Evidence map›Paper›PMID 32981976›Full record

ArticleTechnological forecasting and social change2020

Is there enough trust for the smart city? exploring acceptance for use of mobile phone data in oslo and tallinn.

Dr Tom Erik Julsrud, Dr Julie Runde Krogstad

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Dr Tom Erik JulsrudSenior Researcher, Center for International Climate Research (CICERO), Norway.
Dr Julie Runde KrogstadSenior Researcher, Institute of Transport Economics (TØI), Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are high hopes that a development towards smarter urban environments, backed up by various big data sources, can help solve many of the challenges facing today's large cities related to providing security, mitigating environmental damages, improving services and upscaling innovative and entrepreneurial activities. This study explores the acceptance of use of

Indexed as

Big dataMobile phone dataSmart citiesTrustTrust cultures

Identifiers

PMID32981976
PMCPMC7501060

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.