Faculty Profiles - YAMAMOTO Toshiyuki

Papers - YAMAMOTO Toshiyuki

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Preliminary analysis on how trip schedule and household attributes affect effectiveness of car-sharing systems Reviewed

Kiuchi, D., Yagi, M., Yamamoto, T. and Morikawa, T.

Proceedings of the 11th World Congress on Intelligent Transport Systems 2004

Railway station as shopping destination Reviewed

Li, C., Yamamoto,, T. and Morikawa, T.

Traffic and Transportation Studies: Proceedings of the Fourth International Conference on Traffic and Transportation Studies page： 715-725 2004

Comparative analysis of time-space prism vertices for out-of-home activity engagement on working and non-working days Reviewed

Yamamoto, T., Kitamura, R. and Pendyala, R.M.

Preprint CD-ROM of the 82nd Annual Meeting of the Transportation Research Board 2003

交差点迂回交通調査に基づくプローブデータの有用性の検討 Reviewed

北村清州，山本俊行，吉井稔雄，森川高行

第23回交通工学研究発表会論文集 page： 153-156 2003

プローブカーデータに基づく交通安全施策効果の検証 Reviewed

端地純平，山本俊行

第23回交通工学研究発表会論文報告集 page： 149-152 2003

プローブカーデータによる細街路通過交通の分析

北村清州，山本俊行，吉井稔雄，森川高行

土木学会年次学術講演会講演概要集第4部 Vol. 58 page： 429-430 2003

買い物・レジャー場所選択行動における選択肢集合に関する分析

季成，山本俊行，倉内慎也，森川高行

土木学会年次学術講演会講演概要集第4部 Vol. 58 page： 351-352 2003

新たな選択肢の選択肢集合への追加過程に関する研究

季成，山本俊行，倉内慎也，森川高行

日本行動計量学会第31回大会発表論文抄録集 page： 368-369 2003

生存時間モデルの推定精度に関する研究

中川展孝，山本俊行

日本行動計量学会第31回大会発表論文抄録集 page： 332-333 2003

生存時間モデルの推定精度に関する研究

中川展孝，山本俊行

土木計画学研究・講演集 Vol. 28 page： CD-ROM 2003

プローブカーデータに基づく高速走行抑止システムの効果の分析

端地純平・山本俊行

土木計画学研究・講演集 Vol. 28 page： CD-ROM 2003

交通シミュレーションに用いる車両移動モデルの構築に向けた細街路エリア内の車両挙動観測調査

北村清州，吉井稔雄，山本俊行，森川高行

土木計画学研究・講演集 Vol. 27 page： CD-ROM 2003

品目による相違と買い物場所選択肢集合に着目した買い物行動の分析

季成，山本俊行，倉内慎也，森川高行

土木計画学研究・講演集 Vol. 27 page： CD-ROM 2003

公共施設立地がアクセス交通に及ぼす影響の分析

山本俊行，小森陵補

土木計画学研究・講演集 Vol. 27 page： CD-ROM 2003

自動車通過交通が歩行者・自転車交通に及ぼす影響と自動車通過交通の観測法に関する分析

山本俊行，北村清州，吉井稔雄，北村隆一

土木計画学研究・講演集 Vol. 27 page： CD-ROM 2003

ITSを活用した自動車共同利用システムの利用行動の分析，土木計画学研究・講演集

山本俊行，山本直輝，森川高行，北村隆一

土木計画学研究・講演集 Vol. 27 page： CD-ROM 2003

カーナビゲーションシステムの経路推奨機能における経路選好の学習に関する分析

山本俊行，中山晶一朗，北村隆一

土木計画学研究・講演集 Vol. 27 page： CD-ROM 2003

Descriptive analysis of detouring traffic through neighborhood streets using probe car data

Seishu Kitamura, Toshiyuki Yamamoto, Toshio Yoshii and Tomio Miwa

Proceedings of the 10th World Congress on Intelligent Transport Systems, November 16-20, 2003, Madrid, Spain 2003

Language：English

The relationship between the travel speed at the main road and that detouring through neighborhood streets is examined by using the probe car information. The results suggest that the two travel speeds are positively correlated, implying that more drivers detour from the main road to the neighborhood street when the congestion at the former is severer. The results also show that the travel speed through the neighborhood streets has considerable variances regardless of the travel speed at the main road.

A methodology for weighting data from complex endogenous sampling Reviewed

Kitamura, R., Yamamoto, T. and Sakai, H.

Transportation Research Part B Vol. 37 ( 4 ) page： 387-401 2003

Language：English Publishing type：Research paper (scientific journal)

The methodology for weighting endogenous samples is extended in this study and applied to a multi-dimensional choice-based sample and an enriched sample. It is shown that a unified weight exists for a sample obtained from a complex endogenous sampling scheme. Problems with conventional weighting methods for samples from endogenous sampling, such as roadside surveys, are pointed out and an improved weighting scheme is proposed. Coefficient estimates of discrete choice models with and without weights are compared, and the importance of applying appropriate weights and a valid covariance estimator is pointed out.

The effectiveness of panels in detecting changes in discrete behavior Reviewed

Kitamura, R., Yamamoto, T. and Fujii, S.

Transportation Research Part B Vol. 37 ( 2 ) page： 191-206 2003

Language：English Publishing type：Research paper (scientific journal)

This study addresses the issue of how accurately parameters characterizing a stochastic, discrete behavioral process can be estimated using data from a discrete-time panel study. Specifically, the study examines the likelihood and magnitude of error in estimating the parameters characterizing the behavioral process based on observations of the process obtained at discrete time points. The results of the study offer strong indications that the likelihood and magnitude of error can be both very large. Furthermore, reducing the interval between survey waves improves estimation accuracy but only very slowly. The study results point to the need to obtain continuous data as accurately as possible from surveys made at discrete time points, using carefully designed and administered recall questions.

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