Identify the travel demand for the specific timeframe and region
2
Estimate population and employment data
3
Gather data on current and forecasted land use
4
Generate trip productions
5
Analyze and forecast transportation network supply
6
Forecast future traffic flow patterns
7
Simulate travel demand models
8
Generate trip distributions
9
Quantify transportation needs based on trip purposes
10
Calculate modal splits for different types of travel
11
Verify data on current transportation system capabilities
12
Schedule relevant administrative tasks
13
Apply the selected modeling technique
14
Analyze sensitivity of forecasts
15
Assess data for robustness and reliability
16
Approval: Data Quality
17
Implement the forecast model
18
Verify and validate the forecast model
19
Approval: Model Validation
20
Publish the forecast
21
Prepare for presentation of the forecasting results
Identify the travel demand for the specific timeframe and region
This task is crucial in understanding the travel demand for a specific timeframe and region. It involves gathering data on various factors such as population growth, economic development, and tourism trends. The goal is to determine the current and future travel demand in order to plan for appropriate transportation infrastructure and services. The task requires analyzing existing data sources, conducting surveys or interviews, and researching relevant information. Challenges may include data availability and accuracy. Required resources or tools may include transportation databases, survey forms, and statistical software.
1
North America
2
Europe
3
Asia
4
Africa
5
South America
Estimate population and employment data
This task involves estimating population and employment data for the specific timeframe and region. The goal is to understand the demographic and economic factors that influence travel demand. By analyzing population growth, employment rates, and industry trends, we can predict travel patterns and transportation needs. The task requires accessing data from sources such as census reports, labor market surveys, and economic forecasts. Challenges may include dealing with incomplete or outdated data. Required resources or tools may include demographic models, economic indicators, and statistical software.
1
Census reports
2
Labor market surveys
3
Economic forecasts
4
Transportation surveys
5
Industry data
Gather data on current and forecasted land use
This task involves gathering data on current and forecasted land use in the specific timeframe and region. The goal is to understand how land is utilized for various purposes such as residential, commercial, and recreational activities. By analyzing land use patterns, we can predict travel demand and transportation needs. The task requires accessing data from sources such as land use plans, zoning regulations, and urban development plans. Challenges may include dealing with incomplete or inconsistent data. Required resources or tools may include GIS software, land use maps, and planning documents.
1
Residential
2
Commercial
3
Industrial
4
Recreational
5
Transportation
Generate trip productions
This task involves generating trip productions for the specific timeframe and region. Trip productions refer to the number of trips originating from a particular zone or area. The goal is to estimate the total trip productions based on various factors such as population, employment, and land use. The task requires using trip generation models or formulas to calculate the trip productions. Challenges may include determining the appropriate model or formula to use. Required resources or tools may include trip generation software, transportation databases, and survey data.
Analyze and forecast transportation network supply
This task involves analyzing and forecasting the transportation network supply for the specific timeframe and region. The transportation network supply refers to the existing and future transportation infrastructure and services available to meet the travel demand. The goal is to assess the capacity and performance of the transportation network and identify any deficiencies or improvements needed. The task requires analyzing data on road networks, public transit systems, and other transportation facilities. Challenges may include data availability and accuracy. Required resources or tools may include transportation network models, traffic simulation software, and network performance data.
Forecast future traffic flow patterns
This task involves forecasting future traffic flow patterns for the specific timeframe and region. The goal is to predict the movement of vehicles on the transportation network based on the projected travel demand and transportation infrastructure. By analyzing traffic flow patterns, we can identify potential congestion and plan for appropriate traffic management strategies. The task requires using traffic flow models or simulation tools to estimate future traffic volumes and patterns. Challenges may include data accuracy and model assumptions. Required resources or tools may include traffic flow models, traffic count data, and traffic simulation software.
1
Morning Peak
2
Afternoon Peak
3
Evening Peak
Simulate travel demand models
This task involves simulating travel demand models for the specific timeframe and region. Travel demand models are mathematical representations that predict travel behavior based on various factors such as trip purposes, demographics, and transportation options. The goal is to simulate different scenarios and analyze the impacts on travel patterns and transportation needs. The task requires using travel demand modeling software or tools to run the simulations. Challenges may include model calibration and validation. Required resources or tools may include travel demand modeling software, survey data, and model calibration data.
1
Four-step model
2
Activity-based model
3
Tour-based model
4
Destination choice model
1
Trip generation
2
Trip distribution
3
Modal split
4
Trip assignment
1
Household travel surveys
2
Traffic count data
3
Public transit ridership data
4
Origin-destination surveys
5
GPS tracking data
Generate trip distributions
Quantify transportation needs based on trip purposes
Calculate modal splits for different types of travel
Verify data on current transportation system capabilities
Schedule relevant administrative tasks
Apply the selected modeling technique
Analyze sensitivity of forecasts
Assess data for robustness and reliability
Approval: Data Quality
Will be submitted for approval:
Identify the travel demand for the specific timeframe and region
Will be submitted
Estimate population and employment data
Will be submitted
Gather data on current and forecasted land use
Will be submitted
Generate trip productions
Will be submitted
Analyze and forecast transportation network supply
Will be submitted
Forecast future traffic flow patterns
Will be submitted
Simulate travel demand models
Will be submitted
Generate trip distributions
Will be submitted
Quantify transportation needs based on trip purposes
Will be submitted
Calculate modal splits for different types of travel
Will be submitted
Verify data on current transportation system capabilities
Will be submitted
Schedule relevant administrative tasks
Will be submitted
Apply the selected modeling technique
Will be submitted
Analyze sensitivity of forecasts
Will be submitted
Assess data for robustness and reliability
Will be submitted
Implement the forecast model
Verify and validate the forecast model
Approval: Model Validation
Will be submitted for approval:
Implement the forecast model
Will be submitted
Verify and validate the forecast model
Will be submitted
Publish the forecast
Prepare for presentation of the forecasting results
