以广东省连州市为例,设计路网连通度、可达性、农村路网与干线路网衔接的平均距离三项指标来分析乡村地区公路网的通达性水平。结果显示,连州市路网的连通度较低,布局不完善,并存在明显的干线路网指向性特征;路网可达性水平总体不高,各乡镇内部联系的便捷度普遍较低,且呈现出同心圈层的结构;农村路网与干线路网的衔接较好,具有较强的集散功能。最后,通过计算指综合分值的方法,对连州市的农村路网通达性空间格局进行分析,根据综合得分将连州市12个乡镇分为5个等级,其中连州镇、东陂镇的通达性水平最高,通达性水平最低的是三水瑶族乡;并初步探讨了其背后的形成机理,认为农村路网的通达性水平是多种因素综合作用的结果,包括区域面积、地形状况、经济实力、结点布局、道路建设等。

Choosing connectivity, accessibility, and the average distance connecting villages to the trunk roads as indicators, taking 12 towns as research units, this paper analyses comprehensive accessibility level of the rural road network of Lianzhou city, Guangdong province. Results show that the connectivity level of the rural roads is quite poor, and their allocation is unreasonable, presenting obvious characteristic of surrounding trunk roads. Although town center area has a relatively high level of accessibility, it's inconvenient for the villagers in one town to contact with each other. We can also learn from the research that the spatial structure of accessibility is like concentric circles, radiating from the town center to its surroundings. And according to the indicator, the rural road network plays an important role in connecting villages to outside areas, which is obviously beneficial for the development of the rural logistics industry. In order to better understand the spatial structure of comprehensive accessibility of Lianzhou city, we calculate the comprehensive value of all towns by using a weighted summation method. According to the calculation results, we divide the towns into 5 hierarchies. Lianzhou town and Dongbei town are in the first place, which means that they have the most convenient transport networks; Sanshui town is the last one, indicating that its rural road network construction needs to be further accelerated. In the end, based on the preceding research, we also make a preliminary analysis about formation mechanism of the comprehensive accessibility level of the rural road network, and find that it correlates to many factors, including the size of the area, topography feature, economic strength, node layout and road construction.