Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 285

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

Neighbourhood walkability: A review and bibliometric analysis

Wang, Hao, Yang, Yuqi·2019·Cities

Abstract

Abstract Walkability is defined as the extent to which the built environment is friendly to people who walk, which benefits the health of residents and increases the liveability of cities, and studies of walkability have increasingly attracted the attention of researchers worldwide. To provide a roadmap for research on neighbourhood/community walkability, this paper critically reviews the literature on neighbourhood/community walkability studies using geographical information systems (GIS), which is an objective tool universally used in this area. The literature review covers 136 papers that were published between 2008 and 2018 and retrieved from the Web of Science Core Collection database. Firstly, a bibliometric analysis is conducted to give a general view of recent studies. Secondly, a detailed critical review is performed from three major perspectives concerning neighbourhood walkability, namely, walkability measurements, the built environment and health, and the applications of walkability. Finally, research trends and future directions are discussed. The implications include: (a) factors affecting walkability and their interactions should be investigated; (b) more accurate data need to be available for the measurement of walkability; (c) relevant research in the contexts of different countries could be expanded and compared; (d) the application of walkability could be developed in terms of depth and width.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cities.2019.04.015

Cites

95 of 95 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 95 references

Cited by

See all 285

Metadata

Authors
Wang, H., & Yang, Y.
Venue
Cities
Publisher
Elsevier BV
Published
2019-10
Volume
93
Pages
43-61
ISSN
0264-2751 (ISSN-L)
OpenAlex
W2943541748
Cited by
285
References
95
FWCI
24.81
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Neighbourhood walkability: A review and bibliometric analysis. https://app.cochat.ai/papers/10.1016/j.cities.2019.04.015
The paper
Wang, H., & Yang, Y. (2019). Neighbourhood walkability: A review and bibliometric analysis. Cities. https://doi.org/10.1016/j.cities.2019.04.015

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.