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ویرایش:
نویسندگان: H. Patricia McKenna
سری:
ISBN (شابک) : 3030708209, 9783030708207
ناشر: Springer
سال نشر: 2021
تعداد صفحات: 175
[165]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 3 Mb
در صورت تبدیل فایل کتاب Seeing Smart Cities Through a Multi-Dimensional Lens: Perspectives, Relationships, and Patterns for Success به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب دیدن شهرهای هوشمند از طریق یک لنز چند بعدی: دیدگاه ها، روابط، و الگوهای موفقیت نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب یک لنز بین رشتهای برای کاوش، ارزیابی و دستیابی به
درک جدید از شهرها و مناطق هوشمند، با تمرکز بر شش بعد سنجش،
آگاهی، یادگیری، باز بودن، نوآوری و اختلال ارائه میکند. با
استفاده از مطالعه موردی ترکیبی و رویکرد همبستگی، افراد از
بخشهای مختلف در انواع شهرهای کوچک تا متوسط و بزرگ در
کشورهای مختلف (مانند کانادا، ایالات متحده، ایرلند، یونان،
اسرائیل و غیره) دیدگاههای مبتنی بر تجربه را ارائه میکنند.
در مورد شهرهای هوشمند همراه با ارزیابی عناصر مربوط به هر یک
از ابعاد شش گانه.
تجزیه و تحلیل یافتههای این کار، ملیلهای غنی و در هم تنیده
از الگوها از دادههای کیفی را نشان میدهد که به عنوان مثال،
اهمیت تجسم احساسات/تأثیر، حریم خصوصی، اعتماد و داده ها در
تأثیرگذاری و اطلاع رسانی جهت شهرها و مناطق هوشمند در آینده.
تجزیه و تحلیل همبستگی داده های کمی وجود و قدرت روابط نوظهور
را در بین عناصر ارزیابی شده نشان می دهد و عواملی را که ممکن
است به عنوان نقطه شروعی برای درک آنچه در پتانسیل های بهبود
موفقیت در شهرها و مناطق هوشمند نقش دارند، روشن کند.
This book provides an interdisciplinary lens for exploring,
assessing, and coming to new understandings of smart cities
and regions, focusing on the six dimensions of sensing,
awareness, learning, openness, innovation, and disruption.
Using a hybrid case study and correlational approach, people
from diverse sectors in a variety of small to medium to
large-sized cities in multiple countries (e.g., Canada,
United States, Ireland, Greece, Israel, etc.) provide
experience-based perspectives on smart cities together with
assessments for elements pertaining to each of the six
dimensions.
The analysis of findings in this work surfaces a rich and
interwoven tapestry of patterns from the qualitative data
highlighting for example, the importance of emotion/affect,
privacy, trust, and data visualizations in influencing and
informing the directions of smart cities and regions going
forward. Correlational analysis of quantitative data reveals
the presence and strength of emerging relationships among
elements assessed, shedding light on factors that may serve
as starting points for understanding what is contributing to
potentials for improving success in smart cities and
regions.
Foreword Preface Contents Abbreviations Part I: Smart City Perspectives, Spaces for People, and a Hybrid Study Approach Chapter 1: Perspectives on Smart Cities 1.1 Introduction 1.2 Background 1.2.1 Definitions Smart Cities Perceive, See, Seeing, and Transparent Urban and Ambient Theory 1.2.2 Objectives 1.3 Seeing through Smart Cities: A Theoretical Perspective 1.3.1 Emerging Technologies & Smart Cities 1.3.2 Urban Theory & Smart Cities 1.3.3 People and Smart Cities 1.3.4 Disruptive and Contested Nature of Smart City Initiatives 1.3.5 Summary 1.3.6 Conceptual Framework for Seeing Smart Cities Through a Multi-dimensional Lens 1.4 Smart Cities and Associated Challenges and Opportunities 1.4.1 Seeing Through Smart Cities and Associated Challenges 1.4.2 Seeing Through Smart Cities and Associated Opportunities 1.4.3 Methodology 1.5 Explorations for Practice and Research 1.6 Conclusion References Chapter 2: Sensing as Seeing 2.1 Introduction 2.2 Background 2.2.1 Definitions Actors Agency Instrumentality Sense Sensing Success 2.3 Sensing as Spaces for People: A Theoretical Perspective 2.3.1 Sensing and Smart Cities 2.3.2 Spaces for People and Smart Cities 2.3.3 Agency and Smart Cities 2.3.4 Emotion/Affect and Smart Cities 2.3.5 Summary 2.3.6 Conceptual Framework for Sensing in Smart Cities 2.4 Methodology 2.4.1 Process 2.4.2 Sources of Evidence 2.4.3 Data Analysis 2.5 Findings 2.5.1 Quantitatively Assessing Sensing in Smart Cities 2.5.2 Qualitatively Speaking: What People Said about Sensing 2.6 Discussion of Findings for Seeing as Sensing 2.7 Limitations, Mitigations, and Implications 2.7.1 Implications for Practice and Research Sensing for Acting and Influencing: Implications for Practice Sensing and Urban Theory and Methods: Implications for Research 2.8 Conclusion References Chapter 3: A Hybrid Approach to Seeing Through Smart Cities 3.1 Introduction 3.2 Background 3.2.1 Definitions Correlation Hybrid 3.3 Revising the Framework for Seeing Smart Cities 3.3.1 A Hybrid Conceptual Framework for Seeing in Smart Cities 3.3.2 Application of the Hybrid Framework 3.4 Methodology for the Hybrid Framework 3.4.1 Process 3.4.2 Sources of Evidence 