农业旅游作为旅游活动的重要形态之一,对改善农业产业结构、推动农村经济和谐发展起到至关重要的作用。本文以农业旅游示范点为研究对象,综合运用时间可达性和非线性分形方法,测算了2004年、2010年江苏省农业旅游示范点的可达性时间及集聚与关联分形维数,探讨了农业旅游布局的空间演化特征及形成机理。结果表明:江苏省农业旅游示范点整体可达性较好,两个时段上平均可达性时间分别为37.23min、26.37min,两个时段上省域内到达最近农业旅游示范点的时间跨度分别为200min和121min,交通网络的发展降低了示范点的可达性成本,旅游示范点的影响范围和服务人口发生较大改变,农业旅游示范点空间上的集聚态势和关联程度均呈现不同程度的增强,且集聚态势更加明显。针对江苏省农业旅游布局空间演化的形成机理剖析表明,政府决策引导、交通网络发展、地区经济支持、城镇区位导向以及工业旅游带动的综合作用下促使了农业旅游空间布局的演化。
As important tourist activities, agricultural tourism plays a crucial role in improving agricultural industry structure and promoting harmonious development of the rural economy. Using agricultural tourism demonstration sites, this paper applies time accessibility and nonlinear fractal methods to calculate accessibility time, concentration and associated fractal dimension of agricultural tourism demonstration centers in Jiangsu province in 2004 and 2010. We found that the overall accessibility of agricultural tourism in Jiangsu province is good, and two average accessibility times were 37.23 min and 26.37 min. The development of a traffic network reduced the accessibility cost of the sites. Analysis of the agricultural tourism layout in Jiangsu province shows that under the comprehensive function of the government, traffic network development, regional economic support, urban location orientation and industrial tourism, the agricultural tourism layout has evolved. Analysis of the scope of influence of agricultural tourism shows that the sphere of influence and service population of Lianyungang Modern Agriculture Demonstration Park and Yangzhou Phoenix Island Eco-tourism were larger; Yixing Sightseeing Agricultural Technology Demonstration Park and Changzhou Hengshan Bridge Town were opposite. Regarding agricultural tourism layout agglomeration features, two times the fractal dimension is less than 1, the decision coefficient R2 value is higher, the fit effect is good, and the concentration characteristics reflected in space are significant. Therefore, the functions of the agricultural tourism space as attractive are becoming more obvious, and space relevance significantly enhanced. Future work will consider an expanded range of factors (such as air and rail infrastructure) and more practically assess agricultural tourism.