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Author | Data | Assumption and constraints | Analysis/use methodology | Application | Pros | Limitations |
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Barry et al. (2002) [18] | AFC | Two basic assumptions | Trip chaining | New York | Easy to apply | Lack of one trip estimation |
Zhao et al. [19] (2007) and Zhao (2004) [20] | ADC | Walking distance threshold | Database management systems | Chicago | (i) Integrating the AFC and AVL (ii) examining the spatial connection | The model was just focused on the bus and rail station |
Trépanier et al. (2007) [21] | AFC | Walking tolerance is 2 km. | Transportation object-oriented modeling with vanishing route set | Gatineau | The model is quite suitable for regular transit users | Some passenger information such as single ticket user is missing. |
Chu and Chapleau (2008) [22] | AFC | 5 min temporal leeway for uncertainty | The linear interpolation and extrapolation to infer the vehicle position | Société de transport de l’Outauais | Avoids the overestimation of the transfer. | Improves the results of trip purpose and destination inference. |
Nassir et al. (2011) [17] | ADCS AFC AVL | Geographical and temporal check Transfer time threshold | OD estimation algorithm | Minneapolis-Saint Paul | Relative relaxation of the search in finding the boarding stops. | The transfer time threshold is fixed |
Wang et al. (2011) [23] | ADCS AVL | Walking tolerance is 1 km or 12 min. | Trip chaining methodology based on next trip is bus or rail | London | Validates the automatic inference results against large-scale survey results | Linking system usage to home addresses; access behavior could be better understood |
Munizaga and Palma (2012) [24] and Munizaga et al. (2014) [25] | AFC GPS AVL | Generalized time | Position-time alighting estimate model | Santiago | (i) Uses generalized time rather than physical distance (ii) Replaces larger on-board survey | The one trip per card destination estimation is missing. |
Gordon et al. (2013) [26] | AFC AVL | Walking tolerance is 1 km and max. transfer is 30 min. | Four-step trip chaining algorithm | London | The circuity ratios to decide the potential destination for previous journey. | Not all of the passengers alight from the stops closest to the next journey. |
Alsger et al. (2015) [27] | AFC | The dynamic transfer time threshold | OD estimation algorithm | Queensland | Transfer time threshold could be increased. | Extended to compare other estimation methods. |
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