Evidence map›Paper›PMID 41095009›Full record

ArticleSensors (Basel, Switzerland)2025

Network-Wide GIS Mapping of Cycling Vibration Comfort: From Methodology to Real-World Implementation.

Jie Gao, Xixian Wu, Zijie Xie, Liang Song, Shandong Fang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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.

Jie GaoSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China.
Xixian WuCollege of Civil Engineering and Architecture, Xinjiang University, Urumqi 830017, China.
Zijie XieSchool of Ecology and Environment, Xinjiang University, Urumqi 830017, China.
Liang SongSchool of Traffic and Transportation Engineering, Xinjiang University, Urumqi 830017, China.
Shandong FangSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China.

Funding

National Natural Science Foundation of China 52268068Natural Science Foundation of Jiangxi Province 20232BAB204085Tianshan Leading Talents in Scientific and Technological Innovation 2022TSYCLJ0045
6 · The paper itself

Abstract

Cycling-induced vibration significantly affects riding comfort, with road surface conditions and vehicle type identified as primary contributing factors. This study developed a vibration measurement system based on ISO 2631-1, and proposed a method for generating cycling comfort maps grounded in vibration severity levels. Field measurements on 30 campus roads in Nanchang, China, used a Mountain Bike, Shared E-bike, and Shared Bicycle. Triaxial acceleration data were collected to evaluate vibration exposure, and comfort levels were classified to produce spatially resolved maps. Results show the proposed system has strong stability and adaptability across urban environments. The maps effectively captured vibration intensity variations along road segments. Among the three vehicle types, Mountain Bikes showed the lowest vibration exposure, with approximately 90% of segments rated as comfortable. Shared E-bike exhibited moderate vibration levels, with 42% of segments deemed uncomfortable, while Shared Bicycles experienced the highest vibration, with 80% of routes potentially inducing discomfort and only 1% meeting comfort standards. This study offers a framework for objective acquisition and visualization of cycling vibration data. The developed system and mapping method provide tools for assessing vehicle vibration, guiding route selection, and offer potential value for road quality monitoring.

Indexed as

comfort evaluationcycling comfort mapcycling-induced vibrationvibration measurement

Identifiers

PMID41095009
PMCPMC12526540

What OpenQuestion holds

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LicenceCC BY
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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.