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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.


Incentive registration.
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License
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sensors-15-13069-f006: Incentive registration.

Mentions: An example of an incentive configured by a LLc and registered in the CD is shown in Figure 6, This follows the incentive structure shown in Figure 5. After registration, an incentive can also be modified by a LLc. A LLc can visit the incentive monitoring page to see all the incentives from the IMP including the ones created by other LLcs. Each incentive in the list is organised following the incentive structure given in Figure 5. LLc can navigate, sort, filter and search through the incentive list. To monitor incentive issuing to users, there is a “Check” button to check how many users are notified by each incentive. The feedback page is provided once a user clicks an appropriate button. To monitor users’ response after they have been notified of a new incentive becoming available, the CD provides functionality to check how many users confirm each incentive after notifications are received. The feedback page is provided once the feedback button is clicked.


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)

Incentive registration.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-13069-f006: Incentive registration.
Mentions: An example of an incentive configured by a LLc and registered in the CD is shown in Figure 6, This follows the incentive structure shown in Figure 5. After registration, an incentive can also be modified by a LLc. A LLc can visit the incentive monitoring page to see all the incentives from the IMP including the ones created by other LLcs. Each incentive in the list is organised following the incentive structure given in Figure 5. LLc can navigate, sort, filter and search through the incentive list. To monitor incentive issuing to users, there is a “Check” button to check how many users are notified by each incentive. The feedback page is provided once a user clicks an appropriate button. To monitor users’ response after they have been notified of a new incentive becoming available, the CD provides functionality to check how many users confirm each incentive after notifications are received. The feedback page is provided once the feedback button is clicked.

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.