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Neighborhood socio-demographic characteristics and bike share member patterns of use

机译:邻里社会人口统计学特征和自行车共享会员使用方式

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Information about factors that affect patterns of use by bike share members is needed to manage systems effectively and equitably. Recent research into the patterns of use by members across heterogeneous neighbor-hoods indicates that neighborhood characteristics as well as built environment characteristics may be associated with use. We use 2017 data on trips taken by 30-day and annual members of the Nice Ride Bike Share System in Minneapolis-St. Paul and examine the associations between user behavior and socio-demographic characteristics at the Census block group (CBG) level where members live. We estimate linear mixed-effects models and multinomial logistic models to analyze the associations of neighborhood socio-demographic characteristics with, respectively, (1) the frequency and duration of weekday and weekend trips by members and (2) the temporal and spatial patterns of their trips. Our results show that, after controlling for station accessibility, nearby bike infrastructure, the built environment, gender, and age, members who reside in minority-concentrated and lower socio-economic status (SES) neighborhoods use bike share more frequently, take trips at more varied times-of-day and across days-of-week, and have more frequently-used origin-destination pairs of stations. A limitation of our analysis is that patterns of use of casual users are not investigated. Our findings have implications for efforts to serve members in neighborhoods with higher concentrations of minorities and residents of lower SES and illustrate the need for more detailed surveys of members to obtain additional information about individual characteristics associated with behaviors of bike share users.
机译:为了有效,公平地管理系统,需要有关影响自行车共享成员使用模式的因素的信息。对跨异构邻居的成员使用模式的最新研究表明,邻里特征以及建筑环境特征可能与使用相关。我们使用2017年数据,包括明尼阿波利斯-圣尼斯的30天骑行和尼斯乘车共享系统年度成员的出行情况。 Paul并在会员居住的人口普查小组(CBG)级别上研究了用户行为与社会人口统计学特征之间的关联。我们估计线性混合效应模型和多项逻辑模型,以分析邻里社会人口统计学特征与以下各项的关联:(1)成员工作日和周末旅行的频率和持续时间,以及(2)他们的时空分布旅行。我们的结果表明,在控制了车站的可达性,附近的自行车基础设施,建成的环境,性别和年龄之后,居住在少数族裔和较低社会经济地位(SES)社区的成员使用自行车的比例更高,一天中的不同时间和一周中的几天之间的差异更大,并且具有更频繁使用的始发地-目的地站点对。我们分析的局限性在于,没有调查休闲用户的使用模式。我们的发现对努力为少数群体集中度较高的居民和SES较低的居民提供服务意义深远,并说明需要对会员进行更详细的调查以获得与自行车共享用户行为相关的个人特征的更多信息。

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