Evidence map›Paper›PMID 28587186›Full record

ArticleInternational journal of environmental research and public health2017

Measuring Neighborhood Walkable Environments: A Comparison of Three Approaches.

Yen-Cheng Chiang, William Sullivan, Linda Larsen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. 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
6.8field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Examining the Walking Accessibility, Willingness, and Travel Conditions of Residents in Saudi Cities.International journal of environmental research and public health · 2019
    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

3 authors at 2 institutions in 2 countries.

Yen-Cheng ChiangDepartment of Landscape Architecture, National Chiayi University, Chiayi 60004, Taiwan. ycchiang@mail.ncyu.edu.tw.
William SullivanDepartment of Landscape Architecture, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA. wcsulliv@Illinois.edu.
Linda LarsenDepartment of Rhetoric and Composition Studies, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. lflarsen@illinois.edu.
University of Illinois Urbana-Champaign · USNational Chiayi University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple studies have revealed the impact of walkable environments on physical activity. Scholars attach considerable importance to leisure and health-related walking. Recent studies have used Google Street View as an instrument to assess city streets and walkable environments; however, no study has compared the validity of Google Street View assessments of walkable environment attributes to assessments made by local residents and compiled from field visits. In this study, we involved nearby residents and compared the extent to which Google Street View assessments of the walkable environment correlated with assessments from local residents and with field visits. We determined the assessment approaches (local resident or field visit assessments) that exhibited the highest agreement with Google Street View. One city with relatively high-quality walkable environments and one city with relatively low-quality walkable environments were examined, and three neighborhoods from each city were surveyed. Participants in each neighborhood used one of three approaches to assess the walkability of the environment: 15 local residents assessed the environment using a map, 15 participants made a field visit to assess the environment, and 15 participants used Google Street View to assess the environment, yielding a total of 90 valid samples for the two cities. Findings revealed that the three approaches to assessing neighborhood walkability were highly correlated for traffic safety, aesthetics, sidewalk quality, and physical barriers. Compared with assessments from participants making field visits, assessments by local residents were more highly correlated with Google Street View assessments. Google Street View provides a more convenient, low-cost, efficient, and safe approach to assess neighborhood walkability. The results of this study may facilitate future large-scale walkable environment surveys, effectively reduce expenses, and improve survey efficiency.

Indexed as

CitiesEnvironment DesignResidence CharacteristicsWalkingAdultExerciseFemaleHumansMaleMiddle AgedSurveys and Questionnairesneighborhood environmenturban designvirtual assessmentwalkabilitywalking

Identifiers

PMID28587186
PMCPMC5486279
OpenAlexW2621355997

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.