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Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Purpose – This chapter explores the functions of institutional setting, technical requirements and local city characteristics as they affect the implementation of sustainable urban travel policies in China under the pressure of fast motorization and the constraints of energy and resource limitations.

Methodology – We reviewed the documents related to sustainable urban transport vision in China from central government and compared the motorization and urban transport policy at local city level in relation to social equity, urban transport finance, as well as the challenge of an ageing society.

Findings – The concept of sustainable development had been widely talked about in China but has not yet been effectively translated into actions in urban transport. There is a need to strengthen the synchronization of central government and local government strategies on sustainable transport in order to achieve less car-dependent cities.

Research limitations/implications – We need more research to understand the specific characteristics of the Chinese urban transport system and the constraints on the implementation of sustainable transport policy at a local level.

Practical and social implications – The achievement of a higher share of walking and cycling will greatly improve sustainable urban mobility, in terms of social equity, quality of urban life and also fossil energy consumption.

Originality – Current policy documents and implementation practice were analysed to provide the reader with a deep understanding of urban transport policy in China.

The construction sector has significantly evolved in recent decades, in parallel with a huge increase in the amount of data generated and exchanged in any construction project. These data need to be managed in order to complete a successful project in terms of quality, cost and schedule in the the context of a safe project environment while appropriately organising many construction documents.

However, the origin of these data is very diverse, mainly due to the sector’s characteristics. Moreover, these data are affected by uncertainty, complexity and diversity due to the imprecise nature of the many factors involved in construction projects. As a result, construction project data are associated with large, irregular and scattered datasets.

The objective of this chapter is to introduce an approach based on a fuzzy multi-dimensional model and on line analytical processing (OLAP) operations in order to manage construction data and support the decision-making process based on previous experiences. On one hand, the proposal allows for the integration of data in a common repository which is accessible to users along the whole project’s life cycle. On the other hand, it allows for the establishment of more flexible structures for representing the data of the main tasks in the construction project management domain. The incorporation of this fuzzy framework allows for the management of imprecision in construction data and provides easy and intuitive access to users so that they can make more reliable decisions.