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Bat-hen Nahmias-Biran, Shuki Cohen, Vladimir Simon and Israel Feldman
Mobile phones have achieved a high rate of penetration and gained great interest in the field of travel behavior studies. However, mobile phone data exploitation for national travel models has only been sporadically studied thus far. This work focuses on...
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Serio Agriesti, Claudio Roncoli and Bat-hen Nahmias-Biran
Agent-based modeling has the potential to deal with the ever-growing complexity of transport systems, including future disrupting mobility technologies and services, such as automated driving, Mobility as a Service, and micromobility. Although different ...
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Claudio Lombardi, Luís Picado-Santos and Anuradha M. Annaswamy
Value of time (VOT) is a crucial aspect of travel demand modeling. VOT impacts most mobility projects and the evaluations therein. It has been noted to be influenced by multiple factors, mainly related to individuals? demographics and trips? characterist...
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Wenjia Zhang, Chunhan Ji, Hao Yu, Yi Zhao and Yanwei Chai
Interpersonal and intrapersonal variabilities are two important perspectives to understand daily travel behaviors, while only a small number of studies incorporate them for understanding human dynamics. This paper employed a network analysis approach to ...
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Hossein Ahmadi, Fouad Kilanehei and Mohammad Nazari-Sharabian
Public supply wells are commonly considered one of the most significant sources of freshwater on Earth. Therefore, potential well water contamination can conceivably be regarded as a crucial issue that is closely correlated with both environmental protec...
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Arefeh Nasri, Hannah Younes, Lei Zhang
Pág. 389?408
Bikeshare programs in their current form have been in place for several years in many cities across the United States. Encouraging people to use bikeshare for their daily routine travel has numerous social, economic, environmental, and health benefits. T...
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Piotr Soczówka, Renata Zochowska and Grzegorz Karon
The transport system of a Smart City consists of many subsystems; therefore, the modeling of the transportation network, which maps its structure, requires consideration of both the connections between individual subsystems and the relationships within e...
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Shanjiang Zhu and David Levinson
Planning models require consideration of travelers with distinct attributes (value of time (VOT), willingness to pay, travel budgets, etc.) and behavioral preferences (e.g., willingness to switch routes with potential savings) in a differentiated market ...
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Sehnaz Cenani, Theo A. Arentze, Harry J.P. Timmermans
Pág. 55 - 64
The paper reports progress in the development of an agent-based model of cognitive learning, which simulates spatial perception updating in connection with daily travel behavior based on the principle of Bayesian perception updating. This model is embedd...
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Yong Zhao, Huimin Zhao
Pág. 2949 - 2956
As a unique practice in travel demand modeling, traffic and revenue forecasting for toll facilities require highly accurate traffic projection. Explicit and rigorous statistical recognition of uncertainty in toll studies will mitigate the risk in plannin...
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