It is generally accepted that compliance behavior is affected by many factors. The purpose of this study is to investigate the effects of diverse factors on drivers’ guidance compliance behaviors under road condition information shown on graphic variable message sign (VMS), and based on this...

As an extension of multi-class classification, machine learning algorithms have been proposed that are able to deal with situations in which the class labels are defined in a non-crisp way. Objects exhibit in that sense a degree of membership to several classes. In a similar setting, models are...

When a binary or ordinal regression model incorrectly assumes that er- ror variances are the same for all cases, the standard errors are wrong and (unlike ordinary least squares regression) the parameter estimates are biased. Hetero- geneous choice models (also known as location–scale models...

This paper explores the association between Body Mass Index and a set of variables concerning consumer interest toward nutritional information, quality and marketing characteristics of food products. Socio-demographic and life-style aspects are also examined to profile excess weight consumers....

Understanding the key factors influencing policy perception can be critical for informing the design of public policies. Feebates is a unique public policy that is meant to influence vehicle purchases. It presents buyers with a rebate for purchasing low-emission vehicles and a fee for purchasing...

Determining appropriate topics and target audiences is essential to design effective educational outreach programs. Based on landowner responses to a mail survey, we determined both the importance and the availability of wildlife and forest management information topics to Mississippi...

A tree-based algorithm for longitudinal regression analysis that aims to learn whether and how the effects of predictor variables depend on moderating variables is presented. The algorithm is based on multivariate generalized linear mixed models and it builds piecewise constant coefficient...

This paper aims at describing urban sprawl driven land use changes during the last decades in Greece as well as analyzing the major regional and economic development implications. Particular attention is given to the analysis of possible driving forces with economic and social origin that...

In ordinal regression, a score function and threshold values are sought to classify a set of objects into a set of ranked classes. Classifying an individual in a class with higher (respectively lower) rank than its actual rank is called an upgrading (respectively downgrading) error. Since...

Purpose This study aims to measure the relationship between the current practice status of good governance and that of integrity in the public sector of Malaysia. Design/methodology/approach This study collected primary data based on a set of questionnaire surveys among heads of 109 departments...