Evidence map›Paper›PMID 34450772›Full record

ArticleSensors (Basel, Switzerland)2021

Towards Smart City Governance. Case Study: Improving the Interpretation of Quantitative Traffic Measurement Data through Citizen Participation.

David Fonseca, Monica Sanchez-Sepulveda, Silvia Necchi, Enric Peña

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

David FonsecaDepartment of Architecture, Universitat Ramon Llull (URL), La Salle, 08022 Barcelona, Spain.ORCID 0000-0001-9471-153X
Monica Sanchez-SepulvedaDepartment of Architecture, Universitat Ramon Llull (URL), La Salle, 08022 Barcelona, Spain.ORCID 0000-0002-4512-941X
Silvia NecchiDepartment of Architecture, Universitat Ramon Llull (URL), La Salle, 08022 Barcelona, Spain.ORCID 0000-0003-2937-5546
Enric PeñaDepartment of Architecture, Universitat Ramon Llull (URL), La Salle, 08022 Barcelona, Spain.

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España BIA2016-77464-C2-2-R
6 · The paper itself

Abstract

Citizens play a core role in sustainable cities as users of the services delivered by cities and as active participants in initiatives aimed at making cities more sustainable. This paper considers the role of citizens as information providers and discusses the conditions under which citizens can participate in the development of sustainable cities. The objective of this study is to document the sustainability of an urban transit system and evaluate its compliance, with citizen participation as a major contributor. The methodology used is intensive field visits, interviews, and a mixed analysis of Sant Andreu de Palomar District in Barcelona city. The circulating vehicles are quantitatively monitored, qualitative problems are detected, and the typology of vehicles and other aspects identified and detailed in the study are indicated. All this information is contrasted with that of the technological sensors in the sectors. The results indicate that vehicles in the current pattern of urban density planned under incorrect sensor operation influence sustainable behavior through agglomerative clustering. This paper provides recommendations for future urban sustainability assessment research, including the employment of mixed-methods research, among other strategies. This article is intended to assist policymakers and traffic engineers in evaluating the sustainability of urban transportation infrastructure projects considering citizens as sensors.

Indexed as

Sustainable GrowthTransportationCitiesHumansmixed methodparticipatory processesquantitative and qualitative datatraffic flowtraffic sensorstransport systemurban sustainability

Identifiers

PMID34450772
PMCPMC8400410

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.