Integrating Behavioral Models in Network Operations: Evaluating Traveler Information and Demand Management for Weather-Related Events. Issue 1 (January 2014)

• Record Type: Journal Article
• Authors: Frei, Andreas; Mahmassani, Hani S.; Zockaie, Ali; Frei, Charlotte
• Is Part Of: Transportation research record. Volume 2434:Issue 1(2014)
• Page Start: 80
• Page End: 88
• Publication Date: 2014-01
• Subjects: Transportation -- Periodicals; Roads; Transport -- Périodiques; Routes -- Périodiques; Routes -- Conception et construction -- Périodiques; Roads; Transportation; 388.05
• DOI: 10.3141/2434-10
• Languages: English
• ISSNs: 0361-1981

Abstract

The main goal of the study was to integrate demand models into weather-responsive network traffic estimation and prediction system methodologies. The study examined the behavioral responses of travelers along several dimensions in response to weather-related transportation management strategies in conjunction with active travel demand management strategies before and during severe weather events. Specific management interventions included pretrip, information-based mode, and departure time choice adjustments, as well as policy-based rescheduling of school hours. The paper presents a case study of the Chicago, Illinois, area network under snow conditions to assess the effect of a combination of demand management strategies to maintain the same level of network performance as under clear weather conditions. A combination of earlier dissemination of information and school-opening policy resulted in a similar level of network performance maintained under a median snow day as compared with a clear weather day. The paper presents integrated supply and demand models for simulation and an assessment of demand management strategies in conjunction with weather-related congestion.