C.I. HUNG and Y.Y. PERNG
The hydrodynamic development of non‐Newtonian fluid flow in the entrance region of a duct with porous walls is examined numerically by solving the modified Navier‐Stokes…
Abstract
The hydrodynamic development of non‐Newtonian fluid flow in the entrance region of a duct with porous walls is examined numerically by solving the modified Navier‐Stokes equations. Cases involving blowing, suction, and no mass transfer through the walls are considered. Velocity distributions, pressure drops, and skin friction coefficients are presents for each case. A definite concavity is found in the velocity profile near the duct entrance for all cases. Results for Newtonian fluids are compared with previous studies in which boundary‐layer theory was used. In the region away from the entrance it is found that the present results are in good agreement with previous works. In the region close to the entrance, or in the case of suction, boundary‐layer theory is shown to be inappropriate.
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Hao-Cheng Huang and Yeng-Horng Perng
Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often…
Abstract
Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often made to look grandiose and overdecorated. Over time, according to commercial attributes, operator preferences, and style of the designer, commercial spaces have constantly undergone renovation into varied styles. However, the physical renovation processhas caused multiple and composite types of environmental pollution, such as waste and noise pollution caused by breaking of walls or partitions, anddecorative paint pollution, as well as the use of high-energy-consuming lighting equipment, air-conditioning systems, and decorative materials. Global pollution has caused climate change, endangering living organismsand human life. Furthermore, no effective method exists to control the problem of high greenhouse gas emissions. Therefore, this study used energy-saving design concerns of a garden-type commercial space to propose an energy-saving evaluation model. The study combined three methodologies, the Delphi method, analytic hierarchy process, and fuzzy logic theory, to construct a multi-criteria decision support system for designing green commercial spaces, and used the green spatial design of a garden café as an example to illustrate the high objectivity and adaptability of the proposed model in practical application. The study also used an international award-winning case to validate that the proposed model had practical value as a reference to support key design decisions.
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Smart city developments have been subjected to technocratic envisioning and neoliberal urban developments. However, there have been attempts to reclaim the right to the city…
Abstract
Smart city developments have been subjected to technocratic envisioning and neoliberal urban developments. However, there have been attempts to reclaim the right to the city through organizing civic initiatives to widen the access to the making of future technologies and cities. This chapter draws on Mouffe’s concept of agonistic relations to explore the diversifying ideals, rhetoric, and practices of hackathon organization to consider how they might cooperate with or contest one another and provide alternative means to technology and city making. The chapter analyzes different ways of organizing hackathons and discusses the opportunities for participants with diverse social backgrounds, knowledges and technical competences to join and work together. By examining the conflictual positions, articulations, and arrangements to widen participation, the chapter suggests that more open, inclusive, and collaborative city-making events might be possible. Further work is needed to examine conflictual hackathon participation practices and other civic initiatives to pursue a more egalitarian smart city.
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The current datafication of cities raises questions about what Lefebvre and many after him have called “the right to the city.” In this contribution, I investigate how the use of…
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The current datafication of cities raises questions about what Lefebvre and many after him have called “the right to the city.” In this contribution, I investigate how the use of data for civic purposes may strengthen the “right to the datafied city,” that is, the degree to which different people engage and participate in shaping urban life and culture, and experience a sense of ownership. The notion of the commons acts as the prism to see how data may serve to foster this participatory “smart citizenship” around collective issues. This contribution critically engages with recent attempts to theorize the city as a commons. Instead of seeing the city as a whole as a commons, it proposes a more fine-grained perspective of the “commons-as-interface.” The “commons-as-interface,” it is argued, productively connects urban data to the human-level political agency implied by “the right to the city” through processes of translation and collectivization. The term is applied to three short case studies, to analyze how these processes engender a “right to the datafied city.” The contribution ends by considering the connections between two seemingly opposed discourses about the role of data in the smart city – the cybernetic view versus a humanist view. It is suggested that the commons-as-interface allows for more detailed investigations of mediation processes between data, human actors, and urban issues.
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Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and…
Abstract
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.
