JOURNAL ARTICLES

International Journals

1. Oyama, Y. (2024)
   Spatial city image and its formative factors: A street-based neighborhood cognition analysis.
   Cities 149: 104898 (Open access).
2. Oyama, Y. (2024)
   Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of visually perceived attributes.
   Transportation Research Part A: Policy and Practice 181: 103998 (Open access).
3. Oyama, Y., Fukuda, D., Imura N., Nishinari, K. (2024)
   Do people really want fast and precisely scheduled delivery? E-commerce customers’ valuations of home delivery timing.
   Journal of Retailing and Consumer Services 78: 103711 (Open access).
4. Parady, G., Oyama, Y., Chikaraishi, M. (2023)
   Text-aided Group Decision-making Process Observation Method (x-GDP): A novel methodology for observing the joint decision-making process of travel choices.
   Transportation (Open access).
5. Oyama, Y. (2023)
   Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach.
   Transportation Research Part C: Emerging Technologies 147: 104014 (Open access).
6. Parady, G., Suzuki, K., Oyama, Y., Chikaraishi, M. (2023)
   Activity detection with Google Maps Location History data: factors affecting joint activity detection probability and its potential application on real social networks.
   Travel Behaviour and Society 30: 344-357.
7. Oyama, Y., Hara, Y., Akamatsu, T. (2022)
   Markovian traffic equilibrium assignment based on network generalized extreme value model.
   Transportation Research Part B: Methodological 155: 135-159 (Open access).
8. Oyama, Y.,  Hato, E. (2019)
   Prism-based path set restriction for solving Markovian traffic assignment problem.
   Transportation Research Part B: Methodological 122: 528-546.
9. Oyama, Y.,  Hato, E. (2018)
   Link-based measurement model to estimate route choice parameters in urban pedestrian networks.
   Transportation Research Part C: Emerging Technologies 93: 62-78 (Open access).
10. Oyama, Y.,  Hato, E. (2017)
    A discounted recursive logit model for dynamic gridlock network analysis.
    Transportation Research Part C: Emerging Technologies 85: 509-527 (Open access).

Japanese Journals

11. Murakami, S.,Oyama, Y. (2022) Optimal location of pedestrian streets based on a multimodal equilibrium assignment model. Journal of the City Planning Institute of Japan 57(3): 622-629.
    
12. Matsumura, K., Oyama, Y. (2022) Efficiency analysis of a capacitated MaaS system focusing on different payment schemes. Journal of the City Planning Institute of Japan 57(3): 666-673.
    
13. Tojo, T., Oyama, Y. (2022) A deep learning model for building type estimation based on building names. Journal of the City Planning Institute of Japan 57(3): 1025-1032.
    
14. Ikegami, T., Oyama, Y. (2021) Proposal of an activity-based elderly mobility index focusing on public transportation convenience. Journal of the City Planning Institute of Japan 56(3): 563-570.
    
15. Oyama, Y.,  Hato, E. (2017) Structural estimation for route choice models considering link specificity of measurement error variance. Journal of Japan Society of Civil Engineers D3 (Infrastructure Planning and Management) 73(5): I_597-I_608.
    Best Papers Award
16. Oyama, Y.,  Hato, E. (2017) Pedestrian activity-based network design based on multi-objective programming. Journal of the City Planning Institute of Japan 52(3): 810-817.
17. Oyama, Y.,  Hato, E. (2017) Stochastic assignment in time-structured networks. Journal of Japan Society of Civil Engineers D3 (Infrastructure Planning and Management) 73(4): 186-200.
18. Oyama, Y.,  Hato, E. (2017) Route choice analysis in disaster network using generalized recursive logit model. JSTE Journal of Traffic Engineering 3(5): 1-10.
19. Oyama, Y.,  Hato, E. (2016) Pedestrian activity assignment problem with time-space constraint and path correlation. Journal of the City Planning Institute of Japan 51(3): 680-687. [Slides]
20. Oyama, Y., Fukuyama, S., Hato, E. (2014) A study on mechanism of short trip generations using discrete-continuous model based on activity-needs. Journal of the City Planning Institute of Japan 49(3): 375-380. [Slides]
    Best Papers Award
21. Oyama, Y.,  Hato, E. (2013) Move-stay choice model using voronoi-based overlay networks. Journal of the City Planning Institute of Japan 48(3): 1107-1112.
22. Oyama, Y.,  Hato, E. (2012) Route choice model based on continuity of streetscapes. Journal of the City Planning Institute of Japan 47(3): 643-648. [Slides]

PRE-PRINTS

1. Parady, G., Chikaraishi, M., Oyama, Y. (2023) A walker’s paradise ain’t a driver’s hell: Evaluating the causal effect of temporary road pedestrianization on traffic conditions of surrounding roads. Research Square.
2. Oyama, Y., Murakami, D., Krueger, R. (2023) A hierarchical Bayesian logit model for spatial multivariate choice data. SSRN.
3. Akamatsu, T. and Oyama, Y. (2023) A fluid-particle decomposition approach to matching market design for crowdsourced delivery systems. arXiv.
4. Oyama, Y., Murakami, S., Chikaraishi, M., Parady, G. (2023) Designing pedestrian zones within city center networks considering policy objective trade-offs. SSRN.
5. Akamatsu, T., Satsukawa, K., Oyama, Y. (2023) Global stability of day-to-day dynamics for scheduled-based Markovian transit assignment with boarding queues. arXiv.

