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Yang, Hai
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European journal of operational research : EJOR
2
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Transportation science : a journal of the Institute for Operations Research and the Management Sciences
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ECONIS (ZBW)
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An integrated network equilibrium model of urban location and travel choices
Yang, Hai
- In:
Journal of regional science
38
(
1998
)
4
,
pp. 575-598
Persistent link: https://www.econbiz.de/10001252801
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2
Departure time choice equilibrium and tolling strategies for a bottleneck with stochastic capacity
Long, Jiancheng
;
Yang, Hai
;
Szeto, W. Y.
- In:
Transportation science
56
(
2022
)
1
,
pp. 79-102
Persistent link: https://www.econbiz.de/10012820518
Saved in:
3
Bounding the inefficiency of logit-based stochastic user equilibrium
Guo, Xiaolei
;
Yang, Hai
;
Liu, Tian-liang
- In:
European journal of operational research : EJOR
201
(
2010
)
2
,
pp. 463-469
Persistent link: https://www.econbiz.de/10003924795
Saved in:
4
Inefficiency of logit-based stochastic user equilibrium in a traffic network under ATIS
Huang, Hai-Jun
;
Liu, Tian-lang
;
Guo, Xiaolei
;
Yang, Hai
- In:
Networks and spatial economics : a journal of …
11
(
2011
)
2
,
pp. 255-269
Persistent link: https://www.econbiz.de/10009307641
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5
Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions
Zhu, Zheng
;
Li, Xinwei
;
Liu, Wei
;
Yang, Hai
- In:
Transportation research / E : an international journal
131
(
2019
),
pp. 168-192
Persistent link: https://www.econbiz.de/10012129081
Saved in:
6
Day-to-day flow dynamics for stochastic user equilibrium and a general lyapunov function
Xiao, Feng
;
Shen, Minyu
;
Xu, Zhengtian
;
Li, Ruijie
; …
- In:
Transportation science : a journal of the Institute for …
53
(
2019
)
3
,
pp. 683-694
Persistent link: https://www.econbiz.de/10012060293
Saved in:
7
New Exact Algorithm for the integrated train timetabling and rolling stock circulation planning problem with stochastic demand
Pan, Hanchuan
;
Yang, Lixing
;
Liang, Zhe
;
Yang, Hai
- In:
European journal of operational research : EJOR
316
(
2024
)
3
,
pp. 906-929
Persistent link: https://www.econbiz.de/10014576830
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