1.1. Agatz, N., Erera, A., Savelsbergh, M., Wang, X.: Optimization for dynamic ride-sharing: a review. Eur. J. Oper. Res. 223(2), 295–303 (2012)
1.2. Aiko, S., Itabashi, R., Seo, T., Kusakabe, T., Asakura, Y.: Social benefit of optimal ride-share transport with given travelers’ activity patterns. Transportation Research Procedia 27, 261–269 (2017)
1.3. Aiko, S., Thaithatkul, P., Asakura, Y.: Incorporating user preference into optimal vehicle routing problem of integrated sharing transport system. Asian Transport Studies 5(1), 98–116 (2018)
1.4. Docherty, I., Marsden, G., Anable, J.: The governance of smart mobility. Transp. Res. A Policy Pract. 115, 114–125 (2018)
1.5. Ehrgott, M.: Multicriteria Optimization. Springer-Verlag Berlin Heidelberg (2005) International Journal of Intelligent Transportation Systems Research
.6. Fagnant, D.J., Kockelman, K.M.: Dynamic ride-sharing and optimal fleet sizing for a system of shared autonomous vehicles. In: Transportation research board 94th annual meeting (2015)
1.7. Gurobi Optimization, LLC : Gurobi optimizer reference manual. http://www.gurobi.com (2020)
1.8. Gurumurthy, K.M., Kockelman, K.M., Zuniga-Garcia, N.: First-mile-last-mile collector-distributor system using shared autonomous mobility. Transportation Research Record: Jour- nal of the Transportation Research Board 2674(10), 638–647 (2020)
1.9. Levin, M.W.: Congestion-aware system optimal route choice for shared autonomous vehicles. Transportation Research Part C: Emerging Technologies 82, 229–247 (2017)
1.10. Levin, M.W., Odell, M., Samarasena, S., Schwartz, A.: A linear program for optimal integration of shared autonomous vehicles with public transit. Transportation Research Part C: Emerging Technologies 109, 267–288 (2019)
1.11. Maruyama, R., Seo, T.: Dynamic user optimal model for shared autonomous vehicles system: development and systematic comparison with social optimal model. IEEE 25th International Conference on Intelligent Transportation Systems (2022)
1.12. Mitani, T., Thaithatkul, P., Kusakabe, T.: The method of arrangement of socio-economic data for the activity-based simulation. Proceedings of Infrastructure Planning, vol. 60. (in Japanese) (2019)
1.13. Narayanan, S., Chaniotakis, E., Antoniou, C.: Shared autonomous vehicle services: A comprehensive review. Transportation Research Part C: Emerging Technologies 111, 255–293 (2020)
1.14. Pinto, H.K., Hyland, M.F., Mahmassani, H.S., Verbas, I.O.: Joint design of multimodal transit networks and shared autonomous mobility fleets. Transportation Research Part C: Emerging Technologies 113, 2–20 (2020)
1.15. Regue, R., Masoud, N., Recker, W.: Car2work: shared mobility concept to connect commuters with workplaces. Transp. Res. Rec. 2542(1), 102–110 (2016)
1.16. Ruch, C., Lu, C., Sieber, L., Frazzoli, E.: Quantifying the efficiency of ride sharing. IEEE Transactions on Intelligent Transportation Systems (2020)
1.17. Seo, T., Asakura, Y.: Multi-objective linear optimization problem for strategic planning of shared autonomous vehicle operation and infrastructure design. IEEE Trans. Intell. Transp. Syst. 23, 3816–3828 (2022). https://doi.org/10.1109/TITS.2021.3071512
1.18. Shan, A., Hoang, N.H., An, K., Vu, H.L.: A framework for railway transit network design with first-mile shared autonomous vehicles. Transportation Research Part C: Emerging Technologies 130, 103223 (2021)
1.19. Sumitomo Electric System Solutions Co., Ltd.: The augmented national digital road map data base. https://www.seiss.co.jp/ms/ gis/map db.html (accessed 2022-05-18)
1.20. Tafreshian, A., Masoud, N., Yin, Y.: Frontiers in service science: ride matching for peer-to-peer ride sharing: a review and future directions. Serv. Sci. 12(2-3), 44–60 (2020)
1.21. Tokyo Metropolitan Area Transportation Planning Council: The sixth person trip survey in Tokyo Metropolitan Area. https://www. tokyo-pt.jp/special 6th (accessed 2022-05-18)
1.22. Tuzun, D., Burke, L.I.: A two-phase tabu search approach to the location routing problem. Eur. J. Oper. Res. 116(1), 87–99 (1999)
1.23. Vanderbeck, F., Savelsbergh, M.W.: A generic view of dantzig– wolfe decomposition in mixed integer programming. Oper. Res. Lett. 34(3), 296–306 (2006)
1.24. Wen, J., Chen, Y.X., Nassir, N., Zhao, J.: Transit-oriented autonomous vehicle operation with integrated demand-supply interaction. Transportation Research Part C: Emerging Technolo- gies 97, 216–234 (2018)