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160,162 result(s) for "Location"
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A comparative survey of service facility location problems
Determining the best location to serve companies’ profitability and sustainability is becoming more crucial every day, since the rivalry between companies is getting more intense. The transformation of economies from manufacturing orientation towards service based activities has resulted in a growing contribution of the service based economy in gross domestic product and workforce of developing countries. These recent changes in the economy are indicators that service facility related location science has received greater interest. Service location problems has been studied since the 1900s and interest on these types of problems has started to grow especially after the aforementioned economic transformation in the 2000s. A large number of problems have been investigated for different service facilities. However, there is a need for a survey that systematically classifies these papers in order to comprehend them thoroughly due to their prominence and complexity. This paper examines 90 papers that have been published on service facility location problems since 2000. The paper presents a classification based on 19 main characteristics including key features and descriptive dimensions of location problems in order to develop a taxonomy from an operations research perspective to assist the location scientists and practitioners who work on service facility location problems. Furthermore, service facility location problems are categorized according to their application fields and investigated in detail relating to each characteristic. We also draw interesting comparisons of characteristics between facility location problems in different application fields and highlight directions for future research.
Locational analysis of firms' activities from a strategic perspective
This book presents a variety of research papers on factories' locations, city systems, and regional development. Consisting of three parts, it provides insights into the locational aspects of firms' activities from a strategic perspective. Part 1 discusses decision-making in the context of location, specifying the motivation for firms to move their factories provided by the corporate tax system. It also presents a case study from East Asia to clarify a mechanism by which firms move factories. Part 2 addresses city systems, offering theoretical clues to understanding why city systems are important to regional economies. It also clarifies from the empirical analysis the relations between city systems and the performances of regional economies. Part 3 investigates the topic of industrial parks, demonstrating how they form a basis for establishing industrial clusters in regional economies. In addition, it examines the economic phases, such as economic disparity, generated in the process of development.
Cities of Knowledge
What is the magic formula for turning a place into a high-tech capital? How can a city or region become a high-tech powerhouse like Silicon Valley? For over half a century, through boom times and bust, business leaders and politicians have tried to become \"the next Silicon Valley,\" but few have succeeded. This book examines why high-tech development became so economically important late in the twentieth century, and why its magic formula of people, jobs, capital, and institutions has been so difficult to replicate. Margaret O'Mara shows that high-tech regions are not simply accidental market creations but \"cities of knowledge\"--planned communities of scientific production that were shaped and subsidized by the original venture capitalist, the Cold War defense complex. At the heart of the story is the American research university, an institution enriched by Cold War spending and actively engaged in economic development. The story of the city of knowledge broadens our understanding of postwar urban history and of the relationship between civil society and the state in late twentieth-century America. It leads us to further redefine the American suburb as being much more than formless \"sprawl,\" and shows how it is in fact the ultimate post-industrial city. Understanding this history and geography is essential to planning for the future of the high-tech economy, and this book is must reading for anyone interested in building the next Silicon Valley.
Recommendations in location-based social networks: a survey
Recent advances in localization techniques have fundamentally enhanced social networking services, allowing users to share their locations and location-related contents, such as geo-tagged photos and notes. We refer to these social networks as location-based social networks (LBSNs). Location data bridges the gap between the physical and digital worlds and enables a deeper understanding of users’ preferences and behavior. This addition of vast geo-spatial datasets has stimulated research into novel recommender systems that seek to facilitate users’ travels and social interactions. In this paper, we offer a systematic review of this research, summarizing the contributions of individual efforts and exploring their relations. We discuss the new properties and challenges that location brings to recommender systems for LBSNs. We present a comprehensive survey analyzing 1) the data source used, 2) the methodology employed to generate a recommendation, and 3) the objective of the recommendation. We propose three taxonomies that partition the recommender systems according to the properties listed above. First, we categorize the recommender systems by the objective of the recommendation, which can include locations, users, activities, or social media. Second, we categorize the recommender systems by the methodologies employed, including content-based, link analysis-based, and collaborative filtering-based methodologies. Third, we categorize the systems by the data sources used, including user profiles, user online histories, and user location histories. For each category, we summarize the goals and contributions of each system and highlight the representative research effort. Further, we provide comparative analysis of the recommender systems within each category. Finally, we discuss the available data-sets and the popular methods used to evaluate the performance of recommender systems. Finally, we point out promising research topics for future work. This article presents a panorama of the recommender systems in location-based social networks with a balanced depth, facilitating research into this important research theme.
Retail geography
This title surveys and sets in context the wide range of research work that has been done on retailing. It concentrates on western industrial societies, particularly Britain and the USA, and considers empirical research, theory and theoretical applications.
Site Fights
One of the most vexing problems for governments is building controversial facilities that serve the needs of all citizens but have adverse consequences for host communities. Policymakers must decide not only where to locate often unwanted projects but also what methods to use when interacting with opposition groups. InSite Fights, Daniel P. Aldrich gathers quantitative evidence from close to five hundred municipalities across Japan to show that planners deliberately seek out acquiescent and unorganized communities for such facilities in order to minimize conflict. When protests arise over nuclear power plants, dams, and airports, agencies regularly rely on the coercive powers of the modern state, such as land expropriation and police repression. Only under pressure from civil society do policymakers move toward financial incentives and public relations campaigns. Through fieldwork and interviews with bureaucrats and activists, Aldrich illustrates these dynamics with case studies from Japan, France, and the United States. The incidents highlighted inSite Fightsstress the importance of developing engaged civil society even in the absence of crisis, thereby making communities both less attractive to planners of controversial projects and more effective at resisting future threats.
Constructing dummy query sequences to protect location privacy and query privacy in location-based services
Location-based services (LBS) have become an important part of people’s daily life. However, while providing great convenience for mobile users, LBS result in a serious problem on personal privacy, i.e., location privacy and query privacy. However, existing privacy methods for LBS generally take into consideration only location privacy or query privacy, without considering the problem of protecting both of them simultaneously. In this paper, we propose to construct a group of dummy query sequences, to cover up the query locations and query attributes of mobile users and thus protect users’ privacy in LBS. First, we present a client-based framework for user privacy protection in LBS, which requires not only no change to the existing LBS algorithm on the server-side, but also no compromise to the accuracy of a LBS query. Second, based on the framework, we introduce a privacy model to formulate the constraints that ideal dummy query sequences should satisfy: (1) the similarity of feature distribution, which measures the effectiveness of the dummy query sequences to hide a true user query sequence; and (2) the exposure degree of user privacy, which measures the effectiveness of the dummy query sequences to cover up the location privacy and query privacy of a mobile user. Finally, we present an implementation algorithm to well meet the privacy model. Besides, both theoretical analysis and experimental evaluation demonstrate the effectiveness of our proposed approach, which show that the location privacy and attribute privacy behind LBS queries can be effectively protected by the dummy queries generated by our approach.