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020 ▼a 9780438323773
035 ▼a (MiAaPQ)AAI10790888
035 ▼a (MiAaPQ)berkeley:17723
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 001
1001 ▼a Zhang, Danqing.
24510 ▼a Social-enabled Urban Data Analytics.
260 ▼a [S.l.]: ▼b University of California, Berkeley., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 100 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Alexei Pozdnukhov.
5021 ▼a Thesis (Ph.D.)--University of California, Berkeley, 2018.
520 ▼a Increasing traffic congestion, vehicle emissions and commuters delay have been major challenges for urban transportation systems for years. The economic cost of traffic congestion in the US is Increasing from 200 billion in 2013 to 293 billion i
520 ▼a The first part of the dissertation focus on modeling social influence on human behavior from a graph modeling perspective, while conforming to the discrete choice modeling framework. The proposed models can be used to model how friends influence
520 ▼a This dissertation also develops an algorithmic procedure to incorporate social information into population synthesizer, which is an essential step to incorporate social information into the transportation simulation framework. Agent-based modeli
590 ▼a School code: 0028.
650 4 ▼a Systems science.
650 4 ▼a Transportation.
690 ▼a 0790
690 ▼a 0709
71020 ▼a University of California, Berkeley. ▼b Civil and Environmental Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0028
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997613 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033