• Academic Degree:
Master in Civil Engineering at Texas A&M University (College Station, TX)
ABD in Civil Engineering at University of Virginia (Charlottesville, VA)
• Organization: MWCOG/TPB (National Capital region MPO)
• Occupation: Transportation Engineer IV
• Major Tasks: Mobile Emission Analysis, Travel Forecasting, Project Planning, Advanced Data Analysis

Howard Slavin is the Founder and President of Caliper Corporation. He has more than forty years of experience in travel demand modeling, geographic information systems, and the development of software for transportation forecasting. Dr. Slavin initiated and has guided the development of all of Caliper’s software products including TransCAD, MAPTITUDE, and TransModeler. He holds an AB degree from Yale College in Mathematics and Urban Studies, a Master’s degree in Urban and Regional Planning from Harvard University, and a Ph.D. from the University of Cambridge in England.

Mr. McClellan evaluates economic and financial feasibility of freight and passenger transport. Having extensively assessed all modes (road, air, port, and rail transport) in the US and abroad, Mr. McClellan tailors evaluation methods and economic models to quantify and prioritize implications of proposed infrastructure improvements and policy changes. Reports, presentations, and discussions streamline data and findings to facilitate client (public and private) understanding and decision making. Mr. McClellan’s earned an MBA in International Business and an undergraduate degree in Economics.

Mr. McClellan’s experience has broadened his perspective between benefit-cost and economic impact analyses. Both should be approached from a net vs. gross perspective that avoids conflating transfer and/or natural growth effects. And, both should measure the effects of infrastructure improvements versus a no-build scenario. This typically requires well-vetted VHT and VMT changes by vehicle type and trip purpose. Such changes provide inputs into monetizing transport benefits. And, the monetized benefits provide the best inputs into coherent and cogent economic impact analyses that avoid double-counting and transfer effects.

I am a spatial statistician in the Office of Spatial Analysis and Visualization at the Bureau of Transportation Statistics, where I work on an array of projects using geospatial data, covering most major modes of transportation. '

A major theme to my work over my three years at USDOT has been harnessing big spatial datasets, particularly those collected via GPS receptors in transport vehicles and vessels, to develop new statistical products for BTS; these include Automatic Identification System (AIS) messages from ships, radar-detected aircraft positions from air traffic control systems used by the Federal Aviation Administration, and freight truck positions collected by industry researchers.

My other projects span many other topics, include General Transit Feed Specification (GTFS) datasets from transit, rural accessibility, transportation equity, open data, and weather-transportation impacts.