Data analytics for improved closest hospital suggestion for EMS operations in New York City-Reference-Cited by-同舟云学术

Data analytics for improved closest hospital suggestion for EMS operations in New York City

Published:2022-11 Issue: Volume:86 Page:104104
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Olivier Audrey^ORCID,Adams Matt^ORCID,Mohammadi Sevin,Smyth Andrew^ORCID,Thomson Kathleen,Kepler Timothy^ORCID,Dadlani Monish

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference28 articles.

1. Map data integration technique with large-scale fleet telematics data as road safety surrogate measures in the New York metropolitan area;Alrassy,2020

2. OBD-data-assisted cost-based map-matching algorithm for low-sampled telematics data in urban environments;Alrassy;IEEE Transactions on Intelligent Transportation Systems,2021

3. APCO International, (2015), Multi-Functional Multi-Discipline Computer Aided Dispatch (CAD) Minimum Function Requirements standard. https://www.apcointl.org/~documents/standard/11101-2015-multifunctional-multidiscipline-cad/?layout=default, (accessed May 27, 2022).

4. Ambulance emergency response optimization in developing countries;Boutilier;Operations Research,2020

5. Empirical analysis of ambulance travel times: The case of calgary emergency medical services;Budge;Management Science,2010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. URBAN–RURAL DIFFERENCES IN PRIMARY SCHOOL RESOURCES IN CHINA: A CASE STUDY OF YUNCHENG COUNTY;International Journal of Strategic Property Management;2023-06-05

2. Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2023-06

3. Bayesian neural networks with physics‐aware regularization for probabilistic travel time modeling;Computer-Aided Civil and Infrastructure Engineering;2023-05-22

4. Property Category Prediction Model using Random Forest Classifier to Improve Property Industry in Surabaya;Proceedings of the Business Innovation and Engineering Conference (BIEC 2022);2023