Tiantian(Nicole) Chen 

Full-time FacultyResearch Field > Intelligent Mobility TechnologyResearch Field > Sustainable Mobility Technology

Office

F435

Tel

1260

E-mail

nicole.chen@kaist.ac.kr

Site

Site Url

Summary

Research Interest

– Traffic safety, Applications of statistical methods
– Travel behavior analysis, Transport policy
– Driving behavior, Simulator experiment
– Connected and autonomous vehicles, Human factor, Human-centered design

Education

  • Sept. 2017 – Mar. 2021
    The Hong Kong Polytechnic University
    Doctor of philosophy in Civil and Environmental Engineering, GPA:4.0 / 4.3
  • Sept. 2019 – Dec. 2019
    RMIT University, Melbourne, Australia
    Visiting Student Researcher
  • Sept. 2014 – Nov. 2015
    Hong Kong University of Science & Technology (HKUST)
    Master of Science in Environmental Health and Safety, GPA: 4.08 / 4.3
  • Sept. 2010 – June 2014
    Zhejiang Gongshang University, Hangzhou, P.R. China
    Bachelor of Science in Environmental Science, GPA: 4.1 / 5

Biography

Dr. Tiantian Chen received the PhD in Civil and Environmental Engineering with a focus on Traffic Safety from the Hong Kong Polytechnic University in 2021. Prior to joining KAIST, she was a Postdoctoral Fellow in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University, and a senior researcher at the Center for Advances in Reliability and Safety (CAiRS) in Hong Kong Science Park. Her research interests include traffic safety, driving simulation, travel behavior analysis, smart interaction, human factor concepts of future transport systems, and transport policy.

Publication

Section A- Selected publications

  1. Chen, T., Sze, N. N., & Bai, L. (2019). Safety of professional drivers in an ageing society–A driving simulator study. Transportation Research Part F: Traffic Psychology and Behaviour,67, 101-112. https://doi.org/10.1016/j.trf.2019.10.006 (SSCI, Q2, IF: 4.349)
  2. Chen, T., Sze, N. N., Saxena, S., Pinjari, A. R., Bhat, C. R., & Bai, L. (2020). Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: a Hong Kong stated preference experiment. Accident Analysis & Prevention, 135, 105366. https://doi.org/10.1016/j.aap.2019.105366 (SSCI, Q1, IF: 6.376)
  3. Chen, T., Sze, N. N., Chen, S., & Labi, S. (2020). Urban road space allocation incorporating the safety and construction cost impacts of lane and footpath widths. Journal of Safety Research, 75, 222-232. https://doi.org/10.1016/j.jsr.2020.09.014 (SSCI, Q1, IF: 4.264)
  4. Chen, T., Sze, N. N., Newnam, S., & Bai, L. (2021). Effectiveness of the compensatory strategy adopted by older drivers: difference between professional and non-professional drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 168-180. https://doi.org/10.1016/j.trf.2021.01.006 (SSCI, Q2, IF: 4.349)
  5. Chen, T., Sze, N. N., Chen, S., Labi, S., & Zeng, Q. (2021). Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model. Accident Analysis & Prevention, 154, 106089. https://doi.org/10.1016/j.aap.2021.106089 (SSCI, Q1, IF: 6.376)
  6. Chen, T., Lu, Y.C., Fu, X., Sze, N.N., & Ding H.L. (2021). A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros. Accident Analysis & Prevention, 106496. https://doi.org/10.1016/j.aap.2021.106496. (SSCI, Q1, IF: 6.376)
  7. Chen, T., Fu, X., Hensher, D., Li, Z.C, & Sze, N.N. (2022). The Effect of Online Meeting and Health Screening on Business Travel: A stated preference case study in Hong Kong. Transportation Research Part E: Logistics and Transportation Review. 164, 102823. https://doi.org/10.1016/j.tre.2022.102823 (SSCI, Q1, IF: 10.047)
  8. Chen, T., Oviedo-Trespalaciosa, O., Sze, N.N., & Chen, S. (2022). Distractions by Work-related Activities: The Impact of Ride-hailing App and Radio System on Male Taxi Drivers . Accident Analysis & Prevention. 106849. https://doi.org/10.1016/j.aap.2022.106849 (SSCI, Q1, IF: 6.376)
  9. Chen, T., Fu, X., Hensher, D., Li, Z.C, & Sze, N.N. (2022). Air Travel Choice, Online Meeting and Passenger Heterogeneity – An international study on travellers’ preference during a pandemic. Transportation Research Part A: Policy and Practice. In press. (SSCI, Q1, IF: 6.615)

 

 

 

Section B- Other publications

  1. Meng, F., Sze, N.N., Song C., Chen, T., Zeng Y. (2021). Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit models with space-time variations. Analytic Methods in Accident Research, 100168. https://doi.org/10.1016/j.amar.2021.100168 (SSCI, Q1, IF: 14.556)
  2. Li, Y., Chen, T., Chen, S., & Labi, S. (2021). Tradeoffs between safe/comfortable headways versus mobility-enhancing headways in an automated driving environment: preliminary insights using a driving simulator experiment. Frontiers in Engineering and Built Environment, 1(2), 173-187. https://doi.org/10.1108/FEBE-05-2021-0025
  3. Tsui, K.W.H., Fu, X., Chen, T., Lei, Z., Wu, H.J. (2021). Analyzing Hong Kong’s inbound tourism: The impact of the COVID-19 pandemic. IATSS Research, 45, 4, 440-450. https://doi.org/10.1016/j.iatssr.2021.11.003(ESCI, Q3, JCI: 0.66)
  4. Ding, H., Lu, Y., Sze, N. N., Chen, T., Guo, Y., & Lin, Q. (2022). A deep generative approach for crash frequency model with heterogeneous imbalanced data. Analytic Methods in Accident Research, 100212. https://doi.org/10.1016/j.amar.2022.100212 (SSCI, Q1, IF: 14.556)
  5. Dong J., Mohammad Miralinaghi, Chen, S., Chen, T., & Labi, S. (2022) Development and testing of an image transformer for explainable autonomous driving systems. Journal of Intelligent and Connected Vehicles. In press.

