城市化进程中，交通路网格局的发展与土地利用变化有着密切关系，交通系统的发展引起城市空间形态、土地利用开发、土地利用价格和用地布局特征的变化，反之，土地利用变化也引起了交通路网格局、路网密度的改变。本文以东莞市为例，对其交通路网密度与新增城市用地变化强度作了定量分析。根据TM遥感影像提取2001、2005和2009年3期的城市用地，采用核密度估算（KDE）新增城市用地变化强度，探讨区域内交通路网格局与新增城市用地变化强度的关系。结果表明，在2001-2005年间，路网格局变化较大，新增道路类型主要为高速路，新增城市用地总量较大、扩张速度快，特别是交通路网密度大的边缘区域。在2005-2009年间，随着路网发育不断成熟，路网密度内部差异减少，新增道路类型主要为县乡道路，新增城市用地速度明显放缓。经相关系数显著性检验后表明：2001-2009年间，在置信度为95%时，东莞市道路网密度、加权密度（x）与新增城市用地核密度（y）的相关系数R_xy均大于0.1946，证明东莞市道路网密度、加权密度与新增城市用地核密度高度相关。

With the development of urbanization, there is a close relationship between the structure of urban traffic network and urban spatial expansion. Development of traffic system is caused by urban spatial form, land use development, land price and land use layout feature changes, conversely, land use change also acts on the structure of urban traffic network and road density. How to quantitatively describe the strength of urban road network density and urban land-use change is a key scientific issue. This research takes Dongguan City as an example, through remote sensing images in 2001, 2005 and 2009, using the kernel density estimation (KDE) to describe the intensity of newly added urban land use and explore the relationship between urban road network density and urban spatial expansion. The results showed that, during the period of 2001-2005, the city had a great change in road network with the highway as the mainly new road type. Urban expansion was rapid, with a relatively large amount of newly added urban land use area, especially in the edge region where the road network density is high. During the period of 2005-2009, with the development of road network, county road was the mainly new road type, and the newly added urban land use growth also slowed down. The significance test of correlation coefficient showed: during 2001-2009 period in Dongguan City, at the confidence level of 95%, the correlation coefficient R(xy) of the road network density, of the weighted density (x) and of the kernel density (y) are all larger than 0.1946, which indicated that those three factors are significantly related.