class: center, middle, inverse, title-slide # Introduction to the New Module of Multimodal Travel (VETravelDemand) ## VisionEval Review Team Meeting #2 ### Liming Wang ### August 3rd, 2017 --- <style> @page { size: 1210px 681px; margin: 0; } @media print { .remark-slide-scaler { width: 100% !important; height: 100% !important; transform: scale(1) !important; top: 0 !important; left: 0 !important; } } </style> # Outline - Why the new module? - Travel outcomes considered - Model structure - Data for model estimation - Model specification --- # Why the new module? > A deeper understanding of how mode choices and mode share may be impacted by policy and investment decisions > Research the key drivers of multi-modal analysis, as they relate to individual households, annual household travel, household budgets and price sensitivity. The research will explore travel survey (household and transit) and consumer expenditure data. The general research findings will support planning questions on these topics, and will bolster ODOT, region, and local analysis capabilities specifically by implementing a module that can be plugged into existing tools (RSPM) --- # RSPM Design ![Overview of RSPM Steps](data:image/png;base64,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) --- # Objectives - Development models for multimodal travel: Driving, Transit, Bike, Walk - At a minimum, update RSPM household VMT module with latest data - Implement the new models for RSPM (original plan) --- # Travel outcome considered - Household VMT - Daily VMT - Annual average daily VMT - PMT for Transit, Bike, and Walk (PMT model) - Trip frequency and average trip length for Transit, Bike, and Walk (TFL model) --- # Model structure - 2-step models: 1. binomial logistic regression of zero VMT/PMT 2. power-transformed/semi-log regression model of non-zero VMT/PMT - hurdle model and zero-inflated negative binomial: - Transit, Bike, and Walk trip frequency - Tobit model - VMT/PMT, average trip length --- # Data for model estimation - 2009 National Household Travel Survey (NHTS) with confidential residence block group information - EPA Smart Location Database: nationwide built environment/urban form at the block group level - HMPS: UZA-level roadway characteristics - NTD: UZA-level transit supply --- # Variables - 1 - [Variable "cheatsheet" (credit Tara Weidner)](https://cities-lab.github.io/SPR788/RSPM-TFLmodelVariables_May2017.pdf) - Household social-economic status: - HHSize, life cycle, #workers, income, drivers, vehicles per driver, # children, # retirees, dwelling type - Regionwide variables: - Transportation system supply: freeway lane miles per capita, arterial lane miles per capita, transit revenue miles per capita - Size (area, population, employment), density --- # Variables - 2 - 5D built environment measures (home location): - Density: du/acre (D1A), population/acre (D1B), employment/acre (D1C), activity (pop+emp)/acre (D1D) - Diversity: Emp & HH entropy (D2A_EPHHM) - Design: Lane mile ped‐oriented density/sqmi (D3apo), Intersection density‐4+ leg multi‐modal/sqmi (D3bmm4), Intersection density‐4+ leg ped‐oriented/sqmi (D3bpo4) - Transit: %CBG employment within 1⁄2 mile of fixed‐ guideway transit stop (D4b050), PM Peak transit svc hrly freq within 1/4 mile of block group boundary (D4c) - Accessibility: Emp within 45 minutes auto (D5ar), Ratio Emp Auto Accessibility vs Total MSA (D5cr), Harmonic mean of Emp within 2 miles and Pop within 5 miles (ACCESS), Emp within 5 mile of blockgroup centroid (EMPTOT_5)