INTERNATIONAL CONFERENCES (PEER-REVIEWED)

*: Presenter

1. Oyama, Y.*, Murakami, S., Chikaraishi, M., Parady, G. (accepted) Designing Pedestrian Zones within City Center Networks Considering Policy Objective Trade-offs. Transportation Research Board Annual Meeting 2024.
2. Parady, G.*, Chikaraishi, M., Oyama, Y. (accepted) A Walker’s Paradise ain’t a Driver’s Hell: Evaluating the Causal Effect of Temporary Road Pedestrianization on Traffic Conditions of Surrounding Roads. Transportation Research Board Annual Meeting 2024.
3. Okazaki, R.*, Oyama, Y., Imura, N., Nishinari, K. (2023) Day-to-day delivery demand management: Evaluation based on routing efficiency and customer satisfaction. The 11th symposium arranged by European Association for Research in Transportation (hEART), Zurich, Switzerland.
4. Parady, G., Oyama, Y.*, Chikaraishi, M. (2023) Text-aided Group Decision-making Process Observation Method (x-GDP): A novel methodology for observing the joint decision-making process of travel choices. The 11th symposium arranged by European Association for Research in Transportation (hEART), Zurich, Switzerland.
5. Fujiwara, K.*, Oyama, Y., Chikaraishi, M., Fujiwara, A. (2023) A pedestrian model capturing trade-offs between travel and place functions of urban street space: An illustrative numerical example. The 15th International Conference of the Eastern Asia Society for Transportation Studies (EASTS 2023), Shah Alam, Malaysia.
6. Okazaki, R.*, Oyama, Y., Imura, N., Nishinari, K. (2023) Evaluation of choice-based demand management strategies for day-to-day delivery planning. The 5th Bridging Transport Researchers (BTR5) conference, online.
7. Murakami, S.*, Oyama, Y. (2023) Multimodal network design for the optimal placement of pedestrian streets in an urban congested network. The 18th International Conference on Computational Urban Planning and Urban Management (CUPUM), Montreal, Canada.
8. Oyama, Y.* (2022) A prism-constrained recursive logit model to analyze positive utilities in pedestrian route choice behavior. The 16th International Conference on Travel Behaviour research (IATBR), Santiago, Chile.
9. Parady, G.*, Oyama, Y., Chikaraishi, M. (2022) Understanding the joint decision-making process of leisure destination choices: Exploring new methodologies. The 16th International Conference on Travel Behaviour research (IATBR), Santiago, Chile. [Slides]
10. Suzuki, K., Oyama, Y., Chikaraishi,M., Parady, G.* (2021) The effectiveness of using Google Maps Location History data to detect joint activities in social networks. The 3rd Bridging Transportation Researchers (BTR) Conference, Online. [Slides]
11. Oyama, Y.*, Scarinci, R., Bierlaire, M. (2018) Optimal capacity location problem of parking and accelerated moving walkways to design a car-free city center. The 7th symposium arranged by European Association for Research in Transportation (hEART), Athens, Greece.
12. Oyama, Y.*, Hato, E., Scarinci, R., Bierlaire, M. (2017)  Markov assignment for a pedestrian activity-based network design problem. The 6th symposium arranged by European Association for Research in Transportation (hEART), Haifa, Israel. [Slides]
13. Oyama, Y.*, Hato, E. (2016)  Pedestrian activity model based on implicit path enumeration. Proceedings of the 21st International Conference of Hong Kong for Transportation Studies (HKSTS), pp.331-338.
14. Oyama, Y.*, Hato, E. (2016)  A link-based map matching algorithm with structural estimation method. The 5th symposium arranged by European Association for Research in Transportation (hEART), Delft, Netherland.
15. Oyama, Y.*, Hato, E. (2016) Incorporating destination choices into microscopic land-use dynamics modeling using longitudinal data. The 9th Triennial Symposium on Transportation Analysis (TRISTAN), Oranjestad, Aruba.
16. Oyama, Y.*, Chikamatsu, K., Shoji, Y., Hato, E., Koga, M. (2016) Trajectory-oriented traffic management using sequential discount rate: a case study of the Great East Japan Earthquake. The 11th ITS European Congress (ERTICO), Glasgow, Scotland.
17. Oyama, Y.*, Hato, E. (2015)  Incorporating context-dependent energy into the pedestrian dynamic scheduling model with GPS data. The 14th International Conference on Travel Behaviour research (IATBR), Windsor, England. [Slides]
18. Kokubun, A.*, Hato, E., Oyama, Y. (2013)  Modeling Transformation in Neighborhood with Urban Redevelopment in Built-up Area of Tokyo Incorporating Effect of Interaction. Proceedings of International Conference on Computational Urban Planning and Urban Management (CUPUM), Utrecht, Netherland.
19. Oyama, Y.*, Hato, E. (2013) Mobility Design: Incorporating "Private" Public Space onto the Street for the City Conversion. Proceedings of 5th International Congress of International Association of Societies of Design Research (IASDR), pp.3235-3244.

BOOK CHAPTERS

1. Bierlaire, M., Scarinci, R., Nikolic, M., Oyama, Y., Molyneaux, N., Wang, Z. (2020) Methodologies for Understanding and Improving Pedestrian Mobility. In: Jensen, O. B., Lassen, C., Kaufmann, V., Freudendal-Pedersen, M., Lange, I. (Eds.) Handbook of Urban Mobilities: Chapter 10.

DOCTORAL THESIS