Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers (doi:10.7910/DVN/YYIEGC)

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Document Description

Citation

Title:

Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers

Identification Number:

doi:10.7910/DVN/YYIEGC

Distributor:

Harvard Dataverse

Date of Distribution:

2022-07-20

Version:

1

Bibliographic Citation:

Lingjie Hu; Biyu Chen, 2022, "Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers", https://doi.org/10.7910/DVN/YYIEGC, Harvard Dataverse, V1

Study Description

Citation

Title:

Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers

Identification Number:

doi:10.7910/DVN/YYIEGC

Authoring Entity:

Lingjie Hu (Wuhan University)

Biyu Chen (Wuhan University)

Distributor:

Harvard Dataverse

Access Authority:

Spatial Data Lab

Depositor:

China Data Lab

Date of Deposit:

2022-07-20

Holdings Information:

https://doi.org/10.7910/DVN/YYIEGC

Study Scope

Keywords:

Computer and Information Science, Earth and Environmental Sciences, Social Sciences, Computer and Information Science, Earth and Environmental Sciences, Social Sciences

Abstract:

A KNIME-based case study applied the linear programming(LP) method to examine the issue of wasteful commuting in Columbus, Ohio; an example of allocating healthcare providers in Baton Rouge, Louisiana to illustrate the implementation of a location-allocation problem. The case study comes from the book, Quantitative Methods and Socioeconomic Applications in GIS, Fahui Wang, 2nd edition.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers.pdf

Text:

Data Science Training Webinars_Spatiotemporal Simulation_04

Notes:

application/pdf