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首页> 外文期刊>International journal of sustainable transportation >Toward sustainable urban mobility: Investigating nonwork travel behavior in a sprawled Canadian city
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Toward sustainable urban mobility: Investigating nonwork travel behavior in a sprawled Canadian city

机译：迈向可持续的城市交通：在一个遍布加拿大的城市中调查非工作旅行行为

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The prevalence of urban sprawl, amplified levels of auto dependency, and nonwork travel during the afternoon peak hours have resulted in a steady increase in unsustainable patterns of travel in Canadian cities. Active and green modes of transportation along with smart growth have been promoted as a panacea. This article investigates the efficacy of such sustainable urban mobility strategies in Windsor, Ontario, using data records from a Household Travel Survey. Multinomial and mixed-logit models are developed to identify the factors influencing nonwork mode choice travel behavior. Next, the models are used in a scenario-building and simulation exercise to illustrate the benefits attained from jointly improving public transit, encouraging smart growth development, and lowering vehicle ownership. Based on the obtained results, embracing single-policy instruments is not an effective approach for reducing auto dependency in the study area. However, adopting a multidimensional policy approach that integrates land use and transportation policy instruments is proven more effective for achieving sustainable outcomes. It is recommended that the service and facilities for transit and nonmotorized modes be improved, and easier access to commercial and recreational activities be enhanced through progressive improvements to the built environment. Adoption of smart-growth strategies should be also pursued by planners and decision makers to create an environment conducive to reducing the levels of auto ownership. Such a goal is of paramount importance for sustainability because the level of auto ownership emerged as the most important policy instrument for reducing auto dependency in the study area.
机译：城市蔓延的普遍性，对汽车的依赖程度增加以及下午高峰时段的非工作出行导致加拿大城市不可持续的出行方式稳步增加。积极，绿色的交通方式以及明智的增长已被视为万灵药。本文使用家庭旅行调查的数据记录，调查了安大略省温莎市这种可持续的城市交通策略的有效性。开发了多项式和混合对数模型，以识别影响非工作模式选择出行行为的因素。接下来，在情景构建和模拟练习中使用这些模型来说明共同改善公共交通，鼓励智能增长发展和降低车辆拥有量所获得的好处。根据获得的结果，采用单一策略工具不是减少研究区域自动依赖的有效方法。然而，事实证明，采取综合土地利用和运输政策手段的多维政策方法，对于实现可持续成果更为有效。建议改善过境和非机动模式的服务和设施，并通过逐步改善建筑环境来提高商业和娱乐活动的便捷性。规划者和决策者也应追求采用智能增长战略，以创造有利于降低汽车拥有量的环境。这样的目标对于可持续发展至关重要，因为汽车所有权的水平已经成为减少研究区域对汽车依赖的最重要的政策工具。

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