Religious culture and rural car ownership

Transportation policy generally restricts the predictors of car ownership to socio-economic variables without consideration of cultural factors. However, culture – the ideas, norms, and objects that a society shares – affects consumption decisions. Excluding this cultural context may limit consideration of potentially successful policy interventions. The research presented here statistically tests the impact of religious culture on rural car ownership in the United States by incorporating religious adherence rates into statistical models of countywide motorization rates. This research explores whether religious affiliation is a statistically significant predictor of car ownership and whether the addition of those religious variables results in a statistically significant improvement in model fit. The findings suggest that religious affiliation, expressed as countywide adherence rates, is a statistically significant predictor of car ownership and that its inclusion improves model fit; however, while statistically significant, that improvement in model fit is quite small. This research concludes that considering culture is a valuable direction for targeting car consumption policies aimed at curbing climate change. This research also demonstrates the need for additional exploration using disaggregated cultural data to better understand the import of this approach to policy development.     

Understanding the process that gives rise to household car ownership level changes

Quantitative studies have revealed that changes to the number of cars owned by households are more likely to occur at the time of life events. However, causal explanations of such relationships are either absent or lacking evidence. To address this knowledge gap, this paper presents a qualitative study which enabled the development of a new conceptual framework to explain the process through which the number of cars owned by households changes over time. The framework emerged through an inductive analysis of 15 in-depth biographical interviews and was validated through a mixed methods survey of 184 households located in Bristol (UK). The following mechanisms of the process are identified: Life events alter roles, relationships, spatial contexts and lifestyle preferences. This can lead to a condition of stress which relates to a discrepancy between satisfaction with the current car ownership level and a more desirable alternative. Attempts to adjust to the new situation are made through processes of travel behaviour adaptation and consideration of whether the car ownership level ought to be altered. A propensity to change car ownership level can emerge from this. However, given the effort involved in taking action, households tend to resist making changes to their car ownership level in the short term. Action to change car ownership level is found to often be prompted by another external stimulus such as the receipt of a maintenance bill. A key message from the analysis is that changes in household car ownership level should be considered as the outcome of a continuous process of development over the life course, rather than as discrete decisions.     

Interdependences between household residential and car ownership behavior: a life history analysis

Once a transportation system is built or a land-use policy is carried out, it influences people’s travel behavior and their lives for a long time period. It is therefore important for policy makers to understand people’s decisions on travel behavior and lives over a longer time period. However, little has been known about the interdependences between life domains, especially over the life course (i.e., biographical interdependences) in the context of residential and car ownership behavior. To fill this gap, this study aims to clarify households’ biographical interdependences relating to residential and car ownership biographies by explicitly incorporating the influence of household structure and employment/education biographies. Biography is defined based on a general concept of mobility that indicates a change occurring in a life domain. For this purpose, a Web-based life history survey was conducted in November 2010 and 1000 households living in major Japanese cities provided valid data. Aggregate analysis and exhaustive CHAID analysis were carried out, focusing on the occurrence times of mobilities in each biography. Results confirm obvious two-way cause–effect relationships over the life course between residential and car ownership biographies that are further influenced by household structure and employment/education biographies. Especially, not only short-term but also long-term state dependence and future expectations within and across life domains are clarified. Household structure and employment/education biographies are found to be more influential on residential biography than car ownership biography. Though residential biography is seen to be more influential on car ownership biography, the other two biographies also play an important role in explaining the car ownership mobility decision. All these findings suggest the necessity of developing intra-domain and inter-domain biographical interdependence models with flexible structures that capture the influences of state dependence and future expectations over different time scales in the life course in a unified framework.     

