交通运输系统工程与信息 ›› 2021, Vol. 21 ›› Issue (4): 63-71.DOI: 10.16097/j.cnki.1009-6744.2021.04.008

所属专题: 2021年英文专栏

• 综合交通运输体系论坛 • 上一篇    下一篇

郊域轨道交通对土地利用演变的影响分析

李俊芳1,姚敏峰*2,胡华1   

  1. 1. 上海工程技术大学,城市轨道交通学院,上海 201620;2. 华侨大学 建筑学院,福建 厦门 362021
  • 收稿日期:2021-03-25 修回日期:2021-07-12 接受日期:2021-07-13 出版日期:2021-08-25 发布日期:2021-08-23
  • 作者简介:李俊芳(1984- ),女,湖北襄阳人,讲师,博士。
  • 基金资助:
    国家自然科学基金

Impact of Suburban-to-suburban Rail Transit on Land Use Change

LI Jun-fang1 , YAO Min-feng*2 , HU Hua1   

  1. 1. School of Urban Rail Transit, Shanghai University of Engineering Science, Shanghai 201620, China; 2. School of Architecture, Huaqiao University, Xiamen 362021, Fujian, China
  • Received:2021-03-25 Revised:2021-07-12 Accepted:2021-07-13 Online:2021-08-25 Published:2021-08-23
  • Supported by:
    National Nature Science Foundation of China(51478198)

摘要: 选择贝叶斯网络(Bayesian Network, BN)对郊域轨道交通引起的土地利用演变规律(Land Use Change,LUC)进行研究。将影响范围外设为参照区分析LUC是否因郊域线出现差异,并与 市郊线进行对比。东京都的案例结果表明,郊域线对LUC产生了影响,其中,影响较大的是森林、 建筑与运动竞技用地(运营期)及森林、运动竞技与水域(开通前)地块,上述地块缓冲区与参照区的 差异依次是-32.08%,12.59%,8.24%与-24.23%,4.62%,4.40%;然而市郊线未产生影响,说明不同 于市区LUC的多驱动力,郊域线作为郊区LUC的强驱动力,引起的LUC变化显著,可为通过建设 郊域线推动郊区土地发展提供依据。由于市区土地发展成熟,土地利用(Land Use,LU)延续性 好,故市郊线当期总与前期LU有直接关系;郊域线作为郊区LUC的强驱动力,运营后引起LUC 活跃程度比较大,故导致运营期与前期 LU 无直接关系,可为郊域线土地开发时期提供参考依 据。BN推理显示,郊域线运营期缓冲区终态为建筑地块受建筑用地聚集程度影响低于参照区, 说明郊域线运营期终态为建筑地块的演变较独立,同样是由郊域线引起LUC活跃程度比较大引 起的;为支持郊域线运营期地块终态为建筑用地,区域需87.2%的概率为缓冲区,初始邻域用地需 98.5%为非森林地块,以上可为郊域线土地开发中建筑用地布局与选址提供参考依据。以多摩线 2006年LU作为初始态,预测2014年LU,结果精度达89.9%,表明BN具有较强的推理能力。最 后,挖掘轨道交通LUC机制,即其通过提高出行可达性影响人们愿意在其周边居住与生活,因此 出现缓冲区用地演变现象,并据此阐释了郊域线的LUC机制。

关键词: 城市交通, 郊域轨道交通, 土地利用演变, 贝叶斯网络, 开通前, 运营期

Abstract: Bayesian network (BN) is selected to study the land use change (LUC) caused by suburban-to-suburban rail transit. The influence area was set as the reference area, and the difference between LUC and suburban lines was analyzed. The case study of Tokyo Metropolitan shows that the suburban-to-suburban line has a great impact on LUC, especially on the forest, construction and sports land (operation period) and forest, sports, and water (before opening). The differences between the buffer zone and the reference zone are -32.08%, 12.59%, 8.24% and -24.23%, 4.62%, 4.40% respectively. However, the suburban line has no impact. The results show that, different from the multiple driving force to urban LUC, the suburban- to- suburban line as a strong driving force to suburban LUC causes significant changes in LUC. which can provide a basis for promoting suburban land development through the construction of suburban line. Due to the maturity and better inheritance of urban land use (LU), the current LU of suburban line is related to the previous LU at a high degree; As a strong driving force of suburban LUC, LUC is more active during operation of suburban-to- suburban line, so the current LU is less related to the previous LU at a high degree, which can provide a reference for the optimal time of land developing around the suburban-to-suburban line.The result of BN reasoning shows that the final state of the buffer zone during the operation period of suburban-tosuburban lines is construction land, which is less affected by the degree of construction land aggregation than the reference zone, indicating that the evolution of the buffer zone during the operation period of suburban line is relatively independent, which is also caused by the more activity of LUC caused by the suburban-to-suburban line; In order to support the construction land in the final state during the operation period of suburban-to-suburban line, 87.2% of the area should be buffer zones, and 98.5% of the initial neighborhood land should be non-forest land. The above can provide a reference for the layout and site selection of construction land in the process of suburban-to- suburban line land development. Taking the land use in 2006 of Duomo line as the initial state, the land use in 14 years is predicted, and the accuracy of the result is 89.9%, which indicates that BN has strong reasoning ability.

Key words: urban traffic, suburban-to- suburban rail transit line, land use change, Bayes network, before operation; operation period

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