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The Practice of Spatial Analysis

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Cover of 'The Practice of Spatial Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The Practice of Spatial Analysis
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    Chapter 2 Pavlos Kanaroglou, his McMaster Institute for Transportation and Logistics and Research Contributions to the City of Hamilton (2007–2016)
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    Chapter 3 An Ontological Framework for Spatial Socioeconomic Units
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    Chapter 4 Spatial Microsimulation and Agent-Based Modelling
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    Chapter 5 Spatial Patterns of Accessibility Between Islands of the North and South Aegean Regions and Attica
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    Chapter 6 Agent-Based Activity/Travel Microsimulation: What’s Next?
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    Chapter 7 Bottleneck Models and Departure Time Problems
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    Chapter 8 Factors Influencing Journey-to-Work by Public Transit in Mega Canadian Cities
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    Chapter 9 Freight Transportation: The Evolving Landscape of Matters and Models
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    Chapter 10 A Structural Equation Model of Commercial Vehicle Ownership
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    Chapter 11 Applying Behavior Change Theory to Predict Travel Behavior of University Commuters
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    Chapter 12 Developing a Spatial Transferability Platform to Analyze National-Level Impacts of Connected Automated Vehicles
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    Chapter 13 The Impact of Public Transport Infrastructure on Residential Land Value: Using Spatial Analysis to Uncover Policy-Relevant Processes
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    Chapter 14 California Business Establishment Evolution and Transportation Provision
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    Chapter 15 Investigating the Internal Compromise Between Wife and Husband’s Commute Time Changes in Residential Relocation
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    Chapter 16 Aerosol Optical Thickness Mapper (AOT-Mapper): A Geo-Information Software for AOT Mapping at Urban Scale Using Landsat TM or ETM + Satellite Images
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    Chapter 17 Mapping Air Pollution Health Risk: An Application of Canada’s AQHI
Attention for Chapter 11: Applying Behavior Change Theory to Predict Travel Behavior of University Commuters
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Chapter title
Applying Behavior Change Theory to Predict Travel Behavior of University Commuters
Chapter number 11
Book title
The Practice of Spatial Analysis
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-89806-3_11
Book ISBNs
978-3-31-989805-6, 978-3-31-989806-3
Authors

Panagiotis Papaioannou, Ioannis Politis, Papaioannou, Panagiotis, Politis, Ioannis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 50%
Student > Ph. D. Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 4 67%
Decision Sciences 1 17%
Business, Management and Accounting 1 17%