Temporal dynamics in local vehicle ownership for Great Britain

This article explores the stability of local vehicle ownership rates in Great Britain using the technique of spatial Markov chain analysis. Non-spatial Markov chain processes describe the transition of neighbourhoods through levels of ownership with no regard to their neighbourhood context. In reality however, how a neighbourhood transitions to different levels of ownership could be influenced by its neighbourhood context. A spatial Markov chain accounts for this context by estimating transition properties that are conditioned on the surrounding neighbourhood. These spatial Markov chain properties are estimated using a long run census time series from 1971 to 2011 of household vehicle ownership rates in Great Britain. These processes show that there is different behaviour in how neighbourhoods transition between levels of ownership depending on the context of their surrounding neighbours. The general finding is that the spatial Markov process will lead to a greater homogeneity in levels of ownership in each locality, with neighbourhoods surrounded by relatively low ownership neighbourhoods taking longer than a non-spatial Markov process would suggest to transition to higher levels, whilst neighbourhoods of high ownership surrounded by high ownership neighbourhoods take longer to transition to lower levels. This work corroborates Tobler's first law of geography “Everything is related to everything else, but near things are more related than distant things” but also provides practical guidance. Firstly, in modelling ownership, spatial effects need to be tested and when present, accounted for in the model formulation. Secondly, in a policy context, the surrounding neighbourhood situation is important, with neighbourhoods having a tendency towards homogeneity of ownership levels. This allows for the effective planning of transport provision for local services. Thirdly, vehicle ownership is often used as a proxy for the social and aspirational nature of an area and these results suggest that these properties will persist for a prolonged period, possibly perpetuating and exacerbating differentials in society.     

Determinants of car ownership in rural and urban areas: a pseudo-panel analysis

This paper examines the factors determining car ownership for households living in rural and urban areas. A dynamic car ownership model is estimated using a pseudo-panel approach, based on data from Family Expenditure Surveys in the UK for 1982–1995. The results show that rural households' car ownership is far less sensitive to motoring costs than that of their urban counterparts. The implication of these results is that general increases in the costs of car transport would pose a considerable economic burden for rural households, and that other area-specific transport measures may be more suitable, particularly from an equity point of view.     

The motorcycle to passenger car ownership ratio and economic growth: A cross-country analysis

Cross-country statistics have revealed steady growth in the number of motorcycles in many less advanced economic countries (LAEC) with emerging economies due to increased urbanisation and personal wealth. In contrast, an opposite trend is occurring in advanced economic countries (AEC), with cars replacing motorcycles as income grows. Motor vehicle crashes and injuries are an inevitable consequence of a high motorcycle population. This study focused on understanding how economic growth affects the motorcycle to passenger car (MPC) ownership ratio and what factors underlie this relationship. The data used in this analysis contained a sample of 80 countries at various levels of economic developmental growth over the 48-year period between 1963 and 2010. The results pointed to an inverted U-shaped relationship between the MPC ownership ratio and the per capita Gross Domestic Product (GDP). Generally, the MPC ownership ratio increased with income at a lower level and decreased with income at a higher level. The evidence indicated that urbanisation, the total road length per thousand population, and a proxy for purchasing power with regard to vehicle purchases were the underlying factors that contributed to this relationship.     

Entering the regime of automobility: car ownership and use by novice drivers in Iceland

This article investigates how young individuals access the regime of automobility. Instead of looking at the systemic nature of automobility, the article concentrates on its human component. Access to cars by young people in the greater Reykjavík area, and the shift in modal choice that occurs when they start driving, was investigated with a survey among high school students that yielded 553 answers. The results show that young residents in the capital area are fully aware of the costs of car-based automobility. Their near-universal move to cars when they enter driving age reflects the conditions of this regime. Yet they are also ambivalent about their position within the regime. While most previous studies of novice drivers have centred on road safety issues, this study shows the need to consider the cultural and social aspects of young people driving. This can lead to a deeper understanding of the modal shift that perpetuates car-based automobility, which is an important issue for transport planning.     

The demand for public transport: The effects of fares,quality of service,income and car ownership

This paper reports on key findings from a collaborative study whose objective was to produce an up-to-date guidance manual on the factors affecting the demand for public transport for use by public transport operators and planning authorities, and for academics and other researchers. Whilst a wide range of factors was examined in the study, the paper concentrates on the findings regarding the influence of fares, quality of service and income and car ownership. The results are a distillation and synthesis of identified published and unpublished information on the factors affecting public transport demand. The context is principally that of urban surface transport in Great Britain, but extensive use was made in the study of international sources and examples.     

Determinants of car ownership among young households in the Netherlands: The role of urbanisation and demographic and economic characteristics

In the Netherlands, car ownership among young adults has slowly decreased in recent decades. The main causes of this trend are still unclear. Using a unique dataset in which vehicle registration data were combined with population and income register data for 2012/2013, this paper explores how car ownership among young Dutch households varies with household composition, urbanisation level (of household location), household income, employment status and ethnic background. Logistic regression analysis of this data revealed that urbanisation level and household composition are essential factors influencing car ownership. In addition, we found significant interaction effects between these two factors: the influence of urbanisation level on car ownership was much stronger for young couples than for young families or singles. Our results imply that increasing urbanisation and postponement of parenthood could reduce future car ownership among young adults in general. However, the increasing number of young families moving to more urbanised areas could increase future car ownership in cities.     

Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship

Car ownership is generally considered an important variable in car travel behaviour research, but its specific role is often not well understood. Certain empirical studies consider car ownership as the dependent variable explained by the built environment, whereas other studies deem it to be one of the independent variables explaining car travel behaviour. This paper takes note of the dual influence car ownership has in explaining car travel behaviour by assuming that car ownership mediates the relationship between the built environment and car use. The relationship is estimated using a structural equation model since it accounts for mediating variables. This approach confirms the intermediary nature of car ownership.     

The impact of car ownership and public transport usage on cancer screening coverage: Empirical evidence using a spatial analysis in England

A spatial analysis has been conducted in England, with the aim to examine the impact of car ownership and public transport usage on breast and cervical cancer screening coverage. District-level cancer screening coverage data (in proportions) and UK census data have been collected and linked. Their effects on cancer screening coverage were modelled by using both non-spatial and spatial models to control for spatial correlation.Significant spatial correlation has been observed and thus spatial model is preferred. It is found that increased car ownership is significantly associated with improved breast and cervical cancer screening coverage. Public transport usage is inversely associated with breast cancer screening coverage; but positively associated with cervical cancer screening. An area with higher median age is associated with higher screening coverage. The effects of other socio-economic factors such as deprivation and economic activity have also been explored with expected results. Some regional differences have been observed, possibly due to unobserved factors.Relevant transport and public health policies are thus required for improved coverage. While restricting access to cars may lead to various benefits in public health, it may also result in worse cancer screening uptake. It is thus recommended that careful consideration should be taken before implementing policy interventions.     

Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan,China

With the rapid infrastructure development and economic growth in China, household car ownership in the country's rural areas has changed dramatically in the past 16 years. The total number of cars owned by households in rural areas is currently 12 times higher than it was 16 years ago. The exploration of the effects of the built environment on household car ownership in China's rural areas is worthwhile. However, few studies have investigated this topic. To fill in the research gap, this work collected 374 household data from rural areas in China to examine the effects of the built environment in Sichuan's rural areas on the number of cars in a household. It considered family structure, socioeconomic characteristics, and individual's perceptions of the built environment, preferences towards the built environment and attitudes towards car ownership (shortened to perceptions, preferences and attitudes from now on). Geographic information system (GIS) technology, combined with on-site measurement, was used for data collection. The multinomial logit model was applied for estimation. Household structure and the built environment (including the perceived built environment and the objective built environment) significantly influence the number of cars in a household. By contrast, preference and attitude attributes have less influence on car ownership. Most of the findings are in line with the literature in the context of Chinese cities. Nevertheless, new results are also found. For example, rural hukou, and building density have significant positive impacts on household car ownership in China's rural areas, which is in contrast with their effects on cities. As the first study on rural areas in China, this research provides some insights for rural planners and policymakers to understand better the relationship between built environment and household car ownership.     

Trip end models of local rail demand in England and Wales

This paper details models which have been developed to forecast the total number of trips made from local rail stations in England and Wales over a one year period. The use of multiple linear regression and geographically weighted regression in calibration are compared, with both explaining over 75% of the variation in the observed data. The latter technique has not previously been used in rail demand modelling, and allows significant spatial variations in the effect of independent variables to be identified and mapped. A number of catchment definition methods are investigated, as is the inclusion of a wide range of demographic and service related explanatory variables. The models developed are used to forecast usage at stations on the recently opened Ebbw Vale branch line in South Wales and these predictions are compared to initial usage figures.     

De-marketing the car

Governments in many countries are experimenting with alternative methods for reducing car use, including congestion charges, increased fuel taxation, and improved public transport. This paper raises another possibility. Not only could public transport be marketed as an alternative to the private car, but through targeted propaganda, the automobile could be de-marketed as a status symbol and a convenient accessory of modern life. In contrast with other public information campaigns, de-marketing would focus on people's self-image rather than their sense of public duty.The authors draw on established theory in putting forward alternative themes aimed at particular categories of user and particular categories of journey, and briefly consider the strengths and weaknesses of each approach. Peer group pressure could be an important factor in helping to change attitudes among potential car users at the opinion-forming stage during their life cycle. The agencies best positioned to deliver an effective national campaign are public transport corporations, local authorities, health organisations, and environmental lobby groups; a co-ordinated approach could bring about a modest contribution towards travel reduction at a relatively low cost.     

