The Future of Transportation in Ohio – All Sides with Ann Fisher (WOSU)

I was a guest on the WOSU show All Sides with Ann Fisher to discuss passenger rail and the future of transportation in Ohio.  Other guests include: Thea Ewing (Director of Transportation and Infrastructure Development, Mid-Ohio Regional Planning Commission) and Marc Magliari (Amtrak spokesperson).

Good conversation!  Recording is posted at the episode webpage:

Urban Sustainability Observatories: Leveraging Urban Experimentation for Sustainability Science and Policy

Cities are complex systems, and sustainability is a wicked problem. How should we approach sustainable urban systems science and policy? In this paper published in Harvard Data Science Review, we discuss the concept of data-enabled urban sustainability observatories that leverage real-world experimentation for deeper understanding and better policies.

Miller, H.J., Clifton, K., Akar, G., Tufte, K. Gopalakrishnan, S., MacArthur, J., Irwin, E., Ramnath, R., Stiles, J. (2021) “Urban sustainability observatories: Leveraging urban experimentation for sustainability science and policy,Harvard Data Science Review, 3.2, DOI: 10.1162/99608f92.2025202b

Abstract

Humanity is experiencing revolutionary changes in the 21st century, including accelerating urbanization, the introduction of disruptive mobility technology services, and new sources of data generated and consumed by urban and mobility processes. However, the environmental, social, and economic sustainability implications of these new mobility services are unclear given the complex nature of urban systems and the multifaceted, contested nature of sustainability goals. In this article, we discuss the concept of urban sustainability observatories that leverage urban experimentation through ongoing data collection and analysis capabilities. The goal is to generate new scientific insights and design effective policies to meet sustainability goals for cities. We outline their functional requirements and related research challenges. We also discuss challenges in building and sustaining these observatories and how university, community, and industry partnerships may establish successful observatories that serve as critical drivers of research, technology transfer, and commercialization.

Keywords: data observatory, sustainability, urban experimentation, geospatial data, mobility data

Opioid treatment deserts

The latest outcome from our opioid overdose mapping project: we find disparities across neighborhoods and racial groups in access to opioid treatment providers:

Hyder A, Lee J, Dundon A, Southerland LT, All D, Hammond G, and Miller, H.J. (2021) Opioid Treatment Deserts: Concept development and application in a US Midwestern urban county. PLoS ONE 16(5): e0250324. https://doi.org/10.1371/journal.pone.0250324

Abstract

Objectives.  An Opioid Treatment Desert is an area with limited accessibility to medication-assisted treatment and recovery facilities for Opioid Use Disorder. We explored the concept of Opioid Treatment Deserts including racial differences in potential spatial accessibility and applied it to one Midwestern urban county using high resolution spatiotemporal data.
Methods

We obtained individual-level data from one Emergency Medical Services (EMS) agency (Columbus Fire Department) in Franklin County, Ohio. Opioid overdose events were based on EMS runs where naloxone was administered from 1/1/2013 to 12/31/2017. Potential spatial accessibility was measured as the time (in minutes) it would take an individual, who may decide to seek treatment after an opioid overdose, to travel from where they had the overdose event, which was a proxy measure of their residential location, to the nearest opioid use disorder (OUD) treatment provider that provided medically-assisted treatment (MAT). We estimated accessibility measures overall, by race and by four types of treatment providers (any type of MAT for OUD, Buprenorphine, Methadone, or Naltrexone). Areas were classified as an Opioid Treatment Desert if the estimate travel time to treatment provider (any type of MAT for OUD) was greater than a given threshold. We performed sensitivity analysis using a range of threshold values based on multiple modes of transportation (car and public transit) and using only EMS runs to home/residential location types.

Results. A total of 6,929 geocoded opioid overdose events based on data from EMS agencies were used in the final analysis. Most events occurred among 26–35 years old (34%), identified as White adults (56%) and male (62%). Median travel times and interquartile range (IQR) to closest treatment provider by car and public transit was 2 minutes (IQR: 3 minutes) and 17 minutes (IQR: 17 minutes), respectively. Several neighborhoods in the study area had limited accessibility to OUD treatment facilities and were classified as Opioid Treatment Deserts. Travel time by public transit for most treatment provider types and by car for Methadone-based treatment was significantly different between individuals who were identified as Black adults and White adults based on their race.

Conclusions.  Disparities in access to opioid treatment exist at the sub-county level in specific neighborhoods and across racial groups in Columbus, Ohio and can be quantified and visualized using local public safety data (e.g., EMS runs). Identification of Opioid Treatment Deserts can aid multiple stakeholders better plan and allocate resources for more equitable access to MAT for OUD and, therefore, reduce the burden of the opioid epidemic while making better use of real-time public safety data to address a public health epidemic that has turned into a public safety crisis.