全篇 | |
表紙・目次 | |
第1章 はじめに | |
第2章 調査・データ分析 | |
2.1 移動空間計画の俯瞰 | |
2.1.1 移動の概念 | |
2.1.2 4段階推定法 | |
2.2 調査の設計 | |
2.2.1 調査設計の手法 | |
2.2.2 調査設計のフロー | |
2.3 データの正規化 | |
2.3.1 データ構成 | |
[参考資料] 第2章 調査・データ分析
2.2 調査の設計
- J.Gehl,LIFE BETWEEN BUILDINGS,1987(北原理雄訳,屋外空間の生活とデザイン,鹿島出版会,1990) [PDF]
- 岩倉由貴子: リハビリテーションのための空間に関する研究 -回復期リハビリテーション病院を対象として-, 東京大学大学院 建築学専攻 2006年度 修士論文梗概集, pp45-48.ほか[PDF]
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第3章 モデリングの基礎 | |
3.1 行動データマイニング | |
3.1.1 行動データの正規化 | |
3.1.2 行動データの分析 | |
[参考資料] 3.1 行動データマイニング
- パターン認識と機械学習勉強会まとめサイト [HP]
- Hong-Zhi Lina, Hing-Po Loa, Xiao-Jian Chen: Lifestyle classifications with and without activity-travel patterns, Transportation Research PartA, Vol. 43, No. 6, pp. 626-638, 2009. [PDF]
- 松尾豊,安田雪:SNSにおける関係形成原理-mixiのデータ分析- , 人工知能学会論文誌, 22巻5号G, pp. 531-541, 2007. [PDF]
- Bayesian approach to detect pedestrian destination-sequences from WiFi signatures, Danalet, A., Farooq, B., Bierlaire, M., Transportation Research Part C 44, pp. 146-170, 2014. [PDF]
- Careful Use of Machine Learning Methods is needed for Mobile Application: A case study on Transportation-mode Detection [PDF]
- Chang-Hyeon Joh, Theo Arentze,Frank Hofman, Harry Timmermans: Activity pattern similarity: a multidimensional sequence alignment method, Transportation Research Part B, Vol.36(5), pp.385-403, 2002.[PDF]
- A. Daly, M. Bierlaire: A general and operational representation of Generalised Extreme Value models, Transportation Research Part B, Vol.40(4), pp. 285-305, 2006. [PDF]
- Dong,X., Ben-Akiva,M., Bowman,J., Walker,J.: Moving from trip-based to activity-based measures of accessibility Transportation Research Part A, Vol.40(2), pp.163-180, 2006.[PDF]
- Giannella, C., Han, J., Pei, J., Yan, X., Yu, PS.: Mining Frequent Patterns in Data Streams at Multiple Time Granularities, 2002. [PDF]
- Wineman, J., Peponis, J., Dalton, RC.: Exploring, Engaging, Understanding in Museums, Space Syntax and Spatial Cognition, Proceedings of the 24th Workshop held in Bremen, pp. 33-51, 2006. [PDF]
- 小田切美和, 杉浦久子: 景観設計における心象風景に関する研究, 日本建築学会大会学術講演梗概集, 1998.9.[PDF]
- 古谷知之: ベイズ統計データ分析―R and WinBUGS (統計ライブラリー), 朝倉書店, 2008.[PDF]
- Julian Candia, Marta C. Gonzalez, Pu Wang, Timothy Schoenharl, Greg Madey, Albert-Laszlo Barabasi: Uncovering individual and collective human dynamics from mobile phone records, JOURNAL OF PHYSICS A, MATHEMATICAL AND THEORETICAL, Vol. 41(22), Article number 224015, 2008. [PDF]
- 小川勇之助, 後藤真二: 歩行及び走行における速度,心拍数と加速度計による運動強度の関係,
日本体力医学会, Vol.52, No.6, pp.762, 2003. ほか[PDF]
- 戸田浩之, 北川博之, 藤村考, 片岡良治: グラフ分析を利用した文書集合からの話題構造マイニング, 電子情報通信学会論文誌 D, Vol. J90-D, No.2, pp. 292-310, 2007.[PDF]
- 青島縮次郎, 川島俊美, 金井昌信, 杉木直: 地方都市における郊外居住化から見た自転車の利用促進に関する分析, 土木計画学研究講演集, No.23, pp631-634, 2000.[PDF]
- Yusak O. Susilo, Kitamura, R.: An Analysis of the Day-to-day Variability in the Indivisual’s Action Space: An Exploration of the Six-Week Mobidrive, Transportation Research Record, 1902, pp.124-133, 2005.ほか[PDF]
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3.2 行動モデル | |
3.2.1 離散選択モデル | |
3.2.2 離散・連続モデル | |
3.2.3 推定法 | |
3.2.4 関係性のモデル | |
[参考資料] 3.2 行動モデル
3.2.1 離散選択モデル
