Scipediacontent: Scipediacontent moved page Draft Content 993825624 to Jokinen et al 2016a

2021-02-16T09:22:36Z

Scipediacontent moved page Draft Content 993825624 to Jokinen et al 2016a

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2021-02-16T09:22:33Z

Created page with " == Abstract == Traffic and transportation are ongoing digitalisation. Travellers always carry smartphones everywhere they go. Smartphone-based crowdsensing can be used to..."

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== Abstract ==

Traffic and transportation are ongoing digitalisation. Travellers always carry smartphones everywhere they go. Smartphone-based crowdsensing can be used to collect and aggregate traffic information for services that contribute to smoother and more sustainable transportation and traffic — but only if the business model is profitable in the long-term. We analyse two existing crowdsensing services in traffic and transportation context (Waze, Moovit) and one being developed (TrafficSense) using findings from business model (two-sided markets; data use), crowdsensing (technical overview, participant incentives), and transportation (efficiency, sustainable urban transportation) literature. Waze may alleviate traffic congestion by helping its millions of users to avoid traffic jams. Moovit makes public transport more attractive by making it easier and smoother to use for travellers. TrafficSense service is developed in a research project. It uses crowdsensing to learn regular, multimodal routes of travellers. The information can be used to predict the general traffic and congestion levels based on the predicted intents of the crowd of travellers. Our contribution is to combine distinct but complementary viewpoints from two-sided markets, business models, crowdsensing, and transportation research to analyse the potential business and sustainability impacts of the emerging crowdsensing-based smart transportation services.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.rtbm.2016.03.006 http://dx.doi.org/10.1016/j.rtbm.2016.03.006]

* [http://juuli.fi/Record/0274802316 http://juuli.fi/Record/0274802316],
: [http://dx.doi.org/10.1016/j.rtbm.2016.03.006 http://dx.doi.org/10.1016/j.rtbm.2016.03.006]

* [https://api.elsevier.com/content/article/PII:S2210539516300116?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S2210539516300116?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S2210539516300116?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S2210539516300116?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.rtbm.2016.03.006 http://dx.doi.org/10.1016/j.rtbm.2016.03.006] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://www.sciencedirect.com/science/article/pii/S2210539516300116 https://www.sciencedirect.com/science/article/pii/S2210539516300116],
: [https://research.aalto.fi/en/publications/crowdsensingbased-transportation-services--an-analysis-from-business-model-and-sustainability-viewpoints(4688e3d8-a80c-4a62-bfc2-8984e9f6f4b0).html https://research.aalto.fi/en/publications/crowdsensingbased-transportation-services--an-analysis-from-business-model-and-sustainability-viewpoints(4688e3d8-a80c-4a62-bfc2-8984e9f6f4b0).html],
: [https://trid.trb.org/view/1405514 https://trid.trb.org/view/1405514],
: [https://academic.microsoft.com/#/detail/2308912601 https://academic.microsoft.com/#/detail/2308912601]

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Jokinen et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 993825624 to Jokinen et al 2016a

Scipediacontent: Created page with " == Abstract == Traffic and transportation are ongoing digitalisation. Travellers always carry smartphones everywhere they go. Smartphone-based crowdsensing can be used to..."