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Intra-Urban Rail ‘Access’: Policy Implications of Five Revealed Perspectives from a Q Sorting Exercise in Three Australian Cities

机译:城内铁路“通道”:来自澳大利亚三个城市的Q排序演习中五个揭示视角的政策含义

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This project advances current understanding of intra-urban rail passengers and their travel experiences inorder to help rail industry leaders tailor policy approaches to fit specific, relevant segments of their targetpopulation. Using a Q sorting technique and cluster analysis, our preliminary research identified fiveperspectives occurring in a small sample of rail passengers, who varied in their frequency and location ofrail travel as well as certain socio-demographic characteristics. Revealed perspectives (named to capturethe gist of their content) included: ‘Rail Travel is About the Destination, Not the Journey’; ‘DespiteChallenges, Public Transport is Still the Best Option’; ‘Rail Travel is Fine’; ‘Rail Travel? So Far, SoGood’; and ‘Bad Taste for Rail Travel’. This paper discusses each of the perspectives in detail, andconsiders them in terms of tailored policy implications. An overarching finding from this study is thatimproving railway travel ‘access’ requires attention to physical, psychological, financial, and social facetsof accessibility. For example, designing waiting areas to be more socially functional and comfortable hasthe potential to increase ridership by addressing social forms of access, decreasing perceived wait times,and making time at the station feel like time well spent. Even at this preliminary stage, the Q sortingtechnique promises to provide a valuable, holistic albeit fine-grained analysis of passenger attitudes andexperiences that will assist industry efforts to increase ridership.
机译:该项目提高了当前对城市内铁路乘客的了解以及他们在城市中的旅行经验。 为了帮助铁路行业的领导者量身定制政策方法,以适应其目标的特定相关部分 人口。使用Q排序技术和聚类分析,我们的初步研究确定了五个 一小部分铁路乘客的观点,他们的发生频率和位置各不相同 铁路旅行以及某些社会人口特征。揭示的观点(命名为捕获 其内容的要点)包括:“铁路旅行是关于目的地,而不是旅程”; '尽管 挑战,公共交通仍是最佳选择”。 ‘铁路旅行很好’; '铁路旅行?到目前为止,如此 好的';和“铁路旅行的不良品味”。本文详细讨论了每种观点,并且 根据量身定制的政策含义来考虑它们。这项研究的主要发现是 改善铁路旅行的“通行性”需要注意身体,心理,财务和社会方面 可访问性。例如,将等候区设计为更具社会功能和舒适感的做法 通过解决社交访问形式,减少感知的等待时间来增加乘车人数的潜力, 并让在站上花费时间的感觉就像是度过了美好的时光。即使在这个初步阶段,Q排序 该技术有望提供有价值的整体信息,尽管可以对乘客的态度和行为进行细粒度的分析。 有助于行业增加乘车人数的经验。

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