Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

20252

Settings

Author: search.filters.author.Kesmez, Firat Enver

Search Results

Now showing 1 - 2 of 2
  • Book Part
    Citation - Scopus: 1
    Micromobility Data Need and Data Use
    (Springer International Publishing Ag, 2025) Uz, Volkan Emre; Kesmez, Firat Enver; 01. Izmir Institute of Technology; 03.03. Department of Civil Engineering; 03. Faculty of Engineering
    In micromobility studies, data plays an important role, enabling the assessment of many aspects of mobility. Various data types are used to explore areas such as safety, policy evaluation, urban planning, and environmental sustainability. This chapter reviews the primary data types, sources, and collection methods in micromobility studies, including sensor data, surveys, field observations, built environment data, and archival data sources. Sensor data, such as mobile phone GPS and vehicle sensors, provide detailed insights intomobility patterns and environmental conditions but lack socio-demographic information. Surveys and observations are the primary data sources for user behavior and use of infrastructure. Built environment data examines factors like density, diversity, and design influencing micromobility. Archival data, including media reports and public records, are crucial for policy analysis and safety evaluations. The chapter also includes common practices in data preprocessing to enhance data accuracy, supporting researchers in advancing micromobility studies.
  • Article
    Estimating the Impact of New Rail Service on Travel Behaviour of Current Bus Passengers Using Smart Card Data
    (Taylor & Francis Ltd, 2025) Kesmez, Firat Enver; Uz, Volkan Emre; Uz, Volkan Emre; 03.03. Department of Civil Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    Estimating the impact of new public transportation infrastructure is essential for network efficiency. This study uses one weekday of smart card data to estimate the impact of planned rail service on bus passengers' travel behaviour. Using the metro extension project in the metropolitan city of & Idot;zmir, T & uuml;rkiye as a case study, we developed a methodology involving a trip chaining algorithm, inter-route relationship analysis, and travel time calculations. Our estimations show that about 55% of bus passengers are shifting due to a significant reduction in travel time, while 20% find using the extension impractical, necessitating continued bus service. The rest of the bus passengers can potentially be inclined to use new infrastructure by improving the transfer conditions, underlining the potential focus for planners to increase the use of the new service. Our research offers valuable insights for policymakers and planners, ensuring the adaptation of transportation systems to meet changing travel behaviour.