Understanding and predicting private motorised urban mobility

Green travellers? Exploring the spatial context of sustainable mobility styles

“…These new mobility patterns cause specific problems that must be addressed by planners and decision-makers: traffic congestion (Camagni et al, 2002;Cameron et al, 2003), acoustic and atmospheric pollution Barr and Prillwitz, 2012), reduced security during trips (Hadayeghi et al, 2003), parking problems (Dijk and Montalvo, 2011) and increasing health problems and need for access to social services (Bocarejo and Oviedo, 2012), which coexist with the need to offer different transport modes to users who do not have private vehicles (Boschmann and Brady, 2013). To mitigate these problems and achieve more sustainable mobility, the European Union (EU), since the late 20th century, has been urging all public agents to implement actions to effect changes in urban mobility for the benefit of the residential population (CEC, 1996(CEC, , 2006(CEC, and 2011Kenworthy and Laube, 1999;EC, 2007;CEC, 2007;Directive 34CE, 2007;Mora et al, 2010).…”

“…These models involve simulation of the global dynamics of urban traffic through mathematical functions to obtain the volume of trips that traverse a particular area. These functions are related to the service level of each network segment, the generalized costs associated with daily trips in one or more modes of transport, and the potential demand to carry out these movements, which in turn refers to the behavior patterns with regard to the choice of route re-lated to the demand (Cameron et al, 2003;Ortúzar and Roman, 2003). The benefit of this type of model is that, based on these simulations, mobility managers can accurately predict the mobility guidelines that are followed by the users of an urban system, meaning that they can anticipate potential problems arising from a change in supply point (Fernández et al, 2003;Ben-Akiva et al, 2012).…”

On the distribution of urban road space for multimodal congested networks

“…That analysis was based on a disaggregate micro-simulation which relies on intensive travel data inputs that are typically unreliable or unavailable. Researches by Pushkarev and Zupan (1977), Pickrell (1985), Kenworthy and Laube (2001) and Cameron et al (2005), focused on the connection between performance of transport systems and land use for transportation as a whole, without further consideration on allocation by usage.…”

Trends in vehicle kilometres of travel in world cities, 1960–1990: underlying drivers and policy responses

“…In order to do this, complex tasks such as understanding private motorised mobility, need to be reduced to some clear macro-level observations. This led Cameron et al (2003) to develop a model for private motorised mobility based on the application of dimensional analysis to a selection of key drivers of mobility in cities. Such an approach is based on the premise that a dimensionally homogeneous relationship exists between the controlling parameters of private motorised mobility and argues that dimensional homogeneity is a necessary but not sufficient condition for the validity of any equation so derived (Moon and Spencer, 1949).…”