Current Research

Research Interests: Human-Infrastructure Interactions; Management of critical, civil infrastructure systems; Interdependencies; Vulnerabilities in various categories of cities at the interface of engineering and policy; Impact assessment of population dynamics on the built environment; Shrinking cities; Water sector infrastructure

RAPID/Collaborative Research: Disaster Migration and Civil Infrastructure: The Impacts of Sudden Population Influxes on Water and Sanitation Infrastructure
National Science Foundation, CMMI
Award Number: 1624409; Principal Investigator: Kasey Faust (with Principal Investigator: Jessica Kaminsky at the University of Washington)
Qualitative analyses exploring how normative and cultural-cognitive perturbations, caused by sudden and large population influxes, impact established water and sanitation utilities and housing accommodations. The first phase of this NSF-funded research collaboration is exploring changes in the organizational structure and process of utilities and local governments in the German cities of Munich, Berlin, and Leipzig in response to the current European refugee crisis.

Socioeconomic Shifts in Population: The Impact of Gentrification on Water Infrastructure Services
Case study: Austin, TX; Network analyses and hydraulic modeling of the shifting water use trends (characteristic to different socioeconomic statuses) to measure the impact on the pressures, fire flows, energy, and water age

Temporal Dynamics of Public Perceptions towards Water Sector Infrastructure before and after the Flint Water Crisis
Survey analyses, qualitative and content analyses, and statistical and econometric modeling of responses from of 21 US shrinking cities (including Flint, MI) of surveys developed and deployed before and after the Flint Water Crisis to assess the temporal dynamics of trust; participatory processes; usage of bottled water/tap water for household tasks; perceived financial responsibility of infrastructure; public knowledge of physical infrastructure system; perception towards infrastructure alternatives; and willingness to pay for services

Stated Preference versus Revealed Preference: The Case of Water Use and Conservation
Case Study: Austin, TX; Survey analyses, qualitative and content analyses, and statistical and econometric modeling of responses from the general public in Austin matched with respondent specific billing/consumption data (provided by the utility) to assess how perceived conservation and measurable conservation differ; how location throughout city impacts water use and conservation; how demographics impact usage of bottled and tap, with regard to perceived odor and taste; and the disconnect of knowledge regarding infrastructure responsibility post water meter

When Does a Right become a Service?
Case Study: Germany general public; Survey analyses and statistical and econometric modeling of the general public perceptions and attitudes towards the provision of different levels of service over different time frames for refugees

Food Desert Modeling and Optimization: A Systematic Approach to Expanding Food Access
Case study: Austin, Texas; modeling food deserts using object oriented programming to simulate how the agents within a neighborhood access food markets; assessment of system-wide infrastructure disruptors to increase accessibility or eliminate food deserts in low-income areas

Estimating Man-Hours for Bridge Replacement Projects
Case study: Texas; Qualitative and content analyses and statistical and econometric modeling of 40 bridge replacement projects, using supporting construction documents, contracts, and subject matter experts, to understand the drivers of and predict man-hour requirements