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Have walking and bicycling increased in the US? A 13-year longitudinal analysis of traffic counts from 13 metropolitan areas

机译:在美国,步行和骑自行车的人数增加了吗?对13个大城市的交通流量进行了为期13年的纵向分析

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Local, state, and federal governments promote walking and bicycling in order to reduce emissions and improve public health. Tracking rates of bicycling and walking over time is important for assessing progress towards this goal. In the United States, most data are limited to cross-sectional self-report surveys (e.g., National Household Travel Surveys [NHTS]) or capture only the main commute mode (e.g., American Community Survey [ACS]). This study examines temporal trends (while controlling for spatial factors) of active travel in 13 US metropolitan areas between 2004 and 2016 (with 78% of counts occurring between 2010 and 2016) using repeated counts of bicycle and pedestrian traffic (n = 1319 count locations; 5554 bicycle and 5166 pedestrian counts). We used multilevel mixed-effects models to examine the multi-year trend in bicycling and walking during morning and afternoon peak periods. In the 5 out of 8 models where the temporal trend was statistically significant, we found that, on average, traffic volumes increased at a rate of 2-6% (bicycle) and 2-3% (pedestrian) per year among count locations, holding other variables constant. Presence of bicycle facilities (e.g., bicycle lanes, off-street trails) was positively associated with higher levels of bicycle traffic. Our results based on observed traffic patterns suggest larger increases in bicycling and walking as compared to the trends reported from the NHTS and ACS data. Quantifying the temporal trend from observed counts of traffic may aid policy makers and urban planners in assessing progress towards the goal of increasing bicycling and walking to reduce emissions and increase physical activity.
机译:地方,州和联邦政府提倡步行和骑自行车,以减少排放并改善公共健康。跟踪骑自行车和随着时间的流逝的速度对于评估实现此目标的进度很重要。在美国,大多数数据仅限于横断面自我报告调查(例如,全国家庭旅行调查[NHTS])或仅捕获主要的通勤模式(例如,美国社区调查[ACS])。这项研究使用重复的自行车和行人交通计数(n = 1319个计数地点),调查了2004年至2016年(在2010年至2016年之间,有78%的计数)在美国13个大都市地区的主动出行的时间趋势(同时控制了空间因素) ; 5554自行车和5166行人计数)。我们使用了多层次的混合效应模型来研究早晨和下午高峰时段骑自行车和步行的多年趋势。在时间趋势具有统计学意义的8个模型中,有5个模型发现,在计数地点之间,交通量平均每年以2-6%(自行车)和2-3%(行人)的速度增长,保持其他变量不变。自行车设施的存在(例如,自行车道,路外小径)与较高的自行车流量呈正相关。我们根据观察到的交通模式得出的结果表明,与NHTS和ACS数据所报告的趋势相比,自行车和步行的增长幅度更大。从观察到的交通量中量化时间趋势可能有助于政策制定者和城市规划者评估朝着增加骑自行车和步行以减少排放物并增加体力活动的目标的进展。

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