| TÃtulo : |
Big Data Support of Urban Planning and Management : The Experience in China |
| Tipo de documento: |
documento electrónico |
| Autores: |
Shen, Zhenjiang, ; Li, Miaoyi, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2018 |
| Número de páginas: |
XXX, 456 p. 254 ilustraciones, 232 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-319-51929-6 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
La polÃtica energética EnergÃa y estado IngenierÃa de Transporte IngenierÃa de tráfico Agua HidrologÃa GeografÃa economica GeografÃa Humana Procesamiento de datos PolÃtica EconomÃa y Gestión Energética TecnologÃa del Transporte e IngenierÃa de Tráfico MinerÃa de datos y descubrimiento de conocimientos |
| Clasificación: |
333.7 Recursos naturales y energía |
| Resumen: |
En la era del big data, este libro explora los nuevos desafÃos de la planificación y gestión urbano-rural desde una perspectiva práctica basada en un proyecto multidisciplinar. Los investigadores que han contribuido a este libro han llevado a cabo sus proyectos utilizando big data y tecnologÃas de extracción de datos relevantes para investigar las posibilidades de big data, como los obtenidos a través de teléfonos móviles, sistemas de redes sociales y tarjetas inteligentes, en lugar de datos de encuestas convencionales para el apoyo a la planificación urbana. . Este libro presenta investigadores activos que comparten sus experiencias e ideas sobre movilidad humana, accesibilidad y reconocimiento de lugares, conectividad del transporte y estructura urbana con el fin de proporcionar herramientas analÃticas y de pronóstico efectivas para soluciones de diseño y planificación de ciudades inteligentes en China. |
| Nota de contenido: |
Chapter 1: Overview: Big Data Support for Urban Planning and Management in China -- Part 1: Social Big Data for Exploring Human Behaviors and Urban Structure -- Chapter 2: Early Warning of Human Crowds Based on Query Data from Baidu Map: A Lesson from Shanghai Stampede -- Chapter 3: Research on Spatial Distribution Characteristics of Residents' Emotions Based on Sina Weibo Big Data: A Case Study of Nanjing -- Chapter 4: Measuring by Movements: Hierarchical Clustering of Cities in China Based on Aggregated Massive Positioning Data -- Chapter 5: Assessment of Regional Economic Integration Based on Relational Data: The Case of the Yangtze River Delta -- Chapter 6: The Recognition of CAZ in Shanghai Based on Evaluated POI -- Chapter 7: The Fear of Ebola: A Tale of Two Cities in China -- Part 2: POI for Exploring Urban Space Recognition -- Chapter 8: Identifying and Evaluating Urban Centers for the Whole China Using Open Data -- Chapter 9: Geographic Big Data's Applications in Retailing Business Market -- Chapter 10: Redefinition the Social Space Based on Social Atlas Analysis: A Case Study of Dongguan, China -- Chapter 11: The Spatial and Temporal Evolution of Innovative Function of Science and Technology of Beijing Based on the Analysis of Enterprise Data -- Part 3: Mobile Device Data for Integrating Land Use and Transportation Planning -- Chapter 12: Spatial Development Analysis of the Southern Area of Beijing Based on Multi-Source Data -- Chapter 13: Study on Population Dynamics and Mobility of Shanghai Based on Cell Phone Signaling Data -- Chapter 14: The Application of Big Data in the Study of Urban Spatial Structure -- Chapter 15: Application of Cellular Data in Traffic Planning -- Chapter16: Extract the Spatial-temporal Distribution of Transit Trips from Smart Card Transaction Data: A Comparison between Shanghai and Singapore -- Part 4: Cyber Infrastructure for Urban Management -- Chapter 17: Traffic Big Data and Its Application in Road Traffic Performance Evaluation-Illustrated bythe Case of Shenzhen -- Chapter 18: Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop -- Chapter 19: Towards Mobility Turn in Urban Planning: Smart Travel Planning Based on Space-Time Behavior in Beijing, China -- Chapter 20: Observing and Quantifying Vitality of Dashilanr: An Automatic Human Activity Data Collection Experiment -- Chapter 21: Urban wind path planning based on meteorological and remote sensing data and GIS based ventilation analysis -- Chapter 22: A Synthesized Urban Science in the Context of Big Data and Cyber infrastructure. |
| Tipo de medio : |
Computadora |
| Summary : |
