Sentiment analytics, as a computational method to extract emotion and detect polarity, has gained increasing attention in tourism research. However, issues regarding how to properly apply sentiment analytics are seldom addressed in the tourism literature.
We study urban structure and traffic congestion of a monocentric city by idealizing its suburb and its core as two zones and then exploring what would happen when they are connected by a congestible highway and a crowded railway system.
This study proposes a new framework for studying activity-travel dynamics in multi-state supernetworks based on a needs-based theory. The framework postulates that temporal fluctuations in human needs are the source of dynamically generated activities, which in turn are manifested in the choice of day-to-day activity-travel patterns (ATPs) and dynamics in day-to-day traffic.
Authors:Jichang Zhao, Daqing Li, Hillel Danhedrai, Roven Cohen and Shlomo HavlinPublished in:Nature CommunicationsAbstract:Different from the direct contact in epidemics spread, overload failures propagate through hidden functional dependencies. Many studies focused on the critical conditions and catastrophic consequences of cascading failures. However, to understand the network vulnera...
Authors:Ho, Yi-Chun (Chad); Wu, Junjie; Tan, YongPublished in:INFORMATION SYSTEMS RESEARCHKeywords:disconfirmation; online reviews; rating bias; user-generated content; word of mouth; learning models; hierarchical Bayes; Bayesian estimationAbstract:This research studies the effect of disconfirmation-the discrepancy between the expected and experienced assessment of the same product-...
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