1997
DOI: 10.1016/s0968-090x(97)00017-x
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Evaluating public transport efficiency with neural network models

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Cited by 99 publications
(62 citation statements)
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“…See further Ref. 10. Also, the proposed ANN approaches can learn from experience and can generalize, estimate, predict, with few assumptions about data and relationships between variables.…”
Section: Discussionmentioning
confidence: 99%
“…See further Ref. 10. Also, the proposed ANN approaches can learn from experience and can generalize, estimate, predict, with few assumptions about data and relationships between variables.…”
Section: Discussionmentioning
confidence: 99%
“…The results are shown in Table 3 through Table 5. In Table 3 the rankings of the power plants based on Athanassopoulos and Curram (1996) study which is called ''standardized efficiency'' is shown (Costa & Markellos, 1997;Delgado, 2005;Azadeh et al, 2007). Also Table 4 shows the calculation results according to Azadeh et al (2007) approach.…”
Section: Validity Verificationmentioning
confidence: 99%
“…In empirics, Costa and Markellos (1997) found the so-called 'congested area' in the London underground from 1970 to 1994 in terms of fleet size and workers (inputs) and millions of trains km per year covered by fleet (outputs). Some researchers in educational production function analysis found that traditional restrictive specifications fail to capture potential non-linear effects of school resources (Baker, 2001).…”
Section: Experiments Designedmentioning
confidence: 99%
“…In some cases, this approach has also been explored by Athanassopoulos and Curram (1996), Costa and Markellos (1997), Wang (2003), Santin et al (2004) and Delgade (2005) in handling efficiency measurement problem, but rarely in an international framework with whole countries/industry sectors as units of observation. The majority of the above references has reported that efficiency scores derived from neural networks, if not better than those from traditional approach, at least provide an additional/alternative direction to this problem.…”
mentioning
confidence: 99%