Big Data Analytics for Smart Transport and Healthcare Systems (Urban Sustainability)

Acknowledgements
About This Book
Prologue
Contents
About the Authors
1 The Role of Big Data Analytics in Urban Systems: Review and Prospect for Smart Transport and Healthcare Systems
	1 Introduction
	2 Big Data Analytics in Urban Systems
		2.1 Development Process of Big Data Analytics
		2.2 Application of Big Data Analytics
		2.3 Security and Detection
		2.4 Energy Consumption Management
		2.5 Governance and Planning
		2.6 Health Monitoring and Response
		2.7 Transportation and Flows
	3 Challenges of Big Data Analytics in Cities
	4 Prospects of Urban Big Data Analytics
		4.1 Review and Prospect for Smart Transport and Healthcare Systems
	5 Conclusions
	6 Summary
	Appendix
	References
Part I Smart Transport
2 Big Data Analysis for an Optimised Classification for Flight Status: Prediction Analysis Using Machine Learning Classifiers
	1 Introduction
	2 Literature Review
		2.1 Machine Learning for Flight Predictions
	3 Methodology
	4 Result and Discussion
	5 Conclusion
	References
3 On-Board Unit Freight Transport Data Analysis and Prediction: Big Data Analysis for Data Pre-processing and Result Accuracy
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Preprocessing
		3.2 Time Series Prediction Models
	4 Results and Discussions
		4.1 Data Exploration and Visualisation
		4.2 Contributions in Data Preprocessing
		4.3 Comparison of LSTM and LSTM + FCN Model
	5 Conclusion
	References
4 Data-Driven Multi-target Prediction Analysis for Driving Pattern Recognition: A Machine Learning Approach to Enhance Prediction Accuracy
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Pre-processing
		3.2 Multi-target Prediction Model
		3.3 Clustering
	4 Result and Discussion
		4.1 Performance Evaluation Metrics
		4.2 The Model Evaluation
		4.3 Model Training Delay
	5 Conclusion and Future Work
	References
5 A Predictive Data Analysis for Traffic Accidents: Real-Time Data Use for Mobility Improvement and Accident Reduction
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Preprocessing
		3.2 Information Correlation Calculation
	4 Result and Discussion
		4.1 Data Analysis
		4.2 Correlation Calculation
		4.3 Evaluation
	5 Conclusion
	References
Part II Smart Healthcare
6 Healthcare Infrastructure Development and Pandemic Prevention: An Optimal Model for Healthcare Investment Using Big Data
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Processing
		3.2 Linear Regression
		3.3 SVR
		3.4 KNN
		3.5 Decision Tree
	4 Results and Discussions
		4.1 Linear Regression Analysis
		4.2 SVR
		4.3 KNN
		4.4 Decision Tree
		4.5 Discussions
	5 Conclusions
	References
7 Big Data for Social Media Analysis During the COVID-19 Pandemic: An Emotion Analysis Based on Influences from Social Networks
	1 Introduction
	2 Literature Review
		2.1 Hot Topic Searches: An Analysis of Information Spread During the COVID-19 Pandemic
		2.2 Social Media Sentimental Analysis Abroad
		2.3 Social Media Sentimental Analysis in China
		2.4 Public Opinions Toward COVID-19 Lockdown
		2.5 Text Emotion Analysis
	3 Methodology
		3.1 Data Collection
		3.2 Data Pre-processing
		3.3 Data Analysis and Visualisation
		3.4 Machine Learning
	4 Results and Discussion
	5 Conclusions
	References
8 Big Data-Enabled Time Series Analysis for Climate Change Analysis in Brazil: An Artificial Neural Network Machine Learning Model
	1 Introduction
	2 Related Work
		2.1 PCA
		2.2 Cross-Validation
		2.3 Time Series Model
		2.4 Multi-layer Perceptron
	3 Methodology
		3.1 Dimension Reduction
		3.2 Time Series Model
	4 Results and Discussion
		4.1 Results of PCA
		4.2 Results of Model
		4.3 Results Analysis
	5 Conclusions and Future Work
	References
9 Optimized Clustering Model for Healthcare Sentiments on Twitter: A Big Data Analysis Approach
	1 Introduction: Social Media and Public View on Health-Related Matters
	2 Literature Review on Sentiment Analysis in Healthcare
		2.1 Keywords Extraction Methods
		2.2 Sentiment Analysis Clustering Models
	3 Methodology
		3.1 Feature Extraction Algorithm
		3.2 Clustering Algorithms
	4 Experiments and Results
		4.1 Dataset
		4.2 Experiment and Configuration
		4.3 Evaluation Metrics
		4.4 Clustering Results and Discussion
	5 Conclusions
	References
10 Big Data Analytics and the Future of Smart Transport and Healthcare Systems
	1 A Brief Reflection on Big Data Analytics and Smart Transport and Healthcare Systems
	2 Sectoral Contributions of the Book
	3 Concluding Remarks: A Summary of Lessons Learnt for Future Research
		3.1 On ‘Smart Transport’
		3.2 On ‘Smart Healthcare’
	References
Index