Forecasting Ridership for Commuter Rail in Austin
| 项目名称： | Forecasting Ridership for Commuter Rail in Austin |
| 摘要： | Austin Texas is one of the most rapidly growing cities in the United States. Current estimates indicate over 150 people per day are moving to Austin. To deal with the growing transportation needs, Capital Metro is proposing the addition of commuter rail services in several corridors where publicly owned rail right of way is available. Forecasting ridership for such services is problematic due to a lack of experience with access modal choices and the potential operational state of the transport system due to rapid growth. The research team has developed dynamic traffic assignment algorithm for such problems, however, it currently estimates time and cost of access in very rudimentary ways. This work will develop robust predictive tools for assessing modes used for accessing the proposed commuter rail systems. The purpose of this project is to develop the proposed models using a combination of stated preference survey data and analogies with other cities. |
| 状态： | Completed |
| 资金： | 140000 |
| 资助组织： | Center for Advanced Multimodal Mobility Solutions and Education |
| 管理组织： | University of North Carolina, Charlotte |
| 项目负责人： | Fan, Wei (David) |
| 执行机构： | University of Texas at Austin |
| 主要研究人员： | Machemehl, R B |
| 开始时间： | 20170115 |
| 预计完成日期： | 20180930 |
| 实际结束时间： | 20180930 |
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