NATIONAL UNIVERSITY OF SINGAPORE

Behavioural &
Computational Science Lab

We model how people decide — fusing econometrics, deep learning and neurophysiological measurement to plan transport, energy and urban systems around real behaviour.

Explore our research All 57 publications →

Journal articles

Research thrusts

Researchers

Alumni

WHAT WE WORK ON

Six research thrusts, two scales

We study behaviour at the level of the individual decision maker and at the level of the systems those decisions add up to.

System Level Behaviour

Causal inference for Urban Systems

Causal effect of disruptions and policy changes on road, transit, and micro-mobility systems using observational data.

non-parametriccausal random forestsynthetic controldifference-in-difference

Data-driven Activity-based Modelling

New methods to fuse cellular signal, transit smart card, and travel survey data to generate synthetic population and its activity plans.

deep generative modelscluster-based data fusionpassively-collected data

Adaptive Infrastructure Planning

Developing surrogate models of complex activity-based models to design adaptive pathways for infrastructure interventions under uncertainties.

charging infrastructureuncertaintiesreinforcement learning

Individual Level Behaviour

Data-driven Choice Models

Marrying deep learning with econometrics to develop interpretable (theory-driven), yet flexible, choice models.

deep learningvariational inferencelattice networkinterpretabilitymonotonicity

Modelling Neurophysiological Data

Joint modelling of lab-based brain and eye movement data of decision makers with large- scale web-based choice data.

sequential sampling modelsdynamic modelsresponse time

Built Environment and Human Perception

Causal effect of urban designs on the user’s perception of stress and safety by collecting brain data in immersive environment.

virtual realityEEGcontrolled environmentobjective measures

INTRODUCTION

Meet the lab in two minutes

A short tour of what we study, the instruments we use — eye trackers, EEG, immersive VR — and how the models we build end up shaping transport and energy policy.

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SELECTED WORK

Recent research articles

All published papers by topic →

2026 Energy Behavior

Behavioral uncertainty in EV charging drives heterogeneous grid load variability under climate goals

B. Zhang, Q. Xin, S. Chen, Z. Wang, Y. Lu, N. Niu, F. Zhang, G. Liu, and P. Bansal. Nature Communications, 17(1), 43 (2026).

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2025 Energy Behavior

Lithium-ion battery recycling relieves the threat to material scarcity amid China's electric vehicle ambitions

B. Zhang, Q. Xin, S. Chen, B. Wang, H. Li, Z. Wang, and P. Bansal. Nature Communications, 16(1) (2025).

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2024 Choice Models

A new flexible and partially monotonic discrete choice model

Eui-Jin Kim and Prateek Bansal. Transportation Research Part B: Methodological, 183 (2024): 102947.

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LAB NEWS

Awards & appearances

AWARD

Khoa Vo, Seung Woo Ham, and Prateek Bansal received the Best Poster Award at the 8th Conference of the Transportation Research Group of India (CTRG-2025).

AWARD

Ms Xinwei Li, advised by Prateek Bansal, has received the Behavior Modeling in Transport Networks (BiTN) Young Award 2025.

CONFERENCE

Jiaxuan Ding presented results at the International Choice Modelling Conference (ICMC) in Puerto Varas, Chile.

OUTSIDE THE LAB

Team bonding

PEOPLE

Meet our team

One PI, seven research fellows, three PhD students and three visiting researchers.

PRINCIPAL INVESTIGATOR

Prateek Bansal

He leads the lab's work on interpretable choice models, causal inference for urban systems, and behavioural measurement — from eye tracking and EEG to city-scale mobility data.