LDR | | 02067nmm uu200421 4500 |
001 | | 000000333016 |
005 | | 20240805172029 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438323773 |
035 | |
▼a (MiAaPQ)AAI10790888 |
035 | |
▼a (MiAaPQ)berkeley:17723 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 001 |
100 | 1 |
▼a Zhang, Danqing. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a University of California, Berkeley.
▼b Civil and Environmental Engineering. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997613
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |