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What prompts the adoption of car restriction policies among Chinese cities
June 5, 2020

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C-IMAGE: city cognitive mapping through geo-tagged photos
June 2, 2020

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Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective
March 6, 2020

Read more: Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data
March 6, 2020

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Shared Electric Scooters and Transportation Equity: A Multivariate Spatial Regression Analysis of Environmental Factors on Revealed Travel Behavior and Mode Shift Potential

Maxwell Arnell

February 17, 2020

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Bundled Mobility Passes: A Framework for Partnership Between Public Transit and New Mobility Services

Apaar Bansal

February 17, 2020

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Factors Affecting Public Support of Transportation Policies: Using an International Survey and Hybrid Discrete Choice Modeling

Xuenan Ni

February 17, 2020

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Deep Neural Networks for Choice Analysis: Architecture Design with Alternative-Specific Utility Functions
January 18, 2020

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Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation
October 28, 2019

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Transportation Policymaking in Beijing and Shanghai: Contributors, Obstacles, and Process
October 6, 2019

Read more: Transportation Policymaking in Beijing and Shanghai: Contributors, Obstacles, and Process

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