Abstract

International audience; Because it deals with sustainably supplying cities and reducing congestion and pollution related to goods transport in urban areas, city logistics is an important field in transportation sciences. These logistics systems need to be sustainable and reliable to ensure the continued flow of goods.Logistics and Transport Modeling in Urban Goods Movement is a pivotal reference source that provides vital research on the main approaches and techniques used in urban goods transport modelling while addressing planning and management issues. Highlighting topics such as urban logistics, vehicle routing, and greenhouse emissions, this book is ideally designed for civil/transport engineers, planners, transport economists, geographers, computer scientists, practitioners, professionals, researchers, and students seeking current research on urban goods modelling.

Abstract

The demand for both passenger and freight rail transport in Sweden has never before been higher than in the year 2008. There is now serious lack of capacity and big delays, and need for massive investment in rail. High-speed trains may be a way to relieve track congestion, reduce travel times and improve the environment through less air and car travel. The Swedish National Rail Administration has initiated a number of studies on the value of high-speed trains over the last years. The Swedish government has initiated a study that was finished 14 thof September 2009 and suggested to build a separate high speed tracks in Sweden. The paper describes the main findings of the study and the models employed. The latter is of importance since two models gave significantly different results, even though both showed a positive socio-economic net return. The cost-benefit calculations have also been subject to scepticism. These scepticisms are also described and commented. QC 20120229

Abstract

This paper explores the factors affecting the uptake of hybrid and electric vehicles in the European Union (EU) using data from two extensive cross-sectional surveys. Each survey consists of 26,500 responses to a questionnaire that combines socio-economic and behavioral aspects. The share of respondents across the EU stating that they would certainly or probably consider purchasing a hybrid or a battery-powered electric vehicle (H&EV) in the near future rose from 32% in 2014 to 37.4% in 2018. There is, however, a high variability among EU member states, as well as across different socio-economic groups. Propensity is highly correlated with income, educational attainment, and urbanization level. In order to address the high degree of collinearity, we applied a machine learning classification model to analyze and explain the interaction between the variables that affected the expressed propensity to purchase such a vehicle. The findings highlight something largely missing from the literature, namely that local conditions and regional variation are a major, if not decisive, factor regarding purchasing choices. Seen from a policy perspective, this conclusion may provide guidance regarding how to support the take up of H&EVs through measures that are tailored to the specific needs at the local level. Document type: Article