Exploring the invisible water insecurity of water utility shutoffs in Detroit, Michigan.

A lack of regular access to clean and safe water and sanitation is a persistent problem in many parts of the world. Most water insecurity studies focus on the world's less-industrialized and lower-income countries, where sanitation and water delivery infrastructure may never have existed. However, many individuals in higher-income countries experience invisible water insecurity, wherein specific households or individuals lack access to sanitation and clean water despite the relative wealth of their country. In the United States, invisible water insecurity tends to manifest as a result of homelessness, a lack of plumbing facilities, and water utility shut-offs. Using a water shut-off dataset from the Detroit Water and Sewerage Department, we investigate the relationship between a suite of demographic variables and the water shut-off rates in different neighborhoods throughout Detroit, Michigan. We find that shut-offs are more common in areas with more Black households that are more impoverished. Our findings indicate that this relationship links to structural disadvantage resulting from a legacy of racism and segregation in the city.

Hurricane storm surge in Volusia County, Florida: evidence of a tipping point for infrastructure damage.

Storm surge often is the most destructive consequence of hurricanes and tropical storms, causing significant economic damage and loss of life. Many coastal communities that are located in high-risk areas vis-à-vis hurricanes and tropical storms are prepared for moderate (between six and eight feet) storm surges. Such preparation, though, is not commensurate with more severe, but less frequent, storm surges (greater than eight feet). These gaps in preparedness have serious implications for community resilience. This paper explores elements of the vulnerability and resilience of coastal communities during major storm surge events, drawing on Volusia County, Florida, United States, as a case study. It simulates the impacts of five hurricanes (Categories I-V) and their associated storm surges on local infrastructure systems, populations, and access to resources. The results suggest that Volusia County is subject to a 'tipping point' , where surge damage from Category IV storms is significantly greater than that from Category III and lower hurricanes.

'Unmasking' masked address data: A medoid geocoding solution.

In recent years, there has been a consistent push for more open data initiatives, particularly for datasets collected by public agencies or groups that receive public funding. However, there is a tension between the release of open data and the preservation of individual and household privacy, whose balance shifts due to increased data availability, the sophistication of analysis techniques, and the computational power available to users. As a result, data masking is a standard tool used to preserve privacy. This is a process in which the data publishers obfuscate some identifying features in the dataset while attempting to maintain as much accuracy and precision as possible. For spatial datasets, the geocoding of administratively-masked data has been a consistent problem. Here, we present a medoid-based technique that geocodes masked data while minimizing the spatial uncertainty associated with the masking approach. Unfortunately, many commercial geocoding software packages either fail to geocode administratively-masked data or provide false positives by assigning points to city or street centroids. We demonstrate the results of our medoid-based geocoding approach by comparing it to commercial geocoding software. The results suggest that a medoid geocoding approach is mechanically simple to deploy and maximizes the spatial accuracy of the resulting geocodes.•Administratively-masked data are difficult to geocode•A medoid geocoding method maximizes geocoding accuracy•This method outperforms commercial geocoding software.

A broadband integrated time series (BITS) for longitudinal analyses of the digital divide.

To evaluate actions taken to implement the Telecommunications Act of 1996, the primary goal of which was to foster competition in the industry, the FCC created a standardized form (Form 477) to collect information about broadband deployment and competition in local telephone service. These data represent the best publicly available record of broadband provision in the United States. Despite the potential benefits offered by this database, there are several nuances to these data related to shifting geographies and reporting requirements that uncorrected, prevent them from being used as an uninterrupted time series for longitudinal analyses. Given the analytical challenges associated with the FCC Form 477 data, the purpose of this paper is to present a solution to the fragmented nature of these data which prevents meaningful longitudinal analyses of the digital divide. Specifically, this paper develops and describes a procedure for producing an integrated broadband time series (BITS) for the last decade (2008-2018). This includes the procedures for using these data, their value to social and economic analysis, and their underlying limitations. The core contribution of this paper is the creation of data infrastructure for investigating the evolution of the digital divide.