Evidence map›Paper›PMID 27399700›Full record

ArticleSensors (Basel, Switzerland)2016

Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior.

Ivana Semanjski, Angel Javier Lopez Aguirre, Johan De Mol, Sidharta Gautama

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ivana SemanjskiDepartment of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium. ivana.semanjski@ugent.be.
Angel Javier Lopez AguirreDepartment of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium. angel.lopez@ugent.be.
Johan De MolDepartment of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium. johan.demol@ugent.be.
Sidharta GautamaDepartment of Telecommunications and Information Processing, Ghent University, St-Pietersnieuwstraat 41, Ghent B-9000, Belgium. sidharta.gautama@ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable mobility and smart mobility management play important roles in achieving smart cities' goals. In this context we investigate the role of smartphones as mobility behavior sensors and evaluate the responsivity of different attitudinal profiles towards personalized route suggestion incentives delivered via mobile phones. The empirical results are based on mobile sensed data collected from more than 3400 people's real life over a period of six months. The findings show which user profiles are most likely to accept such incentives and how likely they are to result in more sustainable mode choices. In addition we provide insights into tendencies towards accepting more sustainable route options for different trip purposes and illustrate smart city platform potential (for collection of mobility behavior data and delivery of incentives) as a tool for development of personalized mobility management campaigns and policies.

Indexed as

mode shift incentivePolicy 2.0 platformsmart citiessmartphone mobility applicationssustainable mobilitytravel behavior

Identifiers

PMID27399700
PMCPMC4970084

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.