Xin Wang
Old Dominion University
30 Papers
162 Citations
Xin Wang is an academic researcher from Old Dominion University. The author has contributed to research in topics: Travel behavior & Incident management. The author has an hindex of 17, co-authored 30 publications. Previous affiliations of Xin Wang include University of Tennessee.
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Papers
Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares
TL;DR: Wang et al. as discussed by the authors used the American Customer Satisfaction Index (ACSI) model to establish a passenger satisfaction evaluation model for urban rail transit in China, and applied a structural equation modeling (SEM) method and its parameter estimation method: Partial Least Squares (PLS).
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Travel by University Students in Virginia: Is This Travel Different from Travel by the General Population?
TL;DR: In this paper, the authors collected and analyzed data on the travel behavior of university students using an Internet-based survey instrument and collected data on travel behavior, sociodemographics, and context variables at four major universities in Virginia.
139
What is the level of volatility in instantaneous driving decisions
TL;DR: In this paper, a driver volatility index is developed to measure the extent of variations in driving behavior, which captures variation in driving behaviour constrained by the performance of the vehicle from a decision-making perspective, i.e., the decision to change marginal rate of acceleration or deceleration.
98
Are Incident Durations and Secondary Incidents Interdependent
TL;DR: In this paper, the authors studied the relationship between primary incident duration and secondary incident occurrence and found that secondary incidents are more likely to occur if the primary incident lasts a long time; at the same time, the durations of primary incidents are expected to be longer if secondary incidents occur.
92
What Can Be Learned from Analyzing University Student Travel Demand
TL;DR: In this article, the travel behavior of university students and their attributes that include personal characteristics, residential location (residing on campus or off campus), and academic status were modeled to understand the travel behaviour of university student and to model associations with their attributes.
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