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Uncovering Urban Mobility Patterns in a Compact City Using Smartcard Data : = A Trip-Pair Clustering Based Approach.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Uncovering Urban Mobility Patterns in a Compact City Using Smartcard Data :/
Reminder of title:	A Trip-Pair Clustering Based Approach.
Author:	Keong, Ku Weng.
Description:	1 online resource (103 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-10, Section: A.
Contained By:	Dissertations Abstracts International85-10A.
Subject:	Urban planning. -
Online resource:	click for full text (PQDT)
ISBN:	9798382222851

Uncovering Urban Mobility Patterns in a Compact City Using Smartcard Data : = A Trip-Pair Clustering Based Approach.
Keong, Ku Weng.

Uncovering Urban Mobility Patterns in a Compact City Using Smartcard Data :A Trip-Pair Clustering Based Approach. - 1 online resource (103 pages)

Source: Dissertations Abstracts International, Volume: 85-10, Section: A.

Thesis (Ph.D.)--University of Macau, 2023.

Includes bibliographical references

This study aims to understand urban mobility patterns in a compact city by clustering passenger trip-pair information from smartcard data. A two-stage model is proposed to cluster passengers based on their trip-pair patterns by using the data from the bus system in Macao, where heavily relies on bus services, with over 40% of mechanized trip being facilitated by buses. For paying the fare, the tap-upon-boarding smartcard is the most used media by passengers. By clustering the passengers, it can identify different travel characteristics, including possible identities, mobility patterns, and regularity. The study also reveals the travel characteristics of Macao, such as the compactness planning and operation by round-the-clock manner.The clustering results have important implications for policy-makers and authorities. Understanding demand and activity patterns promptly can help with appropriate real-life operational strategies such as providing customized service to particular groups. Transit authorities and agencies can implement specific policies based on cluster characteristics, such as scheduling a special timetable to handle regular imbalance travel demand. Additionally, understanding the mobility pattern of each cluster can optimize bus schedules and route planning. The study concludes by highlighting the importance of identifying and formulating tailored policies in line with passenger characteristics and preventing ignorance of potential travel demand.Overall, this study demonstrates the potential of using trip-pair information from smartcard data to cluster passengers and provide valuable insights into urban mobility patterns, ultimately leading to more efficient and effective public transit systems.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382222851Subjects--Topical Terms:

1180826
Urban planning.
Subjects--Index Terms:

Urban mobility patternsIndex Terms--Genre/Form:

554714
Electronic books.

Uncovering Urban Mobility Patterns in a Compact City Using Smartcard Data : = A Trip-Pair Clustering Based Approach.
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