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ID 14315
本文ファイル
著者
Sugie, Yoriyasu
NDC
運輸・交通
抄録(英)
Very little work using repeated cross-sectional data has been undertaken in transport research. This is especiallytrue for travel data gathered at multiple points in time, especially data that is gathered every 5-10 years such asUrban Area Travel Survey Data and Road Traffic Census Data in Japan. Accordingly, travel demand modelingbased on these types of data is not yet fully developed. This paper deals with methods for developing models whichinclude time series factors for predicting travel demand using three time-points travel data gathered in Hiroshima.As a result, it was shown that model parameters based on cross-sectional data were not stable over time by usingCovariance Analysis or T-Statistic. The existence of first-order serial correlation in residuals was confirmed byusing Generalized Durbin-Watson Statistics, while unobserved heterogeneity was checked by using Breusch-PaganStatistics. Fixed-effects models using these two factors were developed and it was shown that their predicting accu-racy was improved in comparison to traditional cross-sectional models.
掲載誌名
国際協力研究誌
6巻
1号
開始ページ
159
終了ページ
175
出版年月日
2000-03
出版者
広島大学国際協力研究科
ISSN
1341-0903
NCID
SelfDOI
言語
英語
NII資源タイプ
紀要論文
広大資料タイプ
学内刊行物(紀要等)
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
publisher
部局名
国際協力研究科
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