Travel demand forecasting pdf download chapter 12

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Show More. Views Total views. Actions Shares. No notes for slide. The SE-datasets were collected and processed for the model base year of , and then forecasted out to the MTP horizon year of The population and housing characteristics, obtained from the Decennial Census, were available at the Census Block level, which are generally smaller than TAZs.

Growth factors between the ACS and Decennial Census data were applied to the respective level of equivalent geography available for each demographic characteristic. Employment Data As with demographic data, employment for the Jackson MPO was developed to reflect employment as of The raw form of employment data was derived from a list of businesses residing within the Jackson MPO in Once geocoded, each business location is combined to the respective TAZ, and divided into various employment sectors.

After the initial collection of SE-data is completed, a thorough review by various stakeholders is conducted. Once reviewed, changes are incorporated into the employer dataset, and then formally provided to the various MPO committees for additional comments, and then approval. Using a series of intricate economic and demographic variables as well as incorporating projected changes in alignment with overall trends, a forecast is developed by the Regional Economic Models, Incorporated REMI TranSight Model.

During the model development process, the approved growth factors are further stratified so that more detailed and geographic-specific growth factors can be applied to the model TAZs. As with the plan base year data, the demographic and employment datasets are provided to all stakeholders, including the local EDC and local agencies city, villages, and townships , for review and comment.

The MGF contains much of the needed roadway attributes to differentiate between various roadway classes along with attributes needed in identifying paths of trip travel. Roadway configuration and attribute adjustments are incorporated when operating the model for future year applications.

As mentioned earlier in this chapter, the TAZ is represented on the model road network as a centroid based on the relative center of activity within each individual TAZ.

Adjustments to the structure were made based on previous recommendations, changes in socio-economic conditions, and to account for changes in traffic loading to the model road network. These TAZs contain a number of different attributes used to account for differences in land-use, socio-economic, and transportation related variances.

Later modeling steps will require the use of the information housed within the TAZs to apply and run the respective step. The TAZs will also hold several outputs later. In this step, person trip productions and attractions are calculated for each TAZ, for various trip purposes, based on the relative SE-data available for the TAZ. The TDFM uses the concept of productions and attractions to replicate person traveling behavior in the model area.

Non- Motorized NM mode factors are also included in the calculation of trips produced. NM trips were relatively minor for this model area as it related to the total amount of trips being generated in the model area.

NM trips were not distributed, nor assigned to the road network, but simply taken out of the total vehicular trips being produced.

Several Trip Generation methods exist, each having its own strengths and weaknesses. In this model, cross-classification methods were used to develop the trip productions. Cross-classification is used to combine two different data variables, such as household size and household income, and is used to develop the zonal trip productions. Trip attractions for this model used a simple regression equation. Trip productions and attractions were balanced so that the total productions and attractions were equal for the entire model area — each trip produced is attracted somewhere.

Cross-classification and regression equations are common modeling structures used to develop trip productions and attractions. The methods used above apply to person trips that are generated for TAZs that are within the model area. Not a MyNAP member yet? Register for a free account to start saving and receiving special member only perks. Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book.

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