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Eddie Chi Man Hui, Otto Muk Fai Lau and Tony Kak Keung Lo
The purpose of this paper is to explore the application of fuzzy logic in real estate investment in Hong Kong. There have been sufficient debates on the literature, providing the…
Abstract
Purpose
The purpose of this paper is to explore the application of fuzzy logic in real estate investment in Hong Kong. There have been sufficient debates on the literature, providing the theoretical background on real estate investment decisions but there has been a lack of empirical support in this regard. This paper attempts to fill the gap between theorem and application.
Design/methodology/approach
The fuzzy logic system is adopted to evaluate the situation of a real estate market with imprecise and vague information. An indicator‐portfolio, rather than a specific indicator/index usually employed by practitioners, is explored to assist investors in risk management. The result derived from this framework is then compared to the property price index. This approach provides a framework in understanding the market without statistical and mathematical models. It tries to stimulate the complex human cognitive process involving decision making.
Findings
The housing‐indicator portfolio composition produces an outcome value which is able to reflect the complexities of both the real estate market and investors' expectations. An increase of this value implies that the investment condition is becoming more positive.
Research limitations/implications
The paper reveals that fuzzy logic can provide some insights in an intuitive manner and is capable of obtaining information not found in market data. It is particularly useful to investors without experience in mathematical modeling.
Practical implications
This paper establishes a basic framework of fuzzy logic for real estate investment on which a base is formed as a reference for practitioners and investors. However, they should make references to the specific housing‐indicator portfolio composition in their own regions.
Originality/value
This paper has used a fuzzy logic system to assist practitioners as well as investors on decision making in real estate investment with imperfect market information. With the aid of the system, practitioners and investors are able to enhance their investment decision‐making quality by reducing the risk incurred by such uncertainties.
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Fengjie Li, Yan Chen and Xiaochun Hu
This paper propose an algorithm for the multiple silicon steel coils multiperiod two-dimensional lengthwise cutting stock problem (m2DLCSP), so as to minimize the total cost of…
Abstract
Purpose
This paper propose an algorithm for the multiple silicon steel coils multiperiod two-dimensional lengthwise cutting stock problem (m2DLCSP), so as to minimize the total cost of materials and production.
Design/methodology/approach
The authors propose a sequential leftovers utilization correction (SLUC) algorithm for the m2DLCSP. The algorithm primarily considers three optimization strategies. First, it considers usable leftovers to simplify the cutting process and improve material utilization. The total quantity and types of leftovers should be limited in order to avoid leftover overstock. Second, it uses a splice method of items to improve the generated cutting plan. Third, it takes into account operational restrictions in the cutting operations. Operational restrictions include imposing maximum and minimum lengths on the cutting patterns, and the limitation of cutting knives at the slitting machines.
Findings
Several sets of benchmark with real-world and randomly generated instances are provided to evaluate the algorithm. Compared with literature algorithm and current procedure applied in enterprises, the computational results indicate that proposed algorithm can effectively reduce the total cost, and the computation time is reasonable for practical use.
Social implications
This algorithm can effectively reduce the total cost.
Originality/value
The proposed method can effectively applied to solve the m2DLCSP and improve the economic efficiency of enterprises.
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Production-related industrial zones, super structures and infrastructures are constructed by the construction industry. Nearly all industries and their environmental emissions are…
Abstract
Production-related industrial zones, super structures and infrastructures are constructed by the construction industry. Nearly all industries and their environmental emissions are influenced by the construction industry including its sub-industries, companies and their supply chains. Furthermore, cities play an important role in economic growth. Cities are hubs for productivity, production, supply and demand, and innovation with the help of their human capital and built environment (e.g. offices, factories, industrial zones, infrastructures, etc.).
Industrial growth fosters urbanisation which is vital for the supply side in the economy to reach to the human resources. Urbanisation which supports industrial growth obstacles industries’ efficiency due to urbanisation problems (e.g. traffic, air and water pollution, health problems).
