Bird Donna C, Freund Katherine, Fortinsky Richard H, Staplin Loren, West Bethany A, Bergen Gwen, Downs Jonathan
a ITNAmerica , Westbrook , Maine.
b University of Connecticut School of Medicine , Farmington , Connecticut.
Traffic Inj Prev. 2017 Apr 3;18(3):267-272. doi: 10.1080/15389588.2016.1198008. Epub 2016 Aug 30.
This study examined a multicommunity alternative transportation program available 24 hours a day, 7 days a week, for any purpose, offering door-through-door service in private automobiles to members who either do not drive or are transitioning away from driving. Specific aims were to describe the characteristics of members by driving status and ride service usage of these members.
Data came from administrative records maintained by a nonprofit ride service program and include 2,661 individuals aged 65+ residing in 14 states who joined the program between April 1, 2010, and November 8, 2013. Latent class analysis was used to group current drivers into 3 classes of driving status of low, medium, and high self-regulation, based on their self-reported avoidance of certain driving situations and weekly driving frequency. Demographics and ride service use rate for rides taken through March 31, 2014, by type of ride (e.g., medical, social, etc.) were calculated for nondrivers and drivers in each driving status class.
The majority of ride service users were female (77%) and aged 65-74 years (82%). The primary method of getting around when enrolling for the transportation service was by riding with a friend or family member (60%). Among the 67,883 rides given, nondrivers took the majority (69%) of rides. Medical rides were the most common, accounting for 40% of all rides.
Reported ride usage suggests that older adults are willing to use such ride services for a variety of trips when these services are not limited to specific types (e.g., medical). Further research can help tailor strategies to encourage both nondrivers and drivers to make better use of alternative transportation that meets the special needs of older people.
本研究考察了一项多社区替代交通项目,该项目每周7天、每天24小时提供服务,可用于任何目的,为不会开车或正在减少开车的会员提供私家车门到门服务。具体目标是按驾驶状态描述会员特征以及这些会员的乘车服务使用情况。
数据来自一个非营利性乘车服务项目维护的行政记录,包括2010年4月1日至2013年11月8日期间加入该项目的居住在14个州的2661名65岁及以上的个体。基于自我报告的对某些驾驶情况的回避以及每周驾驶频率,采用潜在类别分析将当前驾驶者分为自我调节能力低、中、高的3类驾驶状态。计算了截至2014年3月31日各驾驶状态类别的非驾驶者和驾驶者按乘车类型(如医疗、社交等)的人口统计学特征和乘车服务使用率。
大多数乘车服务使用者为女性(77%),年龄在65 - 74岁之间(82%)。注册交通服务时的主要出行方式是与朋友或家人一起乘车(60%)。在提供的67883次乘车服务中,非驾驶者占大多数(69%)。医疗乘车最为常见,占所有乘车服务的40%。
报告的乘车服务使用情况表明,当这些服务不限于特定类型(如医疗)时,老年人愿意在各种出行中使用此类乘车服务。进一步的研究有助于制定策略,鼓励非驾驶者和驾驶者更好地利用满足老年人特殊需求的替代交通方式。