地中海国家大学校园移动方式的用户感知、问题及有效措施

Vasilia klimi
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摘要

大学校园是城市景观的微观世界,是实施和评估有关公共交通和多式联运的新型交通政策的绝佳试验台。然而,现实表明,校园内实施的交通工具和政策并不总是有效的,也不符合教师、学生和工作人员的需求。本文的目的是开发两个多元结构方程模型,以确定基于用户对移动模式的感知和其他几个参数的最有效措施,包括校园所在区域类型(内部/外部)和人口特征(性别,隶属关系,年龄组,居住地,年收入等)。数据来自在七所大学校园进行的问卷调查。为了有效地表示问题与相关措施之间的相互作用,开发了两个潜在变量,描述用户对移动性问题的感知以及增强移动性所需的措施。结果表明,在城市内的校园中,增强流动性所需的感知措施与用户对校园可达性、用户性别和两种交通方式相关的现有流动性问题的感知相关。对于位于市区以外的校园,指示性结果包括用户的年收入影响乘用车的使用,出行时间影响步行和骑摩托车,骑自行车受年龄影响,而公共交通的使用与出行时间和年收入相关。
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On User Perception of Mobility Patterns, Problems and Efficient Measures for University Campuses in Mediterranean Countries
University campuses are a microcosmos of the urban landscape and an excellent testbed for implementing and evaluating novel mobility policies regarding public transport and multimodality. Nevertheless, reality shows that the mobility tools and policies implemented on campuses are not always efficient, nor consistent with the needs of the faculty, students, and staff. The objective of this paper is to develop two multivariate structural equation models to identify the most efficient measures based on user perception of mobility patterns and several other parameters including the type of area in which the campus is located (inside/outside) and the demographic characteristics (gender, affiliation, age group, residence, yearly income etc.). Data comes from a questionnaire survey that took place in seven University Campuses. In order to efficiently represent the interactions between the problems and the relevant measures, two latent variables have been developed describing the perception of users for mobility problems, as well as measures needed to enhance mobility. Results indicate that in campuses located inside urban areas the perceived measures needed to enhance mobility are correlated with the perception of users for existing mobility problems in relation to the accessibility of campus, the gender of the user and two transport modes. Regarding campuses located outside urban areas indicative results include that the yearly income of the user affects the use of passenger cars, that trip duration affects walking and motorcycling, and that cycling is affected by age whereas the use of public transport is correlated with the duration of the trip and the yearly income.
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