The role of urban consolidation centres in sustainable freight transport

The chapter considers the role that urban consolidation centres (UCCs) can play in helping to reduce goods vehicle traffic and its environmental impacts in urban areas. A UCC is a logistics facility that is situated in relatively close proximity to the area that it serves. Goods destined for this area are dropped off at the UCC, and are sorted and consolidated onto goods vehicles for delivery to their final destinations, often using environmentally friendly vehicles such as electric and gas-powered goods vehicles, and electrically-assisted cycles. The development of UCCs since their first appearance in the 1970s is reviewed and the various types of UCC categorised. The freight transport and logistics advantages offered by UCCs are discussed. Case studies of four recent UCC trials are included. The objectives, operational and financial aspects and impacts of these UCCs are compared and their critical success factors identified.

From dispersed to monopolized violence: expansion and consolidation of the Primeiro Comando da Capital's hegemony in São Paulo's prisons

The present work aims to understand the process of expansion and consolidation of the organized criminal group the Primeiro Comando da Capital (PCC) in São Paulo’s prison system over the past 20 years, and the social configuration that has formed as a result of the PCCs monopolization of opportunities of power. To this end, the work of Norbert Elias is utilized to analyze empirical data collected from various sources. The article consists of two lines of analysis. First, the PCC phenomenon is approached from a macro-sociological point of view, focusing on the social, political and administrative problems that are directly or indirectly linked to the PCCs social development. Second, a figurational analysis is used to explore the social dynamics produced from this process. In comparison to the “pre-PCC” situation, it is shown that the new social configuration produced from the hegemony of the PCC consists of a complexity of interdependencies, including greater functional division and social integration. Given this intensification of mutual dependencies, the social controls on individual behavior have been expanded and centralized. Here, the structure and organization of the PCC, its political dynamics, and individual self-control are central issues. The article concludes by calling into question the view that the most significant effect of the PCCs consolidation has been social pacification of São Paulo’s prison system. Fragilities in the power of the PCC are explored, principally the precarious nature of the relationship between the PCC and state authorities, and the extent to which the PCC’s authority is imposed.

A review of urban consolidation centres in the supply chain based on a case study approach

The paper considers how urban consolidation centres (UCCs) can be used in the supply chain to reduce goods vehicle traffic and its associated environmental impacts, while also helping to make supply chains more responsive and efficient and thereby generate commercial benefits. The role of UCCs is presented and the various types discussed. The potential supply chain impacts of UCCs are considered. Case studies of six UCC schemes and trials are included, with their objectives, operational characteristics and impacts compared. The critical success factors associated with UCCs are identified.

Macroeconomic information, structural change, and the prediction of fiscal aggregates

Previous research on the prediction of fiscal aggregates has shown evidence that simple autoregressive models often provide better forecasts of fiscal variables than multivariate specifications. We argue that the multivariate models considered by previous studies are small-scale, probably burdened by overparameterization, and not robust to structural changes. Bayesian Vector Autoregressions (BVARs), on the other hand, allow the information contained in a large data set to be summarized efficiently, and can also allow for time variation in both the coefficients and the volatilities. In this paper we explore the performance of BVARs with constant and drifting coefficients for forecasting key fiscal variables such as government revenues, expenditures, and interest payments on the outstanding debt. We focus on both point and density forecasting, as assessments of a country’s fiscal stability and overall credit risk should typically be based on the specification of a whole probability distribution for the future state of the economy. Using data from the US and the largest European countries, we show that both the adoption of a large system and the introduction of time variation help in forecasting, with the former playing a relatively more important role in point forecasting, and the latter being more important for density forecasting.