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Lecture: "Enhancing Transportation Equity Analysis for Long-Range Planning and Decision-Making" (UC Berkeley, 5/17)

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  • Asha Weinstein Agrawal
    ... From: ITS at UC Berkeley Date: Wed, May 15, 2013 at 10:36 AM Subject: [ITS] Friday Seminar - May 17 - Tierra Bills -
    Message 1 of 1 , May 15, 2013
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      ---------- Forwarded message ----------
      From: ITS at UC Berkeley <its.fridayseminar@...>
      Date: Wed, May 15, 2013 at 10:36 AM
      Subject: [ITS] Friday Seminar - May 17 - Tierra Bills - Enhancing
      Transportation Equity Analysis for Long-Range Planning and
      Decision-Making

      * Friday Transportation Seminar Series *

      Friday, May 17, 2013

      2 - 3 p.m. in 502 Davis Hall, UC Berkeley

      Tierra Bills

      Ph.D. Candidate
      Department of Civil and Environmental Engineering
      University of California, Berkeley

      Enhancing Transportation Equity Analysis for Long-Range Planning and
      Decision-Making

      Abstract: Metropolitan Planning Organizations (MPOs) regularly perform
      equity analyses for their long-range transportation plans. These
      regional-level plans may propose hundreds of transportation
      infrastructure and policy changes (e.g. highway and transit
      extensions, fare changes, pricing schemes, etc.), and the challenge is
      to assess the distribution of impacts from all the proposed changes
      across different population segments, and confirm that lower income
      and minority groups will share equitably in the benefits and not be
      overly adversely impacted. However, current methods used in
      transportation equity analyses lack statistically grounding and fail
      to paint a comprehensive picture of what groups benefit or do not
      benefit from the transportation improvements.

      In this presentation, an analytical framework for
      transportation equity analysis is presented and demonstrated using the
      Metropolitan Transportation Commission�s Activity-based Travel Model
      and recently developed transportation and land-use scenarios. This
      framework extends the existing capacity for regional transportation
      equity analysis by leveraging the disaggregate functionality of the
      travel model and simulating the changes in individual-level travel
      measures. The findings of this San Francisco case-study show that
      while average travel measures suggest that all travelers are likely to
      benefit, the distributional measures reveal that as much as 30% of low
      income travelers (compared to 13% of high income travelers) are likely
      to be negatively impacted by various planning actions. This confirms
      that distributional comparison is critical for identifying the winners
      and losers that result from transportation planning scenarios, as well
      as testing that defined equity criteria are satisfied.

      Bio: Tierra Bills is a PhD Candidate in Civil and Environmental
      Engineering at the University of California, Berkeley. She received a
      M.S. in Civil and Environmental Engineering from UC Berkley in 2009,
      and a B.S. in Civil Engineering Technology at Florida A&M University
      in 2008. Tierra�s research interests include travel behavior,
      transportation equity, emerging data resources, policy analysis, and
      transportation planning and decision making.


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