Anton Rozhkov

Industry Assistant Professor

New York University

United States

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About

Anton Rozhkov is an Industry Assistant Professor at New York University in the United States. His research areas focus on transportation inequality, urban renewable energy systems, and the impacts of the COVID-19 pandemic on electricity consumption patterns. He has published several notable articles, including work on leveraging European policies for energy planning and employing machine learning to analyze census outreach effectiveness. His contributions emphasize the interrelationships between urban travel demand and electricity consumption, particularly within sustainable transitions in urban-rural systems.

Articles (8)

Year:

2025

Year:

2024

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2023

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2023

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2023

Year:

2023

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2023

Year:

2022

Collaborators (3)

Dongwoo Lee

Assistant Professor

Incheon National University

SOUTH KOREA

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Abolfazl Mohammadian

Professor and Department Head

University of Chicago

UNITED STATES

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Sybil Derrible

University of Chicago

UNITED STATES

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Anton Rozhkov

Research Interests

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Articles (8)

Tackling Transportation Inequality through Unveiling Chicago’s Transit Deserts and Vulnerable Communities

Applying graph theory to find key leverage points in the transition toward urban renewable energy systems

Interrelationships between urban travel demand and electricity consumption: a deep learning approach

A machine learning framework to assess the impact of the COVID-19 pandemic on electricity consumption patterns

Harnessing European policies for energy planning in Illinois: Overcoming barriers and transitioning to a climate-neutral society

Effectiveness variation of different census outreach activities: An empirical analysis from the state of Illinois using machine learning and user interface technologies for participatory data collection

Exploring the Barriers to and Potential for Sustainable Transitions in Urban–Rural Systems through Participatory Causal Loop Diagramming of the Food–Energy–Water Nexus

Intrastate applicability of National Census Response Rate Models: The case of the 2020 Census in the state of Illinois, United States

Collaborators (3)

Dongwoo Lee

Abolfazl Mohammadian

Sybil Derrible

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