Transformative mobility services present both considerable opportunities and challenges for urban mobility systems. Increasing attention is being paid to ridehailing platforms and connections between demand and continuous innovation in service features; one of these features is dynamic ride-pooling. To disentangle how ridehailing impacts existing transportation networks and its ability to support economic vitality and community livability it is essential to consider the distribution of demand across diverse communities. In this paper we expand the literature on ridehailing demand by exploring community variation and spatial dependence in ridehailing use. Specifically, we investigate the diffusion and role of solo requests versus ride-pooling to shed light on how different mobility services, with different environmental and accessibility implications, are used by diverse communities. This paper employs a Social Disadvantage Index, Transit Access Analysis, and a Spatial Durbin Model to investigate the influence of both local and spatial spillover effects on the demand for shared and solo ridehailing. The analysis of 127 million ridehailing rides, of which 15% are pooled, confirms the presence of spatial effects. Results indicate that density and vibrancy variables have analogue effects, both direct and indirect, on demand for solo vs pooled rides. Instead, our analysis reveals significant contrasting effects for socio-economic disadvantage, which is positively correlated with ride-pooling and negatively with solo rides. Additionally, we find that higher rail transit access is associated with higher demand for both solo and pooled ridehailing along with substantial spatial spillovers. We discuss implications for policy, operations and research related to the novel insight on how pooled ridesourcing relate to geography, living conditions, and transit interactions.

变革性的交通服务为城市交通系统带来了巨大的机遇和挑战。人们越来越关注叫车平台以及需求与服务功能持续创新之间的联系；其中一项功能是动态拼车。为了解决打车如何影响现有交通网络及其支持经济活力和社区宜居性的能力，必须考虑不同社区的需求分布。在本文中，我们通过探索乘车使用中的社区变化和空间依赖性来扩展有关乘车需求的文献。具体来说，我们调查了单独请求与拼车的扩散和作用，以阐明不同的移动服务，具有不同的环境和可达性影响，被不同的社区使用。本文采用社会劣势指数、公交可达性分析和空间杜宾模型来研究本地和空间溢出效应对共享和单独乘车需求的影响。对 1.27 亿次乘车的分析，其中 15% 被合并，证实了空间效应的存在。结果表明，密度和活力变量对单人骑行和拼车骑行的需求具有直接和间接的类似影响。相反，我们的分析揭示了社会经济劣势的显着对比效应，这与拼车正相关，与单人骑行负相关。此外，我们发现，更高的轨道交通接入与更高的单人和拼车需求以及大量空间溢出相关。我们讨论了与有关拼车服务如何与地理、生活条件和交通交互相关的新颖见解相关的政策、运营和研究的影响。