This article presents results from the first statistically significant study of cost escalation in transportation infrastructure projects. Based on a sample of 258 transportation infrastructure projects worth US$90 billion and representing different project types, geographical regions, and historical periods, it is found with overwhelming statistical significance that the cost estimates used to decide whether such projects should be built are highly and systematically misleading. Underestimation cannot be explained by error and is best explained by strategic misrepresentation, that is, lying. The policy implications are clear: legislators, administrators, investors, media representatives, and members of the public who value honest numbers s...
This paper focuses on problems and their causes and cures in policy and planning for large-infrastru...
Over the past fifteen years, Australian governments have spent $28 billion more on transport infrast...
This article presents results from the first statistically significant study of traffic forecasts in...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
© 2018 Elsevier Ltd The methodology, analysis, and the unfounded conclusions presented in the paper ...
Despite the enormous sums of money being spent on transportation infrastructure, surprisingly little...
Since cost estimates are the basis for decision making regarding project selection, underestimation ...
Results from the first statistically significant study of the causes of cost escalation in transport...
This article presents results from the first statistically significant study of causes of cost escal...
Despite the hundreds of billions of dollars being spent on infrastructure development — from roads, ...
© 2019 Elsevier Ltd Delivering transportation projects to their budgeted cost remains a challenge fo...
This paper focuses on problems and their causes and cures in policy and planning for large-infrastru...
Over the past fifteen years, Australian governments have spent $28 billion more on transport infrast...
This article presents results from the first statistically significant study of traffic forecasts in...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
This article presents results from the first statistically significant study of cost escalation in t...
© 2018 Elsevier Ltd The methodology, analysis, and the unfounded conclusions presented in the paper ...
Despite the enormous sums of money being spent on transportation infrastructure, surprisingly little...
Since cost estimates are the basis for decision making regarding project selection, underestimation ...
Results from the first statistically significant study of the causes of cost escalation in transport...
This article presents results from the first statistically significant study of causes of cost escal...
Despite the hundreds of billions of dollars being spent on infrastructure development — from roads, ...
© 2019 Elsevier Ltd Delivering transportation projects to their budgeted cost remains a challenge fo...
This paper focuses on problems and their causes and cures in policy and planning for large-infrastru...
Over the past fifteen years, Australian governments have spent $28 billion more on transport infrast...
This article presents results from the first statistically significant study of traffic forecasts in...