Investigating variation in bus ridership rates within localised areas of a sub-tropical city

Kashfi, Syeed Anta (2016) Investigating variation in bus ridership rates within localised areas of a sub-tropical city. PhD thesis, Queensland University of Technology.

Abstract

This thesis makes a significant contribution to knowledge and understanding of 'Human Travel Behaviour' in relation to transportation research. It holds some important merits that have not been proposed before. It develops a new, comprehensive and meaningful relationship that includes bus transit ridership change due to weather variables, seasonality and transit quality of service within a single daily ridership rate estimation model. The research incorporated both temporal and spatial influences on ridership within a modelling structure, named as the Nested Model Structure. It provides a complete picture of ridership variation across the sub-tropical city of Brisbane, Australia.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

38 since deposited on 20 Mar 2016
32 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 92993
Item Type: QUT Thesis (PhD)
Supervisor: Bunker, Jonathan & Yigitcanlar, Tan
Keywords: Daily Bus Ridership, Weather, Complex Seasonality, Transit Quality of Service, Nested Model Structure, Transit, Apparent Temperature, Topographic Grade, Multiple Linear Regression, Service Intensity
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 20 Mar 2016 23:56
Last Modified: 20 Mar 2016 23:56

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page