摘要
为改进现有游憩出行方式选择模型,提高游憩出行方式预测精度,对河北省武安市主城区6个公园绿地内游憩者出行方式选择的意愿开展调查.利用卡方检验对出行方式选择与影响变量进行相关性分析并筛选变量,随后建立多元Logistic模型探讨了各变量对城市居民游憩出行方式选择的作用机制。结果发现出行者年龄、家庭年收入、出行目的地、出行者教育背景、职业背景、出行耗时、出行目的及出行频率等对游憩行为出行方式选择有显著影响。
To improve the existing recreational travel choice model and improve its prediction accuracy,an investigation on the travel choice willingness was conducted in six green parks in the main urban area of Wu'an city,Hebei province.Chi-square test was used to analyze the relativity between travel choices and influencing variables,and the variables were screened.Then the multivariate logistic model was established to explore the function mechanism of influencing variables on residents'recreation travel choices.The results show that traveler age;traveler annual household income;travel destination,traveler education background,career background,travel time-cost;travel purpose as well as travel frequency have a significant impact on the choice of travel behavior.The research results can provide reference for the formulation and implementation of policies related to transportation planning around urban park green space.
作者
田芳
王定红
连海涛
李高梅
TIAN Fang;WANG Dinghong;LIAN Haitao;LI Gaomei
出处
《现代城市研究》
北大核心
2021年第7期125-129,共5页
Modern Urban Research
基金
河北省社科基金项目(HB19YS039):活化“傩戏”--基于沉浸式VR交互信息戏曲场景研究