Cities separated in space are connected together by spatial interaction (SI) between them. But the studies focusing on the SI are relatively few in China mainly because of the scarcity of data. This paper deals with t...Cities separated in space are connected together by spatial interaction (SI) between them. But the studies focusing on the SI are relatively few in China mainly because of the scarcity of data. This paper deals with the SI in terms of rail passenger flows, which is an important aspect of the network structure of urban agglomeration. By using a data set consisting of rail O-D (origin-destination) passenger flows among nearly 200 cities, intercity rail distance O-D matrixes, and some other indices, it is found that the attenuating tendency of rail passenger is obvious. And by the analysis on dominant flows and spatial structure of flows, we find that passenger flows have a trend of polarizing to hubs while the linkages between hubs upgrade. However, the gravity model reveals an overall picture of convergence process over time which is not in our expectation of integration process in the framework of globalization and economic integration. Some driven factors for the re-organization process of the structure of urban agglomeration, such as technique advance, globalization, etc. are discussed further based on the results we obtained.展开更多
Rail transit plays a crucial role in improving urban sustainability and livability.In many Chinese cities,the planning of rail transit routes and stations is focused on facilitating new developments rather than revita...Rail transit plays a crucial role in improving urban sustainability and livability.In many Chinese cities,the planning of rail transit routes and stations is focused on facilitating new developments rather than revitalizing existing built-up areas.This approach reflects the local governments’expectations of substantial growth to reshape the urban structure.However,existing research on transit-oriented development(TOD)rarely explores the spatial interactions between individual transit stations and investigates how they can be integrated to achieve synergistic effects and balanced development.This study proposes that rail transit systems impact urban structure through two“forces”:the provision of additional and reliable carrying capacity and the reduction of travel time between locations.Metro passenger flow is used as a proxy for these forces,and community detection techniques are employed to identify the actual and optimal spatial clusters in Wuhan,China.The results reveal that the planned sub-centers align reasonably well with the optimal spatial clusters in terms of spatial configuration.However,the actual spatial clusters tend to have longer internal travel times compared to the optimal clusters.Further exploration suggests the need for equalizing land use density within planned spatial clusters served by the metro system.Additionally,promoting concentrated,differentiated,and mixed functional arrangements in metro station areas with low passenger flows within the planned clusters could be beneficial.This paper presents a new framework for investigating urban spatial clusters influenced by a metro system.展开更多
为探究土地利用与地铁车站职住功能之间的影响关系,提出居住客流指数和就业客流指数作为站点聚类指标。先对地铁站点进行分类,刻画车站的职住功能类型,之后构建空间Logistic回归模型,分析空间效应影响下地铁车站周边土地利用对其职住功...为探究土地利用与地铁车站职住功能之间的影响关系,提出居住客流指数和就业客流指数作为站点聚类指标。先对地铁站点进行分类,刻画车站的职住功能类型,之后构建空间Logistic回归模型,分析空间效应影响下地铁车站周边土地利用对其职住功能的影响。结果表明:相较于就业型车站,居住型车站存在更为显著的空间依赖关系,居住型车站周边每增加1个同类型车站时,该类车站形成的概率增大4.1%;以综合型站点为对照组,居住集中型车站周边每增加一个科教文化或停车场类兴趣点(points of interest,POI),该类车站形成的概率减小2.7%和3.2%;就业集中型车站周边每增加一个生活服务或住宿类POI,其形成的概率减小2.1%、0.8%,有利于其向综合型车站转变。研究结果可为站域土地利用规划或优化策略提供参考。展开更多
