## 3 Methodology
### Model Implementation
(2012)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Incorporating transfer reliability into equilibrium analysis of railway passenger flow. _Eur. J. Oper. Res._**2012**, _220_, 378-385. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach. _Transport. Res. B-Meth._**2019**, _121_, 135-167. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Short-term passenger flow forecast of rail transit station based on MIC feature selection and ST-LightGBM considering transfer passenger flow. _Sci. Program._**2020**, _2020_, 1-15. [CrossRef]
* _[PERSON] et al. (2001)_ [PERSON]; [PERSON]; [PERSON] A doubly dynamic schedule-based assignment model for transit networks. _Transp. Sci._**2001**, _35_, 268-285. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON] Sustainable mobility as a service: Demand analysis and case studies. _Information_**2022**, _13_, 376. [CrossRef]
* _[PERSON] et al. (2015)_ [PERSON]; [PERSON]; [PERSON] A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system. _Neurocomputing_. **2015**, _166_, 109-121. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON] DeepPF: A deep learning based architecture for metro passenger flow prediction. _Transp. Res. Part C Emerg. Technol._**2019**, _101_, 18-34. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A decomposition-based forecasting method with transfer learning for railway short-term passenger flow in holidays. _Expert Syst. Appl._**2022**, _189_, 116102. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] ST-CRMF: Compensated residual matrix factorization with spatial-temporal regularization for graph-based time series forecasting. _Sensors_**2022**, _22_, 5877. [CrossRef]
* _[PERSON] and [PERSON] (2021)_ [PERSON]; [PERSON] Bayesian temporal factorization for multidimensional time series prediction. _IEEE Trans. Pattern Anal. Mach. Intell._**2021**, _44_, 4659-4673. [CrossRef] [PubMed]
* _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Forecasting short-term passenger flow: An empirical study on shenzhen metro. _IEEE Trans. Intell. Transp. Syst._**2018**, _20_, 3613-3622. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep learning on traffic prediction: Methods, analysis and future directions. _IEEE Trans. Intell. Transp. Syst._**2021**, _23_, 4927-4943. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON] Smart city for sustainable development: Applied processes from SUMP to MaaS at European level. _Appl. Sci._**2023**, _13_, 1773. [CrossRef]
* _[PERSON] (2013)_ [PERSON] _Transportation Systems Engineering: Theory and Methods_; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2013. * (16) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Traffic flow decomposition and prediction based on robust principal component analysis. In Proceedings of the 2015 IEEE 18 th International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, Spain, 15-18 September 2015; pp. 2219-2224. * (17) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Network-wide crowd flow prediction of sydney trains via customized online non-negative matrix factorization. In Proceedings of the 27 th ACM International Conference on Information and Knowledge Management, Torino, Italy, 22-26 October 2018; pp. 1243-1252. * (18) [PERSON]; [PERSON]; [PERSON]; [PERSON] PPCA-based missing data imputation for traffic flow volume: A systematical approach. _IEEE Trans. Intell. Transp. Syst._**2009**, _10_, 512-522. * (19) [PERSON]; [PERSON]; [PERSON]; [PERSON] Missing data imputation for traffic congestion data based on joint matrix factorization. _Knowl Based Syst._**2021**, _225_, 107114.