Transportation research has paid deeper attention to exploring factors affecting leisure activities and their related travel. Motivated by the influence of social capital on leisure activity behavior, this paper proposes a theory that leisure activity variety is an instrumental outcome and thus affected by instrumental social capital more than expressive social capital. The theory underlines two hypotheses that (1) social capital is an integral determinant of leisure activity participation, and (2) having access to greater instrumental support promotes greater leisure activity variety – an instrumental outcome. This theory was tested using a comprehensive list of different unique leisure activities collected from 1,275 survey respondents. To the authors’ knowledge, this refined and specially designed survey is the first in the transportation literature to use both a position generator and resource generator to measure social capital. Results from negative binomial regression models demonstrated that instrumental support had the largest influence on predicting activity variety outcome. The robustness of six instrumental support measures was assessed based on the variability of parameter estimates and model fit. Sensitivity testing affirmed the consideration that social capital correlates with an individual’s activity participation. This study’s findings suggest that social capital can reduce estimation bias and unobserved heterogeneity across various socioeconomic attributes. As social capital has distinct impacts even among homogeneous demographic groups, transportation modelers can derive insights from social capital measures to build more socially and behaviorally realistic models.

交通研究更加关注探索影响休闲活动及其相关出行的因素。受社会资本对休闲活动行为影响的启发，本文提出休闲活动多样性是一种工具性结果，因此受工具性社会资本的影响大于表达性社会资本的影响。该理论强调两个假设：(1) 社会资本是休闲活动参与的一个不可或缺的决定因素，(2) 获得更多的工具性支持会促进休闲活动的多样性——一种工具性结果。使用从 1,275 名调查受访者收集的不同独特休闲活动的综合列表来测试该理论。据作者所知，这项精心设计的调查是交通文献中第一个同时使用位置生成器和资源生成器来衡量社会资本的调查。负二项式回归模型的结果表明，工具支持对预测活动多样性结果的影响最大。基于参数估计和模型拟合的可变性评估了六种工具支持措施的稳健性。敏感性测试证实了社会资本与个人活动参与相关的考虑。这项研究的结果表明，社会资本可以减少各种社会经济属性之间的估计偏差和未观察到的异质性。由于社会资本即使在同质人口群体中也有明显的影响，