Chakraborty, Subrata

Mengersen, Kerrie

Fidge, Colin

Ma, Lin

Lassen, David

2016

<p>We formalise and present an innovative general approach for developing complex system models from survey data by applying Bayesian Networks. The challenges and approaches to converting survey data into usable probability forms are explained and a general approach for integrating expert knowledge (judgements) into Bayesian complex system models is presented. The structural complexities of the Bayesian complex system modelling process, based on various decision contexts, are also explained along with a solution. A novel application of Bayesian complex system models as a management tool for decision making is demonstrated using a railway transport case study. Customer satisfaction, which is a Key Performance Indicator in public transport management, is modelled using data from customer surveys conducted by Queensland Rail, Australia.</p>

Decision Analytics, v.3, p. 1-24

2193-8636

https://hdl.handle.net/1959.11/43001

SpringerOpen

Attribution 4.0 International

A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport

Journal Article

Publication