| LDR | | 01946nmm uu200397 4500 |
| 001 | | 000000331788 |
| 005 | | 20240805165351 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438126763 |
| 035 | |
▼a (MiAaPQ)AAI10903070 |
| 035 | |
▼a (MiAaPQ)umichrackham:001194 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 307 |
| 100 | 1 |
▼a Fishelson, James. |
| 245 | 10 |
▼a Planning for a Shared Automated Transportation Future. |
| 260 | |
▼a [S.l.] :
▼b University of Michigan.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 218 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A. |
| 500 | |
▼a Adviser: Jonathan Levine. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Michigan, 2018. |
| 520 | |
▼a Vehicle automation represents the greatest revolution in transportation since the automobile itself. However, the greater the potential impact of a new technology, the harder the future is to predict |
| 520 | |
▼a This dissertation seeks to understand and model the conditions under which SAVs are more likely to succeed. It constructs a simplified and flexible agent-based model to test system performance under a wide variety of situations, including varyin |
| 520 | |
▼a The final modelling runs examine mode choice, comparing SAVs with transit and PAVs across different urban densities. These results suggest that SAVs obtain their greatest mode share over medium densities between approximately 500 and 4,000 peopl |
| 590 | |
▼a School code: 0127. |
| 650 | 4 |
▼a Urban planning. |
| 690 | |
▼a 0999 |
| 710 | 20 |
▼a University of Michigan.
▼b Urban and Regional Planning. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12A(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0127 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000566
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |