Pedestrian Behavior at Signalized Intersection Crosswalks: Observational Study of Factors Associated with Distracted Walking, Pedestrian Violations, and Walking Speed
Pedestrian Behavior at Signalized Intersection Crosswalks: Observational Study of Factors Associated with Distracted Walking, Pedestrian Violations, and Walking Speed
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DOI：
10.1177/0361198118759949
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发表时间：
2018-12-01
影响因子：
1.7
通讯作者：
Smaglik, Edward J.
中科院分区：
文献类型：
--
作者：
Russo, Brendan J.;James, Emmanuel;Smaglik, Edward J.
在过去的二十年里，美国手机和智能手机的使用量大幅增加。虽然移动的电话为人们提供了一种方便的通信方式，但使用这些设备造成的分心导致了意想不到的交通安全和操作后果。虽然人们普遍认为分心驾驶对所有道路使用者（包括行人）都是极其危险的，但分心步行的潜在影响尚未得到全面研究。虽然从业者应该设计设施的安全性，效率和舒适性的行人，它仍然是重要的调查在现有设施的某些行人行为，以尽量减少车辆碰撞的风险，并减少行为，可能不必要地增加延误在信号交叉口。为了获得与分心步行、行人违规和步行速度相关的因素的新见解，使用高清摄像机在纽约和亚利桑那州的四个信号交叉口观察了3,038名行人。对视频数据进行简化和汇总，并估计普通最小二乘（OLS）回归模型，以分析影响步行速度的因素。此外，二进制logit模型估计分析行人分心和行人违规。最终，几个网站和城市的具体变量被发现与行人分心，违规行为和步行速度显着相关。研究结果为研究人员，从业者和立法者提供了重要信息，并可能有助于规划策略，以减少或减轻行人行为的影响，这些行为可能被认为是不安全的或潜在的效率低下的。
In the past two decades, cell phone and smartphone use in the United States has increased substantially. Although mobile phones provide a convenient way for people to communicate, the distraction caused by the use of these devices has led to unintended traffic safety and operational consequences. Although it is well recognized that distracted driving is extremely dangerous for all road users (including pedestrians), the potential impacts of distracted walking have not been as comprehensively studied. Although practitioners should design facilities with the safety, efficiency, and comfort of pedestrians in mind, it is still important to investigate certain pedestrian behaviors at existing facilities to minimize the risk of pedestrian-vehicle crashes, and to reduce behaviors that may unnecessarily increase delay at signalized intersections. To gain new insights into factors associated with distracted walking, pedestrian violations, and walking speed, 3,038 pedestrians were observed across four signalized intersections in New York and Arizona using high-definition video cameras. The video data were reduced and summarized, and an ordinary least squares (OLS) regression model was estimated to analyze factors affecting walking speeds. In addition, binary logit models were estimated to analyze both pedestrian distraction and pedestrian violations. Ultimately, several site- and pedestrian-specific variables were found to be significantly associated with pedestrian distraction, violation behavior, and walking speeds. The results provide important information for researchers, practitioners, and legislators, and may be useful in planning strategies to reduce or mitigate the impacts of pedestrian behavior that may be considered unsafe or potentially inefficient.