Social and Behavioral Sciences Commons^™

Patterns Of Infringement, Risk, And Impact Driven By Coal Mining Permits In Indonesia, Tim T. Werner, Tessa Toumbourou, Victor Maus, Martin C. Lukas, Laura J. Sonter, Muhamad Muhdar, Rebecca K. Runting, Anthony J. Bebbington

Geography

Coal mining is known for its contributions to climate change, but its impacts on the environment and human lives near mine sites are less widely recognised. This study integrates remote sensing, GIS, stakeholder interviews and extensive review of provincial data and documents to identify patterns of infringement, risk and impact driven by coal mining expansion across East Kalimantan, Indonesia. Specifically, we map and analyse patterns of mining concessions, land clearing, water cover, human settlement, and safety risks, and link them with mining governance and regulatory infractions related to coal mining permits. We show that excessive, improper permit granting and insufficient …

Emerging Hot Spot Analysis To Indicate Forest Conservation Priorities And Efficacy On Regional To Continental Scales: A Study Of Forest Change In Selva Maya 2000-2020, Nicholas Cuba, Laura A. Sauls, Anthony J. Bebbington, Denise Humphreys Bebbington, Avecita Chicchon, Pilar Delpino Marimón, Oscar Diaz, Susanna Hecht, Susan Kandel, Tracey Osborne, Rebecca Ray, Madelyn Rivera, John Rogan, Viviana Zalles

Geography

Despite the importance of preserving contiguous tropical forest areas to maintain biodiversity and terrestrial carbon stocks, methodological challenges continue to hinder broad-scale analysis of threats to these forests. Emerging Hot Spot Analysis (EHSA) is a spatial-statistical method that conveys complex information about the temporal dynamics of deforestation across a range of moderate to coarse spatial scales. Using Global Forest Change (GFC) data as inputs, EHSA produces spatially comprehensive, gridded outputs that represent a standardized, reproduceable way to instantiate contiguous forest tracts as spatial objects. Doing so allows aggregation of other GFC-derived values and analysis of alternative geographic configurations besides sub-national …

Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian

Geography

Snow avalanches impose a considerable threat to infrastructure and human safety in snow bound mountain areas. Nevertheless, the spatial prediction of snow avalanches has received little research attention in many vulnerable parts of the world, particularly in developing countries. The present study investigates the applicability of a stand alone convolutional neural network (CNN) model, as a deep learning approach, along with two metaheuristic algorithms including grey wolf optimization (CNN-GWO) and imperialist competitive algorithm (CNN-ICA) in snow avalanche modelling in the Darvan watershed, Iran. The analysis was based on thirteen potential drivers of avalanche occurrence and an inventory map of previously …

Spatial Patterns Of Adverse Birth Outcomes Among Black And White Women In Massachusetts – The Role Of Population-Level And Individual-Level Factors, Yelena Ogneva-Himmelberger, Madeline Haynes

Sustainability and Social Justice

This study explores spatial distribution of adverse birth outcomes (ABO), defined as low birth weight (<=2500 g) and preterm deliveries (gestational age <37 weeks), in black and white mothers in the state of Massachusetts, USA. It uses 817877 individual birth records from 2000-2014 aggregated to census tracts (census enumeration unit with population of approximately 4500 people). To account for small numbers of births in some tracts, an Empirical Bayes smoother algorithm is used to calculate ABO rates. The study applies ordinary least squares (OLS) and spatial regression to examine the relationship between ABO rates, seven individual-level factors from birth certificates and nine population-level factors (income level, education level, race) from census data. Explanatory power of these factors varies between the two races. In models based only on individual-level factors, all seven factors were significant (p<0.05) in the black mothers’ model while only three were significant in the white mothers’ model. Models based only on population-level variables produced better results for the white mothers than for black mothers. Models that included both individual and population-level variables explained 40% and 29% of ABO variance for black and white women respectively. The findings from this study give health-care providers and health-care policy-makers important information regarding ABO rates and the contributing factors at a local level, thus enabling them to isolate specific areas with the highest need for targeted interventions.

Analyzing The Relationship Between Perception Of Safety And Reported Crime In N Urban Neighborhood Using Gis And Sketch Maps, Yelena Ogneva-Himmelberger, Laurie Ross, Thomas Caywood, Marina Khananayev, Casey Starr

Sustainability and Social Justice

This study analyzes the perception of safety among residents of Main South neighborhood in Worcester, MA, USA and compares it to reported crimes. This neighborhood is the focus of a community-based crime reduction project funded by the Bureau of Justice Assistance, the policy development arm of the U.S. Department of Justice. We collected social disorder and violent crime data from the Worcester Police Department and conducted 129 household surveys to understand residents’ perception of safety in the neighborhood and trust in community institutions. The surveys included a map on which residents indicated where they felt unsafe. The goal of this …

Wdph 2017 Summer Internship Report, Lauren Meininger

Mosakowski Institute for Public Enterprise

In the spring of 2014, the Worcester Division of Public Health, UMass Memorial Health Care, and Clark University’s Mosakowski Institute for Public Enterprise joined forces to begin developing a partnership that would combine academic resources, student input, and public health needs in the City of Worcester. Founders of this program were motivated to seek and implement innovative interventions for public health issues while simultaneously inspiring a new generation of public health professionals.

Each year, the Academic Health Collaborative of Worcester (AHCW) brings in student interns to work on the pressing public health issues of the moment. Interns work alongside epidemiologists, …

Implications Of Using 2 M Versus 30 M Spatial Resolution Data For Suburban Residential Land Change Modeling, S. D. Blanchard, R. G. Pontius, K. M. Urban

Geography

This study assesses the advantages and disadvantages of using 2 m spatial resolution data versus 30 m resolution data for a simulation model of land-use and land-cover change (LUCC). The model projects LUCC from 2005 to 2055 in the town of Lynnfield, Massachusetts, USA. This article describes four scenario storylines and then projects land-use and land-cover under each of the four scenarios with 2 m data and again with 30 m data. The disagreement between the 2 m output and its corresponding 30 m output ranges between 5.7% and 11.0% of the town. The disagreement due to allocation over small …

Vulnerability-Based Spatial Sampling Stratification For The National Children's Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental And Sociodemographic Variability, Timothy Downs, Yelena Ogneva-Himmelberger, Onesky Aupont, Yangyang Wang, Ann Raj, Paula Zimmerman, Robert Goble, Octavia Taylor, Linda Churchill, Celeste Lemay, Thomas Mclaughlin, Marianne Felice

Sustainability and Social Justice

Background: The National Children's Study is the most ambitious study ever attempted in the United States to assess how environmental factors impact child health and development. It aims to follow 100,000 children from gestation until 21 years of age. Success requires breaking new interdisciplinary ground, starting with how to select the sample of > 1,000 children in each of 105 study sites; no standardized protocol exists for stratification of the target population by factoring in the diverse environments it inhabits. Worcester County, Massachusetts, like other sites, stratifies according to local conditions and local knowledge, subject to probability sampling rules.Objectives: We answer …