東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Testing Game Theoretic Ground-Based ...

Flood, Scott E.

Linked to FindBook

Google Book

Amazon

博客來

Testing Game Theoretic Ground-Based Route Choice Behavior Models for Air Travelers' Utility.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Testing Game Theoretic Ground-Based Route Choice Behavior Models for Air Travelers' Utility./
Author:	Flood, Scott E.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	146 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.
Contained By:	Dissertation Abstracts International79-02A(E).
Subject:	Economic theory. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10624175
ISBN:	9780355298406

Testing Game Theoretic Ground-Based Route Choice Behavior Models for Air Travelers' Utility.
Flood, Scott E.

Testing Game Theoretic Ground-Based Route Choice Behavior Models for Air Travelers' Utility. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 146 p.

Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.

Thesis (D.B.A.)--Capella University, 2017.

Understanding what drives a traveler's route choice behavior is vital information for the transportation industry. In the setting of behavioral economics, a traveler's route choice reflects the traveler's preferences as well as any influence that public policy place on an individual's travel behavior. This quantitative study followed previous scholarly authors by using a game theoretic framework and multiple regression analysis to investigate the phenomenon of route choice behaviors. Additionally, the study sought to rearrange the ground-based route factors into air route constructs to test the model's fit against data from 10 selected air routes. Due to the manner in which utility was being manually determined, initial analysis attempts encountered problems with multicollinearity between the dependent variable (utility- air route preference) and the independent variable of travel time. IBM SPSS conjoint analysis, however, produced significant results as well as differentiated utility values for each route. Conclusions drawn included that the theoretical framework, ground-based factors, and methodology were able to be converted into air route factors that showed correlations with the dependent variable of utility. Recommendations for future studies are to add a construct for ticket price, and stated preference surveys for studying potential differential effects of demographic information.

ISBN: 9780355298406Subjects--Topical Terms:

1556984
Economic theory.

Testing Game Theoretic Ground-Based Route Choice Behavior Models for Air Travelers' Utility.
LDR:02368nmm a2200301 4500 001 2160986
005 20180803131930.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9780355298406
035 $a (MiAaPQ)AAI10624175
035 $a (MiAaPQ)capella:19767
035 $a AAI10624175
040 $a MiAaPQ $c MiAaPQ
100 1 $a Flood, Scott E. $3 3348922
245 1 0 $a Testing Game Theoretic Ground-Based Route Choice Behavior Models for Air Travelers' Utility.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 146 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.
500 $a Adviser: Tony Pizur.
502 $a Thesis (D.B.A.)--Capella University, 2017.
520 $a Understanding what drives a traveler's route choice behavior is vital information for the transportation industry. In the setting of behavioral economics, a traveler's route choice reflects the traveler's preferences as well as any influence that public policy place on an individual's travel behavior. This quantitative study followed previous scholarly authors by using a game theoretic framework and multiple regression analysis to investigate the phenomenon of route choice behaviors. Additionally, the study sought to rearrange the ground-based route factors into air route constructs to test the model's fit against data from 10 selected air routes. Due to the manner in which utility was being manually determined, initial analysis attempts encountered problems with multicollinearity between the dependent variable (utility- air route preference) and the independent variable of travel time. IBM SPSS conjoint analysis, however, produced significant results as well as differentiated utility values for each route. Conclusions drawn included that the theoretical framework, ground-based factors, and methodology were able to be converted into air route factors that showed correlations with the dependent variable of utility. Recommendations for future studies are to add a construct for ticket price, and stated preference surveys for studying potential differential effects of demographic information.
590 $a School code: 1351.
650 4 $a Economic theory. $3 1556984
650 4 $a Business administration. $3 3168311
690 $a 0511
690 $a 0310
710 2 $a Capella University. $b Business and Technology. $3 2095645
773 0 $t Dissertation Abstracts International $g 79-02A(E).
790 $a 1351
791 $a D.B.A.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10624175