NSF/USDOT: Innovative Feeder Transit Services: Mobility Allowance Shuttle Transit - MAST

NSF/USDOT：创新支线运输服务：流动性补贴班车运输 - MAST

• 批准号: 0231665
• 负责人: Maged Dessouky
• 金额: $ 20万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0231665&HistoricalAwards=false
• 关键词: NSF; USDOT; Innovative; Feeder; Transit

Demands on urban transit agencies for improved and extended services are increasing; yet, there is little public support for increases in fares or subsidies. Therefore, transit agencies are currently seeking ways to improve service flexibility in a cost-efficient manner. Traditional fixed-route bus transit systems are cost effective; however, the general public considers the service to be inconvenient because of a lack of flexibility. Demand Responsive Transit (DRT) networks are flexible, but tend to be much more costly to deploy than fixed-route systems. To overcome these limitations, the PIs will explore and develop an innovative concept called Mobility Allowance Shuttle Transit (MAST) that merges the flexibility of DRT systems with the low cost operability of fixed-route bus systems. A MAST service has a fixed, base route that covers a specific geographic zone. The innovative twist is that MAST allows buses to deviate from the fixed path so that passengers wanting service in the vicinity of the path may be picked up or dropped off at their desired locations. Passengers contact the dispatch center to request a pick-up and receive service from the next available bus. The only restriction on flexibility is that the deviations must lie within a predetermined distance from the fixed, base route. The PIs' research objective is to recommend a viable MAST architecture, specifically providing (1) the route deviation distance, (2) the schedule slack time, and (3) the policies for real-time sequencing and assignment of pick-ups. This research will produce a regression-based demand model and a nonlinear dynamic bus headway distribution model. These models will be used to drive the design process as well as to synthesize operating policies. The approach will be validated through an extensive simulation study.This research will determine the demand and operating conditions that will allow MAST to be financially viable. The successful implementation of MAST will improve the desirability of transit as an alternative to private automobiles, and could result in increased transit ridership. An increase in transit ridership would likely lead to reduced roadway congestion and improved environmental conditions, such as reductions in greenhouse gas emissions.

对城市交通机构改善和扩大服务的要求越来越多;然而，公众对提高票价或补贴的支持却很少。 因此，过境机构目前正在设法以成本效益高的方式提高服务的灵活性。传统的固定路线巴士运输系统具有成本效益;然而，由于缺乏灵活性，一般公众认为这种服务不方便。需求响应式公交（DRT）网络是灵活的，但往往比固定路线系统部署成本高得多。为了克服这些限制，PI将探索和开发一种称为流动津贴穿梭运输（MAST）的创新概念，将DRT系统的灵活性与固定路线公交系统的低成本可操作性相结合。MAST服务具有覆盖特定地理区域的固定基本路由。创新的转折是，MAST允许公共汽车偏离固定的路径，以便乘客希望在路径附近的服务可以在他们想要的位置上下车。乘客联系调度中心，要求从下一班可用的巴士上接载和接受服务。对灵活性的唯一限制是偏离必须位于距固定的基本路线的预定距离内。PI的研究目标是推荐一个可行的MAST架构，特别是提供（1）路线偏离距离，（2）调度松弛时间，以及（3）实时排序和皮卡分配的策略。本研究将建立一个回归需求模型及一个非线性动态车头时距分配模型。这些模型将用于驱动设计过程以及综合运营策略。 该方法将通过广泛的模拟研究进行验证。该研究将确定使MAST在财务上可行的需求和操作条件。 MAST的成功实施将提高公共交通作为私人汽车替代品的可取性，并可能导致公共交通乘客量的增加。 过境乘客量的增加可能会减少道路拥堵，改善环境条件，例如减少温室气体排放。