Matthew Conway

Ph.D. Geography, School of Geog Sci & Urban Pln

Long Bio

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.

Education

2019 - MA (Geography), Arizona State University.

2014 - BA (Geography), University of California, Santa Barbara (Highest Honors)

Curriculum Vitae

Research Website URL

Research Website

Google Scholar URL

Google Scholar Profile

Publications

8. Conway, M. W., Salon, D., Capasso da Silva, D., Mirtich, L. (2020). How will the COVID-19 pandemic affect urban life? Early evidence from highly-educated respondents in the United States. Urban Science, 4(4), article 50. doi:10.3390/urbansci4040050 (open access).

7. King, D. A., Conway, M. W., & Salon, D. (2020). Do for-hire vehicles provide first mile/last mile access to transit? Transport Findings. doi:10.32866/001c.12872 (open access).

6. Conway, M. W. and Stewart, A. F. (2019). Getting Charlie off the MTA: A multiobjective optimization method to account for cost constraints in public transit accessibility metrics. International Journal of Geographical Information Science 33 (9): 1759–1787. doi:10.1080/13658816.2019.1605075 (also available as an open access postprint).

5. 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 (open access).

4. Conway, M. W., Salon, D., & King, D. A. (2018). Trends in taxi use and the advent of ridehailing, 1995â€“2017: Evidence from the US National Household Travel Survey. Urban Science, 2(3), 79â€“23. doi:10.3390/urbansci2030077 (open access).

3. 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), 541â€“558. doi:10.5198/jtlu.2018.1074 (open access).

2. 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, 45â€“53. doi:10.3141/2653-06 (also available as an open access postprint).

1. Green, B., Caro, A., Conway, M. W., Manduca, R., Plagge, T., & Miller, A. (2015). Mining administrative data to spur urban revitalization. Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Industry Positions

Project Manager/Software Developer, Conveyal, October 2014-July 2017

Expertise Areas

Transportation Planning

Computational Spatial Science