Ohio State chosen as a Beyond Traffic Innovation Center by the USDOT

U.S. Transportation Secretary Anthony Foxx announced this week that The Ohio State University has been named one of 18 institutions across the country to lead research on transportation challenges outlined in the Department of Transportation’s Beyond Traffic 2045 report.

As a Beyond Traffic Innovation Center, Ohio State is recognized as a forward-thinking and influential institution capable of driving solutions to these challenges by convening decision-makers in the Great Lakes megaregion and coordinating related research, curriculum, outreach and other activities. Due to its location in the center of the country, the Great Lakes megaregion sits at the heart of the U.S. transportation network.

More information

Big Data for healthy cities

Miller H.J. and Tolle K. (2016), “Big Data for healthy cities: Using location-aware technologies, open data and 3D urban models to design healthier built environments,” Built Environment, 42, 441-456.

Abstract:  A healthy city is a built environment that encourages physical, mental and social wellbeing. Few neighbourhoods and communities in the United States and increasingly elsewhere in the world are healthy places. A major factor is changes in built environments and lifestyles that have not only eliminated physical activity from daily lives but can also make physical activity unpleasant, unhealthy and unsafe. The development and deployment of sensors connected to location-aware technologies are improving the scientific understanding of built environment characteristics that facilitate healthy and safe physical activity. This paper argues that integrating data from these with new sources of urban data can allow for deeper understanding of the intricate relationships between individuals, environments and healthy places. We discuss the need for an integrated, ecological approach to understanding healthy places and the role of location aware technologies, open data and 3D urban models in facilitating this approach. We also identify major challenges to this approach, including privacy protection.

Transportation network design for maximizing space–time accessibility

Tong, L., Zhou, X.  and Miller, H.J. (in press) “Transportation network design for maximizing space–time accessibility,” Transportation Research Part B: Methodologicaldoi:10.1016/j.trb.2015.08.002

Abstract.  One of the goals of transportation system construction and management is to improve individuals’ accessibility or the ease of reaching desired activities, destinations and services. However, many transportation network design models instead focus on maximizing individuals’ mobility or the ease of movement within the network. By adapting a space–time prism analysis framework, this paper aims to address a new urban network design problem to maximize the system-wide transportation accessibility between major activity locations, subject to a given highway construction budget. By constructing a time-dependent space–time network, we formulate the problem as a linear integer programming model to maximize the number of accessible activity locations within travel time budget for road users. A Lagrangian relaxation solution framework effectively decomposes the original complex problem into classical subproblems such as knapsack and time-dependent least cost problems. Various examples and discussions are provided to consider the effectiveness of the proposed method in modeling accessibility-enhancement strategies such as congestion mitigation and land use policies.