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<!DOCTYPE HTML>
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<title>Uijeong Hwang</title>
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<h1>UIJEONG "UJ" HWANG</h1>
<p>City and Regional Planning PhD | Spatial Data Scientist</p>
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<h2><a href="#main" class="scrolly">ABOUT ME</a></h2>
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<p>
<span class="image left"><img src="images/IDphoto_Hwang.jpg" alt=""></span>
I am a highly motivated data scientist specializing in spatial analytics, GIS, urban informatics, and machine/deep learning.
With a strong background in research spanning 8 years, my work focuses on delivering actionable insights
to inform effective planning practices to foster a more accommodating and safer transportation environment.<br/><br/>
My interests center around <i><b>travel behavior</b></i> — I study (1) the ways in which people move around, (2) the factors that make people choose more walking, biking, and public transit, and (3) how the travel behavior is associated with public health and quality of life.<br/><br/>
I also enjoy applying effective visualization techniques and state-of-the-art data analytical tools to urban studies. If you want to get a glimpse of what I do, see <a href="#research" class="scrolly">Research Highlights</a> below. <br/><br/>
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<h3>Experience</h3>
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<p class="jobTitle">Senior Planner</p>
<p class="team">Transportation Access & Mobility</p>
<p class="job">Atlanta Regional Commission</p>
<p class="period">Aug 2023 - present</p>
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<p class="jobTitle">Research Assistant</p>
<p class="team">Center for Spatial Planning Analytics and Visualization</p>
<p class="job">Georgia Institute of Technology</p>
<p class="period">Aug 2019 - Dec 2023</p>
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<p class="jobTitle">Junior Researcher</p>
<p class="team">Transportation System Research Center</p>
<p class="job">Seoul Institute</p>
<p class="period">Jul 2018 - Jul 2019</p>
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<h3>Education</h3>
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<p class="course">PhD in City and Regional Planning</p>
<p class="school">Georgia Institute of Technology</p>
<p class="period">Aug 2019 - Dec 2023</p>
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<p class="course">MS in Urban Analytics</p>
<p class="school">Georgia Institute of Technology</p>
<p class="period">Aug 2021- Aug 2023</p>
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<p class="course">BS+MS in Urban Planning and Design</p>
<p class="school"><i>cum laude</i>, University of Seoul</p>
<p class="period">Mar 2010 - Aug 2017</p>
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<h3>Technical Skills</h3>
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<li><i>Languages</i>: Python | R | SQL | JavaScript | HTML & CSS</li>
<li><i>Libraries & frameworks</i>:
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<li><i>Web dev</i>: React.js | Node.js | jQuery</li>
<li><i>Visualization</i>: Mapbox.js | D3.js | kepler.gl | deck.gl </li>
<li><i>Machine learning</i>: PyTorch | TensorFlow | OpenCV | MMCV</li>
<li><i>High performance computing</i>: MVAPICH2</li>
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<li><i>GIS</i>: ArcGIS | QGIS</li>
<li><i>Other software</i>: Tableau | Photoshop | Illustrator | AutoCAD</li>
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<h3>Interests</h3>
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<li>Travel behavior | Active mobility | Smart growth | Transit equity </li>
<li>Geospatial analytics | Visualization & mapping | GIS</li>
<li>Data science | Machine/Deep Learning | Computer vision</li>
<li>Network analysis | Urban modeling and simulation</li>
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<!-- Posts -->
<section class="posts" id="research">
<article>
<header>
<h2><a href="https://www.sciencedirect.com/science/article/abs/pii/S2210670722006229" target="_blank">Impact of Bike Lanes <br/> on Mode Choice</a></h2>
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<a href="https://www.sciencedirect.com/science/article/abs/pii/S2210670722006229" target="_blank" class="image fit"><img src="images/bike-lane-mode-choice.png" alt="" /></a>
<p>Making people drive less is the utmost goal in the major U.S. cities. By simulating bike routes of 120,000 trips and running a mode choice model, this study demonstrates that bike lanes not only support cyclists but also induce people to shift from driving to walking and public transit.</p>
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<h2><a>Detecting steet parking from a sequence of street view images</a></h2>
</header>
<a class="image fit"><img src="images/parking-detection.gif" alt="" /></a>
<p>On-street parking is a necessary evil. This study introduces a method for detecting unregulated on-street parking from a sequence of street view images using image geometry and computer vision models such as segmentation models
(<a href="https://proceedings.neurips.cc/paper/2021/hash/64f1f27bf1b4ec22924fd0acb550c235-Abstract.html" target="_blank">Xie et al., 2021</a>;
<a href="https://openaccess.thecvf.com/content/CVPR2021/html/Qiao_DetectoRS_Detecting_Objects_With_Recursive_Feature_Pyramid_and_Switchable_Atrous_CVPR_2021_paper.html" target="_blank">Qiao et al., 2021</a>),
a vanishing point detection model (<a href="https://proceedings.neurips.cc/paper/2019/hash/8e6b42f1644ecb1327dc03ab345e618b-Abstract.html" target="_blank">Zhou et al., 2019</a>),
and a vehicle re-identification model (<a href="https://arxiv.org/abs/2006.02631" target="_blank">He et al., 2020</a>).</p>
</article>
<article>
<header>
<h2><a>street environments and the risk of bike near-miss </a></h2>
</header>
<a class="image fit"><img src="images/bike-near-miss.gif" alt="" /></a>
<p>One of the challenges in biking safety research is the rarity of bike-involved accidents. A viable alternative is to study near-misses, which occur quite frequently.
