Chinh Q. Ho

ORCID: 0000-0001-8006-0123
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About
Contact & Profiles
Research Areas
  • Transportation Planning and Optimization
  • Urban Transport and Accessibility
  • Transportation and Mobility Innovations
  • Economic and Environmental Valuation
  • Sharing Economy and Platforms
  • Urban and Freight Transport Logistics
  • Human Mobility and Location-Based Analysis
  • Decision-Making and Behavioral Economics
  • Digital Economy and Work Transformation
  • Customer Service Quality and Loyalty
  • Behavioral Health and Interventions
  • Smart Parking Systems Research
  • Housing Market and Economics
  • Older Adults Driving Studies
  • Service and Product Innovation
  • Information Systems Theories and Implementation
  • Mobile Crowdsensing and Crowdsourcing
  • Digital Platforms and Economics
  • Vehicle License Plate Recognition
  • Energy, Environment, and Transportation Policies
  • Traffic control and management
  • Innovative Approaches in Technology and Social Development
  • Aviation Industry Analysis and Trends
  • Transport and Economic Policies
  • Consumer Market Behavior and Pricing

The University of Sydney
2015-2024

University of Technology Sydney
2020

10.1016/j.tra.2020.12.015 article EN Transportation Research Part A Policy and Practice 2021-01-21

Mobility as a service (MaaS) is an emerging framework that integrates multiple transport services into single and intuitive platform. This paper contrasts the urban passenger markets in developed versus developing economies to understand challenges of integrating mobility using MaaS framework, with focus on decarbonization sustainability societal goals. In addition, we conducted Life Cycle Assessment carbon emissions energy requirements travel alternatives city Santiago, Chile, shed light...

10.1016/j.tranpol.2023.10.013 article EN cc-by Transport Policy 2023-10-31

10.1016/j.tra.2021.05.010 article EN Transportation Research Part A Policy and Practice 2021-06-01

Mobility service bundling has received a lot of attention from researchers and practitioners due to its centrality as Service (MaaS) business models potential foster sustainable travel behavior. Stated choice studies have date been used explore the willingness pay for MaaS bundles their components. Despite an increasing number academic commercial trials, there is surprising dearth research on how design in first place. Comparative learning further limited designs experiments studied differ...

10.1016/j.tra.2020.09.021 article EN cc-by Transportation Research Part A Policy and Practice 2020-10-23

Customer overall satisfaction towards a public transport system depends mainly on two factors: how satisfied they are with different aspects that make up the service and important each of is to customer. Traditionally, researchers use revealed preference surveys ordered probit/logit models estimate contribution attribute satisfaction. This paper aims verify possibility replacing traditional method more cost-effective best-worst case 1 method, using customer survey recently conducted in...

10.1016/j.tra.2019.10.012 article EN cc-by Transportation Research Part A Policy and Practice 2019-11-02

10.1016/j.tra.2022.09.004 article EN Transportation Research Part A Policy and Practice 2022-09-20

10.1016/j.rtbm.2025.101364 article EN cc-by Research in Transportation Business & Management 2025-04-04

Abstract The positive effects that Mobility-as-a-Service (MaaS) is envisioned to have on transport can only be reaped if people are using MaaS. Yet, the understanding of user perspective MaaS incomplete and primarily based experiments with non-users. To address this shortcoming, paper reports experiences from a trial high-level service in Sydney, Australia. Based questionnaires interviews, it analyses who participated why, whether experience satisfied their motives. contribution literature...

10.1186/s12544-023-00612-2 article EN cc-by European Transport Research Review 2023-10-27

10.1016/j.tra.2014.12.002 article EN Transportation Research Part A Policy and Practice 2014-12-31

A number of studies have found that the willingness-to-pay (WTP) results estimated from revealed preference (RP) and stated (SP) data tend to be different. In this paper, we empirically estimate values travel time savings an SP set RP compare findings within study between studies. The evidence shows design a choice experiment has significant impact on ratio WTP reveals presenting full distribution address random variation in scenarios, along with using real market reference alternative as...

10.1080/19427867.2018.1546806 article EN Transportation Letters 2018-11-14

Random regret minimization (RRM) interpretations of discrete choices are growing in popularity as a complementary modeling paradigm to random utility maximization (RUM). While behaviorally very appealing the sense accommodating not choosing best alternative, studies date suggest that differences willingness pay estimates, choice elasticities, and probabilities compared RUM small. However, evidence is largely based on simple multinomial logit (MNL) form RRM model. This paper revisits this...

10.1061/(asce)te.1943-5436.0000827 article EN Journal of Transportation Engineering 2016-01-19
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