S. Joe Qin

Lingnan University

8 Castle Peak Road

Lingnan University

Hong Kong, New Territories

China

  • Lingnan University

SCHOLARLY PAPERS

3

DOWNLOADS

348

TOTAL CITATIONS

4

Scholarly Papers (3)

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1.

Air Corridor Planning for Urban Drone Delivery: Complexity Analysis and Comparison via Multi-Commodity Network Flow and Graph Search

Transportation Research Part E: Logistics and Transportation Review, volume 193, 2025[10.1016/j.tre.2024.103859]
Number of pages: 27 Posted: 30 Oct 2023 Last Revised: 30 Nov 2024
Lishuai Li, Xinyu He, Yanfang Mo, Zhankun Sun and S. Joe Qin
School of Data Science, City University of Hong Kong, City University of Hong Kong (CityU), Lingnan University, City University of Hong Kong (CityU) - Department of Management Sciences and Lingnan University
Downloads 199 (311,204)

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Unmanned aircraft system traffic management (UTM), Drone delivery, Multi-path planning, Network flow theory, Graph search

2.

A distributed route network planning method with congestion pricing for drone delivery services in cities

Transportation Research Part C: Emerging Technologies, volume 160, 2024[10.1016/j.trc.2024.104536]
Number of pages: 28 Posted: 25 Feb 2023 Last Revised: 30 Nov 2024
Xinyu He, Lishuai Li, Yanfang Mo, Jianxiang Huang and S. Joe Qin
City University of Hong Kong (CityU), School of Data Science, City University of Hong Kong, Lingnan University, The University of Hong Kong and Lingnan University
Downloads 139 (421,727)
Citation 4

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unmanned aerial vehicle, drone delivery, traffic management, multi-path planning, route network design

3.

A Novel Passenger Travel-Time and Destination Distribution Model for Day-Ahead Forecasting

Number of pages: 39 Posted: 14 Jun 2024
Yiren Liu, Lishuai Li, Yang Zhao, Yining Dong and S. Joe Qin
City University of Hong Kong (CityU), School of Data Science, City University of Hong Kong, affiliation not provided to SSRN, City University of Hong Kong (CityU) and Lingnan University
Downloads 10 (1,173,677)

Abstract:

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Subway systems, passenger flow modeling, travel time distribution, flow patterns, short-term forecasting.