MoS Lab
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Featured Research

From passenger-level behavior to city-scale resilience.

Schematic of the individual path recommendation problem on a disrupted rail and bus network (Figure 1, Transportation Science)
Public Transit Resilience

Individual path recommendation under transit disruptions

Models passenger behavior uncertainty and recommends resilient paths during service disruptions.

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Physical network and time-space hypernetwork representation (Figure 1, Transportation Science)
Public Transit Resilience

Ex post path choice estimation

Estimates urban rail passenger path choices from smart card data via an aggregated time-space hypernetwork.

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Commuting patterns in Beijing, Munich, and Singapore before and after housing exchange (Figure 2, Nature Sustainability)
Sustainable Mobility

Housing exchange to reduce commuting emissions

Uses household-level housing exchange strategies to reduce excess commuting emissions.

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Out-of-sample classification accuracy of robust vs. standard logit models under data uncertainty (results from Tables 2 and 4, EJOR)
Mobility AI

Robust logit models under data uncertainty

Develops behavior-aware robust models that bridge econometrics, optimization, and machine learning.

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Research Support

Funding information for active MoS Lab projects will be updated here as new projects are announced.

News

2026/03/16

New paper: <a href='/documents/publication/Resilience analysis of urban cyber-physical-social systems Insights from the 2023 Beijing rainstorm.pdf'>Resilience analysis of urban cyber-physical-social systems</a> appeared in Reliability Engineering and System Safety.

2025/11/01

New paper: <a href='/documents/publication/Housing exchange framework to reduce .pdf'>Housing exchange framework to reduce carbon emissions from commuting</a> appeared in Nature Sustainability.

2025/10/24

New paper: <a href='/documents/publication/Individual Path Recommendation Under Public.pdf'>Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty</a> appeared in Transportation Science.

2025/05/30

New paper: <a href='/documents/publication/Robust binary and multinomial logit models for classification with data .pdf'>Robust binary and multinomial logit models for classification with data uncertainties</a> appeared in European Journal of Operational Research.

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