A neural network based car ownership model

Z. (Zhongzhen) Yang, T. Feng

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

With the economic growth and the improvement of living standard, car ownership in China increases rapidly. It exerts enormous pressure on transportation services. It is necessary to forecast China car ownership for urban transport planning, transport infrastructure improvement and traffic management in terms of economic level, urban configuration, traffic situation and car-concerned policies. In this paper the main factors affecting car ownership are analyzed and a model to estimate car ownership in China city with the BP neural network technology is developed. The model can take the sudden effect of some external factors such as political and economic factors on car ownership into account.
Original languageEnglish
Title of host publicationApplications of Advanced Technologies in Transportation Engineering
EditorsKumares C. Sinha, T.F. Fwa, Ruey L. Cheu, Der-Horng Lee
PublisherAmerican Society of Civil Engineers (ASCE)
ISBN (Electronic)9780784407301
DOIs
Publication statusPublished - 2004
Event8th International Conference on Applications of Advanced Technologies in Transportation Engineering (AATTE 2004)

- Beijing, China
Duration: 26 May 200428 May 2004
Conference number: 8
https://ascelibrary.org/doi/book/10.1061/9780784407301

Conference

Conference8th International Conference on Applications of Advanced Technologies in Transportation Engineering (AATTE 2004)

Abbreviated titleAATTE 2004
CountryChina
CityBeijing
Period26/05/0428/05/04
Internet address

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    Yang, Z. Z., & Feng, T. (2004). A neural network based car ownership model. In K. C. Sinha, T. F. Fwa, R. L. Cheu, & D-H. Lee (Eds.), Applications of Advanced Technologies in Transportation Engineering American Society of Civil Engineers (ASCE). https://doi.org/10.1061/40730(144)117