Using <a href="https://www.sciencedirect.com/science/article/pii/S157411922030064X?casa_token=7ikMLUIzaOQAAAAA:QKFMK6A64oUwwAmofMeJ0XF2Mdi37SaHfFtQ2UPA1vjj3LymdbM4HaZ1smabwUAN17-ZYzWw0g" target="_blank">Simra</a>,
an app-based, crowdsourced dataset on bike routes and near-misses, this study examines the association between various street environments and the risk of near misses in Berlin, Germany.</p>
</article>
<article>
<header>
<h2><a href="https://ujhwang.github.io/transit_equity" target="_blank">Atlanta's Transit Equity: <br/> present and future </a></h2>
</header>
<a href="https://ujhwang.github.io/transit_equity" target="_blank" class="image fit"><img src="images/transit-equity.gif" alt="" /></a>
<p> <a href="https://sam.isye.gatech.edu/projects/demand-multimodal-transit-systems/atlanta-pilot" target="_blank">On-demand multimodal transit system</a> in Atlanta is designed to connect people to rail/bus networks by serving first/last miles via on-demand shuttles. The novel transit system will surely improve accessibility, but will it make the transit service more "<i>equitable</i>" across the city? </p>
</article>
<article>
<header>
<h2><a href="https://ujhwang.github.io/covid-19-eating-habit" target="_blank">Covid-19 and <br/>Changes in Eating Habit</a></h2>
</header>
<a href="https://ujhwang.github.io/covid-19-eating-habit" target="_blank" class="image fit"><img src="images/covid-19-eating-habit_merge.gif" alt="" /></a>
<p>Eating behaviors are certainly one of the primary things that the pandemic has affected in negative ways. Using restaurant foot traffic data from <a href="https://www.safegraph.com/products/places" target="_blank">SafeGraph</a>, this study shows in what way our eating habits became unhealthier during the pandemic and how the changes differ by neighborhood characteristics.</p>
</article>
<article>
<header>
<h2><a href="https://doi.org/10.1016/j.compenvurbsys.2023.102030" target="_blank">"Streetscape" as <br/>part of "servicescape"</a></h2>
</header>
<a href="https://doi.org/10.1016/j.compenvurbsys.2023.102030" target="_blank" class="image fit"><img src="images/streetscape-servicescape.gif" alt="" /></a>
<p>Walkable streetscapes are conducive to the perceived safety and aesthetics of the street frontage. This study extends the concept of <a href="https://en.wikipedia.org/wiki/Servicescape" target="_blank">servicescapes</a> to the surrounding street environment. The analysis shows that the quality of streetscapes <smaller>(measured through a computer vision based method by <a href="https://doi.org/10.1016/j.healthplace.2021.102733" target="_blank">Koo et al. (2022)</a>)</smaller> has positive effects on customer satisfaction <smaller>(derived from <a href="https://fusion.yelp.com/" target="_blank">Yelp reviews</a>)</smaller>.</p>
</article>
<article>
<header>
<h2><a>Algorithm for generating <br/>complete street network </a></h2>
</header>
<a class="image fit"><img src="images/complete-street-design.gif" alt="" /></a>
<p><a href="https://smartgrowthamerica.org/what-are-complete-streets/" target="_blank">Complete streets</a> aim to ensure safe travel for all street users regardless of their age, ability, or mode of transportation. Due to the inevitable piecemeal nature of those projects, however, complete streets are not very complete from a network standpoint. This study investigates the design of a <i>complete street network</i> by using bike lane networks as connective threads.</p>
</article>
<article>
<header>
<h2><a>micro-simulating <br/>the impact of road diet </a></h2>
</header>
<a class="image fit"><img src="images/road-diet.gif" alt="" /></a>
<p>This study investigates the impact of a planned road diet on 10th Street NW on roadway performances.
