Timothy Chong Ji Wong

Personal Details

First Name:	Timothy
Middle Name:	Chong Ji
Last Name:	Wong
Suffix:
RePEc Short-ID:	pwo264
	[This author has chosen not to make the email address public]
Terminal Degree:	2015 Department of Economics; University of California-Irvine (from RePEc Genealogy)

Affiliation

Department of Economics
National University of Singapore (NUS)

Singapore, Singapore
http://www.fas.nus.edu.sg/ecs/
RePEc:edi:denussg (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Currie, Graham & Wong, Timothy, 2020. "Workshop 4 report: Realising the potential benefits of demand-responsive travel," Research in Transportation Economics, Elsevier, vol. 83(C).

   Cited by:

   1. Stanley, John, 2023. "Opportunity equity in strategic urban land use transport planning: Directions in London and Vancouver," Transport Policy, Elsevier, vol. 136(C), pages 137-146.

2. Wong, Timothy & Brownstone, David & Bunch, David S., 2019. "Aggregation biases in discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 210-221.

   Cited by:

   1. Lee, Ungki & Kang, Namwoo & Lee, Ikjin, 2020. "Choice data generation using usage scenarios and discounted cash flow analysis," Journal of choice modelling, Elsevier, vol. 37(C).
   2. Brownstone, David & Li, Phillip, 2018. "A model for broad choice data," Journal of choice modelling, Elsevier, vol. 27(C), pages 19-36.
   3. Shiva Habibi & Emma Frejinger & Marcus Sundberg, 2019. "An empirical study on aggregation of alternatives and its influence on prediction in car type choice models," Transportation, Springer, vol. 46(3), pages 563-582, June.
   4. O. Lunyakov V. & N. Lunyakova A. & О. Луняков В. & Н. Лунякова А., 2018. "Развитие каналов кредитования в условиях перехода к цифровой экономике: моделирование спроса // The Development of Credit Channels in the transition to the Digital Economy: Demand Modelling," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(5), pages 76-89.

3. Wong, Timothy, 2014. "Lights, camera, legal action! The effectiveness of red light cameras on collisions in Los Angeles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 165-182.

   Cited by:

   1. Ellen G. Cohn & Suman Kakar & Chloe Perkins & Rebecca Steinbach & Phil Edwards, 2020. "Red light camera interventions for reducing traffic violations and traffic crashes: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(2), June.
   2. Baratian-Ghorghi, Fatemeh & Zhou, Huaguo & Zech, Wesley C., 2016. "Red-light running traffic violations: A novel time-based method for determining a fine structure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 55-65.
   3. Justin Gallagher & Paul J. Fisher, 2020. "Criminal Deterrence When There Are Offsetting Risks: Traffic Cameras, Vehicular Accidents, and Public Safety," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 202-237, August.

More information

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Co-authorship network on CollEc

Corrections

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