- Wei Zhu, Harry Timmermans: Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory, and conjunctive non-compensatory specifications,Journal of Retailing and Consumer Services 16, pp.227–231, 2009. [PDF]
- Joan L. Walker, Jieping Li: Latent lifestyle preferences and household location decisions, Journal of Geographical Systems Geographical Information, Analysis, Theory, and Decision, Vol.9, pp. 77-101, 2007. [PDF]
- E.Frejinger.M.Bierlaire,M.Ben-Akiva:Sampling of alternatives for route choice modeling,Transportation reserch partB, Vol.43, pp. 984-994, 2009. [PDF]
- Talluri, K., Ryzin, G.: Revenue Manegement Under a General Discrete Choice Model of Consumer Behavior,Management Science, Vol. 50, No. 1, pp. 15-33, 2004. [PDF]
- 時間制約下の遷移確率に着目した複数目的地選択肢集合の生成手法 [PDF]
- 山川佳洋: 選択肢の認知-学習過程を考慮した都市空間における経路選択機構の分析, 修士課程学位論文, 東京大学, 2009. [PDF]
- Mario Bravo, Luis Briceño, Roberto Cominetti, Cristián E. Cortés, Francisco Martínez: An integrated behavioral model of the land-use and transport systems with network congestion and location externalities, Transportation Research Part B, Vol.44, pp.584–596, 2010. [PDF]
- Fosgerau, M., Frejinger, E., Karlstrom, A.: A link based network route choice modelwith unrestricted choice set, Transportation Research Part B, Vol.56, pp.70-80, 2013.[PDF]
- Choudhury, C.F., Ben-Akiva, M., Abou-Zeid, M.: Dynamic latent plan model, Journal of Choice Modelling, 3, 50-70, 2010.[PDF]
- Hurtubia, R., Bierlaire, M., Martinez, F.: Dynamic microsimulation of location choices with a quasi-equilibrium auction approach, Proceed-ngs of the 12th Swiss Transport, 2011.[PDF]
- Ciari, Francesco, Dobler, Christoph, Axhausen, Kay W.: Modeling one-way shared vehicle systems: an agent-based approach, 13th International Conference on Travel Behaviour Research
Toronto, 2012.[PDF]
- Gilboa, I., D. Schmeidler, D.: Case-Based Decision Theory, The Quarterly Jounal of Economics, Vol.110(3), pp.605-639, 1995.[PDF]
- Fosgerau, M., Bierlaire, M.: Discrete choice models with multiplicative error terms, Transportation Research Part B, Vol.43(5), pp.494-505, 2009.[PDF]
- J. Swait, Choice model based on mixed discrete/continuous PDFs, Transportation Research Part B, Vol. 43(7), pp.766-783, 2009.[PDF]
- Jeffrey A. Dubin and Daniel L. McFadden: An Econometric Analysis of Residential Electric Appliance Holdings and Consumption, Econometrica, Vol. 52, No. 2, pp. 345-362, Mar., 1984.[PDF]
3.2.2 推定法
- Su, C.J., and Judd, K.L.: Constrained optimization approaches to estimation of structural models, Econometrica, Vol. 80, pp. 2213-2230, 2012. [PDF]
- Bhat, C.R., Sidharthan, R.: A simulation evaluation of the maximum approximate composite marginal likelihood (MACML) estimator for mixed multinomial probit models, Transportation Research Part B: Methodological, Vol.45, No.7, pp.940-953, 2011.[PDF]
- 古谷知之: ベイズ統計データ分析―R and WinBUGS (統計ライブラリー), 朝倉書店, 2008.[PDF]
3.2.4 関係性のモデル
- ゲーム理論勉強会まとめサイト2008[HP]
- ゲーム理論勉強会まとめサイト2012(応用編)[HP]
- 社会ネットワーク分析勉強会まとめサイト [HP]
- 松尾豊,安田雪:SNSにおける関係形成原理-mixiのデータ分析- , 人工知能学会論文誌, 22巻5号G, pp. 531-541, 2007. [PDF]
- Melo, E.:Congestion Pricing and Learning in Traffic Network Games, Journal of Public Economic Theory, Vol. 13(3), pp. 351-367, 2011. [PDF]
