Optimizing the spatial relocation of hospitals to reduce urban traffic congestion: A case study of Beijing-Reference-Cited by-同舟云学术

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Optimizing the spatial relocation of hospitals to reduce urban traffic congestion: A case study of Beijing

Published:2019-04 Issue:2 Volume:23 Page:365-386
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Wang Yuxia¹^ORCID,Tong Daoqin²^ORCID,Li Weimin³,Liu Yu¹

Affiliation:

1. Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences Peking University China

2. School of Geographical Sciences and Urban Planning Arizona State University USA

3. School of Economics Liaoning University China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12524

Reference96 articles.

1. An efficient tabu search for solving the uncapacitated single allocation hub location problem

2. An Efficient Branch and Bound Algorithm for the Capacitated Warehouse Location Problem

3. Using spike model to reduce traffic congestion and improve public transportation in Malaysia

4. Multi-commodity warehouse location and distribution planning with inventory consideration

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