Forecasting Model of Intercity Trip Distribution with Consideration of Connections Between Headquarters and Subsidiaries

doi:10.11908/j.issn.0253-374x.19530

Home > Archive>Volume 48, Issue 9, 2020 >1319-1327. DOI:10.11908/j.issn.0253-374x.19530

Forecasting Model of Intercity Trip Distribution with Consideration of Connections Between Headquarters and Subsidiaries
DOI:
                        10.11908/j.issn.0253-374x.19530
                    
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                        TAO Siran1TAO Siran
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China
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YE Xiafei1YE Xiafei
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China
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Affiliation:Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China
Clc Number:U125
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Abstract:

The influential factors which can describe the connection between cities when it comes to intercity trip distribution were analyzed based on the intercity travel purpose. The effect of the connection between headquarters of enterprises and their subsidiaries on the intercity travel demand was discussed, and a variable of headquarters-subsidiaries links was put forward. The quantification method of the variable was also included. The variable was used to construct the intercity trip distribution forecasting model, and the model was calibrated by using 2010 Inter-Regional Travel Survey data and economic census data in Japan. Finally, the variation of the headquarters-subsidiaries links with time was discussed. The results show that the forecasting model performs better after adding the variable.

Key words:transportation planning;intercity trip distribution;headquarters-subsidiaries links;gravity model

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TAO Siran, YE Xiafei. Forecasting Model of Intercity Trip Distribution with Consideration of Connections Between Headquarters and Subsidiaries[J].同济大学学报(自然科学版),2020,48(9):1319~1327

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Received:December 16,2019
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Online: September 27,2020
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