摘要
川甘青毗邻区是红军长征取得胜利的重要区域,该区域的红色景点分布对于当地推进旅游发展具有重要参考价值。研究表明:川甘青毗邻区的红色景点空间分布整体上呈现东多西少的特点;红军长征的历史因素对川甘青毗邻区红色景点的形成起主要作用;红色文化景点在川甘青毗邻区空间分布相对集中,离散型较差。建议川甘青毗邻区内红色景点集中区域开展短途路线,满足周边游客观光需求;在区域内建设通达度和便捷性良好的旅游交通网;注重红色景点的精神内核建设,挖掘研究区各景点的独特性;借助区域政策,促进川甘青毗邻区红色旅游的联动协调发展。
The adjacent area of Sichuan,Gansu and Qinghai is an important area for the Red Army to win the Long March.The distribution of red scenic spots in this area has important reference value for local tourism development.The research shows that the spatial distribution of red scenic spots in the adjacent areas of Sichuan,Gansu and Qinghai is generally characterized by more in the east and less in the west;historical factors played a major role in the formation of the red scenic spots in the adjacent areas of Sichuan,Gansu and Qinghai,mainly the red cultural landscape during the Long March;the spatial distribution of red cultural attractions in the adjacent areas of Sichuan,Gansu and Qinghai is relatively concentrated,and the discrete type is poor.It is suggested to develop short distance routes in the red scenic spots concentrated areas in the adjacent areas of Sichuan,Gansu and Qinghai to meet the sightseeing needs of surrounding tourists;build a tourism transportation network with good accessibility and convenience in the region;pay attention to the construction of the spiritual core of red scenic spots,and explore the uniqueness of each scenic spot in the study area;with the help of regional policies,promote the coordinated development of red tourism in the adjacent areas of Sichuan,Gansu and Qinghai.
作者
于志远
宋思萌
Yu Zhiyuan;Song Simeng(School of Resources and Environmental Engineering,Tianshui Normal University,Tianshui Gansu 741001,China)
出处
《天水师范学院学报》
2022年第4期51-57,共7页
Journal of Tianshui Normal University
基金
2022年高等教育科学研究规划课题“以红色文化培养大学生创新创业能力”(22CX0204)
2021年国家社科基金西部项目“红军长征川甘青毗邻区资源调查与梳理”(21XDJ019)
2020年甘肃省社科规划项目“红军长征陇东南地区资源调查与梳理”(20YB091)
天水师范学院教育教学改革研究项目“以红色文化培养学生创新创业能力”阶段性成果
关键词
川甘青毗邻区
红色景点
空间分布特征
adjacent area of Sichuan,Gansu and Qinghai
red scenic spots
spatial distribution characteristics