Comparing the vibrational behavior of e-kick scooters and ebikes:Evidence from Italy  

作　　者：Roberto Ventura Andrea Ghirardi David Vetturi Giulio Maternini Benedetto Barabino 

机构地区：[1]Department of Civil,Environment,Land and Architecture Engineering and Mathematics(DICATAM),University of Brescia,Brescia 25123,Italy [2]Department of Mechanical and Industrial Engineering(DIMI),University of Brescia,Brescia 25123,Italy

出　　处：《International Journal of Transportation Science and Technology》2024年第4期68-86,共19页交通科学与技术(英文)

基　　金：funded by POR FESR Lombardia 2014-2020(project:MoSoRe)and Polis Lombardia with the project“Studi a sostegno delle attivitàdel Centro Regionale di Governo e Monitoraggio della Sicurezza Stradale(CMRL)”,code 221313OSS;the time this article was revised;supported by the Department of Civil,Environmental,Land,and Architecture Engineering and Mathematics(DICATAM)of the University of Brescia through a research grant(CUP code:D73C22000770002).

摘　　要：E-kick scooters are currently among the most popular emerging electric-powered personal micro-mobility vehicles(e-PMVs),and have recently been equated to e-bikes.However,even if the dynamic behavior of e-bikes is well studied,much less has been done to understand the behavior of e-kick scooters.Furthermore,comparisons between the two vehicles have rarely been investigated and only based on mechanical models.This study addresses this gap by proposing a novel framework that evaluates the vibrational behaviors of both vehicles when driven by different users and exposed to the pavement irregularities,using both real and simulated data.The experimental data are collected equipping an e-kick scooter and an e-bike with inertial measurement units(IMUs),and then processed by the ISO 2631-1 method to obtain an objective evaluation of the comfort.Next,the experimental data are expanded to include uncertainty applying a Monte Carlo simulation based on a two-layer feed-forward artificial neural network(ANN).Afterwards,several statistical analyses are performed to understand the key factors affecting the vibrational magnitude(and their extent)for each vehicle.This framework was tested in an Italian city(Brescia)along urban paths with five different pavement surfaces.The results showed that the ekick scooter appears to be globally more solicited than the e-bike in terms of vibrational magnitude.Moreover,the pavement surface,sensor position,user gender,user height,and travel speed are identified as crucial factors explaining the vibrational magnitude for both vehicles.The overall findings challenge the recent European regulations that equated e-kick scooters with bikes.These findings can assist public administrations in planning the urban circulation of e-bikes and e-kick scooters,and suggest that manufacturers incorporate shock absorbers into e-kick scooter designs to enhance rider comfort.

关 键 词：E-kick scooters vibrational behavior E-bike vibrational behavior Artificial neural network(ANN) Monte Carlo simulation Soft mobility 

分 类 号：O56[理学—原子与分子物理]