Peak car and increasing rebound: a closer look at car travel trends in Great Britain

This paper uses econometric analysis of aggregate time-series data to explore how different factors have influenced the demand for car travel in Great Britain since 1970 and how the rebound effect has changed over that time. Our results suggest that changes in income, the fuel cost of driving and the level of urbanisation largely explain travel trends over this period – with recent reductions in car travel (peak car) being driven by a combination of the rising fuel cost of driving, increased urbanisation and the economic difficulties created by the 2008 financial crisis. We find some evidence that the proportion of licensed drivers has influenced aggregate travel trends, but no evidence that growing income inequality and the diffusion of ICT technology have played a role. Our results also suggest that the rebound effect from improved fuel efficiency has averaged 26% over this period and that the magnitude of this effect has increased over time. However, methodological and data limitations constrain the level of confidence that we can have in these results

Older people’s travel and mobility needs: a reflection of a hierarchical model 10 years on

In 2010 we published a model of older people’s travel and mobility needs in the Quality of Ageing and Older Adults journal (Musselwhite and Haddad, 2010). The model comprises three levels, practical (the need to get from A to B as quickly, cheaply and efficiently as possible), psychosocial (the need for independence, control and status) and aesthetic needs (the need for travel for its own sake), all which need to be fulfilled to achieve wellbeing and quality of life. Since then, the model has been translated into different languages and been cited 119 times across different formats.Design/methodology/approach: Using 10 years of analysing feedback that includes articles that cited the model, discussions with academics, policymakers and practitioners as well as from older people themselves, this paper reflects on the original model.Findings: Five key themes are generated from the re-examination: (1) the validity of the model; (2) the utility and usefulness of needs in understanding travel behaviour and turning them into policy or practice; (3) application of the model to different contexts; (4) understanding the relationship between travel needs and health and wellbeing; and (5) fitting the model to future changes in transport and social policy.Research limitations/implications:Practical implications:Originality/value: This reflection on this well cited and well used model allows a re-adjustment of the model, updating it to be used in conjunction with policy and practice, especially highlighting the need to further distinguish mobility for aesthetic needs

Sustainable travel behaviour and the widespread impacts on the local economy

Statistics show that unsustainable travel behaviour and global greenhouse gas emissions are growing and due to the perceived indispensable nature of personal travel, shifts to more sustainable modes remain a challenge. Automobility supports sustained local economic growth but also raises issues around safety, health, road fatalities, traffic and congestion, and detrimental environmental impacts. This article addresses the issue of sustainable mobility by investigating how to increase sustainable travel choices and, where this is not possible, ensure existing travel choices and patterns are as environmentally friendly as possible. Existing soft initiatives aimed at increasing sustainable travel behaviour fail to fully acknowledge that travel decisions are made at the individual level and that tailored strategies would be more effective at targeting distinct behavioural patterns. Influencing changes in travel behaviour at the local level demonstrates significant potential where individual behaviour can be influenced if appropriate support at the system level is in place and complies with the needs of individuals. This article demonstrates that, in doing so, this will simultaneously address other areas, such as accessibility, employability, health and sustainable growth, crucial to the establishment and survival of automobility by both supporting local economic growth and achieving reductions in carbon emissions

Policy making under uncertainty in electric vehicle demand

The introduction of electric vehicles (EVs) into the passenger vehicle market has, in recent years, become viewed as a primary solution to the significant carbon dioxide emissions attributed to personal mobility. Moreover, EVs offer a means by which energy diversification and efficiency can be improved compared to the current system. The UK government and European Commission have played an active role in steering the development and market introduction of EVs. However, a great deal of uncertainty remains regarding the effectiveness of these policies and the viability of EV technology in the mainstream automotive market. This paper investigates the prevalence of uncertainty concerning the demand for EVs. This is achieved through the application of a conceptual framework that assesses the locations of uncertainty. UK and EU documents are assessed through a review of the published policy alongside contributions from academia to determine how uncertainty has been reduced. This assessment offers insights to decision makers in this area by evaluating the work done to date through a landscape analysis. Results have identified six different locations of uncertainty covering: consumer, policy, infrastructure, technical, economic and social issues