Section C- Papers under review & Working papers:

  • Chen, T., Fu, X., Hensher, D., Li, Z.C, & Sze, N.N. (2022). Effects of proactive and reactive public health control measures on the choices of public transport mode: A Hong Kong stated preference experiment. under review at Transport Policy.
  • Chen, S., Zong, S.Y., Chen, T., Chen, Y. S., & Labi, S. (2022). Improving the taxonomy of fully automated driving systems: Discussion based on the current practice. under review at Transportation Letters.
  • Chen, T., Aupal Mondal, Fu, X., Chandra R. Bhat. (2022). Trade-off Between Privacy and Efficiency: Stated Preference Survey for using Personal Health QR code at Future Airport. Working paper.

Section D- Selected International Conference:

  1. Chen, T., Aupal Mondal, Fu, X., Chandra R. Bhat. (2022). Trade-off Between Privacy and Efficiency: Stated Preference Survey for using Personal Health QR code at Future Airport. Paper presented at the 25th ATRS World Conference (Virtual), August 24-27, 2022, Antwerpen, Belgium.
  2. Chen, T., Fu, X., Hensher, D., Li, Z.C, & Sze, N.N. (2021). Air Travellers’ Preference Changes during a Pandemic – An international comparison using a stated preference approach. Paper presented at the 24th ATRS World Conference (Virtual), August 26-29, 2021, Sydney, Australia.
  3. Chen, T., Sze, N. N., Saxena, S., Pinjari, A. R., Bhat, C. R., & Bai, L. (2020). Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: a Hong Kong stated preference experiment. Paper presented at the 99th Annual Meeting of the Transportation Research Board (TRB 2020), 12-​16 January, Washington, DC.
  4. Chen, T., Sze, N.N. & Bai, L. (2019) Factors affecting the rear-end conflicts of professional drivers., accepted for oral presentation at the 5th International Conference on Transportation Information and Safety, 14-17 July, Liverpool, UK. IEEE. (EI, Best Paper Award) https://doi.org/10.1109/ICTIS.2019.8883598

Awards

2022     HKIE-SSC Student Project Competition 2021 (Runner-up Award)

(Awarding Institution: Hong Kong Institution of Engineers – Safety Specialist Committee)

The Hong Kong Polytechnic University Postdoctoral Fellowship
2021     OSH Best Project Scholarship 2019/20, with a cash prize of HK$10,000

(Awarding Institution: HK Occupational Safety & Health Council)
2019     Best Paper Award at 5th ICTIS, 14-17 July, Liverpool, UK

HKSAR Reaching-Out Award for 2019 International Choice Modelling Conference (Kobe, Japan), with a cash prize of HK$10,000

(Awarding Institution: HKSAR Government Scholarship Fund)
2014     Outstanding Graduate Student of the province

Outstanding Graduate Student of the University (First Honor)

Outstanding Thesis for Bachelor’s degree
2011-2013     Comprehensive Scholarship of the University (3 times)

Outstanding Student of the academic year (2 times)

Summer Intern Excellent Paper, Outstanding person of Summer Intern

Research

Ongoing Research:

  1. Safety of drivers and passengers in tomorrow’s vehicles. KAIST, duration: 2022-2025, total amount: 200,000,000 KRW, PI
  • Dr Chen’s research focuses on the cooperation between driver and advanced driving systems, passenger behavior and demand, other vulnerable road users, and government policy to achieve mobility maximization, crash risk minimization, efficiency enhancements, and fast integration of autonomous services.

 

Previous Research:

  1. Safety of professional drivers: Analysis from the empirical, physiological and psychological perspectives. Research Grants Council HK, duration: 2018-2020, total amount: 567,070 HKD (approx. 73,000 USD), Key Participant
  2. Technical Study for Emergency Exits of Light Buses and Buses, Hong Kong Transport Department (Ref: TD 440/2019), duration: 2020-2021, total amount: 340,000 HKD (approx. 43,600 USD), Project Manager
  3. Modelling the Aviation Industry’s Response Strategy in a Pandemic – The implications of information ambiguity and traveler health reporting. Research Grants Council HK, duration: 2021-2024, total amount: 953,000 HKD (approx. 122,300 USD), Key Participant

Teaching

2023 Spring: MO610 Traffic Safety

Students

Introduction
Admission
Location
Privacy policy

3F-4F, Faculty wing, KAIST, 193, Munji-ro, Yuseong-gu, Daejeon, Republic of Korea

T. 042-350-1252~3 F. 042-350-1250
Copyright ⓒ 2022 KAIST 조천식모빌리티대학원. All Rights Reserved. For more information webmaster.
Created by PRESSCAT