| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
|
|
タイトル |
Exploring Variation Properties of Time Use Behavior on the Basis of, a Multilevel Multiple Discrete-Continuous Extreme Value Model |
|
言語 |
en |
| 作成者 |
Chikaraishi, Makoto
Zhang, Junyi
Fujiwara, Akimasa
Axhausen, Kay W
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
|
|
権利情報 |
Copyright (c) 2010 National Academy of Sciences |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Behavioral variations |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Time use behavior |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Multilevel MDCEV model |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Mobidrive data |
| 主題 |
|
|
主題Scheme |
NDC |
|
主題 |
680 |
| 内容記述 |
|
|
内容記述 |
This study attempts to examine the variation properties of time use behavior on the basis of a multilevel multiple discrete continuous extreme value model, which describes both activity participation and time allocation behavior by incorporating various variance components Five major variation components are dealt with, including interindividual, interhouse hold, temporal, spatial, and intraindividual variations The MobiDrive data, continuous 6 week daily travel data, allow identification of these variations simultaneously Two types of models are empirically examined the model without consideration of the influence of explanatory variables (null model) and the model that introduces explanatory variables (full model) Estimation results of the null-Model confirm that intraindividual variation still accounts for more than 50% of the total variation (except for mandatory activities) even after incorporation of the afore mentioned four other types of variations jointly In contrast, the results from the full model reveal that most types of unobserved variations (especially the intraindividual variation) still dominate in the total variation even after the relevant observed information is introduced These findings provide useful insights into both model development and data collection methods as well as to the understanding of the mechanisms of time use decisions, |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
National Academy of Sciences |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
AO |
|
出版タイプResource |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
| 関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.3141/2156-12 |
| 関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
http://dx.doi.org/10.3141/2156-12 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0361-1981 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA00457420 |
| 開始ページ |
|
|
開始ページ |
101 |
| 書誌情報 |
Transportation Research Record
Transportation Research Record
巻 2156,
p. 101-110,
発行日 2010
|
| 旧ID |
30886 |
TransportResRec_2156_101.pdf (265.2 KB)
