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Master of Ur Master of Ur

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Master of Ur - PPT Presentation

Yefu ChenAddress 4516 7thAveNE SeattleWA98105Mobile 2066376143Emailchenyf56uweduEducation UniversityofWashingtonSeattle US092016062018ban Planning and Design specializingin LandUseTransportation ID: 856877

present 2018 research analysis 2018 present analysis research 100 travel seattle data mode project index effect walkability environment urban

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1 Y efu Chen Address: 4516 7 th A v
Y efu Chen Address: 4516 7 th A ve N E, Seattle, W A 9 8105 · M o bi l e: 20 6 - 63 7 - 6143 · E m ail : c h e nyf56@u w .edu Educa t i o n Uni v er s ity o f W ashin g to n , Seattle, U . S . 0 9 /20 1 6 - 0 6 /2018 Master of Ur b an Planning and De s ign, specializi n g in Land Us e , T rans p ortation a n d Infrastruct u re  Thesis: The Impact of Peer - to - peer Ridesharing on Travel Mode: Empirical Study of Uber Effects on Travel Mode in Seattle Sun Y a t - sen Uni v er s ity, Guangzhou, China 0 9 /201 2 - 06/2016 Bachelor of S cience, Major in Resources Environment & Urban and Rural Planning Managemen t, School of Geography Science and Planning  Merit scholarships in 2013 and 2015  Courses: Urban G eography (93 /100 ) , T ransp o r t ation G eography (91 /100 ) , Urban T ransportation (89 /100 ) , Mathematical G eography (86 /100 ) , Regional Analysis and P lanning (88 /100 ) , Database Principles and A pplication (92 /100 ) . Research Exper i ences Urban F o rm L a b, Uni v er s ity o f W ashin g to n , S eattle, U . S . 0 7 /201 7 - Present Research a ssistant  Prepared literature reviews , research design , data analysis for three research project s , mainly using survey and GPS - a ccelerometer dataset through SQL and R  I nter preted research results and presented for local transportation agencies Chi n a Academy o f Urb a n P lanning a nd De s ig n , Beiji ng , C hina 0 6 /201 5 - 0 8 / 2015 Summer undergraduate i ntern  Utilized Stata and ArcGIS for analysis /forecasts and illustrate d these for the research committee  Predicted GDP and population growth within Jianghuai Metropolitan Region via autoregressive integrated moving average model  Applied economic gravity model to define the economic effect boundaries of each city  Adopt ed Tableau to visualize results Re s earch Pro j e c ts Thesis: The Impact of Peer - to - peer Ridesharing on Travel Mode: Empirical Study of Uber Effects on Travel Mode in Seattle 01 /2018 – 07 /2018  Collected commuting mode, socio - economic information , and public transit infrastructure (light rail station count) at the census tract level from 2010 to 2016 in Seattle  Applied the K - mean cluster analysis to categorize these as three domain clusters according to socio - demographic condition  Evaluated the impact of Uber on commuting modes of the whole Seattle and the effects of each cluster via the difference - in - differences model Spatial Characteristics of Jobs - Housing in Shenzhen City 11/2018 - Present Cooperated with Guanghui Shi  Identified the resident ial and working locations through the density - based spatial clustering of applications with noise based on Sina Weibo dataset  Measured the distribution character of residential location and working location through the nearest neighbor index and explained the result Motorcycle Taxi Driver Safety

2 Project
Project 11/2018 – Present Assisted Dr. Philip Hurvitz  Assisted in cleaning GPS - accelerometer dataset of 60 motorcycle taxi drivers in Kampala, Ug anda  Created a sort of heat map based on hexagon grid to present clusters of each driver through QGIS M odifiable Areal Unit P roble m in P edestrian C ollision M odeling 08/2018 - Present Cooperate d with Mingyu Kang , Ph.D. candidate  Compared built environment factors within (100 meters , 200 meters , and 300 meters ) circular buffers and network sausage buffers to present the zonal effect, and different scale s of each buffer to present the scale effect using ArcGIS  Performed p reliminary logistic regression with the d ependent variable ( collision ) and independent variables ( road characters, infrastructures, land use ) in R environment Walkability and Neighborhood P reference Effect s on Travel B ehavior 06/2018 - Present Independent project, s upervised by Prof. Anne Moudon  Created composite index of self - reported neighborhood walkability preference using principal component analysis on survey data  Investigated the impact of built environment (density, street connectivity, traffic exposure, and land use ) and composite preference index on the likelihood and duration of different travel modes ( driving alone, public transit, carpooling, and walking or biking) via two - stage hurdle model on GPS - accelerometer data Neighborhood Gentrification and Green Accessibility 06/2018 – 11/2018 Independent project  Categorized 8 gentrification typologies in New York City through the cluster analysis using 2000 - 2016 (17 - year) census track data from the Longitudinal Tract Data Base of Brown University  U tilized geographically weighted regression to examine the relation between gentrification typologies and green space accessibility measured by two - step floating catchment area method King County School Walkability Project 11 /2017 – 09/2018 Cooperated with Prof. Anne Moudon and Dr. Alon Bassok  Assisted in measuring surrounding factors including road connectivity, vehicular traffic exposure, residential density, sidewalk prevalence, and pedestrian - motor vehicle collisions count  Generated the final walkability index via equally weighted, summed, and standardized Publications and Conference Presentations  Anne Moudon, Yefu Chen , Alon Bassok. “King County School Walkability” PacTrans Region 10 Transportation Conference, Fairbanks, AK, October 12, 2018  Lide Fu, Yefu Chen . Disc ussion on Restoration of New - type Urbanization, Journal of Xiangnan University. December 7, 2015  Lijuan Wang, Yefu Chen . Research on Transformation Mode of Small Cities with Highly Intensive Old Towns : Case Study of Linwu County, Journal of Xiangnan University. May 7 , 2015 Ski l ls  S tatistical Modeling and Data Management : R, Stata , SPSS, Python (beginner) , SQL (certificate d )  Spatial Analysis: ArcGIS, QGIS, MapInfo  Visualization : Adobe Creative C loud , Tableau  Language s : Chinese (native), English ( fluent )