xinyue ye

Professor

Texas A&M University

United States

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Professor Xinyue Ye is a faculty member at Texas A&M University in the United States. Her research encompasses artificial intelligence applications in urban planning, big data analytics, and geographical analysis, as highlighted in her recent publications. Professor Ye is particularly focused on enhancing population data granularity, flood mitigation governance, and the implications of autonomous vehicles in rural communities.

Articles (21)

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2024

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2023

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2023

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2022

Collaborators (9)

Tan Yigitcanlar

Professor

Queensland University of Technology

AUSTRALIA

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Julia Hastings

Associate Professor

University at Albany, State University of New York

UNITED STATES

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Tomoko Udo

UNITED STATES

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Bahar Dadashova

Texas A&M University Transportation Institute

UNITED STATES

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Wenda Li

Queensland University of Technology

AUSTRALIA

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Yu Han

Assistant Professor

University of Twente

NETHERLANDS

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Jiahe Bian

Assistant Professor

University of Cincinnati

UNITED STATES

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Betty Lin

UNITED STATES

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Xiao Huang

Assistant Professor

Emory University

UNITED STATES

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xinyue ye

Research Interests

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About

Articles (21)

Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations

Developing campus digital twin using interactive visual analytics approach

A multi-hierarchical method to extract spatial network structures from large-scale origin-destination flow data

An integrated space–time framework for linkage discovery of big survey data

Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data

Retreat from flood zones: Simulating land use changes in response to compound flood risk in coastal communities

Small and rural towns’ perception of autonomous vehicles: insights from a survey in Texas

Smartphone usage and daily trips: an empirical study of small and rural communities in Texas

Unraveling the impact of urban form on location's irreplaceability: An analysis from the perspective of spatiotemporal heterogeneity

The Research Landscape of AI in Urban Planning: A Topic Analysis of the Literature with ChatGPT

Enhancing population data granularity: A comprehensive approach using LiDAR, POI, and quadratic programming

Sustainable poverty reduction models for the coordinated development of the social economy and environment in China

Social Drivers of Mental Health: A U.S. Study Using Machine Learning

Toward Urban Artificial Intelligence for Developing Justice-Oriented Smart Cities

Immersive Experience and Climate Change Monitoring in Digital Landscapes: Evidence from Somatosensory Sense and Comfort

Contemplating Reparations of Indigenous Peoples

Equitable active transport

Exploring flood mitigation governance by estimating first-floor elevation via deep learning and google street view in coastal Texas

Exploring the rules of cropland elevation uplift in China

Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm

Developing Human-Centered Urban Digital Twins for Community Infrastructure Resilience: A Research Agenda

Collaborators (9)

Tan Yigitcanlar

Julia Hastings

Tomoko Udo

Bahar Dadashova

Wenda Li

Yu Han

Jiahe Bian

Betty Lin

Xiao Huang

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