This book is mainly focused on two themes: transportation and smart city applications. Open geospatial science and technology is an increasingly important paradigm that offers the opportunity to promote the democratization of geographical information, the transparency of governments and institutions, as well as social, economic and urban opportunities. During the past decade, developments in the area of open geospatial data have greatly increased. The open source GIS research community believes that combining free and open software, open data, as well as open standards, leads to the creation of a sustainable ecosystem for accelerating new discoveries to help solve global cross-disciplinary urban challenges. The vision of this book is to enrich the existing literature on this topic, and act one step towards more sustainable cities through employment of open source GIS solutions that are reproducible. Various contributions are provided and practically implemented in several urban use cases. Therefore, apart from researchers, lecturers and students in the geography/urbanism domain, crowdsourcing and VGI domain, as well as open source GIS domain, it is believed the specialists and mentors in municipalities and urban planning departments as well as professionals in private companies would be interested to read this book.
Author(s): Amin Mobasheri
Series: Lecture Notes in Intelligent Transportation and Infrastructure
Publisher: Springer
Year: 2020
Language: English
Pages: 174
City: Cham
Preface
Contents
Contributors
An Introduction to Open Source Geospatial Science for Urban Studies
1 Introduction
2 Trends in Open Source Geospatial Science for Transportation Studies
3 Trends in Open Source Geospatial Science for Smart Cities
4 Conclusion and Remarks
References
Bicycle Station and Lane Location Selection Using Open Source GIS Technology
1 Introduction
2 Methodology
2.1 Fuzzy Modeling
2.2 Spatial Decision Support
2.3 Open Source Geographic Information Systems Modeling
3 A Case Study: Istanbul
3.1 Scenarios
3.2 Evaluation of Criteria
3.3 Fuzzification of Layers
3.4 Criteria Weighting
4 Results and Discussion
5 Conclusions
References
Spatial Query Performance Analyses on a Big Taxi Trip Origin–Destination Dataset
1 Introduction
2 Literature Review
2.1 Relational and NoSQL DBMSs
2.2 Urban Traffic Data
3 Case Study: Taxi Trips of New York City
3.1 Data Import
3.2 k Nearest Neighbour Analysis
3.3 Point-In-Polygon Analysis
3.4 Journey Time Analysis
4 Conclusions
References
Investigating the Use of Historical Node Location Data as a Source to Improve OpenStreetMap Position Quality
1 Introduction
2 Literature Overview
3 Methodology
3.1 Mean Calculation
3.2 Weighted Mean Calculation
3.3 Cluster-Based Calculation
4 Experimental Results
4.1 Data Preparation
4.2 Node Location Comparison
4.3 Central Limit Theorem
4.4 Location Accuracy Analysis
4.5 Models Analysis and Evaluations
5 Conclusions and Future Works
References
Open Geospatial Data Contribution Towards Sentiment Analysis Within the Human Dimension of Smart Cities
1 Introduction
1.1 In the Pursuit of Smart Cities
1.2 Crowdsourcing, UGsC and AGI
2 Sentiment Analysis
3 Materials and Methods
3.1 Twitter as an UGsC Data Source
3.2 Open Source Geospatial Methodology
4 Preliminary Results and Discussion
5 Conclusions and Future Research Directions
References
Generating 3D City Models from Open LiDAR Point Clouds: Advancing Towards Smart City Applications
1 Introduction
2 Related Work
3 Required Data Sets
4 Methodology
4.1 Wall Points Removal
4.2 Recognizing Different Roof Surfaces
4.3 Classifying the Roofs and Generating the Building Model
5 Results and Discussion
6 Conclusions and Future Work
References
Open-Source Approaches for Location Coverage Modelling
1 Introduction
2 Background
3 Methods
4 Access and Solutions
4.1 Coverage Computing
4.2 Model Type
4.3 Capacity
4.4 Demand Unit Shape and Weight
4.5 Space and Distance Metric
4.6 Solution Approach
5 Conclusions
References
New Age of Crisis Management with Social Media
1 Introduction
1.1 Volunteers of VGI
1.2 SM-VGI Studies for DM
1.3 Twitter and VGI Features
2 Case Study
2.1 Data Accountability
2.2 Disaster Event Case
2.3 Data Capture Tools
2.4 Data Overview
2.5 Data Process
3 Validation and Assessment
4 Conclusion
References
