in the app stores from the start of 2013. From that time forward, people could install and use tripzoom and register their trips. However, only when explicitly recruiting people participants started using tripzoom and users are only prone to use tripzoom while an experiment is conducted (see Section 5 for further comments about this).


Using a Smart City IoT to Incentivise and Target Shifts in Mobility Behaviour--Is It a Piece of Pie?

Poslad S, Ma A, Wang Z, Mei H - Sensors (Basel) (2015)

Timeline of experiments in Enschede, Gothenburg and Leeds.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507639&req=5

sensors-15-13069-f009: Timeline of experiments in Enschede, Gothenburg and Leeds.
Mentions: The timeline of the different internal and external experiments and evaluations is shown in Figure 9. Tripzoom was available in the app stores from the start of 2013. From that time forward, people could install and use tripzoom and register their trips. However, only when explicitly recruiting people participants started using tripzoom and users are only prone to use tripzoom while an experiment is conducted (see Section 5 for further comments about this).

Bottom Line: Whilst there is an increasing capability to instrument smart cities using fixed and mobile sensors to produce the big data to better understand and manage transportation use, there still exists a wide gap between the sustainability goals of smart cities, e.g., to promote less private car use at peak times, with respect to their ability to more dynamically support individualised shifts in multi-modal transportation use to help achieve such goals.We describe the development of the tripzoom system developed as part of the SUNSET-SUstainable social Network SErvices for Transport-project to research and develop a mobile and fixed traffic sensor system to help facilitate individual mobility shifts.This helps to promote mobility shifts towards achieving sustainability goals.

View Article: PubMed Central - PubMed

Affiliation: School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK. stefan.poslad@qmul.ac.uk.

ABSTRACT
Whilst there is an increasing capability to instrument smart cities using fixed and mobile sensors to produce the big data to better understand and manage transportation use, there still exists a wide gap between the sustainability goals of smart cities, e.g., to promote less private car use at peak times, with respect to their ability to more dynamically support individualised shifts in multi-modal transportation use to help achieve such goals. We describe the development of the tripzoom system developed as part of the SUNSET-SUstainable social Network SErvices for Transport-project to research and develop a mobile and fixed traffic sensor system to help facilitate individual mobility shifts. Its main novelty was its ability to use mobile sensors to classify common multiple urban transportation modes, to generate information-rich individual and group mobility profiles and to couple this with the use of a targeted incentivised marketplace to gamify travel. This helps to promote mobility shifts towards achieving sustainability goals. This system was trialled in three European country cities operated as Living Labs over six months. Our main findings were that we were able to accomplish a level of behavioural shifts in travel behaviour. Hence, we have provided a proof-of-concept system that uses positive incentives to change individual travel behaviour.

No MeSH data available.