Evidence map›Paper›PMID 36498117›Full record

ArticleInternational journal of environmental research and public health2022

Exploring the Nonlinear and Threshold Effects of Travel Distance on the Travel Mode Choice across Different Groups: An Empirical Study of Guiyang, China.

Mingwei He, Jianbo Li, Zhuangbin Shi, Yang Liu, Chunyan Shuai, Jie Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Mingwei HeFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China.
Jianbo LiFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China.
Zhuangbin ShiFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China.ORCID 0000-0002-4379-7203
Yang LiuFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China.
Chunyan ShuaiFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China.
Jie LiuFaculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China.

Funding

National Natural Science Foundation of China 52102378National Natural Science Foundation of China 71861017Science and Technology Project of Guizhou Provincial Department of Transportation 2022-341-040Yunnan Fundamental Research Projects 202001AT070030Yunnan Fundamental Research Projects 202201AU070148
6 · The paper itself

Abstract

Examining how travel distance is associated with travel mode choice is essential for understanding traveler travel patterns and the potential mechanisms of behavioral changes. Although existing studies have explored the effect of travel distance on travel mode choice, most overlook their non-linear relationship and the heterogeneity between groups. In this study, the correlation between travel distance and travel mode choice is explored by applying the random forest model based on resident travel survey data in Guiyang, China. The results show that travel distance is far more important than other determinants for understanding the mechanism of travel mode choice. Travel distance contributes to 42.28% of explanation power for predicting travel mode choice and even 63.24% for walking. Significant nonlinear associations and threshold effects are found between travel distance and travel mode choice, and such nonlinear associations vary significantly across different socioeconomic groups. Policymakers are recommended to understand the group heterogeneity of travel mode choice behavior and to make targeted interventions for different groups with different travel distances. These results can provide beneficial guidance for optimizing the spatial layout of transportation infrastructure and improving the operational efficiency of low-carbon transportation systems.

Indexed as

TransportationTravelChinaSurveys and QuestionnairesWalkinggroup heterogeneitymode choice behaviornonlinear effectrandom foresttravel distance

Identifiers

PMID36498117
PMCPMC9739783

What OpenQuestion holds

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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.