Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Investigating the impact of activity behaviour on transport mode choice and use in Cape Town

Thesis (MComm)--Stellenbosch University, 2021.

Saved in:
Bibliographic Details
Main Author: Viljoen, Gabrie
Other Authors: Krygsman, Stephan C.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2021
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867614109409738752
access_status_str Open Access
author Viljoen, Gabrie
author2 Krygsman, Stephan C.
author_browse Krygsman, Stephan C.
Viljoen, Gabrie
author_facet Krygsman, Stephan C.
Viljoen, Gabrie
author_sort Viljoen, Gabrie
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MComm)--Stellenbosch University, 2021.
format Thesis
id oai:scholar.sun.ac.za:10019.1/109835
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:46:49.061Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/109835 Investigating the impact of activity behaviour on transport mode choice and use in Cape Town Viljoen, Gabrie Krygsman, Stephan C. Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Logistics. Transportation -- South Africa -- Cape Town Transportation -- Simulation methods Choice of transportation Transportation -- Planning -- Methodology Transportation -- Social aspects Transportation policy -- South Africa -- Cape Town Transportation -- Psychological aspects Travel time (Traffic engineering) Trip generation -- South Africa -- Cape Town UCTD Thesis (MComm)--Stellenbosch University, 2021. ENGLISH ABSTRACT: The paper covers the influence of activity behaviour on the mode choice, behaviour and transport use of individuals. A trip-based model was used to forecast passenger demand for new transport projects in Cape Town. The trip-based model has proven theoretical shortcomings when used to forecast passenger demand for new projects. Previous work conducted on transport behaviour identified activity-based methodologies as a solution to the shortcomings of trip-based transport models. The household travel survey conducted in Cape Town in 2012 included a trip diary. The data from the trip diary was used to identify activity-based variables that could improve the accuracy of the transport demand model used in Cape Town. The trip diary was analysed, and descriptive and predictive statistics were used to identify variables that could be used to help explain the relationship between activities and modal choices of individuals. The main findings from the research are that the type of activity, distance travelled, and number of activities undertaken had an influence on modal choice. The activity-profile of low-income individuals differed from that of high-income individuals and this had an influence on the transport behaviour of individuals. High-income individuals could participate in more activities per day and lower-income individuals made more use of public transport. The research also found when comparing daily time budgets that high-income individuals were more sensitive to time and would spend more money to save time whilst low-income individuals were less sensitive to time and would prefer lower cost transport that might take a little longer to reach a destination. The variables identified are candidates to be included in new transport models, but the research was conducted using trip diaries and the results from the diaries were sufficient for this research. If a full activity-based transport model were to be built for the City of Cape Town, the research would suggest activity diaries to be conducted as the input data for the model. AFRIKAANSE OPSOMMING : Geen opsomming beskikbaar. Masters 2021-02-11T22:23:08Z 2021-04-21T14:28:15Z 2021-02-11T22:23:08Z 2021-04-21T14:28:15Z 2021-03 Thesis http://hdl.handle.net/10019.1/109835 en_ZA Stellenbosch University xii, 123 pages application/pdf Stellenbosch : Stellenbosch University
spellingShingle Transportation -- South Africa -- Cape Town
Transportation -- Simulation methods
Choice of transportation
Transportation -- Planning -- Methodology
Transportation -- Social aspects
Transportation policy -- South Africa -- Cape Town
Transportation -- Psychological aspects
Travel time (Traffic engineering)
Trip generation -- South Africa -- Cape Town
UCTD
Viljoen, Gabrie
Investigating the impact of activity behaviour on transport mode choice and use in Cape Town
title Investigating the impact of activity behaviour on transport mode choice and use in Cape Town
title_full Investigating the impact of activity behaviour on transport mode choice and use in Cape Town
title_fullStr Investigating the impact of activity behaviour on transport mode choice and use in Cape Town
title_full_unstemmed Investigating the impact of activity behaviour on transport mode choice and use in Cape Town
title_short Investigating the impact of activity behaviour on transport mode choice and use in Cape Town
title_sort investigating the impact of activity behaviour on transport mode choice and use in cape town
topic Transportation -- South Africa -- Cape Town
Transportation -- Simulation methods
Choice of transportation
Transportation -- Planning -- Methodology
Transportation -- Social aspects
Transportation policy -- South Africa -- Cape Town
Transportation -- Psychological aspects
Travel time (Traffic engineering)
Trip generation -- South Africa -- Cape Town
UCTD
url http://hdl.handle.net/10019.1/109835
work_keys_str_mv AT viljoengabrie investigatingtheimpactofactivitybehaviourontransportmodechoiceanduseincapetown