Analysing the Vibration of Bicycles on Various Road Surfaces in the City of Zilina

Gogola, Marián

doi:10.14669/am.vol88.art6

Cited by 7 publications

(5 citation statements)

References 44 publications

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“…The objective of IPBs is to provide dependable bicycle instrumentation to automate the collection of actual data [60]. The cycling track measurements with IPBs yield a wealth of information, but it can be challenging for other researchers to replicate the findings [25,32]. However, IPBs cannot be installed on numerous bicycles and used for extensive testing under real-world circumstances [60].…”

Section: Literature Reviewmentioning

confidence: 99%

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Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces

et al. 2023

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Vibration from bicycle infrastructure affects the cyclists’ comfort and the choice of this transportation mode. This study uses smart portable bicycle lights to measure the vibration and quantify the level of cycling comfort on cycling infrastructure. A total of 28 bicycle streets and paths were selected in the city of Hasselt, Belgium, as the case study area. Six volunteer cyclists were recruited for the vibration sensitivity test of the device before the actual data collection. The results showed no considerable difference in the vibration recorded separately on each tested bicycle surface. The average vibration values vary from 1 to 17.78, indicating that riding comfort varies significantly across different surfaces. Asphalt and concrete roads had the lowest vibration and were the most comfortable in the study area. In contrast, cobblestone-paved bike paths were the least comfortable because of higher vibration. A comfort level map was developed based on the relationship between cycle vibration and subjective perception of comfort level. Twenty cyclists participated in the perception of vibration test. The comfort level is inversely correlated with the vibration. This methodology is adaptable to any other setting. Additionally, practitioners can use it to check and track the quality of the surface of the bicycle infrastructure over time.

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Section: Literature Reviewmentioning

confidence: 99%

“…Cycling comfort is a broad concept, and we can generally categorize cycling comfort analysis from various perspectives (e.g., measuring vibration, emotion, etc.) with information technology [32]. The second example includes a cyclist's study, reflecting on their opinions and feelings or evaluating the ride while cycling [33].…”

Section: Introductionmentioning

confidence: 99%

Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces

et al. 2023

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“…It permits the calculation of the maximum amplitude of irregularities present in the pavement for several wavelengths [17]. Given the comfort results from the implementation of ISO 2631 [14, [18][19][20][21][22][23][24][25][26], threshold curves have been proposed by the authors to classify the irregularities of the surveyed stone pavements varying the reference vehicle (i.e., bicycle, automobile, and bus). The results quantify surface defects and support road manager decisions to implement a pavement management system.…”

Section: Introductionmentioning

confidence: 99%

“…The frequency-weighted vertical accelerations (a wz ) depend on the riding vehicle (or the vehicle mechanical model) and the vehicle speed [29]. This method allows comfort assessment for public transport [18][19][20][21][22][23][24][25][26]. In this paper three different dynamic vehicle models (i.e., bike, automobile, and bus) have been considered and discussed in the first part of this paper to investigate how vehicles affect the perceived comfort under different driving conditions.…”

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confidence: 99%

Methods for Measuring and Assessing Irregularities of Stone Pavements—Part II

et al. 2023

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This two-part manuscript presents a comprehensive methodology for the irregularity assessment of urban stone pavements. The proper road surface assessment using key performance indicators is necessary to plan appropriate maintenance strategies. However, there are no monitoring methods or evaluation criteria for stone pavements whose surfaces are more uneven than traditional ones due to their structural characteristics. Therefore, it is useful to define criteria for assessing irregularities considering the comfort experienced by road users and classify their conditions. This second part presents the geometric and comfort analyses of 40 urban branch profiles to describe pavement unevenness. In particular, four methods have been investigated: the International Roughness Index (IRI) according to ASTM E1926, the surface profile classification according to ISO 8608, the comfort index (awz) according to ISO 2631, and the straightedge analysis for stone pavements (SASP) proposed by the authors that is able to evaluate the effect of localized irregularities, taking into account different urban vehicles. In conclusion, four classes have been defined to describe geometric and comfort conditions that can support road manager decisions in order to implement an effective pavement management system.

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“…Along with other measures, these modes of transport reduce air pollution [2,3]. The integration of the new transport modes can improve the accessibility of public transport and lead to a reduction in private car use [4]. Studying commuting patterns and transfers to public transport is essential to uncovering the full potential of micromobility [5].…”

Section: Introductionmentioning

confidence: 99%

The Micromobility Tendencies of People and Their Transport Behavior

Kalašová,

Čulík

2023

Applied Sciences

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Addressing transport in cities requires a change in people’s behavior and a better distribution of different transport modes’ performances—a change in the modal split. This article focuses on detailed research on the transport behaviors of residents and their attitudes towards possible changes. We developed a questionnaire and distributed it online and physically. The data came from an anonymous survey, and basic statistical methods and a correlation analysis were applied to them. One of the research tasks was to find the correlations between individual characteristics. The analysis showed that the respondents’ education influenced their opinions about transport behavior. The results showed that the most common means of shared mobility was bicycles. The paper contains detailed results regarding the use of private cars and transport behavior in general. In addition, the study presents other significant findings regarding the average number of vehicles in households, the types of vehicles, and their usage patterns. The results of our study are useful for practical applications, because they describe traffic behavior patterns and can improve future decision making and transport planning.

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Analysing the Vibration of Bicycles on Various Road Surfaces in the City of Zilina

Cited by 7 publications

References 44 publications

Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces

Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces

Methods for Measuring and Assessing Irregularities of Stone Pavements—Part II

The Micromobility Tendencies of People and Their Transport Behavior

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