2019.4.4
春休み最終日
理論談話会の論文リストが整う．
> 行動モデル系（9本）
1. GEV関数
‘Modeling the choice of residential location’, in A. Karlqvist, L. Lundqvist,
F. Snickars, and J. Weibull, eds., Spatial Interaction Theory and Planning
Models, North-Holland, Amsterdam, pp. 75-96.
https://pdfs.semanticscholar.org/55a6/3c2a72325a86de9a17814fb6243c132ac19a.pdf
参照 4-6
https://eml.berkeley.edu/books/choice2nd/Ch04_p76-96.pdf
2. EM algorithm (Latent class model)
Bhat, C. R. (1997). An endogenous segmentation mode choice model with an
application to intercity travel. Transportation science, 31(1), 34-48.
http://www.caee.utexas.edu/prof/Bhat/ABSTRACTS/Endogenous_Segment.pdf
3. network-GEV
Daly, A., & Bierlaire, M. (2006). A general and operational
representation of generalised extreme value models. Transportation
Research Part B: Methodological, 40(4), 285-305.
https://www.sciencedirect.com/science/article/pii/S0191261505000548
4. MDCEV
Bhat, C. R. (2005). A multiple discrete?continuous extreme value model:
formulation and application to discretionary time-use decisions.
Transportation Research Part B: Methodological, 39(8), 679-707.
https://www.sciencedirect.com/science/article/pii/S0191261504001274
5. Social Interaction
Brock, W. A., & Durlauf, S. N. (2001). Discrete choice with social
interactions. The Review of Economic Studies, 68(2), 235-260.
https://academic.oup.com/restud/article/68/2/235/1523094
6. Dynamic discrete choice
Rust J. (2008) Dynamic Programming. In: Palgrave Macmillan (eds) The New
Palgrave Dictionary of Economics. Palgrave Macmillan, London
https://www.researchgate.net/publication/277289471_Dynamic_Programming_entry_for_consideration_by_the_New_Palgrave_Dictionary_of_Economics
7. Recursive logit
Fosgerau, M., Frejinger, E., & Karlstrom, A. (2013). A link based
network route choice model with unrestricted choice set. Transportation
Research Part B: Methodological, 56, 70-80.
https://www.sciencedirect.com/science/article/pii/S0191261513001276
8. RL-based activity model
Zimmermann, M., Vastberg, O. B., Frejinger, E., & Karlstrom, A. (2018).
Capturing correlation with a mixed recursive logit model for
activity-travel scheduling. Transportation Research Part C: Emerging
Technologies, 93, 273-291.
https://www.sciencedirect.com/science/article/pii/S0968090X18304972
9. Activity model
W.W. Recker, M.G. McNally, G.S. Root, A model of complex travel
behavior: Part I?Theoretical development, Transportation Research Part A: General,
Volume 20, Issue 4, 1986, Pages 307-318,
https://www.sciencedirect.com/science/article/pii/0191260786900890
Recker, W. W., McNally, M. G., & Root, G. S. (1986). A model of complex
travel behavior: Part II: An operational model. Transportation Research
Part A: General, 20(4), 319-330.
https://www.sciencedirect.com/science/article/pii/0191260786900907
> 交通量配分・最適化アルゴリズム系（11本）
0. マルコフ配分
佐佐木綱：吸収マルコフ過程による交通量配分理論, 土木学会論文集, No. 121, pp. 28-32, 1965.
https://www.jstage.jst.go.jp/article/jscej1949/1965/121/1965_121_28/_article/-char/ja/
1. Simplitial decomposition
Lawphongpanich, S., & Hearn, D. W. (1984). Simplical decomposition of
the asymmetric traffic assignment problem. Transportation Research Part
B: Methodological, 18(2), 123-133.
https://www.sciencedirect.com/science/article/pii/0191261584900262
2. TAPAS algorithm
Bar-Gera, H. (2010). Traffic assignment by paired alternative segments.
Transportation Research Part B: Methodological, 44(8-9), 1022-1046.
https://www.sciencedirect.com/science/article/pii/S0191261509001350
3. OD推定
Cascetta, E. (1984). Estimation of trip matrices from traffic counts and
survey data: a generalized least squares estimator. Transportation
Research Part B: Methodological, 18(4-5), 289-299.
https://www.sciencedirect.com/science/article/pii/0191261584900122
4. Pricing (Maruyama)
Maruyama, T., & Sumalee, A. (2007). Efficiency and equity comparison of
cordon-and area-based road pricing schemes using a trip-chain
equilibrium model. Transportation Research Part A: Policy and Practice,
41(7), 655-671.
