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Published byLily Henderson Modified over 9 years ago
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Planning Process ► Early Transport Planning Engineering-oriented 1944, First “ O-D ” study Computational advances helped launch new era in planning
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Planning Process ► Factors contributing to improved planning Rapid population growth Rapid car ownership growth Increased mobility More federal involvement in transportation
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Planning Process ► 1963 Federal Aid Highway Act Instituted “ 3C ” process ► Continuing ► Comprehensive ► Cooperative Made federal funds contingent upon 3C process
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Planning Process ► Feds also acted as technical assistance Technology transfer Manuals and guides Creation of standards ► Planning ► Analysis ► Implementation
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Planning Process ► Federal involvement expanded What was just the Bureau of Public Roads soon became ► FHWA ► UMTA (now FTA) More requirements ► NEPA ► TSM ► TIP
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Planning Process ► Devolution in 1980s Feds became more or less “ advisory ” Mandates existed, but flexibility encouraged Planning didn ’ t change, transport patterns did
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Planning Process ► Federal resurgence Recognizing regional travel patterns ► Multi-jurisdictional solutions required involvement at a higher level Tied transportation plans to environmental planning ► Transportation plans could not contribute to the degradation of air quality
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Transportation and Land Development Cycle Land Use Change Increased Traffic Generation Increased Traffic Conflict Deterioration in Level-of-Service Arterial Improvements Increased AccessibilityIncreased Land Value
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Street Classification
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Transportation Planning Process Pre-Analysis Phase Problem/Issue Identification Formulation of Goals and Objectives Data Collection Generation of Alternatives Technical Analysis Phase Land Use Activity System Model UTMS (or, UTPS; or UTPP) Impact Prediction Models Post Analysis Phase Evaluation of Alternatives Decision Making Implementation of Plan Monitoring
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Transportation Planning Process ► Inputs land use activity system transportation system characteristics ► Outputs Quantity (volume) Quality (speed) ► U.T.M.S. Trip Generation Trip Distribution Mode Choice Trip Assignment
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Inputs for UTMS ► Transportation System Characteristics Layout of transportation network Speed, Directionality, Turn Restrictions ► Land Use Activity System Characteristics Region divided into “ zones ” Each zone has its own unique characteristics ► land use ► social and economic attributes
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Watauga County V/C Boone V/C
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1 2 3 4 5
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Urban Transportation Model System ► Trip Generation “ How many trips? ” Predicting quantity of travel to and from a piece of land Depends on characteristics of the land ► land use type and intensity ► socioeconomic characteristics of activities using the land
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Linear Regression for TG
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Urban Transportation Model System ► Trip Distribution “ Where do they go? ” Links origins and destinations ► how many from zone ‘ a ’ goes to all other zones? ► how many to zone ‘ a ’ comes from all other zones Dependent upon: ► attractiveness of zone ► “ friction ”, or difficulty of travel
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Simple Gravity Model Tobler’s First Law of Geography: Everything is related to everything else, but near things are more related than distant things.
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Intervening Opportunities # of trips # of opportunities at destination # of intervening opportunities calibrating constant
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Urban Transportation Model System ► Mode Choice “ How do they travel? ” Predicts the share of travel by mode ► auto ► transit Dependent upon ► cost of travel by mode ► socioeconomic characteristics
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Mode Choice Model VariableMeaning TTravel Time (in hours) CTravel Cost (in dollars) YAnnual Income (in 000’s) ModeTimeCost Drive0.502.00 Carpool0.751.00 Bus1.00.75 ModeY=40Y=10 Drive Carpool Bus
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Urban Transportation Model System ► Trip Assignment “ By what route? ” Predicting what parts of the network will be used to travel between origin and destination Dependent upon: ► all alternative routes (and their attractiveness) distance travel time perceived safety
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Trip Assignment ► All or nothing Find shortest path for between two zones Load all trips on that path
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Trip Assignment ► Incremental Loading (feedback) Split total flow in to subsets (i.e, 5% samples) Find shortest path between zones Load first 5% of trips onto that path Re-analyze shortest path Load next 5% of trips onto that path Repeat until total flow is dispensed with
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Output of UTMS ► Quantity Volume of traffic on network ► Quality Flow of traffic on network
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Volume to Capacity Ratios (V/C) ► Traffic volume compared to the capacity of a segment of the network Different street classifications have different capacities ► v/c = 1: volume of traffic equals capacity ► v/c less than 1: capacity of street not met ► v/c greater than 1: traffic exceeds capacity
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Levels of Service (LOS) Levels of Service (LOS) ► A Free Flow ► Freedom of Choice ► B Stable Flow (I) ► Choice slightly affected by others ► C Stable Flow (II) ► Choice significantly affected by others ► D High Density Flow ► Freedom to maneuver severely restricted ► E At or Near Capacity ► Unstable operations (small changes = large effects) ► F Breakdown Flow ► traffic approaching exceeds traffic exiting
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From: Route 228 Improvement Project – Pennsylvania DOT
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Impact Prediction Models ► Assessing the consequences of alternatives ► Using UTMS predictions as inputs to estimate: construction and operating costs energy consumption air quality noise levels accident rates
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Further Readings/Review ► Transportation Models Transportation Models Transportation Models ► Impact Models Impact Models Impact Models
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