Using Decision Support Systems for Transportation Planning Efficiency

The integration of technology into the transport planning sector has allowed for more stable, yet increasingly complex models that enable better analysis techniques and new approaches to decision making. These modern advances ensure higher productivity in addressing various planning problems. Using Decision Support Systems for Transportation Planning Efficiency is a valuable reference source of the latest scholarly research on the vast improvements that computational innovations have made for transportation planners. Featuring extensive coverage on a range of topics relating to spatial planning, environmental risks of transport, and traffic information systems, this publication is a pivotal reference source for transportation planners, professionals, and academicians seeking expert information on a multitude of transportation issues. This publication features timely chapters relevant to the area of transport planning, including artificial neural network models, logistics hubs, urban growth and expansion, accessibility modeling, sustainable mobility, hazardous materials transport, and urban intersections.

Ebru V. Ocalir-Akunal is an associate professor in the City and Regional Planning Department of the Gazi University, Ankara, Turkey. She graduated from the City and Regional Planning Department of Gazi University in 1993. She completed her masters studies in the Regional Planning Department of the METU in 1996. She got her Ph. D. degree from the Institute for Transport Planning and Traffic Engineering of Vienna University of Technology in 2003. She carried out post-doctoral studies in the Research Centre of Transport Planning and Traffic Engineering of Vienna University of Technology in 2010. Her main topics of research are the development of spatial structures and mobility and decision support systems.