00778959

Component

https://doi.org/10.3141/1679-03

http://scholar.google.com...uist&publication_year=1999

An alternative to transportation policy making, the agenda-setting framework, which is more realistic than the rational-comprehensive perspective of policy making traditionally taught to and applied by engineers and planners, is presented. In general, this framework for analysis suggests that before a policy decision is made, two important processes are at work: agenda setting and the selection of alternative solutions. The process of setting the agenda focuses attention on certain issues instead of others, whereas the selection of alternatives focuses attention on certain solutions instead of others. These processes are nonlinear, dynamic, and contrary to much of what is expected from the rational-comprehensive model. These two competing perspectives are outlined, and the rise of intelligent transportation system technologies as solutions for transportation problems is used as an illustration of the agenda-setting perspective.

This paper appears in Transportation Research Record No. 1679, Intelligent Transportation Systems, Vehicle-Highway Automation, and Artificial Intelligence.

English

p. 15-21

1999

Transportation Research Record

0309071054

References (27)

Intelligent transportation systems; Policy making; Problem solving; Transportation policy

Highways; Operations and Traffic Management; Planning and Forecasting; Policy; I72: Traffic and Transport Planning

TRIS, TRB

Nov 30 1999 12:00AM

• ANALYSIS OF INTERNATIONAL BORDER CLEARANCE TECHNOLOGIES
• ARTIFICIAL INTELLIGENCE SEARCH ALGORITHMS FOR DYNAMIC TRAFFIC ROUTING
• BREAKING THE HIGHWAY CAPACITY BARRIER: ADAPTIVE CRUISE CONTROL-BASED CONCEPT
• COMPUTATIONAL ISSUES IN MICRO-GENETIC ALGORITHMS FOR TRAFFIC MANAGEMENT
• DEVELOPMENT OF HIERARCHICAL METHODOLOGY FOR BENEFIT EVALUATION OF VEHICLE-HIGHWAY AUTOMATION: CASE STUDY OF THE HOUSTON KATY FREEWAY
• DEVELOPMENT OF VISION-BASED VEHICLE DETECTION AND RECOGNITION SYSTEM FOR INTELLIGENT VEHICLES
• IMPACT OF INTELLIGENT CRUISE CONTROL ON MOTORWAY CAPACITY
• INCORPORATING NEURAL NETWORK TRAFFIC PREDICTION INTO FREEWAY INCIDENT DETECTION
• INTELLECTUAL CHALLENGES TO DEPLOYABILITY OF ADVANCED VEHICLE CONTROL AND SAFETY SYSTEMS
• INTELLIGENT TRANSPORTATION SYSTEMS PLANNING IN A MEDIUM-SIZED, RELATIVELY UNCONGESTED URBAN AREA
• INTELLIGENT TRANSPORTATION SYSTEMS: A TWO-EDGED SWORD FOR OLDER DRIVERS?
• LEARNING TO ASSOCIATE OBSERVED DRIVER BEHAVIOR WITH TRAFFIC CONTROLS
• LESSONS LEARNED FROM A REVIEW OF EVALUATIONS OF AUTOMATED HIGHWAY SYSTEMS
• METHOD TO PREPROCESS OBSERVED TRAFFIC DATA FOR CONSISTENCY: APPLICATION OF FUZZY OPTIMIZATION CONCEPT
• METROPOLITAN MODEL DEPLOYMENT INITIATIVE: A LEARNING EXPERIENCE
• REGIONAL ARCHITECTURES: STRENGTHENING THE TRANSPORTATION PLANNING PROCESS
• TOWARD A CONSUMER DEMAND-DRIVEN INTELLIGENT TRANSPORTATION SYSTEM POLICY: FINDINGS FROM SOUTHERN CALIFORNIA
• TRAFFIC ESTIMATION FOR PROACTIVE FREEWAY TRAFFIC CONTROL
• TRANSPORTATION OPERATIONS COORDINATING COMMITTEE SYSTEM FOR MANAGING INCIDENTS AND TRAFFIC: EVALUATION OF THE INCIDENT DETECTION SYSTEM
• WHAT ADVANCED TRAVELER INFORMATION SYSTEM INFORMATION DO USERS WANT? EVIDENCE FROM IN-VEHICLE NAVIGATION DEVICE USERS