Article
Computer Science, Interdisciplinary Applications
Jae Hong Kim, Sugie Lee, John R. Hipp, Donghwan Ki
Summary: This study empirically assessed the sensitivity and variation patterns of GSV-based streetscape measures using data for Santa Ana, California, finding that measurement outcomes can vary substantially with changes in GSV acquisition parameter settings. High sensitivity was observed for certain measurement targets like humans, objects, and sidewalks, with highly correlated patterns of variation seen for elements like buildings and sidewalks, indicating their covariance in the urban space mosaic.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Engineering, Environmental
Maria E. S. Sabedotti, Anna C. O'Regan, Marguerite M. Nyhan
Summary: Unprecedented urbanization has led to increased urban environmental health issues, such as air pollution. Green urban planning is essential for mitigating air pollution. This study found significant negative associations between urban greenspace and pollution.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhanjun He, Zhipeng Wang, Zhong Xie, Liang Wu, Zhanlong Chen
Summary: This study proposes a multiscale analysis method to quantitatively study the influence of street built environment on crime occurrence using street-view images. The experimental results indicate that the proposed method accurately reveals the association between environmental features and crime occurrence.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2022)
Article
Environmental Sciences
Chongxian Chen, Haiwei Li, Weijing Luo, Jiehang Xie, Jing Yao, Longfeng Wu, Yu Xia
Summary: This study used street view images and machine learning methods to model the impact of street environments on mood states in a large urban area in Guangzhou, China. The results showed that streets in urban fringe areas were more likely to produce positive emotions, while the high-density built environment in the city center was more likely to produce depressive feelings.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Public, Environmental & Occupational Health
Xin Han, Lei Wang, Seong Hyeok Seo, Jie He, Taeyeol Jung
Summary: The urban built environment has a significant impact on the psychological stress of residents. This study proposes a rapid and large-scale method to measure the perceived psychological stress of urban residents using big data and deep learning technology. The empirical study conducted in Gangnam District, Seoul, shows that urban traffic arteries and riverine areas have lower psychological stress, while commercial and residential areas have higher psychological stress. Walls and buildings cause psychological stress, while sky, trees, and roads relieve it.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Geography, Physical
Yulin Yan, Youngryel Ryu
Summary: In this study, a convolutional neural network (CNN) model was applied to investigate the effectiveness of automatic ground truthing using Google Street View (GSV) images in two distinct farming regions: Illinois and the Central Valley in California. The study demonstrated the feasibility and reliability of this new ground referencing technique, showing high classification accuracy for crop mapping at the state level. These results suggest that GSV images with deep learning models offer an efficient and cost-effective alternative method for ground referencing in various regions worldwide.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Geography, Physical
Fang Fang, Linyun Zeng, Shengwen Li, Daoyuan Zheng, Jiahui Zhang, Yuanyuan Liu, Bo Wan
Summary: This study proposes a novel spatial context-aware method for land use classification that improves classification accuracy and identification of parcels without street view images by modeling the spatial relationships between street view images and land parcels.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Eun-Sub Kim, Seok-Hwan Yun, Chae-Yeon Park, Han-Kyul Heo, Dong-Kun Lee
Summary: This study developed a method for estimating mean radiant temperature (MRT) in street canyons using Google Street View (GSV) images and analyzed its spatial patterns at a large scale. The proposed method was validated through regression analysis and showed good consistency with land surface temperature. The study provides valuable insights for understanding heat stress patterns at the street level.
Article
Remote Sensing
Yan Zhang, Fan Zhang, Libo Fang, Nengcheng Chen
Summary: The study explores the relationship between street view images and point of interest data sources, proposing a Seq2Seq framework to integrate these two types of data. Results from experiments in Wuhan demonstrate the effectiveness of this method, enriching the way we perceive cities and aiding in the understanding of many-to-many relationships.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Transportation Science & Technology
Koichi Ito, Filip Biljecki
Summary: The study evaluates urban bikeability comprehensively using street view imagery and computer vision, developing a comprehensive index composed of 34 indicators. The results show that street view imagery and computer vision are effective in assessing urban bikeability and have the potential to replace traditional techniques. However, combining street view imagery and non-street view imagery approaches may be the best way forward for future development.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Environmental Sciences
Chentao Liang, Angali Serge, Xu Zhang, Huimei Wang, Wenjie Wang
Summary: This paper uses a GSV-based tree-size measuring method to evaluate street trees in four African metropolitan cities. The study compiled a large dataset with 46,016 street trees in 3454 sites. The data showed that the trees in African cities are generally giant but have a lower density compared to other regions of the world.
ENVIRONMENTAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Tianhong Zhao, Xiucheng Liang, Wei Tu, Zhengdong Huang, Filip Biljecki
Summary: Based on machine learning, a new application of street view imagery is introduced to estimate large-area high-resolution urban soundscapes. This approach enables low-cost but accurate and detailed sensing of urban soundscapes, providing an alternative means to generate soundscape maps.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Economics
Guan-Yuan Wang
Summary: This study uses Google Street View to analyze the impact of environmental locational factors on housing prices. By constructing a convolutional neural network model, the interpretability and prediction accuracy of the models are improved. The results show that visual cues from Google Street View play a significant role in regional and housing research.
