Time Series Comparison of Models of Auto and Motorcycle Ownership and Mode Choice in a Changing Transportation Environment: Jakarta, Indonesia
Abstract
Get full access to this article
View all access and purchase options for this article.
References
Cite article
Cite article
Cite article
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In

Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 83
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 9
- Realised pedestrian accessibility of an informal settlement in Jakarta...
- Research on the prediction of dangerous goods accidents during highway...
- Does Urban form Affect Motorcycle Use? Evidence from Yogyakarta, Indon...
- Impact of Built Environment on Mode Choice to Major Destinations in Dh...
- Modeling the Transport Mode Choice Behavior of Motorcyclists
- The Emergence of Mobility Inequality in Greater Jakarta, Indonesia: A ...
- Reverification of an Activity-Based Microsimulation of Travel Demand d...
- Joint Disaggregate Modeling of Car and Motorcycle Ownership...
- Time Series Comparison of Joint Mode and Destination Choice Models in ...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