In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Big Data Support of Urban Planning and Management : The Experience in China [documento electrónico] / Shen, Zhenjiang, ; Li, Miaoyi, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXX, 456 p. 254 ilustraciones, 232 ilustraciones en color. ISBN : 978-3-319-51929-6 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
La polÃtica energética EnergÃa y estado IngenierÃa de Transporte IngenierÃa de tráfico Agua HidrologÃa GeografÃa economica GeografÃa Humana Procesamiento de datos PolÃtica EconomÃa y Gestión Energética TecnologÃa del Transporte e IngenierÃa de Tráfico MinerÃa de datos y descubrimiento de conocimientos |
| Clasificación: |
333.7 Recursos naturales y energía |
| Resumen: |
En la era del big data, este libro explora los nuevos desafÃos de la planificación y gestión urbano-rural desde una perspectiva práctica basada en un proyecto multidisciplinar. Los investigadores que han contribuido a este libro han llevado a cabo sus proyectos utilizando big data y tecnologÃas de extracción de datos relevantes para investigar las posibilidades de big data, como los obtenidos a través de teléfonos móviles, sistemas de redes sociales y tarjetas inteligentes, en lugar de datos de encuestas convencionales para el apoyo a la planificación urbana. . Este libro presenta investigadores activos que comparten sus experiencias e ideas sobre movilidad humana, accesibilidad y reconocimiento de lugares, conectividad del transporte y estructura urbana con el fin de proporcionar herramientas analÃticas y de pronóstico efectivas para soluciones de diseño y planificación de ciudades inteligentes en China. |
| Nota de contenido: |
Chapter 1: Overview: Big Data Support for Urban Planning and Management in China -- Part 1: Social Big Data for Exploring Human Behaviors and Urban Structure -- Chapter 2: Early Warning of Human Crowds Based on Query Data from Baidu Map: A Lesson from Shanghai Stampede -- Chapter 3: Research on Spatial Distribution Characteristics of Residents' Emotions Based on Sina Weibo Big Data: A Case Study of Nanjing -- Chapter 4: Measuring by Movements: Hierarchical Clustering of Cities in China Based on Aggregated Massive Positioning Data -- Chapter 5: Assessment of Regional Economic Integration Based on Relational Data: The Case of the Yangtze River Delta -- Chapter 6: The Recognition of CAZ in Shanghai Based on Evaluated POI -- Chapter 7: The Fear of Ebola: A Tale of Two Cities in China -- Part 2: POI for Exploring Urban Space Recognition -- Chapter 8: Identifying and Evaluating Urban Centers for the Whole China Using Open Data -- Chapter 9: Geographic Big Data's Applications in Retailing Business Market -- Chapter 10: Redefinition the Social Space Based on Social Atlas Analysis: A Case Study of Dongguan, China -- Chapter 11: The Spatial and Temporal Evolution of Innovative Function of Science and Technology of Beijing Based on the Analysis of Enterprise Data -- Part 3: Mobile Device Data for Integrating Land Use and Transportation Planning -- Chapter 12: Spatial Development Analysis of the Southern Area of Beijing Based on Multi-Source Data -- Chapter 13: Study on Population Dynamics and Mobility of Shanghai Based on Cell Phone Signaling Data -- Chapter 14: The Application of Big Data in the Study of Urban Spatial Structure -- Chapter 15: Application of Cellular Data in Traffic Planning -- Chapter16: Extract the Spatial-temporal Distribution of Transit Trips from Smart Card Transaction Data: A Comparison between Shanghai and Singapore -- Part 4: Cyber Infrastructure for Urban Management -- Chapter 17: Traffic Big Data and Its Application in Road Traffic Performance Evaluation-Illustrated bythe Case of Shenzhen -- Chapter 18: Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop -- Chapter 19: Towards Mobility Turn in Urban Planning: Smart Travel Planning Based on Space-Time Behavior in Beijing, China -- Chapter 20: Observing and Quantifying Vitality of Dashilanr: An Automatic Human Activity Data Collection Experiment -- Chapter 21: Urban wind path planning based on meteorological and remote sensing data and GIS based ventilation analysis -- Chapter 22: A Synthesized Urban Science in the Context of Big Data and Cyber infrastructure. |
| Tipo de medio : |
Computadora |
| Summary : |
In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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