Tan Yigitcanlar

Dados Biográficos

ID1102982
NOMETan Yigitcanlar
PRENOMESTan
SOBRENOMEYigitcanlar
ASSINATURAYIGITCANLAR T
AFILIAÇÕESQueensland University of Technology
ORCID0000-0001-7262-7118
VERIFICADOSim
TOTAL DE OBRAS122
TOTAL DE CITAÇÕES275
TOTAL COMO AUTOR119
TOTAL COMO EDITOR3
PRIMEIRO ANO DE PUBLICAÇÃO2004
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H10

  • Public support for AI-enabled local government services

    Open AccessSajani Senadheera, Tan Yigitcanlar et al.ARTICLESustainable Cities and Society2026

    AI is increasingly embedded in local government systems, shaping how cities organise, automate, and govern public services. However, public support for AI-enabled services remains uneven across governance contexts, raising critical questions for responsible and sustainable urban innovation. This study investigates how citizens in Australia, Hong Kong, and Saudi Arabia evaluate different AI modalities in municipal service delivery, and how these e…

  • UAV-Enabled Intelligent Curbside Monitoring

    Open AccessZiang Chen, Haoyi Pei et al.ARTICLESustainable Cities and Society2026

  • Safe-City-Ai

    Open AccessSk Tahsin Hossain, Tan Yigitcanlar et al.ARTICLECities2026

    AI-enabled surveillance technologies are increasingly deployed at mega sporting events to support crowd management, security screening, access control, and real-time operational decision-making, often as part of broader smart city strategies aimed at enhancing urban efficiency and public safety. Despite their rapid uptake, existing research remains fragmented across technical, organisational, and ethical domains, offering limited guidance on how …

  • Advancing sustainable construction

    Open AccessMassimo Regona, Tan Yigitcanlar et al.ARTICLESustainable Cities and Society2026

    The transition towards sustainable built environments increasingly depends on the effective integration of AI in construction. While AI can support productivity, safety, decision-making and resource efficiency, its adoption in construction remains fragmented across organisations, projects and professional workflows. This study develops and empirically validates a trust-enhanced Technology Acceptance Model (TAM) to explain AI adoption and realised…

  • AIoT-enabled platform urbanism for smart city management

    Open AccessSk Tahsin Hossain, Tan Yigitcanlar et al.ARTICLEComputational Urban Science2026

    Urban environments are increasingly complex, dynamic, and data-intensive, requiring advanced spatial intelligence to support proactive, evidence-based governance. Current smart city and urban informatics platforms are limited by static datasets, siloed architectures, and underutilised AI capabilities. This study proposes and demonstrates a novel AIoT-enabled platform architecture for built environment mapping and spatial decision support. Anchore…

  • Planning beyond 2032

    Open AccessTan Yigitcanlar, Wenda Li et al.ARTICLEAustralian Planner2026

    The 2032 Olympic and Paralympic Games represent not only a pivotal moment to shape the future of Brisbane; they represent an unprecedented opportunity to rethink how Australian cities plan and build beyond short-term needs to achieve equitable urban futures. This viewpoint advocates that Brisbane can be at the forefront of this transformational change by pursuing resilient and climate-ready infrastructure, inclusive and connected communities, rev…

  • Rethinking impact assessment for Olympic mega-events

    Open AccessUmberto Baresi, Tan Yigitcanlar et al.ARTICLEEnvironmental Impact Assessment…2026

    With six years remaining until the Brisbane 2032 Olympic and Paralympic Games, this viewpoint examines whether conventional impact assessment approaches are adequate for governing the cumulative, cross-scalar, and long-term impacts of mega-events. The Olympic and Paralympic Games generate governance and assessment challenges that extend beyond the scope of traditional project-based environmental impact assessment (EIA), including multiple interde…

  • Surveilled urban futures

    Open AccessTan Yigitcanlar, Abdulrazzaq Shaamala et al.ARTICLEUrban Studies2026

    Urban AI is increasingly embedded in the governance of security, mobility, and everyday life through sensors, cameras, and algorithmic systems promoted under smart city agendas. While these technologies promise efficiency and protection, their rapid normalisation raises tensions between security, democratic accountability and individual freedom. This commentary critically examines AI-enabled urban surveillance as a contemporary mode of statecraft…

  • Are AI narratives on smart cities realistic? Content and sentiment analysis on popular YouTube discourse

    Open AccessSajani Senadheera, Abdulrazzaq Shaamala et al.ARTICLEAI & Society2026

  • The next frontier of generative intelligence in smarter eco-cities

    Open AccessSimon Elias Bibri, Jeffrey Huang et al.ARTICLESustainable Cities and Society2026

    Provides the first cross-domain systematic synthesis of generative, hybrid, and mixed architectures for smarter eco-city intelligence. • Reveals distinct functional roles of GANs, VAEs, DMs, and transformers across urban–environmental systems. • Identifies a methodological shift from standalone models to integrated, multi-layered architectures enabling cross-system intelligence. • Proposes a novel hierarchical conceptual framework linking model c…

