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Konya developed as a city with a single centre in historical period, the mound (höyük) known as Alaeddin’s Hill. This is still the central feature of the urban settlement of Konya. The tomb of the great humanist, poet and philosopher, Mevlana Celaleddin-i Rumii, is also here. The most prestigious section of Konya during the Seljuk and Ottoman periods was the Konya Türbeönü, the space in front of his tomb. The historical city centre maintains its liveliness in the area between Alaeddin’s Hill and the tomb of Mevlana. This historical city centre is the most accessible area in the city and functions fully as such while bearing its historical identity.

The transformation of Konya from single-centred city to multi-centred city resulted in considerable changes in the city’s silhouette. The Konya Türbeönü Square was redesigned and presented for use. While defining the effect of outdoor spaces on human life, they are evaluated as places that meet basic physical, social and psychological requirements. Since the planning process of the Konya Türbeönü Square was not participative, it has remained a focal point of intense discussions and debates about its meeting users’ needs have arisen.

This article studies user satisfaction with the design of the Konya Türbeönü Square and investigates the effects of changes on users. The study survey, asked for demographical information about the users, the sensorial effects of the outdoor space, the effects of its landscape and general satisfaction. The questionnaire was administered to 300 people, including 100 architects who are educated in designing, shopkeepers who are interaction with this area everyday and laypersons. Evaluating the questionnaire data revealed the physical landscape quality and the behavioural and functional qualities of the users along with the visual qualities of the historical urban square’s former/older condition. This study aims to show how participative planning can improve future projects.

Previous research has been unable to provide a comprehensive method for measuring environment-based experience and its outcomes although it is an essential determinant of the museum experience. Therefore, this paper aims to present a measurement method for exploring how visitors’ servicescape experiences affect their positive word-of-mouth intention (PWOM).

Data were collected by surveying 810 visitors to 3 museums (i.e. Louvre, Pera and Key) representing different museum types. The research model was validated by using partial least squares structural equation modeling.

The predicted associations between sensory, spatial and social experiences, and PWOM were confirmed for Pera. In the Louvre and Key, however, only sensory and social experiences were positively associated with PWOM. In addition, the moderating effect of building type on the relationship between spatial experience and PWOM was demonstrated.

This paper contributes to the servicescape, customer experience and museum literature in several ways. Firstly, this study proposes a measurement method for servicescape experiences. Secondly, this study introduces servicescape experiences as new types of customer experience. Thirdly, this study provides insightful implications for the museum literature and professionals by highlighting how servicescape experiences affect PWOM across different types of museums.

The main aim of this study is to determine the fracture toughness and accordingly to predict the fracture initiation, crack propagation and mode of crack extension accurately in polypropylene subsea pipes subjected to internal pressure.

Tensile test was performed following the ISO 527–1 standard. An elastic-plastic constitutive model was developed based on the tensile test results, and it is implemented in the FEA model to describe the constitutive behaviour of the polypropylene material. Three-point bend tests with linear-elastic fracture mechanics (LEFM) approach were conducted following ISO-13586 standard, from which the average fracture toughness of the polypropylene pipe material in crack-opening mode was found as KIc = 3.3 MPa√m. A numerical model of the experiments is developed based on the extended finite element method (XFEM), which showed markedly good agreement with the experimental results.

The validated XFEM modelling approach is utilised to illustrate its capabilities in predicting fracture initiation and crack propagation in a polypropylene subsea pipe subjected to an internal pressure containing a semi-elliptical surface crack, which agrees well with existing analytical solutions. The XFEM model is capable of predicting the crack initiation and propagation in the polypropylene pipe up to the event of leakage.

The methodology proposed herein can be utilised to assess the structural integrity and resistance to fracture of subsea plastic pipes subjected to operational loads (e.g. internal pressure).

As media texts, advertisements use representation practices to construct ideological meanings. This study traced the representation of the worker in advertisements with the help of content and thematic analysis. The study aimed to reveal the representation of the worker in the advertisements and to make the representations of the worker built through advertisements visible. The study was limited to ads that received an Effie Award in Turkey in 2020 and 2021. In the 2020 Effie Awards, 73 awards were given in 41 categories and in the 2021 Effie Awards, 68 awards were given in 42 categories. Content analysis was applied to 24 advertisements in 2020 and 31 advertisements in 2021. The quantitative data helped to determine the themes in the thematic analysis. Thematic analysis was carried out by regarding the worker as the (in)visible, the (un)voiced, and the bypassed. This study, which reveals that the worker is represented in advertisements through being invisible, unvoiced, and bypassed, claims that the labor of the worker in the production process is ignored through representation practices. In this context, it can be said that the worker is erased and omitted in TV ads on a symbolic level.

By considering the rapid and continuous increase of housing prices in Turkey recently, this study aims to examine the determinants of the residential property price index (RPPI). In this context, a total of 12 explanatory (3 macroeconomic, 8 markets and 1 pandemic) variables are included in the analysis. Moreover, the residential property price index for new dwellings (NRPPI) and the residential property price index for old dwellings (ORPPI) are considered for robustness checks.

A quantile regression (QR) model is used to examine the main determinants of RPPI in Turkey. A monthly time series data set for the period between January 2010 and October 2020 is included. Moreover, NRPPI and ORPPI are examined for robustness.

Predictions for RPPI, NRPPI and ORPPI are carried out separately at the country (Turkey) level. The results show that market variables are more important than macroeconomic variables; the pandemic and rent have the highest effect on the indices; The effects of the explanatory variables on housing prices do not change much from low to high levels, the COVID-19 pandemic and weighted average cost of funding have a decreasing effect on indices while other variables have an increasing effect in low quantiles; the pandemic and monetary policy indicators have a negative and significant effect in low quantiles whereas they are not effective in high quantiles; the results for RPPI, NRPPI and ORPPI are consistent and robust.

The results of the study emphasize the importance of the pandemic, rent, monetary policy indicators and interest rates on the indices, respectively. On the other hand, focusing solely on Turkey and excluding global variables is the main limitation of this study. Therefore, the authors encourage researchers to work on other emerging countries by considering global variables. Hence, future studies may extend this study.

The COVID-19 pandemic and market variables are determined as influential variables on housing prices in Turkey whereas macroeconomic variables are not effective, which does not mean that macroeconomic variables can be fully ignored. Hence, the main priority should be on focusing on market variables by also considering the development in macroeconomic variables.

Emerging countries can make housing prices stable and affordable, which will increase homeownership. Hence, they can benefit from stability in housing markets.

The QR method is performed for the first time to examine housing prices in Turkey at the country level according to the existing literature. The results obtained from the QR analysis and policy implications can also be used by other emerging countries that would like to increase homeownership to provide better living conditions to citizens by making housing prices stable and keeping them under control. Hence, countries can control housing prices and stimulate housing affordability for citizens.

This paper aims to explore the personal and academic growth of A. Fuat Firat as one example of his academic life.

This is a more personal history, in addition to the 2014 academic history of A. Fuat Firat