Construction industry and its sub-industries affect total factor productivity growth in nearly all industries. Construction industry can be a facilitator industry for economic growth and industrial growth considering total factor productivity growth and environment aspects. All industries’ green and sustainable total factor productivity growth can be supported by rethinking construction industry, its sub-industries and their outputs (e.g. construction materials, built environment, cities) as well as construction project management processes.
This chapter aims to introduce carbon capturing smart construction industry model to foster green and sustainable total factor productivity growth of industries. This chapter emphasises current and potential roles of construction industry, its sub-industries and their outputs in fostering other industries’ growth through green and sustainable total factor productivity growth. It focusses on carbon capturing technologies and design at different levels. Furthermore, this chapter emphasises cities’ role in green and sustainable total factor productivity growth. This chapter provides recommendations for construction industry policies and carbon capturing cities/built environment model to solve urbanisation problems and to foster industrial growth and green and sustainable total factor productivity growth. This chapter is expected to be useful to all stakeholders of the construction industry, policy makers, and researchers in the relevant field.
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Rob Kitchin, Paolo Cardullo and Cesare Di Feliciantonio
This chapter provides an introduction to the smart city and engages with its idea and ideals from a critical social science perspective. After setting out in brief the emergence…
Abstract
This chapter provides an introduction to the smart city and engages with its idea and ideals from a critical social science perspective. After setting out in brief the emergence of smart cities and current key debates, we note a number of practical, political, and normative questions relating to citizenship, social justice, and the public good that warrant examination. The remainder of the chapter provides an initial framing for engaging with these questions. The first section details the dominant neoliberal conception and enactment of smart cities and how this works to promote the interests of capital and state power and reshape governmentality. We then detail some of the more troubling ethical issues associated with smart city technologies and initiatives. Having set out some of the more troubling aspects of how social relations are produced within smart cities, we then examine how citizens and citizenship have been conceived and operationalized in the smart city to date. We then follow this with a discussion of social justice and the smart city. In the fifth section, we explore the notion of the “right to the smart city” and how this might be used to recast the smart city in emancipatory and empowering ways. Finally, we set out how the book seeks to answer our questions and extend our initial framing, exploring the extent to which the “right to the city” should be a fundamental principle of smart city endeavors.
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Hong Yao, Li‐Yin Shen, Jianli Hao and Chi‐ho Michael Yam
The purpose of this paper is to present a fuzzy‐analysis‐based scoring (F‐EPS) method for measuring contractors' environmental performance during project construction in order to…
Abstract
Purpose
The purpose of this paper is to present a fuzzy‐analysis‐based scoring (F‐EPS) method for measuring contractors' environmental performance during project construction in order to assist contractors in improving their environmental performance during project construction.
Design/methodology/approach
To review relevant literature and conduct practical investigations for establishing the indicators which measure the environmental performance made by contractors. This will be followed by establishing the performance benchmarks for measuring the performance level of the environmental indicators, and presenting a fuzzy‐analysis‐based scoring method for measuring a contractor's environmental performance. A practical case was adopted to demonstrate the procedures of applying the F‐EPS model.
Findings
This paper provides an alternative method, fuzzy‐analysis‐based scoring (F‐EPS) method for assessing contractors' environmental performance. Whilst there are existing methods developed in previous studies for assessing the environmental performance of construction projects, it appears that little study has been conducted to investigate measuring the environmental performance by contractors during the construction process. Shen et al. (2005) suggested measuring contractors' environmental performance by using an environmental performance score (EPS). However, the major weakness of using the EPS model is that the model does not take into consideration the characteristics of the subjective and fuzzy assessment process. The F‐EPS method is thus developed to help mitigate these weaknesses.
Practical implications
F‐EPS model provides a simple and easy‐to‐apply tool to assist contractors in identifying the poor environmental performance areas; thus corrective methods can be used to make improvement. It provides an effective method for contractors' environmental performance to be communicated to involved stakeholders.
Originality/value
There are many variables affecting contractors' environmental performance, which present difficulties for measuring the performance efficiently and effectively. This paper has presented a new approach, a fuzzy‐analysis‐based method, for measuring the environmental performance used by contractors through applying the fuzzy analysis principles.