- 柴田孝: 漁業資源利用に関する多国間交渉問題―交渉ゲームによる分析, 日本国際経済学会全国大会報告論文, 2005.[PDF]
- 川越敏司: 「実験経済学」第4章行動ゲーム理論, 東京大学出版会, pp.127-197, 2007.[PDF]
- Matthew O.Jackson:Social And Economic Networks,PRINCETON UNIVERSITY PRESS, 2008.[PDF]
- Jofre-Bonet. M., Pesendorfer. M.: Bidding behavior in a repeated procurement auction: A summary, European Economic Review, Vol.44, pp.1006-1020, 2000.[PDF]
- ケン・スティグリッツ:オークションの人間行動学, 日経BP社, 2008.(川越敏司・小川一仁・佐々木俊一郎=訳)[PDF]
- G. Bianconi, A. –L. Barabasi: Competition and multiscaling in evolving networks,
Europhysics Letters, Vol.54, No. 4, pp. 436-442, 2001. [PDF]
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3.3 ネットワークモデル | |
3.3.1 利用者均衡配分 | |
3.3.2 システム最適化配分 | |
3.3.3 確率的利用者均衡配分 | |
3.3.4 利用者均衡配分解法アルゴリズム | |
3.3.5 確率的利用者均衡配分解法アルゴリズム | |
[参考資料] 3.3 ネットワークモデル
均衡配分
- Melo, E.:Congestion Pricing and Learning in Traffic Network Games, Journal of Public Economic Theory, Vol. 13(3), pp. 351-367, 2011. [PDF]
- Friesz, T.L., Luque, J., Tobin, R.L., Wie, B-W.: Dynamic network traffic assignment considered as a continuous time optimal control problem,Operations Research, Vol. 37(6), pp. 893-901, 1989. [PDF]
- 佐佐木綱:トリップのOD分布を求める確率論的方法,交通工学,Vol.2,No.6, pp.12-21, 1967.[PDF]
- 佐佐木綱,松井寛:連続吸収マルコフ仮定を用いた交通量分析,第8回日本道路会議論文集,343号,pp.1086-1089, 1966. [PDF]
ネットワークデザイン
- Adler,N., Smilowitz,K.: Hub-and-spoke network alliance and mergers:Price-location competition in the airline industry, Transportation Research Part B, Vol.41, pp. 394-409, 2007. [PDF]
- Paramet Luathep, Agachai Sumalee, William H. K. Lam, Zhi-Chu Li, Hong K. Lo: Global optimization method for mixed transportation network design problem: A mixed-integer linear programming approach, transportation research part B, pp. 808-827, 2011. [PDF]
- Michael G. H. Bell, Chris Cassir: Risk-averse user equilibrium traffic assignment:an application of game theory, Transportation Research Part B, Vol. 36, pp.671-681, 2002 [PDF]
- M.Mesbah,M.Sarvi,I.Ouveysi,G.Currie: Optimization of transit priority in the transportation network using a decomposition methodology, Transportation Research Part C,Vol.19(2),pp.363-373, 2011. [PDF]
- Toledo, T., Koutsopoulous, H.N., Ben-Akiva, M.: Integrated driving behavior model, Transportation Research Part C, vol.15,(4), pp.96-112, 2007.[PDF]
- Porta Sergio, Paolo Crucitti, and Vito Latora., The network analysis of urban streets: A dual approach, Physica A: Statistical Mechanics and its Applications 369.2, pp.853-866, 2006.[PDF]
- Ceder, A., Butcher, M. and Wang, L., Optimization of bus stop placement for routes on uneven topology, Transportation Research Part B, Vol.74, pp.40-61, 2015. [PDF]
- Susana Freiria, Bernardete Ribeiro, Alexandre O. Tavares.: Understanding road network dynamics: Link-based topological patterns, Journal of Transport Geography, Volume 46, June 2015, Pages 55-66[PDF]
- Lindbeck, A., Weibull, JW.: Altruism and Time Consistency: The Economics of Fait Accompli, Journal of Political Economy, Vol. 96(6), pp.1165-1182, 1988.[PDF]
- Leider, S., Mobius, MM., Rosenblat, T., Do, QA.: Directed altruism and enforced reciprocity in social networks, The Quarterly Journal of Economics, Vol.124(4), pp.1815-1851, 2009.[PDF]
