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Socio-economic issues (urban growth & human heath)

Socio-economic issues (urban growth & human heath). Major research questions. Where to locate land uses (binationally) Mortality & morbidity related to environmental quality (unpaved roads, air pollution, ……) Predict where growth would occur and downstream impacts

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Socio-economic issues (urban growth & human heath)

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  1. Socio-economic issues(urban growth & human heath)

  2. Major research questions • Where to locate land uses (binationally) • Mortality & morbidity related to environmental quality (unpaved roads, air pollution, ……) • Predict where growth would occur and downstream impacts • Modeling of land use and transportation needs (evacuation as well as work related, within watershed vs. county) • Pilot projects along the border to use GIS/layers and determine applicability at community level • Land ownership • Effects of costs and benefits of treating waste water/air quality • Flood hazard in urban areas • Underlying incentives and what leads to urban growth • Rural areas concern for water supply/quality • Population growth (water availability, urban planning ….)

  3. Data issues • How data are reported (both health, census and environmental) • Access to data • Standardization – health and environment • private versus public health data • Accuracy esp. in rural areas • Time frame representation - Real time data • Resolution • Cost • Economic issues on using information • Population census not frequent enough to keep up with population changes – demand based on income level • Need to conduct focused surveys • Change detection issues • Depoliticize data (greater public access to data currently available) • Infrastructure projects lacking interface

  4. Scale issues • Scale will be determined by particular research questions • Raw formats require general conversions and projection changes

  5. Progress made • SCERP project has created tons of data and models, economics, natural resources (holistic) • Technology (water supply, software compatibility, data analysis integration) • sharing data/making data available • USGS and INEGI partnership • Health data comparability (ICD 9 & 10) • USGS working with SGM (Servicio (?) Geologico Mexicano) • Border Health Viewer (EROS data etc..) • Partnerships (national, municipal, local) • state and municipal industries are more open to using GIS • Border Environmental Health progress • standards for shapefiles (projections etc..) • Agua peria and Yaquo success story for USGS in terms of infrastructure • ESRI donating software to government agencies involved and universities that bridge inoperability issues

  6. Barriers to overcome • Time constraints • Money • Standardization • Language • Scale • Data sharing problems in both public and private sectors • Proprietary nature of data • Obtaining data • Continuity of data • Need to make data more useful for pulling up statistics and meaning • Lack of awareness & communication of needs • Lack of trained students • Private industry (ESRI) with exclusive contracts.

  7. Recommendations • Website containing list of data sources, available data ……

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