GIS Automated Delineation of Hospital Service Areas

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Foreword
Preface
Authors
List of Major GIS Datasets and Program Files
1. Why Hospital Service Areas?
	1.1 Hospital Service Area ( HSA) as a Functional Region
	1.2 Value of HSAs
	1.3 Study Area and Data
	1.4 Overview of Remaining Chapters
2. Estimating Distance and Travel Time Matrices in GIS
	2.1 Measures of Distance and Travel Time
	2.2 Computing Distance and Drive Time Matrices in ArcGIS Pro
		2.2.1 Computing Euclidean and Geodesic Distance Matrices in ArcGIS Pro
		2.2.2 Computing a Drive Time Matrix in ArcGIS Pro
	2.3 Estimating a Transit Travel Time Matrix in ArcGIS Pro
	2.4 Estimating Drive Time and Transit Time Matrices by Google Maps API
	2.5 Estimating a Large Drive Time Matrix by a Differential Sampling Approach
		2.5.1 Estimating Preliminary Inter-zonal Times
		2.5.2 Calibrating Inter-zonal Times on Randomly Sampled OD Pairs by Google Maps API
		2.5.3 Appending Intra-zonal Times
	2.6 Summary
3. Analysis of Spatial Behavior of Health Care Utilization in Distance Decay
	3.1 Distance Decay Functions
	3.2 Value of Analyzing Distance Decay Effects in Health Care Studies
	3.3 Deriving the Distance Decay Functions by the Spatial Interaction Model
		3.3.1 Estimating the Spatial Interaction Model
		3.3.2 Distance Decay Effects across Geographic Areas in Florida
	3.4 Deriving the Distance Decay Functions by a Complementary Cumulative Distribution Curve
		3.4.1 Estimating the Complementary Cumulative Distribution Function
		3.4.2 Distance Decay Effects Across Population Groups in Florida
	3.5 Summary
4. Delineating Hospital Service Areas by the Dartmouth Method
	4.1 History and Applications of Dartmouth HSAs and HRRs
	4.2 The Dartmouth Method for Defining HSAs and HRRs
		4.2.1 Defining HSAs by the Refined Dartmouth Method
		4.2.2 Defining HRRs by the Refined Dartmouth Method
	4.3 Automating the Refined Dartmouth Method for HSA & HRR Delineations
	4.4 Delineating HSAs and HRRs in Florida by the Refined Dartmouth Method
		4.4.1 Delineating HSAs and HRRs in Florida by the Automated Toolkit
		4.4.2 Calculating Indices for 1993 Dartmouth HSAs and HRRs in Florida by the Toolkit
		4.4.3 Evaluating HSAs and HRRs by the Refined Dartmouth Method
	4.5 Summary
5. Delineating Hospital Service Areas by the Huff Model
	5.1 The Proximal Area Method and Its Implementation in GIS
		5.1.1 Defining Proximal Areas in Euclidean Distance in GIS
		5.1.2 Defining Proximal Areas in Travel Time in GIS
	5.2 The Huff Model and Extensions
		5.2.1 From Reilly’s Law to the Huff Model
		5.2.2 Extensions to the Huff Model
	5.3 Implementing the Huff Model for Delineating HSAs in ArcGIS Pro
	5.4 Automated Delineation of HSAs by Integrating the Huff Model and Dartmouth Method
	5.5 Summary
6. Delineating Hospital Service Areas by Network Community Detection Methods
	6.1 Community Detection Methods: From Louvain to Leiden
	6.2 Spatially Constrained Louvain and Leiden Methods
	6.3 Automated Delineation of HSAs and HRRs and a Case Study in Florida
		6.3.1 Automating the ScLouvain and ScLeiden Methods in ArcGIS Pro
		6.3.2 Delineating HSAs and HRRs in Florida by the ScLouvain and ScLeiden Methods
		6.3.3 Computational Performances of the ScLouvain and ScLeiden Methods
	6.4 Comparing HSAs and HRRs by ScLouvain, ScLeiden, and Refined Dartmouth Methods
	6.5 Summary
7. Delineating Cancer Service Areas in the Northeast Region of the USA
	7.1 Study Area and Cancer Care Data
	7.2 Interpolating Suppressed Service Volumes
	7.3 Delineating CSAs by ScLouvain and ScLeiden in the Northeast Region
	7.4 Variation of Distance Decay Behavior across CSAs in the Northeast Region
	7.5 Summary
Appendix A: User Guide: Estimating a Large OD Drive Time Matrix
Appendix B: User Guide: How to Create Curved-Line and Straight-Line Network Flow Maps
References
Index