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Purpose – The aim of the chapter is to explore the link between logistics and territory, particularly at local scale with ‘freight villages’. This topic is a matter for transport economics and management as well as for urban and regional planning.

Methodology – The methodology of this research relies on the exploitation of existing limited literature and on a practical field experience, using contact with professionals as well as with local authorities, comparing logistics regional planning in China and France. The process of conception, building and operation of logistics premises and areas is analysed, identifying the private and public actors who take part to it, and the rationales guiding their actions.

Results and perspectives – The necessity to insert logistics into its spatial environment obeys evolving concerns: in an initial phase, the aim is mere quantitative growth of production, trade and freight; today, logistics facilities must contribute to the search for sustainable development. The exchange of experience and of best practices, linked with academic observation, feeds the continuation of research on this seldom-addressed topic.

The integration of business processes across multiple companies can provide economic benefits, thus ensuring the sustainability of the involved companies. However these advantages are accompanied by many potential risks. For instance, emerging disruptions within a supply chain can spread over several partners resulting in economic losses. The purpose of this paper is to focus on the development of a collaborative cross-supply chain framework that reduces the extent of loss after the occurrence of unforeseen damaging events in sensitive logistics nodes.

To handle the impacts of unforeseen damaging events in sensitive logistics nodes, the focus of our approach lies on the implementation of a collaboratively applicable concept for sensitive logistics nodes that supports a rapid collaborative decision-making among the partners. Therefore, different damaging events as well as the logistics and transport processes in freight villages are determined and implemented in an agent-based simulation model.

Multi-agent simulation can be used for a scenario-based collaborative risk management in sensitive logistics nodes. By executing simulation experiments the impacts of selected damaging events can be analysed and used for the development of scenario specific strategies for the partners in sensitive logistics nodes with the objective to maintain the flow of goods after disturbances.

The paper proposes a multi-agent simulation, which can be used collaboratively in a cross-supply chain team to support decision-making processes in sensitive logistics nodes after a disruption has occurred. To get an effective and efficient tool, involved companies are included into the development and implementation processes.

The value of this paper lies in the approach of a multi-agent based simulation system that supports a collaborative risk management across different companies and different supply chains in sensitive logistics nodes.

Considering the contribution of freight villages (FVs) to the economy and sector, transportation cost advantage, environmental externalities, labor costs, employment, etc. criteria evaluation is important in selecting FV location. Environmental sustainability and social dimensions are becoming important criteria for companies in logistics. The purpose of the study is to determine/model the criteria interaction and also determine the criteria priorities in the FV location selection process. Meanwhile, the study aims to evaluate these criteria and present information to researchers and decision makers.

Six main criteria and 29 sub-criteria are selected from related literature. Decision making trial and evaluation laboratory (DEMATEL) method is used for determining/modeling the criteria interaction and sketching interaction diagram, and the Analytical Hierarchy Process (AHP) method is used for determining the criteria priorities. One/two-way pairwise compared main/sub-criteria views are obtained from 48 experts for calculations.

“Trade potential”, “transportation networks” and “economic factors” have the highest priorities, respectively, out of six main criteria, and they have the most powerful interactions that put these criteria to the center of decision process. Sub-criteria of “foreign trade potential”, “proximity to the port”, “market opportunities” and “proximity to the railway” out of 29 have a total 36.42% priority, more than one-third of the importance.

Criteria are evaluated in FV location selection for FV sustainability using criteria interaction diagrams, affecting/being affected by the level of each criterion and their priorities. This study shows a hybrid derivation from DEMATEL-AHP usage methods together. High-volumed and qualified/experienced expert group judgments in Turkey are evaluated.

Purpose – This chapter reviews the provision for freight transport in Shanghai, and makes recommendations for the development of road freight including the aspects of optimizing the port transportation system, strengthening the planning and construction of freight terminals, promoting the formation of a city distribution system, adjusting downtown traffic policies, and promoting the provision of road freight information systems.

Methodology – Based on primary data and observation, this chapter describes the status of road freight in Shanghai and details existing problems. Based on experience elsewhere it then proposes changes in policy.

Findings – This chapter proposes some recommendations as follows: optimizing the collection and distribution system of the Shanghai port, planning, and construction of road freight terminals, adjusting the freight traffic policy in the central area and improving the performance of freight firms.

Implications – These recommendations, based on good practice elsewhere, should both enhance the efficiency of road freight in Shanghai and reduce its environmental impacts.

Value of chapter – The study will help the sound and orderly development of Shanghai's road freight transportation, better satisfy the needs of the people, and promote the development of Shanghai economy.

This book brings together a number of the papers presented at a workshop hosted by Tongji University, Shanghai, on the implications of green urban transport in China under the auspices of the World Conference on Transport Research Society in September 2010. It is in five sections. Section 1 includes this introductory chapter, which summarises the content of the rest of the book, Chapter 2 is on trends in city size, and Chapter 3 provides an overview of Chinese transport policy. Section 2 considers approaches to policy formulation, drawing on experience in Europe and Asia. Section 3 focuses on passenger transport and traffic, while Section 4 covers freight and logistics. Section 5 draws together the principal conclusions of the 15 papers.

As the global freight transport network has experienced high vulnerability and threats from both natural and man-made disasters, as a result, a huge amount of data is generated in freight transport system in form of continuous streams; it is becoming increasingly important to develop sustainable and resilient transport system to recover from any unforeseen circumstances quickly and efficiently. The aim of this paper is to develop a stream processing data driven decision-making model for higher environmental performance and resilience in sustainable logistics infrastructure by using fifteen dimensions with three interrelated domains.

A causal and hierarchical stream processing data driven decision-making model to evaluate the impact of different attributes and their interrelationships and to measure the level of environmental performance and resilience capacity of sustainable logistics infrastructure are proposed. This work uses fuzzy cognitive maps (FCMs) and fuzzy analytic hierarchy process (FAHP) techniques. A real-life case under a disruptive event scenario is further conducted.

The result shows which attributes have a greater impact on the level of environmental performance and resilience capacity in sustainable logistics infrastructure.

In this paper, causal and hierarchical stream processing data decision and control system model was proposed by identified three domains and fifteen dimensions to assess the level of environmental performance and resilience in sustainable logistics infrastructure. The proposed model gives researchers and practitioners insights about sustainability trade-offs for a resilient and sustainable global transport supply chain system by enabling to model interdependencies among the decision attributes under a fuzzy environment and streaming data.

By 2050 there will be 6.9 billion people living in urban areas, accounting for 70% of the global population. The most developed nations will have urbanisation rates as high as 90%. Not only will more people be living in cities, but the largest cities will be getting larger. In their analysis in Chapter 2, Kii and Doi estimate that there may be as many as 17 megacities, with more than 10 million inhabitants, in China by 2050. Even so, the bulk of urban population growth is likely to be in smaller cities.