JOURNAL OF FORECASTING
(2023)
Article
Education & Educational Research
Dana Charles McCoy, Terri J. Sabol, Emily C. Hanno, Candice L. Odgers
Summary: Little research has focused on school neighborhoods. This study used a novel systematic social observation tool and found that the physical characteristics of preschool communities are related to, yet distinct from, existing neighborhood structural measures. The study also found associations between outdoor play resources and safety/care ratings and low-income preschoolers' learning outcomes.
Article
Urban Studies
N. V. Shartova, E. E. Mironova, M. Yu. Grischenko
Summary: Urban walkability is crucial in determining a healthy city, as seen in the case study of Moscow where a walkability index was used to assess the city's walkability. Despite the need for adjustments, the methodology used yielded expected results, revealing strong spatial heterogeneity in walkability within the city. Additionally, the study found that walkability and social differentiation share similar spatial patterns, and historical context still plays a significant role in walkability. Green infrastructure is identified as an essential component, though some areas in Moscow lack adequate green spaces due to the remoteness of large parks. The study suggests prioritizing the improvement of the green infrastructure network in vulnerable areas of post-industrial development and diversifying land-use.
Article
Environmental Sciences
Rachael E. Rush, Karen C. Dannemiller, Samuel J. Cochran, Sarah R. Haines, Luis Acosta, Adnan Divjan, Andrew G. Rundle, Rachel L. Miller, Matthew S. Perzanowski, Tara L. Croston, Brett J. Green
Summary: This study analyzed bedroom floor dust samples from homes in New York City and found significant associations between Vishniacozyma victoriae (V. victoriae) and factors such as carpeting, humidity, seasons, and pets. Additionally, V. victoriae concentrations were lower in homes with children who have asthma, especially among non-seroatopic children.
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
(2022)
Editorial Material
Public, Environmental & Occupational Health
Stephen E. Gilman, Allison Aiello, Sandro Galea, Chanelle J. Howe, Ichiro Kawachi, Gina S. Lovasi, Lorraine T. Dean, J. Michael Oakes, Arjumand Siddiqi, M. Maria Glymour
Summary: Social epidemiology focuses on how social forces influence population health, encompassing all social and economic determinants of health. This commentary encourages researchers to expand knowledge on emerging and underresearched social determinants, advance new empirical evidence on health inequities and solutions to promote health equity, generate evidence to inform the translation of research on social determinants into public health impact, contribute to methodological innovation in social epidemiology, and encourage critical self-reflection on the field's direction, challenges, successes, and failures.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2022)
Article
Critical Care Medicine
Anne Bozack, Stanley Pierre, Nicholas DeFelice, Elena Colicino, Darby Jack, Steven N. Chillrud, Andrew Rundle, Alfred Astua, James W. Quinn, Laura McGuinn, Qiang Yang, Keely Johnson, Joseph Masci, Laureen Lukban, Duncan Maru, Alison G. Lee
Summary: This study aimed to determine if long-term air pollution exposure is associated with an increased risk of mortality and ICU admission among COVID-19 hospitalized patients. The study found that higher long-term exposure to PM2.5 was associated with an increased risk of mortality and ICU admission. However, NO2 and BC exposure were not associated with COVID-19 mortality, ICU admission, or intubation.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2022)
Article
Computer Science, Information Systems
Abhinav Suri, Melanie Askari, Jennifer Calder, Charles Branas, Andrew Rundle
Summary: To address the issue of incomplete statistics for smaller cities during the COVID-19 pandemic, the Stamford Department of Health partnered with Columbia Mailman School of Public Health to develop an online dashboard that provides real-time data for the city, enabling timely action by the health department.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Geriatrics & Gerontology
Kehan Zhang, Gina S. Lovasi, Michelle C. Odden, Yvonne L. Michael, Anne B. Newman, Alice M. Arnold, Dae Hyun Kim, Chenkai Wu
Summary: This study examined the association between neighborhood environment and mortality among community-dwelling older populations, and found that economic status of the community was significantly associated with mortality among older adults.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2022)
Article
Endocrinology & Metabolism
Elizabeth M. Widen, Natalie Burns, Michael Daniels, Grant Backlund, Rachel Rickman, Saralyn Foster, Amy R. Nichols, Lori A. Hoepner, Eliza W. Kinsey, Judyth Ramirez-Carvey, Abeer Hassoun, Frederica P. Perera, Radek Bukowski, Andrew G. Rundle
Summary: A mother-child dyad trajectory model was developed to understand how early life exposures shape childhood body composition. The study found that higher gestational weight gain in mothers had a more profound impact on body composition trajectories in girls compared to boys.