Commuting and wellbeing: A critical overview of the literature with implications for policy and future research

© 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This review provides a critical overview of what has been learnt about commuting’s impact on subjective wellbeing (SWB). It is structured around a conceptual model which assumes commuting can affect SWB over three time horizons: (i) during the journey; (ii) immediately after the journey; and (iii) over the longer term. Our assessment of the evidence shows that mood is lower during the commute than other daily activities and stress can be induced by congestion, crowding and unpredictability. People who walk or cycle to work are generally more satisfied with their commute than those who travel by car and especially those who use public transport. Satisfaction decreases with duration of commute, regardless of mode used, and increases when travelling with company. After the journey, evidence shows that the commute experience “spills over” into how people feel and perform at work and home. However, a consistent link between commuting and life satisfaction overall has not been established. The evidence suggests that commuters are generally successful in trading off the drawbacks of longer and more arduous commute journeys against the benefits they bring in relation to overall life satisfaction, but further research is required to understand the decision making involved. The evidence review points to six areas that warrant policy action and research: (i) enhancing the commute experience; (ii) increasing commute satisfaction; (iii) reducing the impacts of long duration commutes; (iv) meeting commuter preferences; (v) recognising flexibility and constraints in commuting routines and (vi) accounting for SWB impacts of commuting in policy making and appraisal

A Framework for Characterizing an Economy by its Energy and Socio-Economic Activities

Investigating the energy use of an economy in a resource-constrained world requires an understanding of the relationships of its economic, social, and energy-use elements. We introduce a novel whole-economy analytical framework which harmonises multiple national accounting procedures. The economic elements align with the international system of national accounts. In a modular fashion, our framework curates and maintains disparate accounts (economic stocks and flows, energy use, employment, transport) in parallel, but retains each of their unique measurement unit and accounting requirements. We present the UK as a case study to demonstrate how the data organisation and conditioning procedures are generic and will allow model development for other countries. The framework is capable of exploiting time-series ratios between different measurement units to give key functional relationships that vary gradually over time, are robust and thus useful for analysing national policy complexities such as decarbonisation, employment, investment and balance of payments. We use novel Sankey diagrams to visualise snapshots of the whole system. The framework is neither an exclusively economic, physical, nor social model. It upholds the integrity of each world-view through retaining their unique time-series datasets. As this framework is agnostic to the way in which a nation organises its economy, it has the potential to reduce tension between competing models and philosophies of economic development, environmental refurbishment, and climate change mitigation

Energy for cities: Supply, demand and infrastructure investment

© 2017, Springer International Publishing AG. Energy is essential to all activities in all regions of a country. However the density of energy use in, and our economic dependence on, cities means that it is more critical for urban areas. Nevertheless we suggest that the provision of energy for urban areas cannot be considered separately from the national context. We will demonstrate how to assess the ability of a nation to invest in energy infrastructure for the benefit of cities. Our approach exploits data sets which are available in most industrialised countries, and we select two quite different case studies to illustrate our method: the Colombia (Bogota) and UK (London). Our focus for energy sustainability in cities is quality of life and reduced fossil-fuel emissions. We will show that the main target for cities should be to improve air quality and reduce energy demand by improving energy efficiency

Assessment of computer-based training packages to improve the safety of older people’s driver behaviour

Examination of police records in Wales (STATS19 database) suggests older drivers are over represented in collisions turning across traffic and those involving failure to look properly, failure to judge the other vehicle or person’s path and performing a poor manoeuvre. A convened expert group suggests this is due to changes in attention, cognitive overload, processing speed, perceptual speed, working memory, task switching and eyesight associated with ageing. Training using computer-based packages can improve these cognitive and physiological issues associated with age. Performance on Useful Field of View (UFoV), Delayed Recall, Maze test and Dual N task computer tasks have all been shown to be related to number of crashes older drivers have. Of these only UFOV and Dual N task training improvements have been demonstrated to translate into improved driver behaviour, but overall more research is needed