Guiyun Feng

University of Minnesota - Minneapolis - Industrial & System Engineering

111 Church Street S.E.

Minneapolis, MN 55455

United States

SCHOLARLY PAPERS

4

DOWNLOADS
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in Total Papers Downloads

1,282

CITATIONS
Rank 22,225

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Top 22,225

in Total Papers Citations

20

Scholarly Papers (4)

1.

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

Number of pages: 48 Posted: 01 May 2017 Last Revised: 15 Dec 2018
Guiyun Feng, Guangwen Kong and Zizhuo Wang
University of Minnesota - Minneapolis - Industrial & System Engineering, University of Minnesota - Twin City and University of Minnesota - Minneapolis - Industrial & System Engineering
Downloads 765 (31,247)
Citation 15

Abstract:

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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 University of Minnesota - Minneapolis - Industrial & System Engineering
Downloads 351 (83,665)
Citation 4

Abstract:

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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 University of Minnesota - Minneapolis - Industrial & System Engineering
Downloads 108 (248,563)
Citation 1

Abstract:

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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 (CityUHK)
Downloads 58 (358,385)
Citation 1

Abstract:

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