Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Jointly modelling individual’s daily activity-travel time use andmode share by a nested multivariate Tobit model system
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. (Transport Systems)ORCID iD: 0000-0001-6966-9077
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.ORCID iD: 0000-0001-7124-7164
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.ORCID iD: 0000-0001-5290-6101
2015 (English)In: Transportation Research Procedia: 21st International Symposium on Transportation and Traffic Theory, Elsevier, 2015, Vol. 9, 71-89 p.Conference paper, Published paper (Refereed)
Abstract [en]

Understanding mechanisms underlie the individual’s daily time allocations is very important to understand the variability ofindividual’s time-space constraints and to forecast his/her daily activity participation. At most of previous studies, activity timeallocation was viewed as allocating a continuous quantity (daily time budget) into multiple discrete alternatives (i.e. variousactivities and trips to engage with). However, few researches considered the influence of travel time that needs to be spent onreaching the activity location. Moreover, travel time itself is influenced by individuals’ mode choice. This can lead to an over- orunder-estimation of particular activity time location. In order to explicitly include the individual’s travel time and mode choiceconsiderations in activity time allocation modelling, in this study, a nested multivariate Tobit model is proposed. This proposedmodel can handle: 1. Corner solution problem (i.e. the present of substantial amount of zero observations); 2. Time allocationtrade-offs among different types of activities (which tends to be ignored in previous studies); 3. Travel is treated as a deriveddemand of activity participation (i.e. travel time and mode share are automatically censored, and are not estimated, ifcorresponding activity duration is censored). The model is applied on a combined dataset of Swedish national travel survey(NTS) and SMHI (Swedish Meteorological and Hydrological Institute) weather record. Individuals’ work and non-work activitydurations, travel time and mode shares are jointly modelled as dependent variables. The influences of time-locationcharacteristics, individual and household socio demographics and weather characteristics on each dependent variable areexamined. The estimation results show a strong work and non-work activity time trade-offs due to the individual’s time-spaceconstraints. Evidences on a potential positive utility of travel time added on non-work activity time allocation in the Swedish case,are also found. Meanwhile, the results also show a consistent mode choice preference for a given individual. The estimatednested multivariate Tobit model provides a superior prediction, in terms of the deviation of the predicted value against the actualvalue conditional on the correct prediction regarding censored and non-censored, compared to mutually independent Tobitmodels. However, the nested multivariate Tobit model does not necessarily have a better prediction for model componentsregarding non-work related activities.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 9, 71-89 p.
Keyword [en]
multiple discrete-continuous model, sample selection model, activity-travel time allocation
National Category
Transport Systems and Logistics
Research subject
Transport Science; Transport Science; Transport Science
Identifiers
URN: urn:nbn:se:kth:diva-187017DOI: 10.1016/j.trpro.2015.07.005Scopus ID: 2-s2.0-84959347867OAI: oai:DiVA.org:kth-187017DiVA: diva2:928547
Conference
21st International Symposium on Transportation and Traffic Theory,5 - 7 August, 2015, Kobe, Japan
Note

QC 20160517

Available from: 2016-05-16 Created: 2016-05-16 Last updated: 2016-12-05Bibliographically approved
In thesis
1. Understanding the Impacts of Weather and Climate Change on Travel Behaviour
Open this publication in new window or tab >>Understanding the Impacts of Weather and Climate Change on Travel Behaviour
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Human behaviour produces massive greenhouse gas emissions, which trigger climate change and more unpredictable weather conditions. The fluctuation of daily weather corresponds to variations of everyday travel behaviour. This influence, although is less noticeable, can have a strong impact on the transport system. Specifically, the climate in Sweden is becoming warmer in the recent 10 years. However, it is largely unknown to what extent the change of travel behaviour would respond to the changing weather. Understanding these issues would help analysts and policy makers incorporate local weather and climate within our policy design and infrastructure management.

The thesis contains eight papers exploring the weather and climate impacts on individual travel behaviour, each addressing a subset of this topic. Paper I explores the weather impact on individual’s mode choice decisions. In paper II and III, individual’s daily activity time, number of trips/trip chains, travel time and mode shares are jointly modelled. The results highlight the importance of modelling activity-travel variables for different trip purposes respectively. Paper IV develops a namely nested multivariate Tobit model to model activity time allocation trade-offs. In paper V, the roles of weather on trip chaining complexity is explored. A thermal index is introduced to better approximate the effects of the thermal environment. In paper VI, the role of subjective weather perception is investigated. Results confirm that individuals with different socio-demographics would have different subjective weather perception even given similar weather conditions. Paper VII derives the marginal effects of weather variables on transport CO2 emissions. The findings show more CO2 emissions due to the warmer climate in the future. Paper VIII summaries the existing findings in relations between weather variability and travel behaviour, and critically assesses the methodological issues in previous studies. 

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 217 p.
Series
TRITA-TSC-PHD, 16-005
Keyword
impacts of weather, climate change, travel survey, spatial heterogeneity, activity-travel pattern, weather perception, passenger transport CO2 emission
National Category
Transport Systems and Logistics
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-187019 (URN)978-91-87353-89-5 (ISBN)
Public defence
2016-06-10, L1, Drottning Kristinas väg 30, Lantmäteri, våningsplan 3, KTH Campus, Stockholm, 11:05 (English)
Opponent
Supervisors
Projects
Understanding the complexity of changes of travelers’ activity-travel choices and related transport CO2 emissions due to the variation of weather and climate in Sweden (Centre för Transport Studie, projekt kod: 446)Understanding the impacts of weather and climate change on travel behavior (Centre för Transport Studie, projekt kod: 291)
Note

QC 20160516

Available from: 2016-05-16 Created: 2016-05-16 Last updated: 2016-05-16Bibliographically approved

Open Access in DiVA

fulltext(349 kB)63 downloads
File information
File name FULLTEXT01.pdfFile size 349 kBChecksum SHA-512
d0445d9b6dad4c2975fa2f2f3727455b548396ae2ceff5f18ac0b5c03fc6b3016caf28fe46b8e639603aa62b5adef7f7e7a6e5231afc45bcc1a71a6114e0d924
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopusConference websiteSciencedirect

Authority records BETA

Chengxi, LiuSusilo, Yusak O.Karlström, Anders

Search in DiVA

By author/editor
Chengxi, LiuSusilo, Yusak O.Karlström, Anders
By organisation
Transport Planning, Economics and EngineeringSystem Analysis and Economics
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 63 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf