Author: Saburo Saito
Publisher: Springer Nature
ISBN: 9819912415
Category :
Languages : en
Pages : 620

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Book Description

Author: Saburo Saito
Publisher: Springer
ISBN: 9811317399
Category : Business & Economics
Languages : en
Pages : 462

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Book Description
This book is the first systematic exposition of advances in Kaiyu studies carried out by the author and his colleagues in Japan and other parts of Asia. Consumer shop-around behavior is referred to as Kaiyu in Japanese, a term widely used in several fields such as city planning, marketing, real estate, tourism, and regional policy. The book demonstrates how Kaiyu research has evolved from the original idea to the present state and envisages prospective Kaiyu studies in the age of big data and the Internet of Things (IoT). The distinguishing feature of their research is that Kaiyu is regarded as consumers’ simultaneous decisions sequentially made while undertaking their shop-arounds as to which shops they visit, for what purpose, and how much they spend there. This is a sharp contrast to much research on trip chains, which only deal with spatial movements. As a result, their studies first succeeded in empirically exploring the relationships between consumer shop-around movements and money flows among shopping sites within a city center retail environment. As a result, the author and his coworkers uncovered the roles of many urban policies and facilities inexplicit so far by revealing how they contribute to the turnover of the whole town through stimulating Kaiyu. This gives a universal means of evaluation for urban development policy. Thus they have refreshed the scope of consumer shop-around studies from shop-around movements in the context of city planning, shopping marketing, and evaluation of urban revitalization policy, to town equity researches. This book presents step by step these conceptual developments by showing concrete research examples from their vast Kaiyu studies based on numerous empirical interview surveys at real retail environments.

Author: Saburo Saito
Publisher: New Frontiers in Regional Science: Asian Perspectives
ISBN: 9789819912438
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
This book is the first comprehensive presentation of a Kaiyu Markov model with covariates and a multivariate Poisson model with competitive destinations. These two models are core techniques when the authors and colleagues conduct their Kaiyu studies. The two models are usually used to forecast the effects of specific urban redevelopment on both the number of visitors and consumer shop-around or Kaiyu movements. Their Kaiyu studies originated from the constructions of a Kaiyu Markov model and the disaggregated hierarchical decision Huff model almost simultaneously around the early 1980s. This book retrospectively reviews how these models have evolved from the start to the present state, and previews the ongoing efforts to make further extensions of these models. The extension of the Huff model started from the disaggregated hierarchical decision Huff model with shop-arounds. In retrospect, the model formulated the consumer's simultaneous choice of destinations as a joint probability. The mechanism to determine this joint probability was a recursive conditional probability system. Now the Huff model has shifted from joint probability to multivariate frequency Poisson with competitive destinations. On the other hand, the Kaiyu Markov model started from a descriptive model. Because it cannot forecast changes in shop-arounds or consumer Kaiyu behaviors, the Kaiyu Markov model with covariates was developed in which entrance and shop-around choice probabilities are explained by the respective two logit models with covariates such as distances and shop-floor areas. The noticeable point is that it can explain consumers' probability of quitting their shop-arounds. Thus, the model enables one to evaluate the effects of urban revitalization policy that promotes consumers' shop-arounds or Kaiyu behaviors. Furthermore, if the Kaiyu Markov model can estimate the actual numbers of flows of consumers' shop-arounds among shopping sites, the corresponding money flows also can be estimated as economic effects. This book discusses from scratch the evolution of all these topics. Thus this book provides the basics of the Kaiyu Markov model, a tutorial for the theory and estimation of the conditional logit model, and a chapter serving as a practical research manual for forecasting changes caused by urban development based on consumers' Kaiyu behaviors.

Author: Cheng F. Lee
Publisher: Center for PBBEFR & Ainosco Press
ISBN: 9866286746
Category : Business & Economics
Languages : en
Pages : 226

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Book Description
Advances in Financial Planning and Froecasting (New Series) is an annual publication designed to disseminate developments in the area of financial analysis, planning, and forecasting. The publication is a froum for statistical, quantitative, and accounting analyses of issues in financial analysis and planning in terms of finance, accounting, and economic data.

Author: G. Grigoras
Publisher: IOS Press
ISBN: 1643684450
Category : Computers
Languages : en
Pages : 1224

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Book Description
Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

Author: Yasuhiro Kawahara
Publisher: Springer Nature
ISBN: 9811973113
Category : Business & Economics
Languages : en
Pages : 284

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Book Description
This book is the first coherent presentation of the latest research and practices concerned with how recent advances in mobile information and communication technology (ICT) and the Internet of Things (IoT) are utilized to enhance the value of the city and change the way that city planning and management are carried out. Its salient feature is the pursuit of the individual-oriented evaluative point of view regarding the city. This view considers the value of the city to be the total of visit-values individuals feel and appreciate when they visit the city. The visit-value is conceptualized as the intangible asset value of the attractiveness of the city that visitors form in their minds based on their experiences and activities in the city, transactions with city space, and communications with other people. Visitors to the city may well be quite heterogeneous individuals with different motives and preferences. Thus, to enhance the value of the city, quite different visit values of heterogeneous individuals should be enhanced simultaneously, which necessitates the use of ICT and IoT in living spaces. Based on this view, the city utilizing ICT and IoT to enhance the value of the city is called the social city. Whereas many other books deal with the impacts of the advances in mobile ICT on the city, they only discuss how these advances change the infrastructure of the city but do not discuss how these technological advances can be utilized to enhance the city’s value. This book first develops the concept of the social city based on an individual micro-behavioral approach. Then, it presents the latest studies on technological components of the social city, such as the human-sensing technology for estimating individual behavior, decision making, and mood; the visualizing technology of the thermal 3-dimensional environment of the city; and the social-sensing technology using social networking service (SNS) for measuring and creating an atmosphere of city space. Finally, it envisages the future of the social city.

Author: Yuxin Peng
Publisher: Springer
ISBN: 3030026981
Category : Computers
Languages : en
Pages : 692

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Book Description
This book constitutes the proceedings of the 8th International Conference on Intelligence Science and Big DataEngineering, IScIDE 2018, held in Lanzhou, China, in August 2018.The 59 full papers presented in this book were carefully reviewed and selected from 121 submissions.They are grouped in topical sections on robots and intelligent systems; statistics and learning; deep learning; objects and language; classification and clustering; imaging; and biomedical signal processing.​

Author: Jennifer Moore Bernstein
Publisher: Emerald Group Publishing
ISBN: 1789730996
Category : Business & Economics
Languages : en
Pages : 152

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Book Description
This book takes a wide-ranging and non-dogmatic view of SDG12, tackling various approaches as to how production and consumption can provide for human well-being while minimizing destructive effects on the biophysical environment.

Author: National Research Council
Publisher: National Academies Press
ISBN: 030915183X
Category : Science
Languages : en
Pages : 192

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Book Description
More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such processes can be difficult to represent realistically. To improve the quality of forecasts, this book makes recommendations about the development of the tools used in forecasting and about specific research goals for improving understanding of sources of predictability. To improve the accessibility of these forecasts to decision-makers and researchers, this book also suggests best practices to improve how forecasts are made and disseminated.

Author: Jingshan Li
Publisher: World Scientific
ISBN: 9813220864
Category : Medical
Languages : en
Pages : 322

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Book Description
In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and efficiency of these systems in order to achieve better patient outcome.This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.