2026-09-22T09:15:03Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/49736 2023-07-11 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Seth Robbins (robbins.sd@gmail.com) on 2014-05-30T17:09:55Z Item is restricted until 2016-05-30T17:09:03Z Ouyang, Yanfeng Smith, Ryan 2014-05-30T17:07:08Z 2014-05-30T17:07:08Z 2016-09-22T20:59:22Z 2014-05 2014-05-30T17:07:08Z 2014-05 The design of public transit systems typically relies on discrete or continuous models to determine route layout and service frequency. To avoid computational complexity associate with discrete models, continuous models are proposed to formulate the problem in terms of a few key continuous variables. One drawback of many continuous models is that they typically assume a uniform distribution of passenger trips, however we know that trip origins and destinations are characteristically not uniform. The purpose of thesis is to (i) investigate how the design and operations of Daganzo (2010b) hybrid transit system is effected by spatially heterogeneous demand; and (ii) how large is and where to locate a transit network under a spatially heterogeneous demand. The spatially heterogeneity of the passenger demand is captured in the model by transforming a continuous passenger demand density function into zone-to-zone passenger demand. For (i), the optimal hybrid transit structure and operations is analyzed for two distinct spatial demand distributions each with a low and a high passenger demand scenario. The results show the effects on agency and user cost metrics when passenger demand is increased across the region and concentrated (i.e, the origins and destinations of passengers trips are grouped more tightly together in the center of the city). For (ii), automobiles are introduced as an alternative mode of travel and each person who choose this mode incurs a cost associated with not taking transit. This is formulated and people with an origin and/or a destination outside the transit service region are assumed to not take transit. For each transit mode a sensitivity analysis is performed on the penalty for not taking transit. The results indicate that the optimal size of the transit service region (i.e., the number of passengers served by the transit system) is dependent on the not taking transit penalty and the cost and operational characteristics of the transit mode. Finally, multiple future research ideas are presented to illustrate some of the other possibilities that may further enhance transit network design. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-04-30T21:32:11Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Smith_Ryan.pdf: 1131692 bytes, checksum: 1d4d48b18069d999f9b06d8281033c50 (MD5) Made available in DSpace on 2014-05-30T17:07:08Z (GMT). No. of bitstreams: 2 Ryan_Smith.pdf: 1131692 bytes, checksum: 1d4d48b18069d999f9b06d8281033c50 (MD5) license.txt: 4060 bytes, checksum: 77a5aa203f2427addfd36c53c6ebeef3 (MD5) Restriction data tranferred 2014-07-01T11:39:17-05:00 Original Data Group with Access UIUC Users [automated] Release Date: 2016-05-30 12:09:03 UTC Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 49787 on 2016-09-22T20:59:22Z. http://hdl.handle.net/2142/49736 en Copyright 2014 Ryan Smith transit network design hybrid network heterogeneous demand Large-scale transit service network design under continuous heterogeneous demand text Civil & Environmental Eng 1251 Civil Engineering 0106 University of Illinois at Urbana-Champaign Thesis M.S. MS:Civil Engineering -UIUC 10KS0106MS