Human Mobility and Location-Based Analysis

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İnsan hareketliliği, kentlerin demografik ve ekolojik altyapılarını derinden etkileyerek yerel yönetimleri kapsayıcı ve sürdürülebilir politikalar üretmeye zorlamaktadır. Bu çalışmanın amacı, yerel yönetimlerin stratejik planlarında göç ve peyzaj politikalarının entegrasyonunu yapay zeka destekli istatistiksel metin a…

Existing studies suggest that remote work may encourage employees to reside farther from workplaces because of reduced commuting frequency, potentially offsetting benefits through longer trips. This study introduces a novel partial equilibrium model demonstrating that teleworkers’ residential preferences depend critic…

With AI-as-a-Service (AIaaS) now deployed across multiple providers and model tiers, selecting the appropriate model instance at run time is increasingly outside the end user's knowledge and operational control. Accordingly, the 6G service providers are envisioned to play a crucial role in exposing AIaaS in a setting…

With AI-as-a-Service (AIaaS) now deployed across multiple providers and model tiers, selecting the appropriate model instance at run time is increasingly outside the end user's knowledge and operational control. Accordingly, the 6G service providers are envisioned to play a crucial role in exposing AIaaS in a setting…

Cellular network design, optimization, and performance benchmarking have traditionally depended on proprietary datasets collected by mobile network operators (MNOs), constraining independent research and limiting replicability. This paper introduces an operator-agnostic modeling framework for synthetic cellular networ…

Occupancy modeling aims to represent the diversity of occupant behavior in buildings, thus, accurate modeling of occupancy is essential for understanding household dynamics and energy-related interactions in residential buildings, as well as for their use in building performance applications. The central contribution…

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This study develops a sentiment analysis-based personalized travel destination prediction system using 12.57 million user reviews from the online accommodation platform Airbnb. The proposed system operates on a dataset covering 20 European cities through a five-stage pipeline: (i) data extraction and preprocessing, (i…

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This dataset is derived from an LLM-assisted content analysis of migration-related online news published by six international news organizations (TRT Haber, BBC News, Deutsche Welle [German service], Al Jazeera English, RT, ANSA). Full news texts are not redistributed for copyright reasons; the dataset contains, for e…

This paper investigates temporal and spatial patterns in Istanbul's public transit demand using 96 million hourly passenger records spanning March-October 2024. We develop an analytical pipeline comprising domain driven time window aggregation, predictive modeling, and unsupervised pattern discovery across all major t…