Understanding urban freight activity: key issues for freight planning

Using information gathered from some 30 UK surveys undertaken over the last 15 years, this paper provides planners with an understanding of road-based urban retail freight transport activity. The findings suggest that the average High Street business could expect up to 10 core goods and 7.6 service visits per week, in non-peak trading periods with 25% additional activity during the build up to Christmas. Vans (‘light goods vehicles’) were the dominant mode, responsible for 42% of delivery activity with a mean dwell time of 10 min. Where possible, load consolidation should be encouraged by methods such as Delivery and Servicing Plans and using out-of-town freight consolidation centres to bring in goods over the last mile in shared vehicles. Where this is not possible, loading bay monitoring and control, and preferred lorry routes can help manage the movement of vehicles in and out of dense urban areas. Service vehicle activity is a significant contributor to urban freight movements and often requires vehicles to be parked close to the premises being served. Centrally coordinating elements of service provision (e.g. for cleaning, equipment maintenance, recyclate collection), or providing improved, more flexible parking provision for service vehicles could be as or more beneficial in reducing overall freight impacts than focusing on core goods deliveries. In the case of the latter, ‘pay-as-you-leave’ car park charging systems could encourage short-stay service vehicles to park off-street.

Forecasting overseas visitors into the United Kingdom using continuous time and autoregressive fractional integrated moving average models with discrete data

This paper applies Gaussian estimation methods to continuous time models for modelling overseas visitors into the UK. The use of continuous time modelling is widely used in economics and finance but not in tourism forecasting. Using monthly data for 1986–2010, various continuous time models are estimated and compared to autoregressive integrated moving average (ARIMA) and autoregressive fractionally integrated moving average (ARFIMA) models. Dynamic forecasts are obtained over different periods. The empirical results show that the ARIMA model performs very well, but that the constant elasticity of variance (CEV) continuous time model has the lowest root mean squared error (RMSE) over a short period.

Sex, Time and Place: Queer Histories of London, c.1850 to the Present

Sex, Time and Place extensively widens the scope of what we might mean by 'queer London studies'. Incorporating multidisciplinary perspectives – including social history, cultural geography, visual culture, literary representation, ethnography and social studies – this collection asks new questions, widens debates and opens new subject terrain. Featuring essays from an international range of established scholars and emergent voices, the collection is a timely contribution to this growing field. Its essays cover topics such as activist and radical communities and groups, AIDS and the city, art and literature, digital archives and technology, drag and performativity, lesbian London, notions of bohemianism and deviancy, sex reform and research and queer Black history. Going further than the existing literature on Queer London which focuses principally on the experiences of white gay men in a limited time frame, Sex, Time and Place reflects the current state of this growing and important field of study. It will be of great value to scholars, students and general readers who have an interest in queer history, London studies, cultural geography, visual cultures and literary criticism.