Applications of State Employment Data to Transportation Planning

Author:

Souleyrette Reginald R.1,Plazak David J.1,Strauss Tim R.2,Andrle Stephen J.1

Affiliation:

1. Center for Transportation Research and Education, Iowa State University, Suite 3100, 2901 South Loop Drive, Ames, IA 50010

2. Department of Geography, University of Northern Iowa, Sabin 1, Cedar Falls, IA 50614

Abstract

A major problem in transportation modeling is the acquisition of quality employment data. Employment data are used in transportation planning to model the journey to work and other types of trips, but they rarely are collected solely for transportation purposes because of the large expense involved. Census data, on the other hand, are inexpensive but are collected only every 10 years (although the American Community Survey provides some continuous data). This presentation outlines and assesses a process to develop systems and protocols for using an already-collected set of detailed employment data for an alternative purpose, transportation planning. Tapping this source may provide an ongoing, economical, and annual source of important transportation data that allows planners to better model and predict transportation needs, from the commuter and the business perspective. A better understanding of travel patterns, in turn, helps planners to evaluate investments in fixed physical infrastructure and public transportation. The data set also has valuable uses in other fields, such as workforce development planning, economic development, land use planning, and social service delivery. The success of this project required intergovernmental cooperation from several key partners.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference2 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Verification Methodology to Facilitate Employment Database Updates for Transportation Planning;Transportation Research Record: Journal of the Transportation Research Board;2022-05

2. Multidimensional Compression of ITS Data Using Wavelet-Based Compression Techniques;IEEE Transactions on Intelligent Transportation Systems;2017-07

3. Incorporating wavelet decomposition technique to compress TransGuide intelligent transportation system data;TRANSPORT RES REC;2006

4. Incorporating Wavelet Decomposition Technique to Compress TransGuide Intelligent Transportation System Data;Transportation Research Record: Journal of the Transportation Research Board;2006-01

5. Double-Sided Determination of Aggregation Level for Intelligent Transportation System Data;Transportation Research Record: Journal of the Transportation Research Board;2004-01

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