Abstract

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Paper
Geospatial Modeling of Ship Traffic and Air Emissions
Track: Transportation
Author(s): Chengfeng Wang, John Callahan, James Corbett

We present the Ship Traffic, Energy and Environment Model (STEEM) to predict the routes of inter-port ship movements, estimate ship energy use and air emissions, and to produce gridded ship emissions inventory. We built an empirical global waterway dataset with ~10,000 segments based on the network structure derived from 20-year historical locations of ships. Applying ArcGIS Network Analyst, we solved ~21,000 routes (unique pairs of ~1,800 world ports) on the global network for ~170,000 trips in North America in 2002. Based on the length of segments, ship attributes, emissions estimation algorithm, and relationship between individual ships, trips, routes, and segments of the network, we calculated number of trips, amount of air emissions from individual segments, and produced the gridded ship emissions inventory. We also present the ongoing work on refining the network for the San Francisco Bay area using ship Automatic Identification System (AIS) data and the future work to develop a comprehensive GIS-based ship emissions inventory model for the State of California.

Chengfeng Wang
California Air Resources Board
Planning & Technical Support Division
1001 I Street
Sacramento , CA 95812
US
Phone: (916)322-1719
Fax: (916) 327-8524
E-mail: cwang@arb.ca.gov

John Callahan
University of Delaware
Research & Data Management Services
Research & Data Management Services
University of Delaware, Smith Hall
Newark , DE 19716
US
Phone: 302 831 1978
E-mail: diodata@udel.Edu

James Corbett
University of Delaware
College of Marine and Earth Studies
University of Delaware
Robinson Hall
Newark , DE 19716
US
Phone: 302 831 0768
E-mail: jcorbett@udel.edu