首页> 外文会议>Transportation Research Board Annual meeting >Commute Well-Being among Bicycle, Transit, and Car Users in Portland, Oregon
【24h】

Commute Well-Being among Bicycle, Transit, and Car Users in Portland, Oregon

机译:在俄勒冈州波特兰市的自行车,公共交通和汽车使用者中通勤

获取原文
获取外文期刊封面目录资料

摘要

To understand the impact of daily travel on personal and societal well-being, measurement techniquesthat go beyond satisfaction-based measures of travel are used. Such metrics are increasingly important forevaluating transportation and land-use policies. This study examines commute well-being, a multi-itemmeasure of how one feels about the commute to work, and its influences using data from a web-basedsurvey that was distributed to Portland, Oregon, U.S.A. workers. Valid surveys (n=828) were compiledfrom three roughly equally sized groups based on mode: bike, transit and car users. Average distancesbetween work and home varied significantly among the three groups. Descriptive results show thatcommute well-being varies widely across the sample. Those who bike to work have significantly highercommute well-being than transit and car commuters. A multiple linear regression model shows that alongwith travel mode, traffic congestion, travel time, income, health, job satisfaction and residentialsatisfaction also play important individual roles in shaping commute well-being. While more analysis isneeded, these results support findings in previous research that commuting by bike enhances well-beingwhile congestion detracts from well-being. Implications for future research and sustainable transportationpolicy efforts are discussed.
机译:了解日常旅行对个人和社会福祉的影响,测量技术 超越了基于满意度的旅行标准。这些指标对于 评估运输和土地使用政策。这项研究考察了上下班的幸福感,这是一个多项目 使用基于Web的数据来衡量人们对通勤工作的感觉及其影响的度量 调查已分发给美国俄勒冈州波特兰市的工人。汇总了有效调查(n = 828) 根据模式分为三个大致相等的组:自行车,公交和汽车使用者。平均距离 在这三组中,工作和家庭之间的差异很大。描述性结果表明 通勤幸福感在整个样本中差异很大。那些骑自行车上班的人要高得多 通勤比通勤和汽车通勤要好。多元线性回归模型显示 出行方式,交通拥堵,出行时间,收入,健康状况,工作满意度和居住地 满意度在塑造通勤生活中也起着重要的个人作用。虽然更多的分析是 需要这些结果支持以前的研究中的发现,即骑自行车上下班可以增进幸福感 而交通拥挤有损于幸福感。对未来研究和可持续交通的意义 讨论了政策措施。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号