Theoretical substantiation of trip length distribution for home-based work trips in urban transit systems
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Theoretical substantiation of trip length distribution for home-based work trips in urban transit systems
Published Date
2018
Publisher
Journal of Transport and Land Use
Type
Article
Scholarly Text or Essay
Scholarly Text or Essay
Abstract
Modern approaches to the modeling of transport demand imply the use of calibration procedures during the origin-destination (O-D) matrix estimation or transit assignment. These procedures lead to misrepresenting generated and attracted trips or changing the trip length distribution (TLD). It means that the methods of transport planning can be improved by means of determination, validation and implementation of the TLD to calculate the O-D matrix. The analysis of research results in the field of mass transit reveals an explicit similarity between TLD in different cities and the gamma distribution. It points to general regularities in various systems of mass transit that lead to the similarity in TLD. The regularities are determined by studying the spatial distribution of mass transit stops, which are considered trip origins and destinations. The experimental research was conducted in 10 Ukrainian cities using probability theory methods.
Description
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
10.5198/jtlu.2018.916
Previously Published Citation
Suggested citation
Horbachov, Peter; Svichynskyi, Stanislav. (2018). Theoretical substantiation of trip length distribution for home-based work trips in urban transit systems. Retrieved from the University Digital Conservancy, 10.5198/jtlu.2018.916.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.