- Brock, WA., Durlauf, SN.: Interactions-based models, National Bureau of Economic Research, Technical working paper No. 258, 2000.[PDF]
- Blume, L., Durlauf, S.: Equilibrium Concepts for Social Interaction Models, mimeo, Cornell University.[PDF]
- Zhang, Fangni, Hai Yang, and Wei Liu. The Downs–Thomson Paradox with responsive transit service, Transportation Research Part A: Policy and Practice 70 (2014): 244-263.[PDF]
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第4章 移動空間分析 | |
4.1 シミュレーションモデルの構成 | |
4.1.1 四段階推定法とアクティビティベース手法 | |
4.1.2 全体の構成 | |
4.1.3 各レベルにおけるモデルの概説 | |
4.1.4 シミュレーションモデル構成例 | |
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4.2 活動選択のモデリング | |
4.2.1 アクティビティモデルの発展経緯 | |
4.2.2 離散選択型モデル | |
4.2.3 ルールベースドモデル | |
4.2.4 ネットワーク探索型モデル | |
4.2.5 選択肢集合限定のモデリング | |
[参考資料] 4.2 活動選択のモデリング
- Soriguera, f., Rosas, and D., Robuste, F.: Travel time measurement in closed toll highways, Transportation Research Part B, vol. 44(10), pp. 1242-1267, 2010. [PDF]
- Chipman,H : Bayesian flexible modeling of trip durations, Transportation Research Part B, Vol.44, No.5, p686-698, 2010. [PDF]
- Liao, F., Arentze, T., Timmermans, H.: Incorporating space-time constraints and activity-travel time profiles in a multi-state supernetwork approach to individual activity-travel scheduling, Transportation Research Part B, Vol.55, pp.41-58, 2013. [PDF]
- Recker, W.W., McNally, M.G., Root, G.S., A model of complex travel behavior Part 1: theoretical development, Transportation Research Part A, Vol.20(4), pp.307-318,1986.[PDF]
- Roorda, M.J., Miller, E.J., Habib, M.N.K.: Validation of TASHA: A 24-h activity scheduling microsimulation model, Transportation Research Part A, Vol.42, pp.360 -375, 2008.[PDF]
- 既往研究の整理(アクティビティモデルによる共同利用自転車の導入評価)*藤井敬士2009[PDF]
- Khandker M. Nurul Habib, A random utility maximization (RUM) based dynamic activity scheduling model: Application in weekend activity scheduling, Transportation, Vol.38, pp.123-151, 2011.[PDF]
- 時間制約下の遷移確率に着目した複数目的地選択肢集合の生成手法 [PDF]
- Wei Zhu, Harry Timmermans: Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory, and conjunctive non-compensatory specifications,Journal of Retailing and Consumer Services 16, pp.227–231, 2009. [PDF]
- Joan L. Walker, Jieping Li: Latent lifestyle preferences and household location decisions, Journal of Geographical Systems Geographical Information, Analysis, Theory, and Decision, Vol.9, pp. 77-101, 2007. [PDF]
- Mario Bravo, Luis Briceño, Roberto Cominetti, Cristián E. Cortés, Francisco Martínez: An integrated behavioral model of the land-use and transport systems with network congestion and location externalities, Transportation Research Part B, Vol.44, pp.584–596, 2010. [PDF]
- Swait, J., Ben-Akiva, M.: Empirical test of a constrained choice discrete model: Mode choice in Sao Paulo, Brazil. Transportation Research Part B, Vol. 21(2),pp. 103-115, 1987.[PDF]
- Gan, L. P., Recker, W.: Stochastic Preplanned Household Activity Pattern Problem with Uncertain Activity Participation (SHAPP), Transport Science, Vol.47(3), pp.439-454, 2013.[PDF]
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4.3 経路選択モデル | |
4.3.1 確定的に経路選択肢を列挙する方法 | |
4.3.2 確率的に経路選択肢を列挙する方法 | |
4.3.3 経路を明示しない方法 | |