3.4.3 Data Analysis 3.5 Findings 3.6 Discussion: A Hybrid Approach for Seeing Through Smart Cities 3.7 Limitations, Mitigations and Implications 3.7.1 Implications for Practice and Research Sensing as Seeing Through Smart Cities: Implications for Practice Sensing as Seeing Through Smart Cities: Implications for Research 3.8 Conclusion References Part II: Emerging Urban Patterns and Relationships Influencing and Informing Smart Cities Chapter 4: Awareness and Seeing 4.1 Introduction 4.2 Background 4.2.1 Definitions Awareness Urban Data 4.3 Awareness as Seeing: A Theoretical Perspective 4.3.1 Awareness, People, and Smart Cities 4.3.2 ICTs, Urban Data, and Smart Cities 4.3.3 Summary 4.3.4 Conceptual Framework for Awareness in Smart Cities 4.4 Methodology 4.4.1 Process 4.4.2 Sources of Evidence 4.4.3 Data Analysis 4.5 Findings 4.6 Discussion of Awareness: People and Data in Smart Cities 4.7 Limitations, Mitigations, and Future Implications 4.7.1 Implications for Practice and Research Awareness and Smart Cities: Implications for Practice Awareness and Smart Cities: Implications for Research 4.8 Conclusion References Chapter 5: Learning and Data in Smart Cities 5.1 Introduction 5.2 Background 5.2.1 Definitions Data Privacy Security Trust Learning Cities 5.3 Learning and Data in Smart Cities: A Theoretical Perspective 5.3.1 Learning and Smart Cities 5.3.2 Data and Smart Cities 5.3.3 Summary 5.3.4 Conceptual Framework for Learning and Data in Smart Cities 5.4 Methodology 5.4.1 Process 5.4.2 Sources of Evidence 5.4.3 Data Analysis 5.5 Findings 5.6 Discussion: Enhancing Data Literacies in Smart Cities 5.7 Limitations, Mitigations, and Implications 5.7.1 Implications for Practice and Research Learning and Data: Implications for Practice Learning and Data: Implications for Research 5.8 Conclusion References Chapter 6: Openness and Data Access in Smart Cities 6.1 Introduction 6.2 Background 6.2.1 Definitions Openness Access Big Data Open Data Privacy 6.3 Openness and Data in Smart Cities: A Theoretical Perspective 6.3.1 Open Data and Smart Cities 6.3.2 Data and Access in Smart Cities 6.3.3 Policy, Governance, and Regulation in Smart Cities 6.3.4 Privacy and Sharing in Smart Cities 6.3.5 Summary 6.3.6 Conceptual Framework for Openness and Data in Smart Cities 6.4 Methodology 6.4.1 Process 6.4.2 Sources of Evidence 6.4.3 Data Analysis 6.5 Findings 6.6 Openness and Data for Seeing Through Smart Cities 6.7 Limitations, Mitigations, and Implications 6.7.1 Implications for Practice and Research Openness and Data: Implications for Practice Openness and Data: Implications for Research 6.8 Conclusion References Chapter 7: Innovation and Data in Smart Cities 7.1 Introduction 7.2 Background 7.2.1 Definitions Creativity Innovation Collaboration, Ownership, Sharing: Data 7.3 Innovation: A Theoretical Perspective 7.3.1 Innovation and Smart Cities 7.3.2 Data and Smart Cities: Collaboration, Ownership and Value 7.3.3 Summary 7.3.4 Framework for Innovation and Data in Smart Cities 7.4 Methodology 7.4.1 Process 7.4.2 Sources of Evidence 7.4.3 Data Analysis 7.5 Findings 7.6 Discussion: Innovation and Data for Seeing Through the City 7.7 Limitations, Mitigations, and Implications 7.7.1 Implications for Practice and Research Innovation and Data: Implications for Practice Innovation and Data: Implications for Research 7.8 Conclusion References Part III: Complexity, Disruptiveness, and Transformation in Smart Cities Chapter 8: Disruption in Smart Cities/Regions 8.1 Introduction 8.2 Background 8.2.1 Definitions Disruption Disruptive Innovation Success 8.3 Disruption: A Theoretical Perspective 8.3.1 Disruption and Smart Cities 8.3.2 Collaboration, Complexity and Success in Smart Cities 8.3.3 Summary 8.3.4 Conceptual Framework for Disruption and Smart Cities 8.4 Methodology 8.4.1 Process 8.4.2 Sources of Evidence 8.4.3 Data Analysis 8.5 Findings 8.6 Discussion: Disruption and Seeing Through Smart Cities 8.7 Limitations, Mitigations and Implications 8.7.1 Implications for Practice and Research Disruption and Smart Cities: Implications for Practice Disruption and Smart Cities: Implications for Research 8.8 Conclusion References Chapter 9: After Synthesizing and Analyzing 9.1 Introduction 9.2 Seeing Through the Lens of Smart Cities 9.2.1 Seeing Through Smart Cities: Taking Another Look 9.2.2 Seeing Through Smart Cities: A Componential View 9.2.3 Seeing Through Smart Cities: Theoretical Perspectives 9.3 Findings and Discussion 9.3.1 Variables, Correlations, and Opportunities in Smart Cities 9.3.2 What People Said: Similarities and Differences 9.3.3 Insights, Patterns, Spaces for Dialogue & Theory & Methods 9.3.4 A Typology for Seeing Through Smart Cities 9.4 Future Directions and Pathways for Success 9.4.1 Implications for Practice 9.4.2 Implications for Research 9.4.3 After Thoughts 9.5 Conclusion References