Vehicle ownership and usage charges

We present a simple model to study the welfare effects of a shift from ownership to usage taxes for cars. We consider a model in which a single representative consumer derives utility from consuming two goods—consumption of motor vehicle kilometers, and an aggregate consumption good treated as numeraire. We characterize the optimal consumption of car kilometers by a representative car user and find that a shift from ownership towards usage taxes is not necessarily welfare-improving: while a revenue-neutral shift makes the representative car user worse off; a utility-neutral shift leads to a significant loss of revenue to the government. An empirical analysis based on Singapore data is also consistent with our theoretical results.     

Estimating the marginal costs of airport operation using multivariate time series models with correlated error terms

This paper explores insights about marginal airport costs that can be gained by analysing labour inputs and their variability. Based on hourly cost and traffic data for the airport of Helsinki, a multivariate time series approach is used incorporating correlated error terms to account for random shocks such as delays. We found for most airport services a linear relationship between labour input and aircraft movements, except for producing passenger services for international departing flights where a cubic cost relationship was estimated. The findings are comparable with earlier studies for US airports.     

Critical aggressive acceleration values and models for fuel consumption when starting and driving a passenger car running on LPG

The models based on vehicle speed have been used to estimate fuel consumption and CO₂ emissions. However, these models could not properly estimate the change in fuel consumption and CO₂ emissions as the speed changes. As for the alternative method, people try to consider using acceleration instead of speed. Although acceleration has been seriously considered, determining critical aggressive acceleration value in relation to fuel consumption and CO₂ emissions is difficult to find. In this study, evaluation models of fuel consumption were developed using instantaneous acceleration, and we defined the critical aggressive acceleration values for different states of the vehicle from the viewpoints of fuel consumption and emissions. We used a mid-sized Liquefied Petroleum Gas (LPG) passenger car and obtained instantaneous data from a digital tachograph installed in the car while it accelerates. We developed two fuel consumption models and found critical aggressive accelerations, respectively: a model of starting vehicle that measures range of speed required to overcome the inertia during acceleration from stop state, and the other model for the driving state. We used Classification and Regression Tree (CART) analysis to find the critical aggressive accelerations at which the increments of fuel consumption change abruptly. As a result, the critical aggressive accelerations causing abrupt change in the increments of fuel consumption were found to be 2.598 m/s² for the starting of vehicles and 1.4705 m/s² when driving them. We also found that the increments of fuel consumption can be explained through quadratic and exponential functions with instantaneous acceleration.     

The evolution of airport ownership and governance

This presentation examines the evolution of airport governance from public utility to modern business. I also briefly look at airport regulation and in this context ask the questions, do airports need to be regulated and if so, why? I consider the new thinking on two-sided platforms and examine whether this may be the new way of thinking about governance. In judging governance structures and regulation, I argue that dynamic efficiency has been underemphasized in the debate over privatization and that airline deregulation has been most important in shifting the balance of power between airlines and airports.     

US airport ownership,efficiency, and heterogeneity

All US commercial airports are in the public sector yet not all have the same ownership type. For medium and large hub US airports we use stochastic frontier analysis to analyze the efficiency differences for alternative airport ownership types. We find that while form of ownership may matter for cost efficiency, in general its effect is relatively small. Yet type of public sector ownership does have cost efficiency implications in certain environments. Further, when heterogeneity is not controlled, the results change substantially so that type of ownership matters much more which demonstrates the importance of controlling for cross section heterogeneity.     

The influence of gender on daily car use and on willingness to reduce car use in Sweden

This paper tests the influence of gender on daily car use and on willingness to reduce car use. Car use is modeled in terms of practical factors combined with manifestations of the specific influence of gender. Willingness to reduce car use is modeled in terms of attitudinal factors using a theory of environmentalism. The results confirm the existence of a gender component. The concluding discussion suggests that more research is needed to further our theoretical understanding and methodological expertise regarding how gender can be modeled in travel research in order to attain current policy regarding a gender equal transportation system.