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Guiyun Feng

University of Minnesota - Minneapolis - Industrial & System Engineering

111 Church Street S.E.

Minneapolis, MN 55455

United States

  • University of Minnesota - Minneapolis - Industrial & System Engineering

SCHOLARLY PAPERS

4

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Top 43,867

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2,864

TOTAL CITATIONS
Rank 19,564

SSRN RANKINGS

Top 19,564

in Total Papers Citations

80

Scholarly Papers (4)

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1.

We are on the Way: Analysis of On-Demand Ride-Hailing Systems

Number of pages: 51 Posted: 01 May 2017 Last Revised: 17 Apr 2020
Guiyun Feng, Guangwen Kong and Zizhuo Wang
University of Minnesota - Minneapolis - Industrial & System Engineering, Temple University - Department of Statistics, Operations, and Data Science and The Chinese University of Hong Kong, Shenzhen
Downloads 1,919 (21,539)
Citation 59

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on-demand ride-hailing; queueing systems; matching mechanism, congestion, idle time strategies

2.

On the Relation Between Several Discrete Choice Models

Operations Research
Number of pages: 22 Posted: 07 Mar 2015 Last Revised: 14 Mar 2017
Guiyun Feng, Xiaobo Li and Zizhuo Wang
University of Minnesota - Minneapolis - Industrial & System Engineering, National University of Singapore and The Chinese University of Hong Kong, Shenzhen
Downloads 567 (120,556)
Citation 17

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welfare function, random utility model, representative agent model, semi-parametric choice model

3.

On Substitutability and Complementarity in Discrete Choice Models

Number of pages: 14 Posted: 15 Mar 2017
Guiyun Feng, Xiaobo Li and Zizhuo Wang
University of Minnesota - Minneapolis - Industrial & System Engineering, National University of Singapore and The Chinese University of Hong Kong, Shenzhen
Downloads 262 (290,667)
Citation 3

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choice models; substitutability; complementarity

4.

Conditional Monte Carlo: A Change-of-Variables Approach

Number of pages: 41 Posted: 21 Mar 2016
Guiyun Feng and Guangwu Liu
University of Minnesota - Minneapolis - Industrial & System Engineering and City University of Hong Kong (CityU)
Downloads 116 (613,149)
Citation 1

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Conditional Monte Carlo, sensitivity estimation, change-of-variables approach