JOURNAL ARTICLES

International Journals

1. Okazaki, R., Oyama, Y., Imura, N., Nishinari, K. (2025)
   Evaluating choice-based demand management strategies for day-to-day home delivery planning.
   Research in Transportation Economics 113: 101615 (Open access).
2. Parady, G., Chikaraishi, M., Oyama, Y. (2025)
   A walker’s paradise ain’t a driver’s hell: Evaluating the causal effect of temporary road pedestrianization on traffic conditions of surrounding roads.
   Journal of Transport Geography 127: 104269 (Open access).
3. Oyama, Y., Akamatsu, T. (2025)
   A market-based efficient matching mechanism for crowdsourced delivery systems with demand/supply elasticities.
   Transportation Research Part C: Emerging Technologies 174: 105110 (Open access).
4. Parady, G., Oyama, Y., Chikaraishi, M. (2025)
   Text-aided Group Decision-making Process Observation Method (x-GDP): A novel methodology for observing the joint decision-making process of travel choices.
   Transportation 52: 413–437 (Open access).
5. Akamatsu, T., Oyama, Y. (2024)
   A fluid-particle decomposition approach to matching market design for crowdsourced delivery systems.
   Transportation Research Part C: Emerging Technologies 166: 104738 (Open access).
6. Oyama, Y., Murakami, D., Krueger, R. (2024)
   A hierarchical Bayesian logit model for spatial multivariate choice data.
   Journal of Choice Modelling 52: 100503 (Open access).
7. Oyama, Y., Murakami, S., Chikaraishi, M., Parady, G. (2024)
   Designing pedestrian zones within city center networks considering policy objective trade-offs.
   Transportation Research Part A: Policy and Practice 185: 104119 (Open access).
8. Oyama, Y. (2024)
   Spatial city image and its formative factors: A street-based neighborhood cognition analysis.
   Cities 149: 104898 (Open access).
9. 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).
10. 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).
11. 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).
12. 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.
13. 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).
14. Oyama, Y.,  Hato, E. (2019)
    Prism-based path set restriction for solving Markovian traffic assignment problem.
    Transportation Research Part B: Methodological 122: 528-546.
15. 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).
16. 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

17. Kizaki, R., Yaginuma, H., Oyama, Y., Terabe, S., Suzuki, Y. (2024) Dynamic pedestrian route choice model considering street landscape and spatial characteristics. Journal of Japan Society of Civil Engineers D3 (Infrastructure Planning and Management) 80(20).
    
18. Okamura K., Oyama, Y., Chikaraishi, M., Takami, K., Parady, G. (2024) Modeling collective decisions on eating-out location choice. Journal of the City Planning Institute of Japan 59(3).
    
19. 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.
    
20. 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.
    
21. 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.
    
22. 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.
    
23. 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
24. 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.
25. 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.
26. 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.
27. 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]
28. 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
29. 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.
30. 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. Imamura, K., Oyama, Y. (2025) Optimizing loading space locations for walkable city centers. Available at SSRN.
2. Wang, J., Oyama, Y. (2025) Comparative analysis of pedestrian global-local route choice across different urban contexts. Available at SSRN.
3. Fujiwara, K., Oyama, Y., Chikaraishi, M., Fujiwara, A. (2025) A joint model of pedestrian movers and stayers in urban public spaces. Available at SSRN.
4. Gramsch-Calvo, B., Okamura, K., Takami, K., Oyama, Y., Chikaraishi, M., Axhausen, K.W., Parady, G. (2024) Going the extra mile: Estimating the willingness to travel to meet with friends using a joint destination choice model, ETH Research Collection, ETH Zürich.
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.

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