Browsing by Author "Zhang, Mingming"
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Item Accessing Opportunity: Employment and Community Patterns among Low-, Medium-, and High-Wage Workers in Houston(Kinder Institute for Urban Research, 2018) Wu, Jie; Hu, Yujie; Zhang, Mingming; Patterson, GrantProximity to jobs is important for all residents as it can affect employment outcomes, but it is especially crucial for low-income households whose budgets can be disproportionately impacted by transportation costs and long commutes. This report uses data from the Longitudinal Employer-Household Dynamics (LEHD) program, the American Community Surveys and other survey data to explore the geographical movement of workers in an urban setting. The purpose of the work presented here is to document differences in commuting patterns among different income groups and to inform the development of programs designed to enhance the physical and economic mobility of Houston’s labor force.Item Collaborations and Overlapping Services in Harris County Law Enforcement(Kinder Institute for Urban Research, 2018) Shelton, Kyle; Fulton, William; Villegas, Carlos; Krause, Matthew; Zhang, Mingming; Lightbourne, JessecaIn Harris County, there are more than 60 law enforcement agencies. In general, these agencies provide a high level of service to area residents. However, there are possible efficiencies and improvements to be found. The funding that supports these entities mostly comes from local general funds and, on average, accounts for about 30 percent of local government budgets. The sheer number of agencies creates multiple overlapping services and duplicative costs. While several existing collaborations between local agencies have been successful, this more in-depth look at local law enforcement operations lays out possible options for improving service and cutting costs.Item Hurricane Harvey Relief Fund Needs Assessment: Phase One(Kinder Institute for Urban Research, 2017) Wu, Jie; Zhang, Mingming; Villegas, Carlos; Patterson, Grant; Shelton, Kyle; Love, Samantha; Lightbourne, Jesseca; Wowk, Kateryna (Katya)This document represents the first phase of the Kinder Institute for Urban Research’s needs assessment work on behalf of the Greater Houston Community Foundation and the Hurricane Harvey Relief Fund. This fund was jointly created by Harris County Judge Ed Emmett and Houston Mayor Sylvester Turner to accept private donations to aid in hurricane relief and recovery. The report includes an analysis of 211, 311, and Federal Emergency Management Agency (FEMA) Individual Assistance (IA) data. These three datasets begin the process of identifying key needs post-Harvey and areas that were hardest hit. This analysis is the first step in what will be a much deeper damage assessment intended for phase two.Item Hurricane Harvey Relief Fund Needs Assessment: Phase Two(Kinder Institute for Urban Research, 2018) Wu, Jie; Zhang, Mingming; Park, John; Villegas, Carlos; Patterson, Grant; Shelton, KyleThis report represents the second phase of the Kinder Institute for Urban Research’s needs assessment work on behalf of the Greater Houston Community Foundation and the Hurricane Harvey Relief Fund. This document includes an updated analysis of zip code level 211 data from October 11 to November 30, 2017, Federal Emergency Management Agency (FEMA) Individual Assistance (IA) data as of December 5, 2017, and FEMA Individual and Households Program (IHP) data as of December 20, 2017, all for Harris County. This report includes a summary of the data provided by the American Red Cross’ Coordinated Assistance Network (CAN) as of January 5, 2018 (this information was not in the Phase One report). In addition, this report includes a damage assessment for Harris County presented at the census block group level. This assessment combines data from the City of Houston, Harris County and multiple non-profit groups. Summaries of several of the largest needs assessments undertaken since Hurricane Harvey are also included here.Item Neighborhood Gentrification across Harris County: 1990 to 2016(Kinder Institute for Urban Research, 2018) Choudary, Wendie; Wu, Jie; Zhang, MingmingThe purpose of this framing report is to document recent neighborhood changes indicative of gentrification and to inform the development of strategies to support equitable revitalization instead. This report uses data from the various sources including the U.S. Decennial Censuses, American Community Surveys, Neighborhood Change Database and other data to understand neighborhood change in Houston by defining gentrified neighborhoods and identifying its mechanisms across Harris County. Specifically, this report identifies which neighborhoods experienced gentrification between different time periods, showcasing a typology of gentrification across Harris County. The susceptibility index and case studies further illustrate neighborhoods at higher risk of gentrification pressures. We created a web-based data tool at www.datahouston.org/story/gentrification.Item Staying at home may have saved 4,533 lives in Harris County so far(Kinder Institute for Urban Research, 2020) Wu, Jie; Zhang, Mingming; Wang, KatieBased on epidemiologists’ COVID-19 models, the Kinder Institute's Houston Community Data Connections Team estimated the number of hospitalizations and deaths that can be prevented in Harris County between March 24 and June by collective adherence to the city of Houston's and Harris County's stay-at-home orders.