01155474

Component

https://doi.org/10.3141/2197-11

http://scholar.google.com...Dill&publication_year=2010

Discrete choice model estimation requires specification of the alternatives considered for each observed choice. In route choice problems based on real-world travel observations, generally only the chosen route is observed, and the rest of the choice set remains hidden from the analyst. In dense travel networks, thousands of paths may connect a given origin or destination, necessitating methods for generating a reasonable subset of options. A new method is proposed for generating deterministic route choice sets. The technique modifies the labeled routes method, in which multiple criteria are optimized individually to generate attractive routes. The proposed method offers two potential improvements: (a) multiple routes are generated for each label by allowing a sensitivity parameter to vary and (b) a calibration step fits the alternative shortest path deviation distribution to observed behavior. The resulting process is more flexible than traditional labeled routes, yet it maintains strong links to behavior and reduces potential attribute bias. The proposed calibrated labeling method is applied to bicyclist route choice in a dense urban network. Results suggest that the proposed technique outperforms existing methods on several key criteria. In addition, explicitly linking choice set generation to observed travel patterns creates a more intuitive behavioral link than existing strategies. The proposed method should be immediately useful for route choice modeling in similar contexts. Furthermore, the basic framework could be more broadly applicable for route choice set generation.

01330157

10-3610

English

pp 89-97

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160735

Print

Figures (3) ; References (18) ; Tables (3)

Bicycle travel; Choice models; Cyclists; Discrete systems; Origin and destination; Route choice; Shortest path algorithms; Travel behavior; Travel patterns

Choice set generation; Discrete choice models; Urban networks

Highways; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 25 2010 11:50AM

• Algorithm for Crew-Scheduling Problem with Bin-Packing Features
• Allocating Departure Time Slots to Optimize Dynamic Network Capacity
• Bilevel Highway Route Optimization
• Bilevel Programming Model for Minimum-Cost Travel Time Data Collection with Time Windows
• Choosing the Right Express Services for Bus Corridor with Capacity Restrictions
• Column Generation Method for U.S. Army Logistics Air Fleet Scheduling
• Comparison of MATSim and EMME/2 on Greater Toronto and Hamilton Area Network, Canada
• New Modifications to Bus Network Design Methodology
• Optimal All-Stop, Short-Turn, and Express Transit Services Under Heterogeneous Demand
• Policy-Making Tool for Optimization of Transit Priority Lanes in Urban Network
• Railway Capacity Model and Decision Support Process for Strategic Capacity Planning
• Train Timetable Optimizing and Rescheduling Based on Improved Particle Swarm Algorithm
• Vehicle Routing Problem for Emissions Minimization