東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A Direct Demand Model for Commuter R...

Kwong, Jennifer.

FindBook

Google Book

Amazon

博客來

A Direct Demand Model for Commuter Rail Ridership in the San Francisco Bay Area.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Direct Demand Model for Commuter Rail Ridership in the San Francisco Bay Area./
作者:	Kwong, Jennifer.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	61 p.
附註:	Source: Masters Abstracts International, Volume: 80-09.
Contained By:	Masters Abstracts International80-09.
標題:	Regional Studies. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10936962
ISBN:	9781392001165

A Direct Demand Model for Commuter Rail Ridership in the San Francisco Bay Area.
Kwong, Jennifer.

A Direct Demand Model for Commuter Rail Ridership in the San Francisco Bay Area. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 61 p.

Source: Masters Abstracts International, Volume: 80-09.

Thesis (M.S.)--University of California, Irvine, 2019.

This item must not be sold to any third party vendors.

This thesis documents the development of a direct travel demand model for commuter rail in the San Francisco Bay Area. A direct demand model simultaneously estimates trip generation and attraction, which for this thesis would be trips between an origin-destination pair of stations. In the model, the number of trips assigned to an origin-destination pair of stations is dependent on land use characteristics at the origin and destination stations in combination with travel time on the network during congested peak periods and via transit. The model uses a multiplicative direct demand model to estimate ordinary least square regression parameters for the origin-destination trips. From the model form, the resultant estimated regression parameters are elasticities, and as such, can be used to postulate the effects of the selected land use characteristics and network travel times upon the number of trips made. At both the origin and destination, the location of the station within the central business districts of the San Francisco Bay region had the largest effect on trip generation and attraction. Higher employment density at the destination and a larger number of workers per household at the origin had a positive effect on trips, while the total number of industrial workers at the destination and an increased number of two car households had a negative effect on trips. Longer travel times on transit appeared to have a positive effect on trips, yet longer travel times in congested peak periods appeared to have a negative effect on trips.

ISBN: 9781392001165Subjects--Topical Terms:

1672379
Regional Studies.

A Direct Demand Model for Commuter Rail Ridership in the San Francisco Bay Area.
LDR:02631nmm a2200337 4500 001 2208106
005 20190929184217.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9781392001165
035 $a (MiAaPQ)AAI10936962
035 $a (MiAaPQ)uci:15409
035 $a AAI10936962
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kwong, Jennifer. $3 3435117
245 1 0 $a A Direct Demand Model for Commuter Rail Ridership in the San Francisco Bay Area.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 61 p.
500 $a Source: Masters Abstracts International, Volume: 80-09.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: McNally, Michael.
502 $a Thesis (M.S.)--University of California, Irvine, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a This thesis documents the development of a direct travel demand model for commuter rail in the San Francisco Bay Area. A direct demand model simultaneously estimates trip generation and attraction, which for this thesis would be trips between an origin-destination pair of stations. In the model, the number of trips assigned to an origin-destination pair of stations is dependent on land use characteristics at the origin and destination stations in combination with travel time on the network during congested peak periods and via transit. The model uses a multiplicative direct demand model to estimate ordinary least square regression parameters for the origin-destination trips. From the model form, the resultant estimated regression parameters are elasticities, and as such, can be used to postulate the effects of the selected land use characteristics and network travel times upon the number of trips made. At both the origin and destination, the location of the station within the central business districts of the San Francisco Bay region had the largest effect on trip generation and attraction. Higher employment density at the destination and a larger number of workers per household at the origin had a positive effect on trips, while the total number of industrial workers at the destination and an increased number of two car households had a negative effect on trips. Longer travel times on transit appeared to have a positive effect on trips, yet longer travel times in congested peak periods appeared to have a negative effect on trips.
590 $a School code: 0030.
650 4 $a Regional Studies. $3 1672379
650 4 $a Transportation. $3 555912
650 4 $a Urban planning. $3 2122922
690 $a 0604
690 $a 0709
690 $a 0999
710 2 $a University of California, Irvine. $b Civil Engineering - M.S.. $3 3192630
773 0 $t Masters Abstracts International $g 80-09.
790 $a 0030
791 $a M.S.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10936962