Michael Thomas Sullivan michael.sullivan2@lc.cuny.edu Home Address 2319 Brigham Street Brooklyn, NY 11229 Cell (516) 729-8870 Academic Address Geographic Information Science Dept. Lehman College, CUNY 250 Bedford Park Blvd. West Bronx, NY 10468 Education City University of New York Lehman College May, 2015 [anticipated] M.S. Geographic Information Science GPA: 3.6 Binghamton University, State University of New York May, 2013 B.S. Economics: Economic Policy Analysis GPA: 3.6 [cum laude] B.A. Geography: Urban and Regional Planning Professional Experience Cartographer Seneca Village Project, New York, NY May, 2014 Digitize & map archaeological data from 19 th c. site (NYC) GIS Intern NYC Dept. of Information Technology & Telecommunication, NYC, NY June Aug., 2014 Review data's adherence to maintenance procedures Identify geometry and attribute exceptions Assist in maintenance of geospatial databases Tutor / Lab Assistant GISc Lab [City University of New York - Lehman College], Bronx, NY Jan. 2014 Present Teach/review GISc techniques to undergraduates/graduates - 6 hours/weekly Courses include Remote Sensing, Geo-spatial statistics, Natural Disasters and Environmental Health Student Mentor Johnson City Mentors Program [Binghamton University], Johnson City, NY Sep. 2012 Dec. 2012 Enabled 7 th grade mentee s academic, personal and social growth Assisted teachers to create a positive and productive learning environment Strategic Initiatives/Communications Intern MTA Capital Construction, New York, NY May 2012 Aug. 2012 Conducted field study on progress of MTACC megaprojects Assisted Director in community outreach, media relations and internal communication Contributed to internal newsletters on MTACC affairs Led tour of East Side Access project for British Broadcasting Channel Lab Assistant Public Speaking Skills Lab, Binghamton, NY Dec. 2011 May 2012 Observed public presentation and work with speaker to improve skills Created informational resources for students to access on lab website Planning Intern Vision Long Island, Northport NY May Aug. 2011; Dec. 2011 Jan. 2012 Collected and analyzed data for Downtown Profiling Project & Oct. Nov. 2013 Surveyed and corresponded with owners in Small Business Administration Study Contributed 1 to 4 articles for weekly newsletter, Smart Talk Represented Vision at Nassau Chamber of Commerce meeting w/ NYS EDC Peer Mentor Emerging Leaders Program, Binghamton, NY Aug. Dec. 2011 Developed new students leadership skills through service learning project Experience: ArcGIS, Idrisi, GeoDa, Remote Sensing, Statistical Package for the Social Sciences, R Statistical Software, Python Programming, Cost Benefit Analysis, Microsoft Excel (Problem Simulation and Optimization), Microsoft Office. Skills Academic Distinctions Presentations: Am. Psych. Assoc. Convention (Toronto, ON, 2009); Nat l Assoc. for Ethnic Studies Conference (Claremont, CA, 2011); Middle States Division, Assoc. of Am. Geographers Meeting (Union, NJ, 2011); New England-St. Lawrence Valley Geographical Society Conference (Worcester, MA, 2013); Urban History Assoc. Conference (Philadelphia, PA, 2014) Awards: Intel Science Talent Search Semi-Finalist, 2009; Coca-Cola Scholars Foundation Regional Scholar, 2009; Sodexo Foundation Stop Hunger Scholarship, 2010; Dept. of Defense SMART [Science, Mathematics And Research for Transformation] Scholarship Semi-Finalist, 2010; Smart Kids with Learning Disabilities Youth Achievement Award, 2009; Binghamton University- Sodexo Foundation Internship Program Grant, 2012. Publications: M. T. Sullivan, J. Strauss & D. S. Friedman (2012). Football discipline as a barometer of racism in English sport & society, 2004-2007: Spatial dimensions, Middle States Geographer, (45) pp. 27-35; D. Friedman, Y. Klein, J. Pillich & M. T. Sullivan (forthcoming). Sustainability planning, environmental justice and climate change: Applications of the Long Island MARKAL model, Journal of Suburban Sustainability
Michael Thomas Sullivan Sample Maps Sample Map 1 prepared for GEP 610: Spatial Analysis of Urban Health Sample Map 2 prepared for GEP 630: Geostatistics and Spatial Analytical Concepts Sample Map 3 prepared for D. Friedman, Y. Klein, J. Pillich & M. T. Sullivan (forthcoming). Sustainability planning, environmental justice and climate change: Applications of the Long Island MARKAL model, Journal of Suburban Sustainability.
Park Accessibility and the Impact on Exercise Manhattan Block Group Distance to Nearest Public Park Monthly Exercise Rate by UHF Zone Block Group Population Block Group Park Accessibility Population 0-1000 1001-1500 1501-2500 2501-4000 4001-15415 Public Parks Park Accessibility Distance to Nearest Park High (=< 1/8 Mile) Medium (1/8-1/4 Mile) Low (> 1/4 Mile) No Data Using Block Groups and Manhattan Pedestrian Streets, distance to nearest public park was calculated, using a road network. Park accessibility, an environmental good, is linked with health and well-being. Populations with high accessibility to public parks could see health benefits.the inability to detect indiviudalized park accessibility limits this analysis. Aggregated units like Block Groups do no detect where individuals are located. Individuals are opposite ends of the unit may have different park accessibility in reality, but are assigned the same accessibility in analysis. 0 1 2 Miles Percent of Population Exercised in Last 30 Days 82.8 79.4 81.5 66.3 70.1 59.3 Average Distance to Nearest Park (Feet) Using the determined distance to the nearest park and Block Group populations, a population weighted average distance to the nearest park was calculated for United Hospital Fund (UHF) Zones in Manhattan. The UHF Zone park accessibility was compared to UHF Zone exercise rates, percent of population exercising in last 30 days. It is assumed that with increased park accessibility, more people would exercise. This result was not found. Instead it was 87.1 seen that exercise rate decreased with increased accessibility Correlation: Exercise vs. Distance to Park: 0.316044683 The correlation of exercise and distance to the nearest park shows that with a 1% increase in the distance to the nearest park, there is a.3% increase in the percent of population exercising in the last 30 days. This result couldbe due to the inaccuracies in determining individualized park accessibility or due to the small sample size of the UHF Zones, 7. 883.26 657.63 649.07 1072.1 589.64 711.47 883.40 Sources: 1. NYC Dept. of Health and Mental Hygiene: Manhattan UHF Zones 2. NYC Dept. of Parks and Rec.; Manhattan Boro Outline, Manhattan Parks, Manhattan Park Access Points 3. NYC Dept. of Planning: Manhattan Streets 4. US Census: Block Groups with Population Michael Sullivan 3/18/2014