https://www.sciencedirect.com/science/article/pii/S0965856406001285
5. DUO
Lam, W. H., & Huang, H. J. (1995). Dynamic user optimal traffic
assignment model for many to one travel demand. Transportation Research
Part B: Methodological, 29(4), 243-259.
https://www.sciencedirect.com/science/article/pii/019126159500001T
6. Route choice with observation (DDR)
Bierlaire, M., & Frejinger, E. (2008). Route choice modeling with
network-free data. Transportation Research Part C: Emerging Technologies,
16(2), 187-198.
https://www.sciencedirect.com/science/article/pii/S0968090X07000551
7. ZDD
湊真一編: 超高速グラフ列挙アルゴリズム, 森北出版, 2015. (1-4章，7章)
https://www.morikita.co.jp/books/book/2838
8. Monte Carlo Tree & Bandit
松原仁，美添一樹, 山下宏: コンピュータ囲碁 モンテカルロ法の理論と実践,
共立出版, 2012. (4,5章中心)
9. DARP (Branch-and-Cut)
Liu, M., Luo, Z., & Lim, A. (2015). A branch-and-cut algorithm for a
realistic dial-a-ride problem. Transportation Research Part B:
Methodological, 81, 267-288.
https://www.sciencedirect.com/science/article/pii/S0191261515001113
10. Daganzo dial-a-bus
Daganzo, C. F. (1978). An approximate analytic model of many-to-many
demand responsive transportation systems. Transportation Research, 12(5),
325-333.
https://www.sciencedirect.com/science/article/pii/0041164778900072
> 都市計画・土地利用・経済系（7本）
1. VCG mechanism
Groves, T. (1973). Incentives in teams. Econometrica, 41(4), 617-631.
http://www.eecs.harvard.edu/cs286r/courses/spring02/papers/groves73.pdf
2. Vickery 出発時刻選択
Vickrey, W. S. (1969). Congestion theory and transport investment. The
American Economic Review, 59(2), 251-260.
https://www.jstor.org/stable/1823678?seq=1#metadata_info_tab_contents
3. 都市モデル(Fujita)
Fujita, M., & Ogawa, H. (1982). Multiple equilibria and structural
transition of non-monocentric urban configurations. Regional science and
urban economics, 12(2), 161-196.
https://www.sciencedirect.com/science/article/pii/016604628290031X
4. 住居選択
Henderson, J. V., & Ioannides, Y. M. (1983). A model of housing tenure
choice. The American Economic Review, 73(1), 98-113.
https://www.jstor.org/stable/1803929?seq=1#metadata_info_tab_contents
5. 住居選択(ゲーム)
Hilber, C. A., & Robert-Nicoud, F. (2013). On the origins of land use
regulations: Theory and evidence from US metro areas. Journal of Urban
Economics, 75, 29-43.
https://www.sciencedirect.com/science/article/pii/S0094119012000666
6. 協力ゲーム
鈴木光男, 新ゲーム理論, 1994, 勁草書房．(8-11章を中心に)
http://www.keisoshobo.co.jp/book/b25706.html
7. 確率フロンティア分析（空間相関有）
Fusco, E., & Vidoli, F. (2013). Spatial stochastic frontier models:
controlling spatial global and local heterogeneity. International Review
of Applied Economics, 27(5), 679-694.
https://www.tandfonline.com/doi/abs/10.1080/02692171.2013.804493
8. Logisticの基礎モデル
Burns, L. D., Hall, R. W., Blumenfeld, D. E., & Daganzo, C. F. (1985).
Distribution strategies that minimize transportation and inventory costs.
Operations research, 33(3), 469-490.
https://s3.amazonaws.com/academia.edu.documents/25744508/min_trans_inv_costs_-_hall_daganzo_-_or.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1554282098&Signature=ezrcSanIAXn8ybtkImFZqwI%2FQq0%3D&response-content-disposition=inline%3B%20filename%3DDistribution_strategies_that_minimize_tr.pdf
> 機械学習・深層学習系 9本
1. 決定理論・情報理論の基礎
PRML 第1章(1.5, 1.6)
2. カーネル法，SVM
PRML 第6章，第7章
3. グラフィカルモデル
PRML 第8章
4. 線形回帰モデル
PRML 第3章
5. 線形識別モデル
PRML 第4章
6. 多層パーセプトロン(深層順伝播ネットワーク)
深層学習 第6章
7. CNN, RNN
深層学習 第7章
8. 密度比推定
異常検知と変化検知(p.145-168)
9. 転移学習
Daumé III, Hal. "Frustratingly easy domain adaptation." arXiv preprint arXiv:0907.1815 (2009).
