… This study applies Bayesian networks (BNs) to understand the expected association of
various mobility options. The selection of BNs was based on its capability to consider the …

… Whereas similar prior studies have relied on static Bayesian network, in this study a Dynamic
Bayesian network based on retrospective life trajectory data was applied to examine the …

… This approach enriches policy analyses in the sense it recognizes that improved travel options
… Bayesian networks is time variant. In this paper, we apply a dynamic Bayesian network to …

… This study uses the Bayesian network approach to study the dynamic relationships among …
direct and indirect relationships between these mobility decisions. Parameter learning is then …

… estimates of travel time can improve the overall performance of such systems, leading to
more accurate information for the users including better routes and better transportation options […

… , info-mobility system, and the application of Bayesian Network Modeling in past related
studies. … -form format in which respondents need to choose the option that best describes them. …

… Most studies also deal with the penetration and utilization of AVs and other mobility options.
… determining the variables used in the Bayesian Network in the next section. The variable “…

… This study proposes a hybrid approach integrated with the Geographical information system
(GIS) and Bayesian network (BN) to deal with the location selection problem for EVs. GIS …

… associated with transport and people’s mobility. Recent developments focus on explainable
… of an explainable-by-design model, Bayesian Networks, on travel behaviour. The model …

… due to limited access to transport options. Recently, researchers have … In particular, dynamic
Bayesian networks are used to … mobility using public transport through the Bayesian network …