Happy to announce that I would join the National University of Singapore (NUS) as an Assistant Professor in Fall 2021.
I have a PhD and a Postdoc opportunity starting from Fall 2021. Please do reach out for further enquiries.
#academia#singapore#phdchat#highereducation
Have you ever wondered why traffic doesn't improve even when more roads are built? A recent study made by Anupriya, Prateek Bansal and Daniel J. Graham in the Transportation Research journal dives into this "paradox". Thread π§΅ https://t.co/djpc0Y3eyx
Got a chance to share my thoughts on the future of car-sharing in Singapore at CNA's Talking Point.
I mainly talk about the economics of carsharing from the consumer's perspective.
https://t.co/N6QA1y6Y5N
#CNA#economics#carsharing#singapore
Please check out our new paper on a robust discrete choice model in "Statistics and Computing".
Fat-tails of t-distribution make this model less sensitive to outliers: https://t.co/mxITncfTUc
#bayesian#robustness#discretechoice#statistics
The recent paper that I like a lot!
A new dynamic model for crowding valuation in subway/metro.
As one of the reviewers said -- a good illustration of how problem-driven statistical models can be developed.
#statistics#crowding#valuation#dynamicmodels#behaviour
Have you read this open access article? ππ½
"A Dynamic Choice Model to Estimate the User Cost of Crowding with Large Scale Transit Data"
π https://t.co/6Y6q5CbDlR
1/nπ§΅
How can we use vehicle location data, unsupervised machine learning, and simulation techniques to detect primary and secondary disruptions in metro systems?
#publictransport#metro#disruption#simulation#MachineLearning
https://t.co/JtSqRpkX8j
Starting my "Neurophysiology and Behavioural Science Lab" in Civil Engineering at NUS. We have:
eye-tracker
EEG
VR headset
GSR
ECG
Is it not truly interdisciplinary?
More details are awaited...
#neuroscience#behaviouralinsights#neurophysiology#Psychology
Our new paper in Energy Economics highlights the sensitivity of Indian and Chinese car buyers relative to demand-side policies!
Main result: Demand-side policies are ineffective in reducing fuel consumption. A supply-side policy is a way forward.
#energy#energytwitter
How to model animal-vehicle collisions using large-scale data and find the effect of countermeasures on AVC reduction? How to account for unknown animal-vehicle encounters & seasonality?
with @KaraKockelman & co-authors
#safety#bayesian#AnimalCrossing
https://t.co/9n6pLwk0wg
How can you mess up so much in one journey:
1. Delayed connecting flight by 24 hours
2. Delayed baggage by 48 hours
3. Serving non-vegetarian meals even after requesting vegetarian mean
Least you can do is to respond my request (FB ID: 35722376)
@lufthansa@lufthansaNews
Can a rebate/fee on upfront price based on fuel economy be an effective fuel conservation policy in India & China?
No, we answer it by modelling vehicle choice and usage using revealed preference data:
https://t.co/RyxFUGvcjX
#China#India#environmental#BehaviorTwitter
@ShengwuLi @alexoimas @BenBushong Sequential sampling models from psychology (e.g, decision field theory). Need to refine them for economists to appreciate. Identification issues and too much structure without justifications
Can aggregated mobility data help in predicting spread of pandemic?
Please check out our new compact matrix-based model. Studied first wave of COVID-19 infections in Italy using mobility between provinces.
https://t.co/Bi5GIqKu7v (preprint)
#Epidemiology#covid#bigdata