Drivers and barriers to integrating shared micromobility with public transport A latent class clustering analysis of adoption attitudes in the Netherlands

Nejc Geržinič , Mark van Hagen , Hussein Al-Tamimi , Niels van Oort , Dorine Duives
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Abstract

Shared micromobility (SMM), including bicycles, e-bikes, scooters, etc., is often cited as a solution to the first and especially the last mile problem of public transport (PT), yet when implemented, they often do not get adopted by a broader travelling public. As behavioural adaption is largely related to peoples’ attitudes and perceptions, we develop a behavioural framework based on the UTAUT2 framework to gain better understanding why individuals may (not) be willing to use SMM. Through an exploratory factor analysis (EFA) and a latent class cluster analysis (LCCA), we study the adoption potential of SMM and assess drivers and barriers as perceived by different user groups. Our findings uncover six user groups; Shared mobility positives, Car-oriented sharing neutrals, Older apprehensive sharers, Young eager adopters, (Shared) Mobility avoiders and Skilled sharing sceptics. The Young eager adopters and Shared mobility positives tend to be the most open to adopting SMM and able to do so. Older apprehensive sharers would like to, but find it difficult or dangerous to use, while Skilled sharing sceptics are capable and confident, but have limited intention of using it. Car-oriented sharing neutrals and (Shared) Mobility avoiders are most negative about SMM, finding it difficult to use and dangerous. Factors relating to technological savviness, ease-of-use, physical safety and societal perception seem to be the strongest adoption predictors. Younger, high-educated males are the group most likely and open to using SMM, while older individuals with lower incomes and a lower level of education tend to be the least likely.
将共享微交通与公共交通整合的驱动因素和障碍:荷兰采用态度的潜在类聚类分析
共享微型交通(SMM),包括自行车、电动自行车、踏板车等,通常被认为是解决公共交通(PT)第一英里,特别是最后一英里问题的解决方案,然而,当实施时,它们通常不会被更广泛的出行公众所采用。由于行为适应在很大程度上与人们的态度和看法有关,我们基于UTAUT2框架开发了一个行为框架,以更好地理解个人可能(不)愿意使用SMM的原因。通过探索性因子分析(EFA)和潜在类聚类分析(LCCA),我们研究了SMM的采用潜力,并评估了不同用户群体感知的驱动因素和障碍。我们的发现揭示了六个用户群体;共享出行的积极者,以汽车为导向的共享中立者,年长的忧虑型共享者,年轻的渴望接受者,(共享)出行回避者和熟练的共享怀疑论者。年轻的积极采用者和共享出行的积极分子倾向于最开放地采用SMM,并且能够这样做。年长的担心分享者想要使用,但发现使用起来困难或危险,而熟练的分享怀疑论者有能力和信心,但使用它的意图有限。以汽车为导向的共享中立者和(共享)移动回避者对SMM最持负面态度,认为它难以使用且危险。与技术熟练度、易用性、人身安全和社会认知相关的因素似乎是最有力的采用预测因素。年轻、受过高等教育的男性是最有可能和最愿意使用SMM的群体,而收入较低、受教育程度较低的老年人往往最不可能使用SMM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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