  • Augmenting urban planning with computer vision

    Open AccessRaveena Marasinghe, Tan Yigitcanlar et al.ARTICLESustainable Cities and Society2026

    Computer vision (CV) uncovers hidden patterns, advancing evidence-based urban planning decisions • CV aids urban planning visualisation and automated urban planning and design processes • Machine learning algorithms complement CV, improving classification and modelling tasks • Convolutional neural networks enable CV to excel in classifying diverse urban environment data • CV facilitates more informed decision-making, and advancing urban planning …

  • Configurational pathways to smart city AI adoption

    Open AccessTan Yigitcanlar, Ke Liu et al.ARTICLECities2026

    Despite increasing policy attention and technological progress, AI adoption in smart city governance and local governments remains uneven. While previous studies have identified individual drivers of adoption, limited research has examined how multiple factors interact to enable or constrain implementation. Drawing on the technology-community-policy framework, this study employs fuzzy-set qualitative comparative analysis to investigate configurat…

  • Social economy and social innovation across diverse contexts

    Open AccessJinhyo Joseph Yun, Xiaofei Zhao et al.ARTICLECities2026Referências: 30

  • Navigating urban climate design implementation challenges

    Open AccessYiSong Liu, Mirko Guaralda et al.ARTICLEJournal of Urban Design2025

    Urban densification, intended to enhance efficiency, often exacerbates urban climate issues like diminished thermal and wind comfort. Despite substantial evidence on the climatic impacts of urbanization, integrating this knowledge into development practices remains difficult. This study investigates urban climate design in Brisbane, Australia through semi-structured interviews with built environment professionals. A qualitative thematic analysis …

  • Urban planning and IPCC-like city assessments integration for climate-resilient cities

    Open AccessXinyue Ye, Tan Yigitcanlar et al.ARTICLEEnvironment and Planning B Urban…2025

    The rapidly intensifying effects of climate change on urban settlements demand that cities move to the forefront of resilience planning. Climate extremes, from heatwaves to flooding, are increasingly testing the adaptability limits of urban systems and the vulnerability of their populations. Recognizing the unique position of cities, the IPCC’s seventh assessment cycle has prioritized urban areas in its upcoming Special Report on Climate Change a…

  • Leveraging urban AI for high-resolution urban heat mapping

    Open AccessAbdulrazzaq Shaamala, Niklas Tilly et al.ARTICLEEnvironment and Planning B Urban…2025

    Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks to public health and undermine the sustainability of cities. Effective UHI management requires high-resolution and timely mapping of urban temperature patterns to guide interventions. Traditional methods for urban heat mapping often lack the spatial accuracy and effic…

  • Systems-based approach to public electric vehicle supply equipment expansion

    Open AccessNiklas Tilly, Tan Yigitcanlar et al.ARTICLESustainable Cities and Society2025

    The lack of charging stations and the associated range anxiety remain the most cited barriers to Electric Vehicle (EV) adoption in cities despite ongoing efforts by public and private organisations. Policies outline detailed requirements and plan for the expansion of Electric Vehicle Supply Equipment (EVSE), however, comprehensive insights into the challenges identified and strategies developed remain scarce. This study analyses over 100 policies…

  • Mapping heat vulnerability in Australian capital cities

    Open AccessFei Li, Tan Yigitcanlar et al.ARTICLESustainable Cities and Society2025

    Pioneers machine learning with multi-source data to improve heat vulnerability assessments. • The random forest model exhibited superior accuracy with high R2 in training and testing. • Urban areas demonstrated greater heat vulnerability than suburban and rural zones. • Health conditions, age, and education were the dominant heat vulnerability factors. • These findings support targeted mitigation policies and adaptation strategies. Heat vulnerabi…

  • Cybersecurity in local governments

    Open AccessSk Tahsin Hossain, Tan Yigitcanlar et al.ARTICLEUrban Governance2025

  • Quantum AI Urbanism

    Open AccessTan Yigitcanlar, Sk Tahsin Hossain et al.ARTICLEJournal of Urban Technology2025

  • Machine learning applications for urban geospatial analysis

    Open AccessAbdulrazzaq Shaamala, Tan Yigitcanlar et al.ARTICLECities2025

    The application of machine learning (ML) in geospatial analysis has witnessed a significant upsurge, particularly in the last five years. This surge is linked to exponential developments in artificial intelligence (AI) technologies and the extensive demand for their applications in geospatial analysis fields such as urban and environmental studies and planning. Given these rapid developments, understanding the capabilities and applications of ML …

  • Artificial Intelligence in urban design

    Open AccessTianchen Huang, Xinyue Ye et al.ARTICLECities2025Referências: 1

  • Public perceptions of responsible AI in local government

    Open AccessAnne David, Tan Yigitcanlar et al.ARTICLEGovernment Information Quarterly2025Citada por: 1Referências: 12

  • Algorithmic urban greening for thermal resilience

    Open AccessAbdulrazzaq Shaamala, Tan Yigitcanlar et al.ARTICLECities2025Referências: 1

  • Tracing post-capitalism in cities

    Open AccessJinhyo Joseph Yun, Xiaofei Zhao et al.ARTICLECities2025Citada por: 1Referências: 7