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Measuring the impacts of weather variability on home-based trip chaining behaviour: a focus on spatial heterogeneity
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.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, ISSN 0049-4488, E-ISSN 1572-9435Article in journal (Refereed) Published
Abstract [en]

Using the 2011 Swedish national travel survey data, this paper explores the influence of weather characteristics on individuals’ home-based trip chaining complexity. A series of panel mixed ordered Probit models are estimated to examine the influence of individual/household social demographics, land use characteristics, and weather characteristics on individuals’ home-based trip chaining complexity. A thermal index, the universal thermal climate index (UTCI), is used in this study instead of using directly measured weather variables in order to better approximate the effects of the thermal environment. The effects of UTCI are segmented into different seasons to account for the seasonal difference of UTCI effects. Moreover, a spatial expansion method is applied to allow the impacts of UTCI to vary across geographical locations, as individuals in different regions have different weather/climate adaptions. The effects of weather are examined in subsistence, routine, and discretionary trip chains. The results reveal that the ‘ground covered with snow’ condition is the most influential factor on the number of trips chained per trip chain among all other weather factors. The variation of UTCI significantly influences trip chaining complexity in autumn but not in spring and winter. The routine trip chains are found to be most elastic towards the variation of UTCI. The marginal effects of UTCI on the expected number of trips per routine trip chain have considerable spatial variations, while these spatial trends of UTCI effects are found to be not consistent over seasons.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2015.
Keyword [en]
Spatial heterogeneity, Thermal index, Trip chaining complexity, Weather impact, Geographical regions, Land use, Motor transportation, Geographical locations, National travel surveys, Ordered probit model, Seasonal differences, Chains
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-176241DOI: 10.1007/s11116-015-9623-0ISI: 000381265900006Scopus ID: 2-s2.0-84929439753OAI: oai:DiVA.org:kth-176241DiVA: diva2:871500
Note

QC 20151116

Available from: 2015-11-16 Created: 2015-11-02 Last updated: 2017-12-01Bibliographically 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

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