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TL;DR: This book is most obviously relevant to practitioners who already have some experience of multiagency facilitation, but might also serve as an introduction to working in this arena, if carefully supplemented with further reading and exploration of the topics it covers.
Abstract: (2002). Business Dynamics—Systems Thinking and Modeling for a Complex World. Journal of the Operational Research Society: Vol. 53, No. 4, pp. 472-473.
2,977 citations
TL;DR: The current paper attempts to guide traffic analysts through the basic requirements of the calibration of microsimulation models, including underlying assumptions of the calibrated process, the scope of the calibrating problem, formulation and automation, measuring goodness-of-fit, and the need for repeated model runs.
Abstract: Traffic microsimulation models normally include a large number of parameters that must be calibrated before the model can be used as a tool for prediction. A wave of methodologies for calibrating such models has been recently proposed in the literature, but there have been no attempts to identify general calibration principles based on their collective experience. The current paper attempts to guide traffic analysts through the basic requirements of the calibration of microsimulation models. Among the issues discussed here are underlying assumptions of the calibration process, the scope of the calibration problem, formulation and automation, measuring goodness-of-fit, and the need for repeated model runs.
196 citations
TL;DR: The Travel Blending® Program as mentioned in this paper is an individual action program to reduce car use in order to address environmental concerns, which involves participating households being sent a series of four kits, containing information booklets and travel diaries, over a nine-week period.
Abstract: This paper outlines a new approach to reducing car use in order to address environmental concerns. The individual action program, known as Travel Blending®, involves participating households being sent a series of four kits, containing information booklets and travel diaries, over a nine-week period. The travel diaries are analysed and a summary of the household’s travel patterns, and the emissions produced by their vehicles, is sent back in a subsequent kit along with suggestions explaining how they could reduce vehicle use. Households complete another set of travel diaries after four weeks and these are analysed so that a comparative summary can be returned to the household with the final kit. The paper describes results from two Australian studies. The first, a pilot study, involving about 50 individuals, was undertaken in Sydney, Australia. The second study involved about 100 households from Adelaide, Australia. Quantitative results from the Adelaide study indicate about a 10% reduction in car driver kilometres with a slightly higher percentage reductions in car driver trips and total hours spent in the car. These results, while very encouraging, must be interpreted cautiously. Further research will be required to explore the generalisability and magnitude of the effect of the Travel Blending® Program on travel behaviour.
187 citations
TL;DR: A review of travel behavior change programs in Australia can be found in this article, where the authors examine the issues relating to the various programs and discuss the techniques used and the results and evaluations.
119 citations
TL;DR: The question of whether it is possible to look at the outputs of each single run of a traffic microsimulation model as estimates of traffic conditions on a single day, while accounting for the fact that randomness and heterogeneity are in the nature of traffic phenomena is raised.
Abstract: In recent years, the reliability of transport systems has been widely recognised as a key issue in transport planning and evaluation. To analyse the level of reliability we need information about the distribution of travel times. Transport analysts are in a serious need for tools to estimate this distribution in hypothetical scenarios, but there are currently few such tools. In this paper we raise the question of whether it is possible to look at the outputs of each single run of a traffic microsimulation model as estimates of traffic conditions on a single day, while accounting for the fact that randomness and heterogeneity are in the nature of traffic phenomena. If it is possible to establish an analogy between a single run and a single day, then the distribution of outputs between runs can be used as an estimate of the respective distribution in the real network. Investigating this issue is vital since many practitioners wrongly assume that such analogy can be taken for granted. We discuss here methodological, statistical and computational aspects that this question brings in, and illustrate them in a series of experiments, where a special procedure for calibrating the microsimulation model has a key role.
102 citations
Authors
Showing all 31 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Tom Cohen | 9 | 18 | 246 |
| Elizabeth Ampt | 9 | 15 | 841 |
| Anne Halvorsen | 5 | 8 | 134 |
| Charles Cheung | 4 | 7 | 75 |
| Martin Gaunt | 4 | 5 | 238 |
| Matthew Clark | 3 | 3 | 28 |
| Matteo Novati | 3 | 3 | 26 |
| Patrick Miller | 3 | 3 | 113 |
| Yaron Hollander | 2 | 2 | 257 |
| Jessica Wundke | 2 | 2 | 25 |
| Viviana Farbiarz Castro | 2 | 2 | 11 |
| Alex Mitrani | 2 | 6 | 13 |
| Germán Lleras | 1 | 1 | 26 |
| Stephen Hewitt | 1 | 1 | 1 |
| J Swanson | 1 | 1 | 2697 |