Revitalising neighbourhoods around existing railway and motorway corridors

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: The use of the innovative solutions reduces the environmental, ecological, economic, social and health negative effects of existing, active railway lines and motorways [1] on demonstrator sites, contributing to their revitalisation. Improved adoption of solutions by the stakeholders such as local authorities, inhabitants, architects, engineers, landscape architects or urban planners. Scope: Active railway lines and motorways are an integral part of the European landscape. However, they can be perceived as sources of disturbances such as pollutants, noise and air pollution, invasive alien plants species vectors, potential hazards, etc. Moreover, railways lines and motorway may negatively impact surrounding neighbourhoods [1] through which they pass, making them unsightly, neglected, una… devamı

Architectural designEnvironment, resources and sustainabilityParticipatory/ParticipationSocial Sciences and HumanitiesSocial sciences, interdisciplinaryTransport Railway

1. %47
   HAKAN GÜLER

   ProfesörSakarya Üniversitesi

   Ortak konular: Railway Engineering and Dynamics

   Örtüşen yayınlar: Prediction of railway track geometry deterioration using artificial neural networks a case study for Turkish state railways (2014) · Modelling railway track geometry deterioration (2011)

2. %46
   MEHMET ŞİRİN ARTAN

   Araştırma GörevlisiYıldız Teknik Üniversitesi

   Ortak konular: Railway Systems and Energy Efficiency · Railway Engineering and Dynamics

   Örtüşen yayınlar: Exploring Patterns of Train Delay Evolution and Timetable Robustness (2022) · A stochastic model for reliability analysis of periodic train timetables (2023)

3. %44
   İSMAİL ŞAHİN

   ProfesörYıldız Teknik Üniversitesi

   Ortak konular: Railway Systems and Energy Efficiency · Railway Engineering and Dynamics

   Örtüşen yayınlar: Exploring Patterns of Train Delay Evolution and Timetable Robustness (2022) · A stochastic model for reliability analysis of periodic train timetables (2023)

4. %43
   BERFİN ŞENİK

   Araştırma GörevlisiDüzce Üniversitesi

   Çalışma konuları: Land Use and Ecosystem Services · Urban Green Space and Health · Conservation, Biodiversity, and Resource Management

   Örtüşen yayınlar: Evaluating the impact of mega-projects-induced land-cover changes on habitat quality: a case study of Istanbul (2025) · Açık Yeşil Alan Sistemi Planlanma ve Tasarım Süreçlerinde Millet Bahçelerinin Rolü (2021)

5. %42
   ERDEM BALCI

   Doktor Öğretim ÜyesiZonguldak Bülent Ecevit Üniversitesi

   Ortak konular: Railway Engineering and Dynamics

   Örtüşen yayınlar: Smart Diagnosis And Maintenance Systems For Railway Tracks (2021) · Investigation of Variation of Track Response to Wheel Forces with Bogie Axle Spacing and Introduction of the Concept of Apparent Track Stiffness and its Influence on Dynamic Impact Forces on Railway Tracks (2025)

6. %42
   MEHMET NEDİM YAVUZ

   Doktor Öğretim ÜyesiMaltepe Üniversitesi

   Ortak konular: Railway Engineering and Dynamics · Railway Systems and Energy Efficiency

   Örtüşen yayınlar: Comparison of conventional high speed railway, maglev and hyperloop transportation systems (2021)

7. %40
   CANAN TAŞTİMUR TEMİZ

   Doktor Öğretim ÜyesiErzincan Binali Yıldırım Üniversitesi

   Ortak konular: Railway Engineering and Dynamics

   Örtüşen yayınlar: An Information Extraction Approach with Vehicle and Pedestrian Activity Monitoring for Traffic Management in Smart City (2017) · A Vision Based Condition Monitoring Approach for Rail Switch and Level Crossing using Hierarchical SVM in Railways (2016)

Uyum oranı kodla, her istekte hesaplanır. Çağrı metni (başlık, anahtar kelimeler, resmi açıklamanın başı) şu üç kaynakla karşılaştırılır: akademisyen profiliyle anlamsal yakınlık (%50), YÖKSİS anahtar kelimeleri ve OpenAlex konularındaki ortak ayırt edici terimler (%25) ve yayın içeriği — başlıklar, İngilizce özetler ve bunların Türkçe çevirileri (%25). Çeviriler sayesinde Türkçe çağrılar İngilizce yayınlarla da eşleşir. Yaygın kelimeler düşük ağırlıklıdır; %40 altı gösterilmez. Bir konu önerisidir; başvuru uygunluğu, kapasite ya da başarı değerlendirmesi değildir. Gizli profiller listelenmez.