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Journal Article

Citation

Antón-González L, Pans M, Devís-Devís J, Gonzalez LM. J. Transp. Health 2023; 32: e101651.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.jth.2023.101651

PMID

unavailable

Abstract

Introduction
Urban transport has been dealing with traffic congestion, motorised transportation, and the huge amount of urban pollution, becoming a public health problem. Recently, cycling in urban environments has been proposed to address these problems.

Methods
This paper provides the first text-based analysis of documents included in the Scopus database related to cycling in urban environments, as it facilitates the extraction of useful knowledge for urban transport problems solving and decision making. Titles, abstracts and author keywords were analysed, resulting in 7,743 documents.

Results
The results showed 5,678 (unique) words, with "system", "model", "traffic", "public" and "travel" as the most important terms (excluding search keywords). "Physical activity" and "bike sharing system" were the most repeated bigram and trigram, respectively. Analysis of the 15 identified topics resulted in selecting the following important ones: smart urban mobility, bike sharing stations, cycling infrastructure, bicycle traffic, cycling as urban transport, and bicycling behaviour.

Conclusions
These topics indicate the interest in the structural factors of cycling in urban environments to promote cycling by offering facilities to users. However, the health benefits of cycling were found to be secondary. This study provides a useful overview to guide future research and support policies that encourage the use of active urban transport.


Language: en

Keywords

Bicycle; Latent dirichlet allocation (LDA); Text mining; Urban mobility; Urban transport

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