Faculty of IT and Modern Technologies, WSB Merito University in Gdansk, Gdansk, Poland.
Faculty of Economics, University of Gdansk, Sopot, Poland.
PLoS One. 2023 Sep 8;18(9):e0289915. doi: 10.1371/journal.pone.0289915. eCollection 2023.
Active transportation referring to non-motorized modes of transport is promoted and popularized both in practice and in the scientific literature, while their use for urban freight transport has been largely neglected. Thus the main scope of the paper is to indicate the development potential of micromobility use in urban freight transport and to check its influence on urban sustainability.
The authors have hypothesized that active means of transport, with a focus on micromobility, have great development potential in freight transportation in cities. The implemented methods for analyzing the relationship between users' characteristics, micromobility, and its impact on urban sustainable development, were logit and probit modelling. The authors' system includes an analysis of factors connected with the topics of sustainability and micromobilty, that have met an essential scientific gap that this paper addresses. Logistic (logit) regression is used mainly for binary, ordinal, and multi-level outcomes to find the probability of success (i.e. occurrence of some event). Probit regression, however, is primarily used in binary response models and assumes the normal distribution of data.
The main finding of the article has led the authors to the statement that active means of transport, including micromobility have great development potential in freight transportation in cities.
Knowledge of the acceptance of micromobility solutions is essential for municipal authorities in shaping the development of urban transport systems. Thus proper strategies and actions need to be prioritized to leverage the sustainability-related co-benefits of active transport.
积极的交通方式是指非机动化的交通方式,无论是在实践中还是在科学文献中都得到了推广和普及,而其在城市货运中的应用却在很大程度上被忽视了。因此,本文的主要范围是指出微移动性在城市货运中的发展潜力,并检验其对城市可持续性的影响。
作者假设积极的交通方式,重点是微移动性,在城市货运中有很大的发展潜力。为分析用户特征、微移动性及其对城市可持续发展的影响之间的关系,作者采用了对数和概率回归模型。作者的系统包括对与可持续性和微移动性主题相关的因素的分析,这些因素填补了本研究的重要科学空白。逻辑(对数)回归主要用于二项、有序和多级结果,以发现成功的概率(即某些事件的发生)。然而,概率回归主要用于二项响应模型,并假设数据服从正态分布。
本文的主要发现使作者得出结论,即积极的交通方式,包括微移动性,在城市货运中有很大的发展潜力。
了解微移动性解决方案的接受程度对于市政当局塑造城市交通系统的发展至关重要。因此,需要优先制定适当的战略和行动,以利用积极交通的与可持续性相关的共同效益。