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Activity-based pedestrian behavior s...

Liu, Xuan.

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Activity-based pedestrian behavior simulation inside intermodal facilities.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Activity-based pedestrian behavior simulation inside intermodal facilities./
作者:	Liu, Xuan.
面頁冊數:	198 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-08(E), Section: B.
Contained By:	Dissertation Abstracts International74-08B(E).
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3558963
ISBN:	9781303037849

Activity-based pedestrian behavior simulation inside intermodal facilities.
Liu, Xuan.

Activity-based pedestrian behavior simulation inside intermodal facilities. - 198 p.

Source: Dissertation Abstracts International, Volume: 74-08(E), Section: B.

Thesis (Ph.D.)--Mississippi State University, 2013.

This dissertation presents a functional unit that will be used within the Intermodal Simulator for the Analysis of Pedestrian Traffic (ISAPT). Such simulation systems can be used by infrastructure designers and public transport designers for evaluating and optimizing building designs and layouts. Activity-based travel demand analysis is one of the most important methods for studying pedestrian behavior in that it reflects how people travel inside intermodal facilities driven by a clear purpose based on their prior knowledge of the facility layout and its resources.

ISBN: 9781303037849Subjects--Topical Terms:

783781
Engineering, Civil.

Activity-based pedestrian behavior simulation inside intermodal facilities.
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245 1 0 $a Activity-based pedestrian behavior simulation inside intermodal facilities.
300 $a 198 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-08(E), Section: B.
500 $a Adviser: John M. Usher.
502 $a Thesis (Ph.D.)--Mississippi State University, 2013.
520 $a This dissertation presents a functional unit that will be used within the Intermodal Simulator for the Analysis of Pedestrian Traffic (ISAPT). Such simulation systems can be used by infrastructure designers and public transport designers for evaluating and optimizing building designs and layouts. Activity-based travel demand analysis is one of the most important methods for studying pedestrian behavior in that it reflects how people travel inside intermodal facilities driven by a clear purpose based on their prior knowledge of the facility layout and its resources.
520 $a In this dissertation, the proposed framework used for pedestrian travel simulation inside an intermodal facility is divided into three aspects, activity scheduling, destination/route choice analysis and rescheduling modeling. Discrete choice models were developed to describe in sufficient detail the various activity scheduling and destination choice behavior of pedestrians in the planning stage, as well as to describe their rescheduling behavior at the execution stage while they are traveling inside airports. In order to demonstrate the applicability of the models, a numerical example was provided for the activity choice model and a case study was also included of destination choice. Both revealed preference (RP) survey data and stated preference (SP) survey data have been used to calibrate and validate the discrete choice models.
520 $a The main conclusion of this dissertation is that modeling pedestrian behavior inside an intermodal facility is feasible. Use of this framework will provide simulation system with the capability to take into account natural pedestrian behavior, not only of what they will do, where they will perform it, and which path they will use to get there, but also enhancing the travel efficiency by providing rescheduling behavior under various traffic conditions. Due to the limited knowledge concerning pedestrian behavior in public transportation facilities, laboratory experiments were conducted in order to fill the blank. Both the setup of the laboratory experiments and the data collection methods employed in this research are original. Numerical examples have shown the validity and the applicability of each developed model for each of three types of behavior.
590 $a School code: 0132.
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773 0 $t Dissertation Abstracts International $g 74-08B(E).
790 1 0 $a Usher, John M., $e advisor
790 1 0 $a Strawderman, Lesley $e committee member
790 1 0 $a Jin, Mingzhou $e committee member
790 1 0 $a Babski-Reeves, Kari $e committee member
790 1 0 $a Campbell, Randy $e committee member
790 $a 0132
791 $a Ph.D.
792 $a 2013
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3558963