基于运动轨迹大数据的泸沽湖风景名胜区慢行系统优化研究  

Improving Slow Transport System with Big Data of Dynamics Trajectory, Lugu Lake Resort

作　　者：黄红元 干晓宇[1] 陈一[1] Huang Hongyuan;Gan Xiaoyu;Chen Yi

机构地区：[1]四川大学建筑与环境学院

出　　处：《规划师》2020年第22期19-24,共6页Planners

摘　　要：慢行系统建设对风景名胜区自然、文化资源保护,以及旅游发展具有重要意义。从运动轨迹大数据和GIS的传统选线分析出发,对泸沽湖风景名胜区慢行系统优化进行研究。采取以下途径:通过轨迹大数据与实地调研相结合的方式得到空间热度分布图,基于原有的规划和空间热度分布状况选取节点,用GIS分析水文、地形与人的慢行半径得出适宜性建设缓冲区,最终在三者的基础上进行慢行系统选线方案的优化。该方法弥补了传统数据的时空缺失,直观反应人群需求,切合游览舒适度,适配当地的生态自然环境,并最终得到兼具人性化、实用性和生态性的规划优化方案。Slow transport system construction is significant to the preservation of landscape resort natural and cultural resource and tourism development.Based on the dynamics trajectory big data and traditional GIS route,the paper studies improving slow transport system of Lugu lake resort:first,spatial thermal map is generated by big data and field investigation,then,a suitable construction buffer zone is produced based on original plan,spatial thermal mapping,and GIS aided hydraulic,topographical,and activity analysis,finally the slow transport route is improved.The method makes up for the weakness of traditional data in space and time,matches people’s needs and local environment,and comes up with humanistic,pragmatic,and ecological proposals.

关 键 词：大数据 运动轨迹 风景名胜区 慢行系统 泸沽湖 

分 类 号：TU984.181[建筑科学—城市规划与设计]