<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Unicairn</title><description>Transportation data science — turning data into evidence that planning agencies can act on.</description><link>https://unicairn.com/</link><item><title>The Diversity of Asian and Pacific Islander Experiences</title><link>https://unicairn.com/research/aapi-diversity-experiences/</link><guid isPermaLink="true">https://unicairn.com/research/aapi-diversity-experiences/</guid><description>Digging beneath aggregate Census data to understand how Asian, Native Hawaiian, and Pacific Islander experiences vary across heritages and geographies in the Puget Sound region — and how data analysts should approach small sample sizes in equity research.</description><pubDate>Wed, 11 May 2022 00:00:00 GMT</pubDate></item><item><title>The Quandary of Accessibility Metrics</title><link>https://unicairn.com/research/accessibility-metrics-quandary/</link><guid isPermaLink="true">https://unicairn.com/research/accessibility-metrics-quandary/</guid><description>We care a lot about accessibility in transportation planning — but measuring it in a way that is both easy to understand and statistically rigorous has proven surprisingly difficult. A look at three approaches and their tradeoffs.</description><pubDate>Fri, 11 Sep 2015 00:00:00 GMT</pubDate></item><item><title>Forecasting, Hindsight, and Autonomous Vehicles</title><link>https://unicairn.com/research/av-forecasting-hindsight/</link><guid isPermaLink="true">https://unicairn.com/research/av-forecasting-hindsight/</guid><description>What it&apos;s like to live long enough to revisit your own assumptions. Looking back at AV scenario work from 2014 — what aged well, what didn&apos;t, and why returning to old forecasts is one of the ways judgment actually gets built.</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Bicycling in the Puget Sound Region</title><link>https://unicairn.com/research/bicycling-puget-sound/</link><guid isPermaLink="true">https://unicairn.com/research/bicycling-puget-sound/</guid><description>Data from PSRC&apos;s 2014 Regional Travel Study on where people are biking, how bike mode share has grown since 1999, and who is — and isn&apos;t — on bikes.</description><pubDate>Tue, 26 May 2015 00:00:00 GMT</pubDate></item><item><title>Contradiction and Conflict Sits at the Heart of Planning</title><link>https://unicairn.com/research/contradiction-in-planning/</link><guid isPermaLink="true">https://unicairn.com/research/contradiction-in-planning/</guid><description>So much of planning and modeling work happens inside contradictions. The challenge isn&apos;t to eliminate complexity — it&apos;s to be honest about it, and keep showing up with curiosity and humility anyway.</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Discovering Household Travel Data Stories Through Collaboration</title><link>https://unicairn.com/research/hts-data-story-collaboration/</link><guid isPermaLink="true">https://unicairn.com/research/hts-data-story-collaboration/</guid><description>In 2020, the PSRC data team formed a working group to learn how Household Travel Survey data could inform urban planning policy. Here&apos;s what we found — on displacement, race, telework, deliveries, and modeling.</description><pubDate>Thu, 11 Mar 2021 00:00:00 GMT</pubDate></item><item><title>Research Agenda: Evidence, Decisions, and the Conditions That Connect Them</title><link>https://unicairn.com/research/research-agenda/</link><guid isPermaLink="true">https://unicairn.com/research/research-agenda/</guid><description>An overview of four connected research threads asking what it actually takes for rigorous analysis to change what gets built — and a fifth thread on evaluation in complex behavioral systems.</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate></item><item><title>The Score in Planning: What We Choose to Measure Changes What We Build</title><link>https://unicairn.com/research/score-in-planning/</link><guid isPermaLink="true">https://unicairn.com/research/score-in-planning/</guid><description>C. Thi Nguyên&apos;s book on gamification made me think about how planning metrics quietly reshape the world — how congestion relief, VMT reduction, and mode share each capture something real while missing something essential.</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI, Tacit Knowledge, and the Data We&apos;re Not Collecting</title><link>https://unicairn.com/research/stanford-ai-panel/</link><guid isPermaLink="true">https://unicairn.com/research/stanford-ai-panel/</guid><description>Notes from a Hoover Institution panel on AI and the workforce — on what LLMs can&apos;t inherit, and why underfunding household travel surveys is a structural risk to equitable AI.</description><pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate></item><item><title>What Does &apos;Transportation Need&apos; Mean at a 30-Year Horizon?</title><link>https://unicairn.com/research/transportation-need-30-year/</link><guid isPermaLink="true">https://unicairn.com/research/transportation-need-30-year/</guid><description>A case for measuring transportation need empirically — through experienced constraints rather than stated preferences — and why a small, stable set of questions could let us ask a simpler, more honest question about whether we&apos;re getting better or worse.</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Looking Back on Working From Home and Travel Forecasts</title><link>https://unicairn.com/research/wfh-forecast-lookback/</link><guid isPermaLink="true">https://unicairn.com/research/wfh-forecast-lookback/</guid><description>Round 2 of looking back at forecasts I made. The behavioral prediction was largely right. The system-level inference was not — and the difference matters for how we make promises about what planning can achieve.</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Women&apos;s Diverse Travel Needs Often Go Overlooked</title><link>https://unicairn.com/research/womens-travel-needs/</link><guid isPermaLink="true">https://unicairn.com/research/womens-travel-needs/</guid><description>An analysis of PSRC household travel survey data showing how women&apos;s trip patterns, transit use, and travel burdens differ by race, income, and age — and what planning should do about it.</description><pubDate>Tue, 28 Mar 2023 00:00:00 GMT</pubDate></item></channel></rss>