Innovative Research Award
Yakup Turgut
Kırklareli University: Kirklareli Universitesi, Turkey
| Yakup Turgut | |
|---|---|
| Affiliation | Kırklareli University |
| Country | Turkey |
| Scopus Author ID | 58059973400 |
| Documents | 10 |
| Citations | 145 |
| h-index | 5 |
| Subject Area | Complex Systems |
| Event | Engineering Scientist Awards |
Yakup Turgut is a researcher affiliated with Kırklareli University in Turkey whose research profile, as supplied for this recognition article, includes 10 documents, 145 citations, and an h-index of 5. His research interests include complex systems and computational approaches to urban dynamics. A notable publication is Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions, co-authored with Sanja Lazarova-Molnar and published in Cities in 2025. The article develops an expanded agent-based representation of urban segregation by incorporating different urban hubs, individual preferences, social interactions, and policy interventions. [1]
Abstract
Yakup Turgut’s research includes work on complex urban systems and agent-based modeling. His publication Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions presents an expanded version of Schelling’s segregation model. The study represents urban environments through different categories of hubs, including economic, educational, cultural, and green spaces, and models agents according to their preferences and movement decisions. It also incorporates survey-based behavioral information and examines how policy interventions can affect patterns of segregation and resident well-being. [1]
Keywords
Complex systems; agent-based modeling; urban segregation; urban dynamics; hub-based representation; social interactions; residential preferences; policy interventions; computational modeling; urban planning.
Introduction
Research into complex systems frequently examines how individual components and their interactions can generate larger-scale patterns. Urban environments provide an important setting for this type of analysis because residential choices, social interactions, spatial structures, and public policies may interact over time. Turgut’s research addresses these dynamics through computational and agent-based approaches, with particular attention to the mechanisms underlying urban segregation. [1]
Research Profile
The supplied bibliometric profile identifies Yakup Turgut with Scopus Author ID 58059973400, 10 documents, 145 citations, and an h-index of 5. The stated subject area for this recognition profile is Complex Systems. These metrics are presented as supplied data and should be interpreted in relation to the database coverage, indexing date, document types, and citation-update cycle used by the relevant bibliographic service.
Research Contributions
The central documented contribution associated with Turgut’s highlighted publication is the development of a more granular agent-based representation of urban segregation. The model introduces distinct hub categories representing economic, educational, cultural, and green-space environments, allowing simulated agents to respond to different urban characteristics. [1]
- Development of an expanded Schelling-based segregation model for heterogeneous urban environments. [1]
- Representation of economic, educational, cultural, and green-space hubs within an urban simulation framework. [1]
Publications
A highlighted publication associated with the profile is the following peer-reviewed journal article:
- Turgut, Y., & Lazarova-Molnar, S. (2025). Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions.
Research Impact
The research described in the highlighted publication contributes to the computational study of urban segregation by connecting individual preferences, social interactions, and spatial characteristics within an agent-based framework. The approach is relevant to research on urban dynamics because it allows researchers to investigate emergent patterns produced by interacting agents rather than examining residential distribution only as a static outcome. [1]
Award Suitability
For the Engineering Scientist Awards, the documented research profile provides several identifiable areas relevant to an Innovative Research Award. The highlighted publication demonstrates an application of agent-based computational modeling to a complex urban problem and combines heterogeneous preferences, social interactions, spatial hubs, empirical survey information, and policy scenarios within a single analytical framework. [1]
- Research relevance to complex systems and computational modeling.
- Documented use of an extended agent-based modeling framework.
Conclusion
Yakup Turgut’s supplied research profile combines quantitative bibliometric indicators with documented work in complex systems and agent-based modeling. His co-authored article in Cities presents a structured computational approach to urban segregation that incorporates multiple urban hubs, agent preferences, social interactions, and policy interventions. [1] The work provides a specific example of how computational modeling can be used to investigate interactions within complex urban environments.
External Links
References
- Turgut, Y., & Lazarova-Molnar, S. (2025). Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions.
- University of Southern Denmark Research Portal. Turgut, Y., & Lazarova-Molnar, S. (2025). Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions.
- Karlsruhe Institute of Technology. Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions and policy interventions.
- Elsevier. Scopus author details: Yakup Turgut, Author ID 58059973400. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=58059973400