Article
Endocrinology & Metabolism
Eliza W. Kinsey, Elizabeth M. Widen, James W. Quinn, Mary Huynh, Gretchen Van Wye, Gina S. Lovasi, Kathryn M. Neckerman, Andrew G. Rundle
Summary: This study found that living in neighborhoods with higher levels of poverty was associated with greater odds of excessive gestational weight gain, while living in neighborhoods with higher walkability was associated with lower odds of excessive gestational weight gain. Adjusting for pre-pregnancy BMI attenuated the association with neighborhood poverty but not with walkability. Neighborhood characteristics were not associated with inadequate gestational weight gain.
Article
Environmental Sciences
Marina Armendariz, Carolina Perez-Ferrer, Ana Basto-Abreu, Gina S. Lovasi, Usama Bilal, Tonatiuh Barrientos-Gutierrez
Summary: Changing food environments in Latin America may contribute to increased consumption of ultra-processed foods and sugar-sweetened beverages, while decreasing the intake of healthy foods like fruits and vegetables. Our study found that a decline in the density of fruit and vegetable stores is associated with higher blood pressure, and an increase in the density of supermarkets is associated with unfavorable blood pressure outcomes among adults with undiagnosed hypertension.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Gina S. Lovasi, Christian A. Treat, Dustin Fry, Isha Shah, Jane E. Clougherty, Alique Berberian, Frederica P. Perera, Marianthi-Anna Kioumourtzoglou
Summary: The deployment of cleaner buses in the New York Metropolitan Transit Agency has successfully reduced air pollution concentrations, particularly in nitrogen dioxide. This study demonstrates the importance of clean public transportation for improving urban air quality and public health.
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
(2023)
Article
Pediatrics
Traci A. Bekelman, Emily A. Knapp, Yanan Dong, Dana Dabelea, Tracy M. Bastain, Carrie Breton, Kecia N. Carroll, Carlos A. Camargo, Ann M. Davis, Anne L. Dunlop, Amy J. Elliott, Assiamira Ferrara, Rebecca C. Fry, Jody M. Ganiban, Diane Gilbert-Diamond, Frank D. Gilliland, Monique M. Hedderson, Alison E. Hipwell, Christine W. Hockett, Kathi C. Huddleston, Margaret R. Karagas, Nichole Kelly, Jin-Shei Lai, Barry M. Lester, Maristella Lucchini, Melissa M. Melough, Nicole L. Mihalopoulos, T. Michael O'Shea, Andrew G. Rundle, Joseph B. Stanford, Sara VanBronkhorst, Rosalind J. Wright, Qi Zhao, Katherine A. Sauder
Summary: Societal changes during the COVID-19 pandemic may affect children's health behaviors. Parents experiencing financial strain may need additional support to promote healthy behaviors. Changing work schedules to care for children can lead to shorter screen time and longer sleep duration.
Article
Substance Abuse
Abhinav Suri, Daniel J. Feaster, Raymond R. Balise, James Quinn, Edward V. Nunes, Louisa Gilbert, Nabila El-Bassel, Andrew G. Rundle
Summary: This study aims to examine the impact of the March 2020 New York State emergency orders on opioid dispensing and access to medications for opioid use disorder. The study found that the emergency orders were associated with a decline in non-MOUD opioid dispensing, but access to MOUD remained unaffected.
Article
Public, Environmental & Occupational Health
Andrew G. Rundle, Eliza W. Kinsey, Elizabeth M. Widen, James W. Quinn, Mary Huynh, Gina S. Lovasi, Kathryn M. Neckerman, Gretchen Van Wye
Summary: This study examined the association between neighbourhood walkability and the risk of gestational diabetes in New York City. The results showed that living in more walkable neighbourhoods was associated with a lower risk of gestational diabetes.
PAEDIATRIC AND PERINATAL EPIDEMIOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Jana A. Hirsch, Yuzhe Zhao, Steven Melly, Kari A. Moore, Nicolas Berger, James Quinn, Andrew Rundle, Gina S. Lovasi
Summary: This study examines national disparities in retail food environments across different neighborhoods in terms of race/ethnicity and socio-economic status. The findings show that non-White and low-income communities have more unhealthy food sources, and this disparity has been increasing over time. There is an inverse relationship between income and access to food stores, although the gap has been narrowing over time.
PUBLIC HEALTH NUTRITION
(2023)
Article
Public, Environmental & Occupational Health
Andrew G. G. Rundle, Remle P. P. Crowe, Henry E. E. Wang, Alexander X. X. Lo
Summary: This study presents a method to use emergency medical services data as a public health surveillance tool for fall injuries, with a focus on outdoor falls. Using the 2019 NEMSIS data, it was found that 4% of fall injuries were secondary to syncope and heat illness, and 9% of fall injuries occurred outdoors, with 85% of them happening on streets and sidewalks. The strengths and weaknesses of using this method for routine public health surveillance of fall injuries are discussed.
INJURY EPIDEMIOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Andrew G. Rundle, Kathryn M. Neckerman, Suzanne E. Judd, Natalie Colabianchi, Kari A. Moore, James W. Quinn, Jana A. Hirsch, Gina S. Lovasi
Summary: This study provides additional longitudinal evidence that residential neighborhood features that support pedestrian activity are associated with lower adiposity.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2023)