标题： 一种用于移动枢纽影响评估和选址的数据融合方法：将枢纽使用数据整合到大规模出行方式选择模型中 显示英文标题

标题： A data fusion approach for mobility hub impact assessment and location selection: integrating hub usage data into a large-scale mode choice model

摘要： 随着城市应对交通拥堵和服务不平等问题，出行枢纽提供了一种可扩展的解决方案，以将日益增长的出行需求与可持续发展目标相一致。 然而，由于缺乏将大规模出行模式与现实中的枢纽使用相结合的行为模型，评估其影响仍然具有挑战性。 本研究提出了一种新颖的数据融合方法，将观察到的出行枢纽使用情况纳入通过合成行程数据估计的出行方式选择模型中。 我们识别了可能受出行枢纽影响的行程，并构建了一个多模式子选择集，然后使用现场调查数据和实际行程数量校准枢纽特定参数。 增强的模型用于评估出行枢纽对潜在需求、出行方式转变、减少车辆行驶里程（VMT）和增加消费者剩余（CS）的影响。 我们将这种方法应用于纽约州首府地区的一个案例研究，使用首府地区交通管理局（CDTA）进行的调查数据以及通过Replica Inc.合成数据估计的出行方式选择模型。 在UAlbany市中心校区和Cohoes市中心附近实施的两个枢纽预计每天将产生8.83和6.17次多模式行程，每年减少20.37和13.16千英里的VMT，并分别增加每日CS$4,000 and $1,742。 利用估计模型对阿尔巴尼-斯克内克塔迪-特洛伊大都会区潜在枢纽候选人的评估表明，位于城际走廊和城市外围、支持停车换乘（P+R）模式的枢纽产生了最显著的行为影响。 显示英文摘要

摘要： As cities grapple with traffic congestion and service inequities, mobility hubs offer a scalable solution to align increasing travel demand with sustainability goals. However, evaluating their impacts remains challenging due to the lack of behavioral models that integrate large-scale travel patterns with real-world hub usage. This study presents a novel data fusion approach that incorporates observed mobility hub usage into a mode choice model estimated with synthetic trip data. We identify trips potentially affected by mobility hubs and construct a multimodal sub-choice set, then calibrate hub-specific parameters using on-site survey data and ground truth trip counts. The enhanced model is used to evaluate mobility hub impacts on potential demand, mode shift, reduced vehicle miles traveled (VMT), and increased consumer surplus (CS). We apply this method to a case study in the Capital District, NY, using data from a survey conducted by the Capital District Transportation Authority (CDTA) and a mode choice model estimated using Replica Inc. synthetic data. The two implemented hubs located near UAlbany Downtown Campus and in Downtown Cohoes are projected to generate 8.83 and 6.17 multimodal trips per day, reduce annual VMT by 20.37 and 13.16 thousand miles, and increase daily CS by $4,000 and $1,742, respectively. An evaluation of potential hub candidates in the Albany-Schenectady-Troy metropolitan area with the estimated models demonstrates that hubs located along intercity corridors and at urban peripheries, supporting park-and-ride P+R patterns, yield the most significant behavioral impacts.