Forecasting External Trips in Small and Medium Cities Based on Local Economic Context

The external trip estimation is important but usually neglected in travel demand modeling process for small and medium urban areas. This research develops a cost-effective method to forecast external trips from an economic point of view. A concept of Employment Index (EI) by North American Industry Classification System (NAICS) sectors was initiated to represent local economic characteristics in statewide context and proved to be significant in predicting external trips. Based on recent survey data, separate external trip models were developed by urban categories. The new models minimize data requirements and are easy to use. They appear transferable to other small and medium urban areas.

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Record URL:
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
Authors:
- Qian, Zhe
- Han, Yang
- Stone, John R
Conference:
- 8th International Conference on Traffic and Transportation Studies (ICTTS 2012)
- Location: Changsha , China
- Date: 2012-8-1 to 2012-8-3
Publication Date: 2012

Language

English

Media Info

Media Type: Digital/other
Pagination: pp 284-293
Serial:
- Procedia - Social and Behavioral Sciences
- Volume: 43
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0428
- Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
Publication flags:
Open Access (libre)

Subject/Index Terms

TRT Terms: Economics; Employment; Medium sized cities; Small cities; Traffic forecasting; Travel demand
Identifier Terms: North American Industry Classification System
Uncontrolled Terms: External trips
Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

Accession Number: 01498559
Record Type: Publication
Files: TRIS
Created Date: Nov 6 2013 11:34AM