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W
Won Do Lee
Ajou University
7
H指数
22
论文数
236
被引数
0
相关解读
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7
发表时间
发表时间
IF
被引数
The association between socioeconomic status and mobility reductions in the early stage of England's COVID-19 epidemic
HEALTH & PLACE
IF
4.1
2021-05-01
60
OA
AI
Lee, Won Do; Qian, Matthias; Schwanen, Tim
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Understanding policing demand and deployment through the lens of the city and with the application of big data
URBAN STUDIES
IF
4.1
2021-02-26
9
OA
AI
Ellison, Mark; Bannister, Jon; Lee, Won Do; Haleem, Muhammad Salman
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Optimizing copious activity type classes based on classification accuracy and entropy retention
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF
6.1
2020-09-01
1
OA
AI
Ectors, Wim; Reumers, Sofie; Lee, Won Do; Kochan, Bruno; Janssens, Davy; Bellemans, Tom; Wets, Geert
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Developing an optimised activity type annotation method based on classification accuracy and entropy indices
TRANSPORTMETRICA A-TRANSPORT SCIENCE
IF
3.1
2017-06-05
13
OA
AI
Ectors, Wim; Reumers, Sofie; Lee, Won Do; Choi, Keechoo; Kochan, Bruno; Janssens, Davy; Bellemans, Tom; Wets, Geert
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Investigating pedestrian walkability using a multitude of Seoul data sources
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
IF
3.4
2017-05-15
8
OA
AI
Lee, Won Do; Ectors, Wim; Bellemans, Tom; Kochan, Bruno; Janssens, Davy; Wets, Geert; Choi, Keechoo; Joh, Chang-Hyeon
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An examination of the accuracy of an activity-based travel simulation against smartcard and navigation device data
TRAVEL BEHAVIOUR AND SOCIETY
IF
5.7
2017-04-01
6
OA
AI
Hwang, Jeong Hwan; Kim, Hyunmyung; Cho, Sungjin; Bellemans, Tom; Lee, Won Do; Choi, Keechoo; Cheon, Seung Hoon; Joh, Chang-Hyeon
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Analyzing changes in travel behavior in time and space using household travel surveys in Seoul Metropolitan Area over eight years
TRAVEL BEHAVIOUR AND SOCIETY
IF
5.7
2014-01-01
27
PRE
AI
Choi, Jinmu; Lee, Won Do; Park, Woon Ho; Kim, Chansung; Choi, Keechoo; Joh, Chang-Hyeon
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研究方向
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合作学者
合作期刊
T
Tim Schwanen
H 指数: 69 · 论文数: 283
G
Geert Wets
H 指数: 59 · 论文数: 818
K
Keechoo Choi
H 指数: 34 · 论文数: 305
D
Davy Janssens
H 指数: 34 · 论文数: 350
T
Tom Bellemans
H 指数: 29 · 论文数: 221
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