TY - JOUR
T1 - Towards process validation for complex transport models
T2 - A sensitivity analysis of a social network-enhanced activity-travel model
AU - Ronald, N.A.
AU - Arentze, T.A.
AU - Timmermans, H.J.P.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Model validation is a significant issue for the modelling of social network-based transportation models because of the many interacting components (the individuals, the environment, and now the network) in the model. In this paper we focus on a sensitivity analysis for such a model, which is part of a larger validation approach known as process validation. This approach investigates both the structure and behaviour of the model, to evaluate whether the model can be used for prediction. The paper draws on a novel set of experiments with an agent-based model which was developed to explore the effects of social networks on activity and travel behaviour. Several versions of the model were created, beginning with a single day model with no interaction, and then adding in multi-day runs with interactions, in order to demonstrate the validation process. The paper argues that testing the model at different levels of complexity increases confidence in the model and makes it easier to locate components or functionality that require improvement. It concludes by suggesting that this approach to sensitivity testing should be adopted for validation of complex transportation models.
AB - Model validation is a significant issue for the modelling of social network-based transportation models because of the many interacting components (the individuals, the environment, and now the network) in the model. In this paper we focus on a sensitivity analysis for such a model, which is part of a larger validation approach known as process validation. This approach investigates both the structure and behaviour of the model, to evaluate whether the model can be used for prediction. The paper draws on a novel set of experiments with an agent-based model which was developed to explore the effects of social networks on activity and travel behaviour. Several versions of the model were created, beginning with a single day model with no interaction, and then adding in multi-day runs with interactions, in order to demonstrate the validation process. The paper argues that testing the model at different levels of complexity increases confidence in the model and makes it easier to locate components or functionality that require improvement. It concludes by suggesting that this approach to sensitivity testing should be adopted for validation of complex transportation models.
KW - Social networks
KW - Transport modelling
KW - Validation
UR - http://www.scopus.com/inward/record.url?scp=84944930716&partnerID=8YFLogxK
U2 - 10.1016/j.compenvurbsys.2015.09.005
DO - 10.1016/j.compenvurbsys.2015.09.005
M3 - Article
AN - SCOPUS:84944930716
SN - 0198-9715
VL - 55
SP - 24
EP - 32
JO - Computers, Environment and Urban Systems
JF - Computers, Environment and Urban Systems
ER -