研究者詳細 - 山本　俊行

論文 - 山本　俊行

分割表示 492 件中 361 - 380 件目／全件表示 >>

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

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

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

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査読有り

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頁： 153-156 2003年

プローブカーデータに基づく交通安全施策効果の検証査読有り

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頁： 149-152 2003年

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 58 巻頁： 429-430 2003年

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 58 巻頁： 351-352 2003年

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頁： 368-369 2003年

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頁： 332-333 2003年

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 28 巻頁： CD-ROM 2003年

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 28 巻頁： CD-ROM 2003年

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 27 巻頁： CD-ROM 2003年

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 27 巻頁： CD-ROM 2003年

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 27 巻頁： CD-ROM 2003年

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 27 巻頁： CD-ROM 2003年

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 27 巻頁： CD-ROM 2003年

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 27 巻頁： CD-ROM 2003年

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年

記述言語：英語

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 査読有り

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

Transportation Research Part B 37 巻 ( 4 ) 頁： 387-401 2003年

記述言語：英語掲載種別：研究論文（学術雑誌）

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 査読有り

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

Transportation Research Part B 37 巻 ( 2 ) 頁： 191-206 2003年

記述言語：英語掲載種別：研究論文（学術雑誌）

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.

On the Formulation of Time-Space Prisms to Model Constraints on Personal Activity-Travel Engagement 査読有り

Ram M. Pendyala, Toshiyuki Yamamoto and Ryuichi Kitamura

Transportation 29 巻 ( 1 ) 頁： 73-94 2002年

記述言語：英語掲載種別：研究論文（学術雑誌）

The notion of time-space prisms has often been used in the context of describing activity-travel patterns of individuals. This paper presents a methodology for estimating the temporal vertices of time-space prisms using the stochastic frontier modeling technique. Observed trip starting and ending times are used as dependent variables and socio-economic characteristics and commute characteristics serve as independent variables. The models are found to offer plausible results indicating that temporal vertices of time-space prisms, though unobservable, can be estimated based on temporal characteristics of observed activity-travel patterns. Comparisons of stochastic frontier models of prism vertices and the distribution of prism vertices are presented using two activity data sets collected in the United States – San Francisco and Miami. Differences and similarities in temporal vertex locations are highlighted in the paper.

Comparison of non-compensatory models of driver's choice on dynamic park and ride 査読有り

Toshiyuki Yamamoto, Shinya Kurauchi and Takayuki Morikawa

Proceedings of the 9th World Congress on Intelligent Transport Systems (CD-ROM) 2002年

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（学術雑誌）

Non-compensatory models of driver's choice on dynamic park and ride are developed and examined on the predictability in this study. One of the data mining tools, C4.5, is used to develop decision tree and production rules of driver's choice. The generated decision tree and production rules are compared with the semi-ordered lexicographic model developed in the preceding study. Compared are the similarity of the estimated decision making structures and the distribution of the segments not correctly represented by the models as well as goodness-of-fit and hit ratio. The comparison shows that the semi-ordered lexicographic model has a higher goodness-of-fit and hit ratio than models with data mining tools. The results also suggest that the models developed in this study represent different decision rules from, but have similar distributions of the segments not represented by the models with the semi-ordered lexicographic model. Empirically, the consistent results by models with data mining tools and the semi-ordered lexicographic model suggest that the parking congestion level in CBD has a significant effect on the choice behavior.

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