4.3.4 歩行者の経路探索モデル | |
[参考資料] 4.3 経路選択モデル
ネットワーク上の経路選択モデル
- E.Frejinger.M.Bierlaire,M.Ben-Akiva:Sampling of alternatives for route choice modeling,Transportation reserch partB, Vol.43, pp. 984-994, 2009. [PDF]
- 山川佳洋: 選択肢の認知-学習過程を考慮した都市空間における経路選択機構の分析, 修士課程学位論文, 東京大学, 2009. [PDF]
- Mario Bravo, Luis Briceño, Roberto Cominetti, Cristián E. Cortés, Francisco Martínez: An integrated behavioral model of the land-use and transport systems with network congestion and location externalities, Transportation Research Part B, Vol.44, pp.584–596, 2010. [PDF]
- Fosgerau, M., Frejinger, E., Karlstrom, A.: A link based network route choice modelwith unrestricted choice set, Transportation Research Part B, Vol.56, pp.70-80, 2013.[PDF]
- Paz, A., Peeta, S.: Behavior-consistent real-time traffic routing under information provision, Transportation Research Part C, Vol. 17, pp. 642-661, 2009.[PDF]
- Bierlaire, M., Frejinger, E.: Route choice modeling with network-free data, Transporation Research Part C, Vol. 16, pp. 187-198, 2008. [PDF]
- 既往研究の整理(観測データ特性を考慮した経路選択モデル)*山川佳洋2009[PDF]
- Tien Mai, Mogens Fosgerau, Emma Frejinger: A nested recursive logit model for route choice analysis, Transportation Research Part B, Vol.75, pp.100-112, 2015.[PDF]
2次元平面上の経路選択モデル
- Hoogendoorn, S.P., Bovy, P.H.L.: Pedestrian route-choice and activity scheduling theory and models, Transportation research Part B, Vol. 38, No. 2, pp. 169–190, 2004. [PDF]
- Robin, Th., Bierlaire, M., Antonini, G., Cruz, J. : Specification, estimation and validation of a pedestrian walking behavior model, EPFL Technical report, 2007. [PDF]
- Camerer, C., Ho, TH: EXPERIENCE-WEIGHTED ATTRACTION LEARNING IN NORMAL FORM GAMES, Econometrica, Vol. 67(4), 827-874, 1999.[PDF]
- Kholshevnikov, V.V., Shields, T.J., Boyce, K.E., Samoshin, D.A.: Recent developments in pedestrian flow theory and research in Russia, FIRE SAFETY JOURNAL, Vol. 43, pp. 108-118, 2008.[PDF]
- Gianluca Antonini, Michal Birelaire, Mats Weber, Discrete choice models of pedestrian walking behavior, Transportation Research Part B, Vol.40, pp.667-687, 2006.[PDF]
- 浅野美帆, 桑原雅夫, 田中伸治 : “混雑時におけるミクロ歩行者流動モデルの構築”, 第5回ITSシンポジウム, 2006.ほか[PDF]
- 既往研究の整理(他者を考慮した歩行者経路選択モデルとパラメータ推定方法)*北川直樹2009[PDF]
- A. Kneidl, D.Hartmann, A.Borrmann: A hybrid multi-scale approach for simulation of pedestrian dynamics, Transportation Research Part C, Vol.37, pp. 223-237, 2013. [PDF]
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4.4 サンプリング理論/融合推定法 | |
4.4.1 系統的バイアスを補正する推定量 | |
4.4.2 複数データの融合推定法 | |
4.4.3 Mixed Logitモデル | |
4.4.4 潜在クラスモデル | |
[参考資料] 4.4 サンプリング理論/融合推定法
- Meurs, H.: Trip generation models with permanent unobserved effects, Transportation Research Part B, Vol.24(2), pp.145-158, 1990. [PDF]
- Patricia L. Mokhtarian, Xinyu Cao: Examining the impacts of residential self-selection on travel behavior: A focus on methodologies, Transportation Research Part B, Vol.42, pp.204-228, 2008. [PDF]
- Chandra R. Bhat, Marisol Castro, Mubassira Khan: A new estimation approach for the multiple discrete-continuous probit (MDCP) choice model, Transportation Research Part B, Vol.55, pp.1-22, 2013.
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第5章 おわりに | |