SERVICE UNRELIABILITY AND BUS SUBSIDY
1998
- 43Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage43
- Abstract Views43
Article Description
This paper addresses the link between the degree of unreliability of bus services and the level of optimal bus subsidy. With unreliability influencing user cost, and user cost being a key determinant of optimal bus subsidy, it follows that there is a link between service unreliability and optimal subsidy. Service unreliability is shown to have quite a significant influence on optimal subsidy. The impact is rather small in cases where a single type of user behavior (random or planned) occurs. In contrast, the impact is much more significant when a logic model is used to predict choice between the two types of user behavior.
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