Evidence map›Paper›PMID 32987877›Full record

ArticleInternational journal of environmental research and public health2020

An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability.

Bernd Resch, Inga Puetz, Matthias Bluemke, Kalliopi Kyriakou, Jakob Miksch

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
9.7field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
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  5. Two-StepInternational journal of environmental research and public health · 2022
    Article
  6. Article
  7. Review
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  10. Article
  11. The Study of Walking, Walkability and Wellbeing in Immersive Virtual Environments.International journal of environmental research and public health · 2021
    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

5 authors at 3 institutions in 3 countries.

Bernd ReschDepartment of Geoinformatics-Z_GIS, University of Salzburg, 5020 Salzburg, Austria.ORCID 0000-0002-2233-6926
Inga PuetzDepartment of Geoinformatics-Z_GIS, University of Salzburg, 5020 Salzburg, Austria.
Matthias BluemkeGESIS-Leibniz Institute for the Social Sciences, 68159 Mannheim, Germany.ORCID 0000-0003-1493-7462
Kalliopi KyriakouDepartment of Geoinformatics-Z_GIS, University of Salzburg, 5020 Salzburg, Austria.ORCID 0000-0002-9387-852X
Jakob MikschDepartment of Geoinformatics-Z_GIS, University of Salzburg, 5020 Salzburg, Austria.
University of Salzburg · ATGESIS - Leibniz-Institute for the Social Sciences · DEHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human-centered approaches are of particular importance when analyzing urban spaces in technology-driven fields, because understanding how people perceive and react to their environments depends on several dynamic and static factors, such as traffic volume, noise, safety, urban configuration, and greenness. Analyzing and interpreting emotions against the background of environmental information can provide insights into the spatial and temporal properties of urban spaces and their influence on citizens, such as urban walkability and bikeability. In this study, we present a comprehensive mixed-methods approach to geospatial analysis that utilizes wearable sensor technology for emotion detection and combines information from sources that correct or complement each other. This includes objective data from wearable physiological sensors combined with an eDiary app, first-person perspective videos from a chest-mounted camera, and georeferenced interviews, and post-hoc surveys. Across two studies, we identified and geolocated pedestrians' and cyclists' moments of stress and relaxation in the city centers of Salzburg and Cologne. Despite open methodological questions, we conclude that mapping wearable sensor data, complemented with other sources of information-all of which are indispensable for evidence-based urban planning-offering tremendous potential for gaining useful insights into urban spaces and their impact on citizens.

Indexed as

BicyclingEnvironment DesignPedestriansWalkingCitiesCity PlanningHumansSurveys and Questionnairesgeospatial analysismixed-method approachesqualitative questionnairesreal-time perceptionsurban spaceswearable physiological sensors

Identifiers

PMID32987877
PMCPMC7579167
OpenAlexW3088514172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.