Mathew Hounsell

Mathew Hounsell
University of Technology Sydney | UTS · School of Civil and Environmental Engineering

Master of Sustainable Futures (Research)
Doctoral Candidate for Doctor of Philosophy (Engineering)

About

21
Publications
498
Reads
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15
Citations
Citations since 2016
21 Research Items
15 Citations
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Introduction
Mr Hounsell (he/him) is a researcher at the University of Technology Sydney (UTS) Transport Research Centre, focusing on analytics of large empirical datasets, and development of holistic customer-centric sustainable solutions for Transport and Land-Use Systems (TALUS). Videos on his research are uploaded to YouTube: https://www.youtube.com/channel/UCQNE2bNFo7BvnftR8hUSVfg
Education
August 2016 - January 2020
University of Technology Sydney
Field of study
  • Sustainable Futures (Transport Analytics)
January 1998 - December 2000

Publications

Publications (21)
Thesis
Full-text available
This thesis contributes to development of the trans-disciplinary field of Transport Analytics, which aims to facilitate a sustainable customer-centric approach to transport service delivery through continuously measuring and optimising transport operations and through better targeting of customer preferences and needs. Sydney’s Opal Electronic Ti...
Research Proposal
Full-text available
Examine transit’s four aspects of customer perception, operational efficiency, customer values, and customer aligned key performance indicators — with a focus on measuring, stabilising, and reducing end-to-end running times and running time variability — to facilitate the service partners’ continuous improvement cycles, in order to deliver accessib...
Conference Paper
Full-text available
This paper examines philosophical frameworks of public transport service delivery-the Strategic Triangle and Service Quality Loop. The first considers the context of a public sector organisation appropriating resource and the second considers how public transport service partners could provide services that passengers perceive to be high quality. T...
Conference Paper
Full-text available
This paper examines empirical data from public transport operations in Sydney, to assess if the mean end-to-end runtime, and its standard deviation, are useful measurements to monitor the reliability and efficiency of the public transport services delivered. This paper shows that the mean plus two standard deviations for end-to-end runtimes was an...
Research Proposal
Full-text available
The additional data includes Presentation Slides for the Stage 1 to 2 and Stage 2 to 3 transitions; as well as the references for Stage 1 to 2 in both XML and Text Formats. This Stage 1 to 2 literature review is cited by thesis: Hounsell, M. (2020). Using TOTOR datasets in transport operations - Facilitating an empirically-driven continuous-optim...
Conference Paper
Full-text available
Patronage on the Inner West Light Rail is exceeding the forecastsdeveloped for the design of the Dulwich Hill extension. UTS has been working with students, Transdev and TFNSWto examine options to increase service delivery using the existing assets to cope with thisincreased demand.In 2018, UTS completed a research program to determine how saving f...
Conference Paper
Full-text available
This paper examines the impact of runtime variability on the ability of an operator to maintain on-time running and deliver the service promised to customers. Transport for New South Wales (NSW) published collected observations on operations of buses in NSW. From these observation the inbound running times from the 333-routetravelling from North Bo...

Projects

Projects (2)
Archived project
Masters of Sustainable Futures (Research)
Project
This research programme aims to assist Transport for NSW (TfNSW), and other public transport service providers to improve the perceived quality and thus the farebox recovery ratios of their services. Research shows that organisations can improve the perceived quality of their services by transforming from a product-centric approach — developing products and then using marketing to create customers — towards customer-centricity — developing services designed for customers that satisfy their intrinsic needs. Decision-makers within the Australian transport industry have tried to initiate this transformation; however, change has stalled and there is uncertainty on what approach to pursue. At the moment, there are few clear frameworks and methods for truly customer-centric transport delivery. Using Australian and European case studies, this research will investigate world’s best practice in understanding how public transport services attract customers. The research will identify ways to shift transport planning, engineering, and analytics practice from a static product-centric approach, towards a continuous optimisation approach focused on sufficiently satisfying (satisficing) customer needs identified using empirical measurements of expressed preferences. Hounsell (2020) has demonstrated that those empirical measurements can be derived from Big Data while protecting the customer’s right to privacy.