To understand how transit ridership would be increased via hardening first-and-last mile (F&LM) connections, the paper explores a quantity-based method to measure the effect of F&LM access when estimating workers’ commuting transit use in Hamilton County, Ohio. Considering variations in the spatial distribution of socioeconomics, built environment, and transportation services, a geographically weighted lasso (GWL) based structure is applied in modeling transit use so as to capture spatial heterogeneous role of F&LM access and to deal with local variable multicollinearity. In the GWL model, transit use is formulated as a function of transit service coverage, job accessibility by transit, and other socioeconomic, built environment, and transportation variables. The transit service coverage is articulated with choices of different F&LM modes (i.e., walking and biking), F&LM network connectivity to transit, and land use density; and job accessibility by transit is measured using the number of destination jobs covered by transit and transit journey time to destinations. The GWL modeling results suggest that a 10% growth in population covered by transit and job accessibility by transit can increase transit usage by 5.9% and 6.6% respectively, especially attracting more riders in the urban fringe. Then, the effectiveness of policy interventions such as dense development, promotion of bike usage, and increased bike connectivity in increasing transit ridership are subsequently estimated. Additionally, results indicate that providing improved F&LM access to car-less population, minority, and low-income people who tend to rely more on transit than others is more effective in promoting transit use.

为了了解如何通过加强首尾两英里（F＆LM）的连接来增加过境乘客的数量，本文探索了一种基于数量的方法来评估俄亥俄州汉密尔顿县工人通勤过境使用时对F＆LM出入的影响。考虑到社会经济学，建筑环境和运输服务的空间分布中的变化，将基于地理加权套索（GWL）的结构应用于过境使用建模，以捕获F＆LM访问的空间异质性并处理局部变量多重共线性。在GWL模型中，过境使用被表述为过境服务覆盖率，过境工作可及性以及其他社会经济，建筑环境和运输变量的函数。通过选择不同的F＆LM模式（即步行和骑自行车），F＆LM网络与公交的连接以及土地利用密度；并根据过境工作可访问性使用过境覆盖的目的地工作数量和到达目的地的中途旅行时间来衡量。GWL模型结果表明，过境人口和过境工作机会的覆盖率增长10％可以分别使过境使用率增加5.9％和6.6％，尤其是在城市边缘地区吸引更多的骑手。然后，随后评估了诸如密集开发，促进自行车使用以及增加自行车连通性等政策干预措施在增加乘车人次方面的有效性。此外，结果表明，针对无车族，少数族裔，