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The informed traveller : a proposed travel demand management intervention technique

Thesis (MCom)--Stellenbosch University, 2018.

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Bibliographic Details
Main Author: Janicki, Steven Victor
Other Authors: Krygsman, Stephan C.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2018
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access_status_str Open Access
author Janicki, Steven Victor
author2 Krygsman, Stephan C.
author_browse Janicki, Steven Victor
Krygsman, Stephan C.
author_facet Krygsman, Stephan C.
Janicki, Steven Victor
author_sort Janicki, Steven Victor
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MCom)--Stellenbosch University, 2018.
format Thesis
id oai:scholar.sun.ac.za:10019.1/105212
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:40:52.447Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/105212 The informed traveller : a proposed travel demand management intervention technique Janicki, Steven Victor Krygsman, Stephan C. Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Logistics. Logistics. Transportation demand management -- Costs Transportation demand management -- Information services Global Positioning System UCTD Thesis (MCom)--Stellenbosch University, 2018. ENGLISH SUMMARY : It is widely believed that the average private vehicle user does not perceive their cost of travel accurately. This inaccurate perception of costs leads to a waste of resources and increased negative transport externalities. The focus of this research study was to investigate whether the sharing of actual personalised cost information could result in an alteration in travel behaviour, with the aim to assess whether sharing personalised cost information could be successfully implemented as a potential Travel Demand Management (TDM) measure. The steps followed throughout this study included conducting surveys and tracking individual travel patterns before and after exposure to information regarding travel behaviour. The questionnaire administered before the tracking period contained questions about demographics, perceptions of transport, and vehicle characteristics. The vehicle characteristics questions, coupled with the use of global positioning system (GPS) devices for vehicle tracking, were included in order to assist in the calculation of actual monetary and environmental costs incurred. Following the original questionnaire, the individuals were tracked for a total period of four weeks. The first week was used to determine a “base” travel behaviour pattern as this week was prior to any information sharing. The subsequent weeks allowed for any change in travel behaviour to be identified due to the information sharing, which took place every Monday after the base week. In total, 23 participants took part in this study and had their private vehicles tracked during the four week period. Participants also answered questions pertaining to their demographics and their perceptions regarding transportation. A second questionnaire was conducted after the four-week tracking period, this questionnaire assisted in identifying any shifts in perception regarding costs and emissions that the participants may have experienced. Of the 23 participants, 19 completed the final questionnaire. In addition, the dissertation attempted to determine whether certain subsets of the population were more likely to alter their travel behaviour patterns when exposed to certain motivational drivers. To achieve this, a secondary dataset was sourced from the Stellenbosch University Mobility Study, which took place in 2015 and, once cleaned, had a total of 853 participant responses that could be analysed (see Venter, Hitge, Krygsman & Thiart, 2018). Unfortunately, due to the relatively small number of participants and short tracking period of this study, no statistically significant findings were uncovered. However, an in-depth investigation into the various trends and graphs identified was made. One indicator that holds great promise regarding future TDM techniques such as this one was the shift in estimated cost, where a general increase of around 27% in perceived costs was experienced after participants were exposed to the informational invoices generated from the GPS tracking data. This indicator illustrates internalisation regarding the cost information shared with participants. If this internalisation is maintained for an extended period of time, it could potentially manifest into changes in travel behaviour. A longitudinal study of the 23 participants could potentially be conducted in the future to determine whether this manifestation did take place. In conclusion it is recommended that any future studies relating to similar work should investigate the impacts of informational TDMs on either the same 23 participants or larger sample group sizes, across a longer period of time, to allow for the identification of statistically significant alterations in behaviour. In the future, electric vehicles will become more prominent among private vehicle users. The use of these vehicles would reduce environmental impacts and alter monetary cost calculations regarding vehicle usage. Due to this it is suggested that the impacts of electric vehicles also be included in future research. AFRIKAANSE OPSOMMING : Geen opsomming beskikbaar. Masters 2018-11-26T10:09:01Z 2018-12-10T06:36:48Z 2018-11-26T10:09:01Z 2018-12-10T06:36:48Z 2018-12 Thesis http://hdl.handle.net/10019.1/105212 en_ZA Stellenbosch University xii, 145 pages ; illustrations, includes annexures application/pdf Stellenbosch : Stellenbosch University
spellingShingle Transportation demand management -- Costs
Transportation demand management -- Information services
Global Positioning System
UCTD
Janicki, Steven Victor
The informed traveller : a proposed travel demand management intervention technique
title The informed traveller : a proposed travel demand management intervention technique
title_full The informed traveller : a proposed travel demand management intervention technique
title_fullStr The informed traveller : a proposed travel demand management intervention technique
title_full_unstemmed The informed traveller : a proposed travel demand management intervention technique
title_short The informed traveller : a proposed travel demand management intervention technique
title_sort informed traveller a proposed travel demand management intervention technique
topic Transportation demand management -- Costs
Transportation demand management -- Information services
Global Positioning System
UCTD
url http://hdl.handle.net/10019.1/105212
work_keys_str_mv AT janickistevenvictor theinformedtravelleraproposedtraveldemandmanagementinterventiontechnique
AT janickistevenvictor informedtravelleraproposedtraveldemandmanagementinterventiontechnique