Costruzione di modelli di scelta discreta ibridi per misurare gli effetti delle strategie informative sulla scelta del modo di viaggio contestualmente agli aspetti latenti
type: CreativeWork
description: Road traffic is now the main culprit of air pollution in urban areas, due to the emissions of the combustion products of fuels and their subsequent chemical transformation, as well as to the evaporation of unburned hydrocarbons. Transport accounts for 25% of CO2 emitted globally, and is also one of the few sectors where emissions have continued to grow, oil consumption between 1973 and 2010 increasing by 110% (IEA, 2011) and CO2 by 44 %. (IEA, 2009; Banister et al., 2012). Several actions and measures have been developed to try to mitigate the harmful emissions produced by the transport sector and in particular by road traffic. These largely concern vehicle technology, type of fuel, economic tools and institutional controls. Although powerful, these measures have not been proved to be sufficient to solve the problem (Schwanen et al., 2011). In recent years, research has consequently increasingly focused the attention on measures and policies that affect individuals’ behaviour and in particular what motivates their decisions. Providing information is the measure most used to promote behaviour change (Abrahamse and Matthies, 2012): "A person who has an attitude that suggests that it would be consistent for him or her to use the car less cannot bring about behaviour change if that person does not know how to change" (Ampt, 2003). It has been observed that measures that increase individual’s awareness can produce enduring changes, being the result of mindful decisions. This is at the basis of the concept of "Soft Measures", also referred to as "Voluntary Travel Behaviour Change" (VTBC) programmes (Ampt, 2003) or "Smarter Choices" (Cairns et al., 2004), i.e. programmes aimed at motivating the voluntary reduction of car use. VTBC programmes provide information typically on: a) the negative (mainly environmental) effects of current behaviour and b) how individuals can change their current behaviour to mitigate the negative effects. The types of information provided in thes…
abstract: Road traffic is now the main culprit of air pollution in urban areas, due to the emissions of the combustion products of fuels and their subsequent chemical transformation, as well as to the evaporation of unburned hydrocarbons. Transport accounts for 25% of CO2 emitted globally, and is also one of the few sectors where emissions have continued to grow, oil consumption between 1973 and 2010 increasing by 110% (IEA, 2011) and CO2 by 44 %. (IEA, 2009; Banister et al., 2012). Several actions and measures have been developed to try to mitigate the harmful emissions produced by the transport sector and in particular by road traffic. These largely concern vehicle technology, type of fuel, economic tools and institutional controls. Although powerful, these measures have not been proved to be sufficient to solve the problem (Schwanen et al., 2011). In recent years, research has consequently increasingly focused the attention on measures and policies that affect individuals’ behaviour and in particular what motivates their decisions. Providing information is the measure most used to promote behaviour change (Abrahamse and Matthies, 2012): "A person who has an attitude that suggests that it would be consistent for him or her to use the car less cannot bring about behaviour change if that person does not know how to change" (Ampt, 2003). It has been observed that measures that increase individual’s awareness can produce enduring changes, being the result of mindful decisions. This is at the basis of the concept of "Soft Measures", also referred to as "Voluntary Travel Behaviour Change" (VTBC) programmes (Ampt, 2003) or "Smarter Choices" (Cairns et al., 2004), i.e. programmes aimed at motivating the voluntary reduction of car use. VTBC programmes provide information typically on: a) the negative (mainly environmental) effects of current behaviour and b) how individuals can change their current behaviour to mitigate the negative effects. The types of information provided in thes…
author: SOTTILE, ELEONORA
language: ita
keywords: comportamento di viaggio, discrete choice models, latent variables, misure informative, modelli di scelta discreta, preferenze di chiamate, soft measures, stated preference, stress, travel behaviour, variabili latenti, Settore ICAR/05 - Trasporti
date published: 2015-05-08
date modified: 2026-07-24T01:30:05Z
provider: Università di Cagliari
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Università degli Studi di Cagliari

PropertyValue
property ID: Handle
value: http://hdl.handle.net/11584/266383