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Jackelyn Hwang

Publications and source records attributed to Jackelyn Hwang.

3 recordsLinked to original sources

CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series

Urban transformations have profound societal impact on both individuals and communities at large. Accurately assessing these shifts is essential for understanding their underlying causes and ensuring sustainable urban planning. Traditional measurements often encounter constraints in spatial and temporal granularity, failing to capture real-time physical changes. While street view imagery, capturing the heartbeat of urban spaces from a pedestrian point of view, can add as a high-definition, up-to-date, and on-the-ground visual proxy of urban change. We curate the largest street view time series dataset to date, and propose an end-to-end change detection model to effectively capture physical alterations in the built environment at scale. We demonstrate the effectiveness of our proposed method by benchmark comparisons with previous literature and implementing it at the city-wide level. Our approach has the potential to supplement existing dataset and serve as a fine-grained and accurate assessment of urban change.

cs.CV

Detecting Neighborhood Gentrification at Scale via Street-level Visual Data

Neighborhood gentrification plays a significant role in shaping the social and economic well-being of both individuals and communities at large. While some efforts have been made to detect gentrification in cities, existing approaches rely mainly on estimated measures from survey data, require substantial work of human labeling, and are limited in characterizing the neighborhood as a whole. We propose a novel approach to detecting neighborhood gentrification at a large-scale based on the physical appearance of neighborhoods by incorporating historical street-level visual data. We show the effectiveness of the proposed method by comparing results from our approach with gentrification measures from previous literature and case studies. Our approach has the potential to supplement existing indicators of gentrification and become a valid resource for urban researchers and policy makers.

cs.CV

Barriers to Integration: Physical Boundaries and the Spatial Structure of Residential Segregation

Despite modest declines in residential segregation levels since the Civil Rights Era, segregation remains a defining feature of the U.S. landscape. This study highlights the importance of considering physical barriers--features of the urban environment that disconnect locations--when measuring segregation. We use population and geographic data for 20 U.S. Rustbelt cities from the 2010 decennial census and a novel approach for measuring and analyzing segregation that incorporates the connectivity of roads and the excess distance imposed by physical barriers, such as highways, railroad tracks, and dead-end streets. We find that physical barriers divide urban space in ways that reinforce or exacerbate segregation, but there is substantial variation in the extent to which they increase segregation both within and across these cities and for different ethnoracial groups. By uncovering a new source of variation in the segregation experienced by city residents, the findings have implications for understanding the mechanisms that contribute to the persistence of segregation and the consequences of segregation.

physics.soc-ph