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首页> 外文期刊>Transportation planning and technology >Exploring gendered cycling behaviours within a large-scale behavioural data-set
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Exploring gendered cycling behaviours within a large-scale behavioural data-set

机译：在大规模行为数据集中探索性别自行车行为

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Analysing over 10 million journeys made by members of London's Cycle Hire Scheme, we find that female customers' usage characteristics are demonstrably different from those of male customers. Usage at weekends and within London's parks characterises women's journeys, whereas for men, a commuting function is more clearly identified. Some of these variations are explained by geo-demographic differences and by an atypical period of usage during the first three months after the scheme's launch. Controlling for each of these variables brings some convergence between men and women. However, many differences are preserved. Studying the spatio-temporal context under which journeys are made, we find that women's journeys are highly spatially structured. Even when making utilitarian cycle trips, routes that involve large, multi-lane roads are comparatively rare, and instead female cyclists preferentially select areas of the city associated with slower traffic streets and with cycle routes slightly offset from major roads.
机译：通过分析伦敦自行车租赁计划成员的一千万次旅行，我们发现女性顾客的使用特征明显不同于男性顾客。周末和伦敦公园内的使用是女性出行的特征，而对于男性来说，通勤功能更加清晰。其中一些变化是由地理人口差异和该计划启动后的前三个月的非典型使用期造成的。控制这些变量中的每一个都会在男人和女人之间带来一些融合。但是，保留了许多差异。研究旅行的时空背景，我们发现妇女的旅行是高度空间结构的。即使在进行实用自行车旅行时，涉及多条多车道的大路也很少见，相反，女性骑自行车的人优先选择城市中与慢速行驶的街道相关的区域，并且自行车道与主要道路略有偏离。

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