Verification of Bayesian Clustering in Travel Behaviour Research – First Step to Macroanalysis of Travel Behaviour
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F18%3A00327455" target="_blank" >RIV/68407700:21260/18:00327455 - isvavai.cz</a>
Result on the web
<a href="http://iopscience.iop.org/article/10.1088/1755-1315/140/1/012067/pdf" target="_blank" >http://iopscience.iop.org/article/10.1088/1755-1315/140/1/012067/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1755-1315/140/1/012067" target="_blank" >10.1088/1755-1315/140/1/012067</a>
Alternative languages
Result language
angličtina
Original language name
Verification of Bayesian Clustering in Travel Behaviour Research – First Step to Macroanalysis of Travel Behaviour
Original language description
Our research is looking at the travel behaviour from a macroscopic view, taking one municipality as a basic unit. The travel behaviour of one municipality as a whole is becoming one piece of a data in the research of travel behaviour of a larger area, perhaps a country. A data pre-processing is used to cluster the municipalities in groups, which show similarities in their travel behaviour. Such groups can be then researched for reasons of their prevailing pattern of travel behaviour without any distortion caused by municipalities with a different pattern. This paper deals with actual settings of the clustering process, which is based on Bayesian statistics, particularly the mixture model. An optimization of the settings parameters based on correlation of pointer model parameters and relative number of data in clusters is helpful, however not fully reliable method. Thus, method for graphic representation of clusters needs to be developed in order to check their quality. A training of the setting parameters in 2D has proven to be a beneficial method, because it allows visual control of the produced clusters. The clustering better be applied on separate groups of municipalities, where competition of only identical transport modes can be found.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IOP Conference Series: Earth and Environmental Science
ISBN
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ISSN
1755-1307
e-ISSN
1755-1315
Number of pages
9
Pages from-to
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Publisher name
IOP Publishing Ltd.
Place of publication
Bristol
Event location
Langkawi
Event date
Dec 4, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000454977100067