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Matthew Wigginton Conway is PhD student in the School of Geographical Sciences and Urban Planning. His research interests are in urban transportation, transportation demand modeling, and public transport. He moved to Arizona from Washington, DC, where he was a project manager and software developer at Conveyal, providing public transport accessibility analysis to primarily public-sector clients wishing to improve their transit systems.
Prior to working at Conveyal, Matthew was a fellow in the Data Science for Social Good program at the University of Chicago, where his team partnered with the city of Memphis, Tennessee, to identify and explore the impact of distressed and abandoned properties.
Matthew has also held internships at the San Francisco Municipal Transportation Agency, OpenPlans, and Bay Area 511 (SAIC contractor). He holds a bachelor's degree in Geography from the University of California, Santa Barbara.
2014 - BA (Geography), University of California, Santa Barbara (Highest Honors)
Salon, D., Conway, M. W., Wang, K., & Roth, N. (2019). Heterogeneity in the relationship between biking and the built environment. Journal of Transport and Land Use, 12(1), 99–126. doi:10.5198/jtlu.2019.1350.
Conway, M. W., Salon, D., & King, D. A. (2018). Trends in taxi use and the advent of ridehailing, 1995–2017: Evidence from the US National Household Travel Survey. Urban Science, 2(3), 79â€“23. doi:10.3390/urbansci2030077.
Conway, M. W., Byrd, A., & van Eggermond, M. (2018). Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning. Journal of Transport and Land Use, 11(1), 541–558. doi:10.5198/jtlu.2018.1074.
Conway, M. W., Byrd, A., & van der Linden, M. (2017). Evidence-based transit and land use sketch planning using interactive accessibility methods on combined schedule and headway-based networks. Transportation Research Record, 2653, 45–53. doi:10.3141/2653-06 (also available as an open access preprint).