文中提出了一种基于路段关联度的城市交通流量Apriori-LSTM(Apriori-long short term memory network)预测模型.处理卡口检测器数据,统计交通量并提取车辆轨迹,采用Apriori算法分析预测时段内目标路段与关联路段的时空相关性,计算关联...文中提出了一种基于路段关联度的城市交通流量Apriori-LSTM(Apriori-long short term memory network)预测模型.处理卡口检测器数据,统计交通量并提取车辆轨迹,采用Apriori算法分析预测时段内目标路段与关联路段的时空相关性,计算关联路段支持度;求解预测时段内关联路段到目标路段的流入量,构建LSTM预测的输入矩阵、并采用LSTM预测路段短时流量.采用实例进行验证,对迭代次数、隐藏层神经元个数和步长进行参数灵敏度分析,并与单一的LSTM预测结果进行比较.结果表明:Apriori-LSTM的平均绝对误差降至3.8%,平均绝对百分误差和平均均方误差均有显著降低,均等系数有所提高,模型稳定性更好,达到了更好预测效果.展开更多
基金Under the auspices of Key Project of National Natural Science Foundation of China (No 40635026)
文摘Cities separated in space are connected together by spatial interaction (SI) between them. But the studies focusing on the SI are relatively few in China mainly because of the scarcity of data. This paper deals with the SI in terms of rail passenger flows, which is an important aspect of the network structure of urban agglomeration. By using a data set consisting of rail O-D (origin-destination) passenger flows among nearly 200 cities, intercity rail distance O-D matrixes, and some other indices, it is found that the attenuating tendency of rail passenger is obvious. And by the analysis on dominant flows and spatial structure of flows, we find that passenger flows have a trend of polarizing to hubs while the linkages between hubs upgrade. However, the gravity model reveals an overall picture of convergence process over time which is not in our expectation of integration process in the framework of globalization and economic integration. Some driven factors for the re-organization process of the structure of urban agglomeration, such as technique advance, globalization, etc. are discussed further based on the results we obtained.
文摘Rail transit plays a crucial role in improving urban sustainability and livability.In many Chinese cities,the planning of rail transit routes and stations is focused on facilitating new developments rather than revitalizing existing built-up areas.This approach reflects the local governments’expectations of substantial growth to reshape the urban structure.However,existing research on transit-oriented development(TOD)rarely explores the spatial interactions between individual transit stations and investigates how they can be integrated to achieve synergistic effects and balanced development.This study proposes that rail transit systems impact urban structure through two“forces”:the provision of additional and reliable carrying capacity and the reduction of travel time between locations.Metro passenger flow is used as a proxy for these forces,and community detection techniques are employed to identify the actual and optimal spatial clusters in Wuhan,China.The results reveal that the planned sub-centers align reasonably well with the optimal spatial clusters in terms of spatial configuration.However,the actual spatial clusters tend to have longer internal travel times compared to the optimal clusters.Further exploration suggests the need for equalizing land use density within planned spatial clusters served by the metro system.Additionally,promoting concentrated,differentiated,and mixed functional arrangements in metro station areas with low passenger flows within the planned clusters could be beneficial.This paper presents a new framework for investigating urban spatial clusters influenced by a metro system.
文摘为探究土地利用与地铁车站职住功能之间的影响关系,提出居住客流指数和就业客流指数作为站点聚类指标。先对地铁站点进行分类,刻画车站的职住功能类型,之后构建空间Logistic回归模型,分析空间效应影响下地铁车站周边土地利用对其职住功能的影响。结果表明:相较于就业型车站,居住型车站存在更为显著的空间依赖关系,居住型车站周边每增加1个同类型车站时,该类车站形成的概率增大4.1%;以综合型站点为对照组,居住集中型车站周边每增加一个科教文化或停车场类兴趣点(points of interest,POI),该类车站形成的概率减小2.7%和3.2%;就业集中型车站周边每增加一个生活服务或住宿类POI,其形成的概率减小2.1%、0.8%,有利于其向综合型车站转变。研究结果可为站域土地利用规划或优化策略提供参考。
文摘文中提出了一种基于路段关联度的城市交通流量Apriori-LSTM(Apriori-long short term memory network)预测模型.处理卡口检测器数据,统计交通量并提取车辆轨迹,采用Apriori算法分析预测时段内目标路段与关联路段的时空相关性,计算关联路段支持度;求解预测时段内关联路段到目标路段的流入量,构建LSTM预测的输入矩阵、并采用LSTM预测路段短时流量.采用实例进行验证,对迭代次数、隐藏层神经元个数和步长进行参数灵敏度分析,并与单一的LSTM预测结果进行比较.结果表明:Apriori-LSTM的平均绝对误差降至3.8%,平均绝对百分误差和平均均方误差均有显著降低,均等系数有所提高,模型稳定性更好,达到了更好预测效果.
