Forecasting and Evaluating Network Growth
This research assesses the implications of existing trends on future network investment, comparing alternative scenarios concerning budgets and investment rules across a variety of performance measures. The main scenarios compare 'stated decision rules', processes encoded in flowcharts and weights developed from official documents or by discussion with agency staff, with 'revealed decision rules', weights estimated statistically based on observed historical behavior. This research specifies the processes necessary to run the network forecasting models with various decision rules. Results for different scenarios are presented including adding additional constraints for the transportation network expansion and calibration process details. We find that alternative decision rules make only small differences in overall system performance, though they direct investments to very different locations. However, changes in total budget can make a significant difference to system-wide performance.
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Volume (Year): 12 (2012)
Issue (Month): 2 (June)
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- David Levinson & Bhanu Yerra, 2006.
"Self Organization of Surface Transportation Networks,"
200603, University of Minnesota: Nexus Research Group.
- David Levinson & Bhanu Yerra, 2006. "Self-Organization of Surface Transportation Networks," Transportation Science, INFORMS, vol. 40(2), pages 179-188, May.
- Bhanu Yerra & David Levinson, 2005.
"The Emergence of Hierarchy in Transportation Networks,"
200507, University of Minnesota: Nexus Research Group.
- Bhanu Yerra & David Levinson, 2005. "The emergence of hierarchy in transportation networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(3), pages 541-553, 09.
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