A methodology to estimate time varying user responses to travel time and travel time reliability in a road pricing environment

Road pricing has emerged as an effective means of managing road traffic demand while simultaneously raising additional revenues to transportation agencies. Research on the factors that govern travel decisions has shown that user preferences may be a function of the demographic characteristics of the individuals and the perceived trip attributes. However, it is not clear what are the actual trip attributes considered in the travel decision- making process, how these attributes are perceived by travelers, and how the set of trip attributes change as a function of the time of the day or from day to day. In this study, operational Intelligent Transportation Systems (ITS) archives are mined and the aggregated preferences for a priced system are extracted at a fine time aggregation level for an extended number of days. The resulting information is related to corresponding time-varying trip attributes such as travel time, travel time reliability, charged toll, and other parameters. The time-varying user preferences and trip attributes are linked together by means of a binary choice model (Logit) with a linear utility function on trip attributes. The trip attributes weights in the utility function are then dynamically estimated for each time of day by means of an adaptive, limited-memory discrete Kalman filter (ALMF). The relationship between traveler choices and travel time is assessed using different rules to capture the logic that best represents the traveler perception and the effect of the real-time information on the observed preferences. The impact of travel time reliability on traveler choices is investigated considering its multiple definitions. It can be concluded based on the results that using the ALMF algorithm allows a robust estimation of time-varying weights in the utility function at fine time aggregation levels. The high correlations among the trip attributes severely constrain the simultaneous estimation of their weights in the utility function. Despite the data limitations, it is found that, the ALMF algorithm can provide stable estimates of the choice parameters for some periods of the day. Finally, it is found that the daily variation of the user sensitivities for different periods of the day resembles a well-defined normal distribution.

Travel report fiscal year 2003-2004

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2004-2005

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2005-2006

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2006-2007

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2007-2008

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2008-2009

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2009-2010

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2010-2011

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2011-2012

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2012-2013

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

Travel report fiscal year 2014-2015

The South Carolina Office of the Comptroller General publishes an annual travel report with provides information on state travel expenditures by all agencies during the fiscal year. The reports also contain a summary of total travel expenditures by agency and a breakdown of the top travelers in each agency.

An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns

This paper aims to find relations between the socioeconomic characteristics, activity participation, land use patterns and travel behavior of the residents in the Sao Paulo Metropolitan Area (SPMA) by using Exploratory Multivariate Data Analysis (EMDA) techniques. The variables influencing travel pattern choices are investigated using: (a) Cluster Analysis (CA), grouping and characterizing the Traffic Zones (17), proposing the independent variable called Origin Cluster and, (b) Decision Tree (DT) to find a priori unknown relations among socioeconomic characteristics, land use attributes of the origin TZ and destination choices. The analysis was based on the origin-destination home-interview survey carried out in SPMA in 1997. The DT application revealed the variables of greatest influence on the travel pattern choice. The most important independent variable considered by DT is car ownership, followed by the Use of Transportation ""credits"" for Transit tariff, and, finally, activity participation variables and Origin Cluster. With these results, it was possible to analyze the influence of a family income, car ownership, position of the individual in the family, use of transportation ""credits"" for transit tariff (mainly for travel mode sequence choice), activities participation (activity sequence choice) and Origin Cluster (destination/travel distance choice). (c) 2010 Elsevier Ltd. All rights reserved.