Smart City Gnosys

Smart city article details

Title	Using A Smart City Iot To Incentivise And Target Shifts In Mobility Behaviour-Is It A Piece Of Pie?
ID_Doc	60467
Authors	Poslad, S; Ma, A; Wang, ZC; Mei, HB
Year	2015
Published	SENSORS, 15, 6
DOI	http://dx.doi.org/10.3390/s150613069
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.
Author Keywords	smart cities; intelligent transport system; mobility behaviour; incentives

Similar Articles

Id	Similarity	Authors	Title	Published
58377	0.893	Alam T.; Gupta R.; Ahamed N.N.; Ullah A.; Almaghthwi A.	Towards Sustainable Iot-Based Smart Mobility Systems In Smart Cities	GeoJournal, 89, 6 (2024)
42481	0.884	Moudra K.; Matowicki M.; Pribyl O.; Bruhova Foltynova H.	Potential Of A Travel Mode Change In Smart Cities: A Review	2019 Smart Cities Symposium Prague, SCSP 2019 - Proceedings (2019)
13158	0.883	Meegahapola L.; Kandappu T.; Jayarajah K.; Akoglu L.; Xiang S.; Misra A.	Buscope: Fusing Individual & Aggregated Mobility Behavior For “Live” Smart City Services	MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (2019)
34056	0.881	Mutambik I.	Iot-Enabled Adaptive Traffic Management: A Multiagent Framework For Urban Mobility Optimisation	Sensors, 25, 13 (2025)
51189	0.878	Porru S.; Misso F.E.; Pani F.E.; Repetto C.	Smart Mobility And Public Transport: Opportunities And Challenges In Rural And Urban Areas	Journal of Traffic and Transportation Engineering (English Edition), 7, 1 (2020)
60530	0.877	Manca F.; Daina N.; Sivakumar A.; Yi J.W.X.; Zavistas K.; Gemini G.; Vegetti I.; Dargan L.; Marchet F.	Using Digital Social Market Applications To Incentivise Active Travel: Empirical Analysis Of A Smart City Initiative	Sustainable Cities and Society, 77 (2022)
53990	0.877	Müller-Eie D.; Kosmidis I.	Sustainable Mobility In Smart Cities: A Document Study Of Mobility Initiatives Of Mid-Sized Nordic Smart Cities	European Transport Research Review, 15, 1 (2023)
23072	0.873	Paiva S.; Ahad M.A.; Tripathi G.; Feroz N.; Casalino G.	Enabling Technologies For Urban Smart Mobility: Recent Trends, Opportunities And Challenges	Sensors, 21, 6 (2021)
45946	0.871	Allam Z.; Sharifi A.	Research Structure And Trends Of Smart Urban Mobility	Smart Cities, 5, 2 (2022)
13153	0.87	Nápoles, VMP; Páez, DG; Penelas, JLE; García, GG; Santacruz, MJG	Bus Stops As A Tool For Increasing Social Inclusiveness In Smart Cities	SMART CITIES, ICSC-CITIES 2019, 1152 (2020)