This article provides an introduction to the various public data sources that exist at the Federal, State, County and local levels that can help enhance the typical data analysis assignment.
Environmental Permitting Timelines in the US
The regulatory regimes that govern the permitting and authorization processes that are required prior to initiation of major infrastructure projects in the United States are quite complex. It can take significant time and effort to obtain the necessary permits and authorizations. In this article, we look at time to complete some of the most common permitting actions for major projects using data available from the Federal Infrastructure Permitting Dashboard.
Modeling Crop Insurance Claims
This article provides an overview of the crop insurance program in the US provided by the Federal Crop Insurance Corporation via a network of private firms. We review the evolution of the program during the past two decades and suggest an approach to model the loss to liability ratio. We show that the Weibull distribution provides a reasonable option to model the loss payments between 0% and 100% of the liability levels, a finding consistent with prior research on insurance claims modeling.
Modeling Flood Insurance Claim Payouts
The flood insurance program in the US is managed by Federal Emergency Management Agency through the National Flood Insurance Program. In this article, we review the claims filed during the period 1970 – 2019, and examine how the claims payments can be modeled. We look at the claims both at a global level and at an individual event level. We suggest an approach to model the payout coverage ratio and show that the log-normal distribution provides a reasonable option to model the payments between 0% and 100% of the total policy coverage levels.
Machine Learning and Insurance Claim Forecasts
Insurance claims forecasting for extreme weather events that result in large scale destruction such as hurricanes, wildfires, floods, etc. is an important planning activity for insurance firms and any process improvements that can enhance the accuracy and quality of the forecasts should be welcome. This article provides an introduction to the forecasting methodology for insurance claims payouts and then discuss potential use of machine learning techniques to enhance the forecasting process.
I495/I270 Managed Lane P3 Project
The Maryland Department of Transportation is in the process of soliciting proposals from private sector developers to design, build, operate and finance the construction of additional lanes on I495 and I270 highways in Maryland. These additional lanes will be developed as “managed lanes”, i.e., toll lanes where certain high occupancy vehicles are allowed to use for free.
Are managed lanes worth it? Empirical data on time savings and tolls paid from SR91, California
Please access the paper here.
Differences in Subjective and Social Value of Time: Empirical Evidence from Traffic Study in Croatia
Please access the paper here.
Arterial incident detection using fixed detector and probe vehicle data
Please access the paper here.
Arterial incident detection integrating data from multiple sources
Please access the paper here.