Browsing by Author "Xu, Zhiyi"

Now showing 1 - 3 of 3
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    Benefit and Cost Analysis of the I-394 MnPASS Program
    (Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2012-02) Cao, Xinyu (Jason); Munnich, Lee; Liu, Henry; He, Xiaozheng (Sean); Xu, Zhiyi; Huang, Yan (Arthur)
    In this report, we explored the benefits and costs associated with converting the I-394 High Occupancy Vehicle (HOV) lanes to High Occupancy Toll (HOT) lanes. The study focused on the I-394 corridor, with a 10-year timeframe from 2006 to 2015. The benefits included travel time savings, safety benefits, and vehicle operating cost savings, and the costs consisted of capital costs and annual operating costs. Where applicable, the implementation of this study followed the benefit-cost analysis guidance of MnDOT. This study considered the benefits of both travel time savings and travel time reliability and the valuations of travel time savings and reliability were derived from econometric models for individual drivers’ behavior. HOT lane users choose the lanes because of travel time savings and/or the reliability of the lanes whereas previous studies considered only travel time savings and exclusively relied on standardized economic value of travel time. This study estimated safety benefits from crash reduction using the Empirical Bayes method. Previous studies scarcely considered the benefits resulting from the conversion of HOV lanes to HOT lanes. This study also showed that “naïve” approaches tended to overstate safety benefits, which highlighted the importance of using a sound methodology.
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    The Interactions between E-Shopping and Store Shopping: A Case Study of the Twin Cities
    (2010-08) Cao, Jason; Douma, Frank; Cleaveland, Fay; Xu, Zhiyi
    This research aims to reveal the interactions between e-shopping and in-store shopping using a sample of Internet users in the Minneapolis-St. Paul metropolitan area. This report summarizes previous research on the interactions among spatial attributes, e-shopping, and travel behavior and makes eight recommendations for future research. Guided by the recommendations, this study adopts an innovative research design by integrating a conventional shopping survey with an activity diary. This report provides a detailed description of survey development and implementation and points out several common pitfalls in survey administration. This report also presents results on the interactions. Specifically, two ordered probit models and structural equation models were developed to investigate the influence of geography on online shopping usage and the influence of e-shopping on traditional shopping.
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    Non-Motorized Transportation in the City of Minneapolis
    (Hubert H. Humphrey Institute of Public Affairs, 2010-05-21) Borah, Jason; Hankey, Steve; Hoff, Kris; Utecht, Brad; Xu, Zhiyi