Evidence map›Paper›PMID 39250487›Full record

ArticlePloS one2024

Factors related to the intention of choosing shared E-scooters for metro transfer: A survey study integrating weather perception into satisfaction evaluation from Changsha.

Chenyue Lin, Xingjian Xue, Zhixuan Zhu, Yue Luo, Rui Song

Abstract read
In one paragraph

Article in PloS one, 2024. 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

5 authors.

Chenyue LinHunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Central South University of Forestry and Technology, Changsha, Hunan, China.
Xingjian XueHunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Central South University of Forestry and Technology, Changsha, Hunan, China.ORCID 0000-0003-4704-4927
Zhixuan ZhuHunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Central South University of Forestry and Technology, Changsha, Hunan, China.
Yue LuoHunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Central South University of Forestry and Technology, Changsha, Hunan, China.
Rui SongCollege of Logistics and Transportation, Central South University of Forestry and Technology, Changsha, Hunan, China.ORCID 0000-0002-1635-970X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shared E-scooter (SE) travel is a low-carbon transportation method that can be further enhanced by integrating with metro systems. This study aims to quantify the impact of the built environment, attitude preferences, weather perception, and other factors on the evaluation and intention to use the "SE-metro transfer" travel mode, as well as how to efficiently and concisely measure and model these effects. Empirical analysis was conducted using questionnaire data from Changsha, China, with 683 participants surveyed. Three satisfaction models were established and compared based on the Technology Acceptance Model (TAM), and an optimal M2 model was expanded to incorporate users' subjective perceptions of weather, proposing a method to simplify questionnaire length. The study found that well-designed vehicles and infrastructure, along with necessary supporting facilities, play important roles in enhancing SE usage. However, there are still many areas for optimization in Changsha's SE policies. Despite the advantages of SE in terrain and physical fitness, which have significantly expanded and changed their user base compared to traditional shared bicycles, there is still much potential to adapt to the middle-aged and older user groups. The results of this study can provide valuable insights for professionals and government officials in designing systems, constructing infrastructure, and formulating policies.

Indexed as

TransportationWeatherAdultAgedBuilt EnvironmentChinaFemaleHumansIntentionMaleMiddle AgedPerceptionSurveys and QuestionnairesYoung Adult

Identifiers

PMID39250487
PMCPMC11383246

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.