A microscopic traffic simulation, building upon the work of
<a href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.62.1805" target="_blank">Treiber et al. (2000)</a>,
was conducted for two scenarios (i.e., before and after the road diet) under varying AADTs.
The findings suggest that the road diet will significantly reduce peak-hour speed,
and traffic flow is projected to moderately decrease by 11% due to the reduced capacity.</p>
</article>
<article>
<header>
<h2><a href="https://ujhwang.github.io/place-social-diversity-explorer" target="_blank">Exploring <br/> Place Social Diversity</a></h2>
</header>
<a href="https://ujhwang.github.io/place-social-diversity-explorer" target="_blank" class="image fit"><img src="images/place-social-diversity.gif" alt="" /></a>
<p>Explore the social diversity among visitors at <a href="https://en.wikipedia.org/wiki/Third_place" target="_blank">third places</a> in the City of Atlanta. What types of places let you intermingle with people with diverse backgrounds? The visualization was created by Uijeong Hwang and <a href="https://xiaofanliang.com" target="_blank">Xiaofan Liang</a> based on data shared by <a href="https://seolhalee.github.io" target="_blank">Seolha Lee</a>.</p>
</article>
<article>
<header>
<h2><a href="https://public.tableau.com/app/profile/uijeong.hwang/viz/InequalitiesinFoodAccess/Dashboard1" target="_blank">Inequalities in Food Access in Atlanta</h2>
</header>
<a href="https://public.tableau.com/app/profile/uijeong.hwang/viz/InequalitiesinFoodAccess/Dashboard1" target="_blank" class="image fit"><img src="images/food_inequality.png" alt="" /></a>
<p>Food is everywhere, but healthy food is not everywhere. Many neighborhoods in U.S. cities are surrounded by fast/junk food outlets and have limited access to fresh foods. This dashboard demonstrates which neighborhoods in the City of Atlanta are at risk of being public health hazards and how it is correlated with the neighborhoods' income. </p>
</article>
</section>
<!-- publications -->
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<h1><a href="#publication" class="scrolly">publications</a></h1>
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<dl>
<dt class="light"><b>Hwang, U.</b>, Lieu, S., Dalmeijer. K., Guan. H., Guhathakurta, S., & Van Hentenryck, P. (in press). Measuring Transit Equity of an On-demand Multimodal Transit System. <i>Journal of the American Planning Association.</i></dt>
<dt class="light"><a href="https://www.sciencedirect.com/science/article/pii/S2950105924000068" target="_blank"><b>Hwang, U.</b>, Kim, I., Guhathakurta, S., & Van Hentenryck, P. (2024). Comparing Different Methods for Connecting Bike Lanes to Generate a Complete Bike Network and Identify Potential Complete Streets in Atlanta. <i>Journal of Cycling and Micromobility Research</i>, 100015.</a></dt>
<dt class="light"><b>Hwang, U.</b> (2023). Breaking Myths behind “Bikelash”: Empirical Analyses on The Role of Protected Bike Lanes on Creating a Sustainable, Equitable, and Safer Transportation Environment [Doctoral dissertation, Georgia Institute of Technology].</dt>
<dt class="light"><a href="https://doi.org/10.1016/j.scs.2022.104318" target="_blank"><b>Hwang, U.</b>, & Guhathakurta, S. (2023). Exploring the Impact of Bike Lanes on Transportation Mode Choice: A simulation-based, route-level impact analysis. <i>Sustainable Cities and Society</i>, 104318.</a></dt>
<dt class="light"><a href="https://doi.org/10.1016/j.compenvurbsys.2023.102030" target="_blank">Koo, B., <b>Hwang, U.</b>, & Guhathakurta, S. (2023). Streetscapes as Part of Servicescapes: Can walkable streetscapes make local businesses more attractive?. <i>Computers, Environment and Urban Systems</i>, <i>106</i>, 102030</a></dt>
<dt class="light"><a href="https://www.mdpi.com/2071-1050/12/4/1656" target="_blank"><b>Hwang, U.</b>, & Woo, M. (2020). Analysis of inter-relationships between urban decline and urban sprawl in city-regions of South Korea. <i>Sustainability</i>, <i>12(4)</i>, 1656.</a></dt>
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<p>229 Peachtree St #100, Atlanta, GA 30303</p>
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