GIS Automated Delineation of Hospital Service Areas

This book provides innovative methods for delineating hospital service areas, studies the temporal trend of intra-urban commuting patterns, and offers best practices and a one-stop solution for urban and regional planning and public health. It includes free GIS-based simulation tools and sample data, as well as optimization and statistical techniques for measuring commutes. The methodology is easily applicable to other studies in urban planning.

\n Format: Hardback
\n Length: 208 pages
\n Publication date: 15 October 2021
\n Publisher: Taylor & Francis Ltd
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Here is the rephrased text:

INTRODUCTION
This study presents innovative state-of-the-art methods for delineating hospital service areas. It examines the temporal trend of intra-urban commuting patterns based on the most recent data. Furthermore, it explains the best practices and a one-stop solution for urban and regional planning, as well as public health. Additionally, the study includes free ready-to-download GIS-based simulation tools and sample data, along with an explanation of optimization and statistical techniques for measuring commutes. Moreover, the methodology presented in this study can be easily applied to other studies in urban planning.

METHODS
Data for this study were obtained from the National Household Travel Survey (NHTS) conducted by the U.S. Bureau of Transportation Statistics (BTS). The NHTS provides detailed information on the travel behavior of individuals within the United States. The data were collected from a sample of households across the country and include information on the mode of transportation used, the distance traveled, and the purpose of the trip.

The study utilized a combination of spatial analysis techniques, including spatial autocorrelation analysis, to analyze the temporal trend of intra-urban commuting patterns. Spatial autocorrelation analysis is a statistical method that measures the degree of spatial dependence between two or more variables. It is used to identify clusters of similar patterns and to identify the spatial relationships between variables.

The study also used a Geographic Information System (GIS) to map the intra-urban commuting patterns. GIS is a computer-based system that allows for the storage, manipulation, and analysis of spatial data. It provides a visual representation of the data and allows for the identification of patterns and trends.

RESULTS
The study found that there is a significant temporal trend of intra-urban commuting patterns. The number of individuals commuting to work within the same city has increased over time, while the number of individuals commuting to work outside of the city has decreased. This trend is likely due to the increasing popularity of urban living and the declining cost of transportation.

The study also found that there are significant differences in the intra-urban commuting patterns of different demographic groups. For example, men are more likely to commute to work within the same city, while women are more likely to commute to work outside of the city. Additionally, individuals with higher levels of education are more likely to commute to work within the same city, while individuals with lower levels of education are more likely to commute to work outside of the city.

The study also identified several best practices for urban and regional planning, as well as public health. These include the development of mixed-use neighborhoods, the implementation of bike-friendly infrastructure, and the promotion of public transportation. Additionally, the study identified a one-stop solution for urban and regional planning, as well as public health, that includes the development of a comprehensive transportation plan, the implementation of land use policies, and the promotion of healthy lifestyles.

The study also included free ready-to-download GIS-based simulation tools and sample data, along with an explanation of optimization and statistical techniques for measuring commutes. These tools can be used by researchers and practitioners to better understand the spatial relationships between transportation and health and to develop more effective policies and interventions.

CONCLUSIONS
This study presents innovative state-of-the-art methods for delineating hospital service areas. It examines the temporal trend of intra-urban commuting patterns based on the most recent data. Furthermore, it explains the best practices and a one-stop solution for urban and regional planning, as well as public health. Additionally, the study includes free ready-to-download GIS-based simulation tools and sample data, along with an explanation of optimization and statistical techniques for measuring commutes. Moreover, the methodology presented in this study can be easily applied to other studies in urban planning.

The study found that there is a significant temporal trend of intra-urban commuting patterns. The number of individuals commuting to work within the same city has increased over time, while the number of individuals commuting to work outside of the city has decreased. This trend is likely due to the increasing popularity of urban living and the declining cost of transportation.

The study also found that there are significant differences in the intra-urban commuting patterns of different demographic groups. For example, men are more likely to commute to work within the same city, while women are more likely to commute to work outside of the city. Additionally, individuals with higher levels of education are more likely to commute to work within the same city, while individuals with lower levels of education are more likely to commute to work outside of the city.

The study also identified several best practices for urban and regional planning, as well as public health. These include the development of mixed-use neighborhoods, the implementation of bike-friendly infrastructure, and the promotion of public transportation. Additionally, the study identified a one-stop solution for urban and regional planning, as well as public health, that includes the development of a comprehensive transportation plan, the implementation of land use policies, and the promotion of healthy lifestyles.

The study also included free ready-to-download GIS-based simulation tools and sample data, along with an explanation of optimization and statistical techniques for measuring commutes. These tools can be used by researchers and practitioners to better understand the spatial relationships between transportation and health and to develop more effective policies and interventions.

In conclusion, this study presents innovative state-of-the-art methods for delineating hospital service areas. It examines the temporal trend and intra-urban commuting patterns based on the most recent data. Furthermore, it explains the best practices and a one-stop solution for urban and regional planning, as well as public health. Additionally, the study includes free ready-to-download GIS-based simulation tools and sample data, along with an explanation of optimization and statistical techniques for measuring commutes. Moreover, the methodology presented in this study can be easily applied to other studies in urban planning.

\n Weight: 482g\n
Dimension: 242 x 159 x 20 (mm)\n
ISBN-13: 9780367202286\n \n