Journals / Trakya Üniversitesi Sosyal Bilimler Dergisi / 2026 / Cilt: 28 Sayı: 1

The Effect of Population and Weather Conditions on Ambulance Demand: A Panel Data Analysis

Nüfus ve Hava Koşullarının Ambulans Talebi Üzerindeki Etkisi: Bir Panel Veri Analizi

Pages
128–136
Publication Date
2026-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study provides valuable information on interactions between population, weather and emergency services demand, with practical implications for policy makers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:It is crucial to understand factors affecting ambulance call volumes to improve resource allocation.
📊
Key Findings & Data:Fixed effects and random effects models were applied using panel data from six districts of Ankara over 36 months on population, call volumes and weather conditions.
💡
Conclusion & Impact:This study provides valuable information on interactions between population, weather and emergency services demand, with practical implications for policy makers.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Uygulamalı Ekonometri · Ambulans · Acil Sağlık Hizmetleri

Abstract

It is crucial to understand factors affecting ambulance call volumes to improve resource allocation. The aim of this study is to explore the impact of population and weather conditions on the call volumes. Fixed effects and random effects models were applied using panel data from six districts of Ankara over 36 months on population, call volumes and weather conditions. Population size was positively associated with calls, with a 1% increase in population leading to a 0.46% increase in calls. Higher maximum temperatures decreased call volumes; higher minimum temperatures led to an increase in calls. There were more calls made in rainy conditions. Humidity and maximum wind speed are not statistically significant. The study emphasizes the importance of considering population and weather conditions in planning and managing emergency medical services. This study provides valuable information on interactions between population, weather and emergency services demand, with practical implications for policy makers.

Özet

Kaynak tahsisini ve verimliliği artırmak için ambulans çağrı hacimlerini etkileyen faktörleri anlamak çok önemlidir. Bu çalışmanın amacı, nüfus ve hava koşullarının çağrı hacimleri üzerindeki etkisini araştırmaktır. Ankara’nın altı ilçesinden 36 aylık nüfus, çağrı hacimleri ve hava koşullarına ilişkin panel verileri kullanılarak sabit etkiler ve rastgele etkiler modelleri uygulanmıştır. Nüfus büyüklüğü çağrılarla pozitif ilişkili olup; nüfustaki %1’lik artış çağrılarda %0,46’lık bir artışa neden olmaktadır. Daha yüksek maksimum sıcaklıklar çağrı hacimlerini azaltırken, daha yüksek minimum sıcaklıklar çağrılarda artışa yol açmıştır. Yağışlı koşullarda daha fazla çağrı yapılmıştır. Nem ve maksimum rüzgâr hızı istatistiksel olarak anlamlı bulunmamıştır. Çalışma, acil sağlık hizmetlerinin planlanması ve yönetilmesinde nüfus ve hava koşullarının dikkate alınmasının önemini vurgulamaktadır. Bu çalışma, nüfus, hava durumu ve acil durum hizmetleri talebi arasındaki etkileşimler hakkında değerli bilgiler sunmakta ve politika yapıcılar için pratik çıkarımlar sağlamaktadır.

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Cite This Article

Erbay, E. (2026). The Effect of Population and Weather Conditions on Ambulance Demand: A Panel Data Analysis. Trakya Üniversitesi Sosyal Bilimler Dergisi, Cilt: 28 Sayı: 1, 128–136. https://ajindex.com/articles/1132204

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References (14)

  1. Anderson, P., Petrino, R., Halpern, P., & Tintinalli, J. (2006). The globalization of emergency medicine and its importance for public health. Bulletin of the World Health Organization, 84(10), 835-839.
  2. Andrew, E., Nehme, Z., Cameron, P., & Smith, K. (2020). Drivers of increasing emergency ambulance demand. Prehospital Emergency Care, 24(3), 385-393.
  3. Booker, M. J., Shaw, A. R., & Purdy, S. (2015). Why do patients with ‘primary care sensitive’problems access ambulance services? A systematic mapping review of the literature. BMJ open, 5(5), e007726.
  4. Erbay, E. (2023). Ambulance Demand Forecasting: A Systematic Review of Existing Models. The Journal of Theory and Practice in Healthcare, 4(1), 65-77.
  5. Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the econometric society, 1251-1271.
  6. Henningsen, A., & Henningsen, G. (2019). Analysis of panel data using R. In Panel data econometrics (pp. 345-396). Elsevier.
  7. Juhrmann, M. L., Grindrod, A. E., & Gage, C. H. (2023). Emergency medical services: the next linking asset for public health approaches to palliative care? Palliative Care and Social Practice, 17, 26323524231163195.
  8. Lowthian, J. A., Cameron, P. A., Stoelwinder, J. U., Curtis, A., Currell, A., Cooke, M. W., & McNeil, J. J. (2011). Increasing utilisation of emergency ambulances. Australian Health Review, 35(1), 63-69.
  9. Peacock, P. J., & Peacock, J. L. (2006). Emergency call work-load, deprivation and population density: an investigation into ambulance services across England. Journal of public health, 28(2), 111-115.
  10. Ramgopal, S., Dunnick, J., Owusu-Ansah, S., Siripong, N., Salcido, D. D., & Martin-Gill, C. (2019). Weather and temporal factors associated with use of emergency medical services. Prehospital Emergency Care, 23(6), 802-810.
  11. Sungur, M. A., & Karabulut, E. (2024). Conscious and Correct Use of Biostatistical Methods in Medical Researches: From Planning to Reporting the Results-Part II. Duzce Medical Journal, 26(3), 183-190.
  12. Thornes, J. E., Fisher, P. A., Rayment-Bishop, T., & Smith, C. (2014). Ambulance call-outs and response times in Birmingham and the impact of extreme weather and climate change. Emergency Medicine Journal, 31(3), 220-228.
  13. Wong, H., & Lai, P. (2012). Weather inference and daily demand for emergency ambulance services. Emergency Medicine Journal, 29(1), 60-64.
  14. Yerdelen Tatoğlu, F. (2021). Panel Veri Ekonometrisi [Panel Data Econometrics] (6th ed.). Beta Publishing.