Distribution Prediction Correction Based on the Analysis of Job/Housing Balance between Old and New Districts

• 作者: Hai Yan Tao Li
• 来源期刊: 应用科学(英文)
• 学科: 医学
• 关键词: Traffic Planning Job/Housing BALANCE GRAVITY Mode BALANCE Coefficient
• 年，卷（期）: 2017,（2）
• 页码范围: 57-67
• 页数: 11页
• 分类号: R73

摘要

The cities of China are in the period of rapid development of urbanization. The practical problems, which faced by urban traffic planning, include an effective prediction for the traffic volume. This paper, combining the example of Cangzhou’s traffic planning, analyzes the differences on land use between the new and the old district, including its influence to the residents. It also analyzes the relationship of travel features and the coefficient of job/housing balance in the new and the old district;furthermore, it corrects the result of traditional gravity model by using balance’s coefficient. Through this study, we find that the corrected model deals with the problem of travel forecasting’s deviation, which is closer to the physic truth. In the meanwhile, we suggested paying more attention to the relationship of land use and housing/jobs in the district plan, in this way, it will reduce the traffic demand radically and optimize the traffic structure.