Yüksek Şeref Lisans Bitirme Tezleri

Locating disaster response facilities in Izmir (best thesis award)

Abstract

This undergraduate thesis proposal aims to propose the use of the Dijkstra algorithm to locate disaster response facilities in the cityof Izmir, Turkey, which is frequently exposed to natural disasters due to the

presence of several fault lines. The study's motivation comes from the need to improve the city's preparedness and response to natural disasters, especially earthquakes. The proposed research will utilize the OpenStreetMap database and the PostgreSQL database management system, along with PostGIS and pgrouting extensions, and Dijkstra's algorithm to identify the most effective locations for

disaster response facilities, taking into account various factors such as proximity to high-risk areas, ease of access, and hospital locations. The study's outcome was the location identification of disaster response

facilities. This study's significance lies in its potential to contribute to effective disaster response planning in Izmir and provide valuable insights for policymakers and decision-makers.

Keywords: Disaster preparedness and response, facility location, shortest-path algorithm

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The Relationship between Inflation and Economic Growth in Türkiye

Abstract

In this study, the relationship between inflation and economic growth in Türkiye was examined within the framework of the data covering the 2001:1-2022:3 periods. Time series techniques were used as an econometric method in the study. Stationarity analysis was performed for the inflation rate and real GDP growth variables. For this analysis, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests were used. As a result of the unit root tests, it was determined that the series of real GDP growth and inflation rate were stationary at level values and first differences. A single cointegration analysis was made between the inflation rate and economic growth and it was found that the series acted dependent on each other in the long run. Granger Causality Analysis was performed using the estimated Vector Autoregressive (VAR) method. According to the results of the Granger causality test, a causal relationship between the inflation rate and economic growth could not be found. The finding concluded that inflation has not affected economic growth and at the same time, the hypothesis of a unidirectional causal relationship from inflation to economic growth could not be supported.

Keywords: Inflation, Economic Growth, Granger Causality Analysis

JEL Classification: C32, E31, F43, F47

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