原文传递
MODELING REVEALED AND STATED PRETRIP TRAVEL RESPONSE TO ADVANCED TRAVELER INFORMATION SYSTEMS.
| 题名： | MODELING REVEALED AND STATED PRETRIP TRAVEL RESPONSE TO ADVANCED TRAVELER INFORMATION SYSTEMS. |
| 作者： | Khattak-A; Polydoropoulou-A; Ben-Akiva-M |
| 关键词： | ADVANCED-TRAVELER-INFORMATION-SYSTEMS; PRETRIP-TRAVEL-RESPONSE; SURVEYS-DATA-COLLECTION; COMMUTERS-; CALIFORNIA-BAY-AREA; TRAFFIC-CONGESTION; FUTURE-SCENARIOS; STATED-PREFERENCE; DECISION-MAKING; TRANSPORTATION-MODELS; MULTINOMIAL-LOGIT; TRAFFIC-DELAY; TRAVEL-BEHAVIOR; REAL-TIME; TRAFFIC-INFORMATION-SYSTEMS |
| 摘要： | Advanced traveler information systems (ATISs) offer benefits to travelers and may improve transportation system performance in congested areas. An understanding of how information affects travelers' decisions can help in evaluating benefits and designing demand management strategies. The objective of the present study was to explore how people deal with unexpected congestion during the pretrip stage and how they might respond to ATISs. Travelers' routes, departure times, and mode selection decisions were investigated through a survey of Bay Area automobile commuters. The effects of various factors such as sources of congestion information (radio traffic reports versus observation), trip characteristics, and route attributes on travelers' responses to unexpected congestion were examined. The pretrip response to future ATIS technologies was explored through stated preferences (hypothetical scenarios). A combined reported preference and stated preference model of traveler response was developed by using the multinomial logit formulation. The estimations indicate that travel time and information are important determinants of changes in travel decisions in response to unexpected delays. The model indicates a strong relationship between reported and stated preferences. The results indicate that ATISs overcome behavioral inertia and that individuals are more likely to change their travel patterns in response to prescriptive information. More specific findings and their implications for ATIS design are also discussed. |
| 总页数： | Transportation Research Record. 1996. (1537) pp46-54 (1 Fig., 3 Tab., 20 Ref.) |
| 报告类型： | 科技报告 |
相关文献
- MODELING REVEALED AND STATE EN-ROUTE TRAVEL RESPONSE TO ADVANCED TRAVELER INFORMATION SYSTEMS.
- Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification.
- MODELING LEVEL-OF-SERVICE FACTORS IN PUBLIC TRANSPORTATION ROUTE CHOICE.
- DATA-CONSISTENT FUZZY APPROACH FOR ONLINE DRIVER BEHAVIOR UNDER INFORMATION PROVISION.
- Unified Mixed Logit Framework for Modeling Revealed and Stated Preferences: Formulation and Application to Congestion Pricing Analysis in the San Francisco Bay Area. Research rept.
- DEVELOPMENT OF HUMAN FACTORS GUIDELINES FOR ADVANCED TRAVELER INFORMATION SYSTEMS (ATIS) AND COMMERCIAL VEHICLE OPERATIONS (CVO): INVESTIGATION OF USER STEREOTYPES AND PREFERENCES.
检索历史
应用推荐
