[1]许俊萍.美国洛杉矶大都市影响居民步行到轨道交通站点的多因素分析(英文)[J].华侨大学学报(自然科学版),2017,38(4):489-496.[doi:10.11830/ISSN.1000-5013.201704009]
 XU Junping.Analyses of Multiple Factors Affecting Residents’ Walking to rail Transit Stations in Los Angeles Metropolitan, United States[J].Journal of Huaqiao University(Natural Science),2017,38(4):489-496.[doi:10.11830/ISSN.1000-5013.201704009]
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美国洛杉矶大都市影响居民步行到轨道交通站点的多因素分析(英文)()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第4期
页码:
489-496
栏目:
出版日期:
2017-07-10

文章信息/Info

Title:
Analyses of Multiple Factors Affecting Residents’ Walking to rail Transit Stations in Los Angeles Metropolitan, United States
文章编号:
1000-5013(2017)04-0489-08
作者:
许俊萍
华侨大学 建筑学院, 福建 厦门 361021
Author(s):
XU Junping
College of Architecture, Huaqiao University, Xiamen 361021, China
关键词:
步行 公交导向型发展 大都市 多因素分析 逻辑回归模型 洛杉矶市
Keywords:
walking rail transit oriented development metropolitan multiple factors analysis logistic regression models Los Angeles City
分类号:
U491.17
DOI:
10.11830/ISSN.1000-5013.201704009
文献标志码:
A
摘要:
以美国加利福尼亚州的洛杉矶市为例,根据2011-2013年美国南加州政府联盟提供的居民出行数据,应用逻辑回归模型寻找影响居民步行到快速公交站点的显著因子.结果表明:到达站点的距离和人行道的连续性、路灯密度、行道树密度、站点周边停车和土地混合度是显著影响的居民步行到站点的环境因子;而出行目的地、家庭收入、家庭拥有私家车数量,以及种族等其他因子也显著影响到居民是否步行到站点.
Abstract:
Taking Los Angeles Metropolitan, United States as the case study, depending on the data from the regional household travel survey conducted during 2011-2013 by the Southern California Association of Governments, the logistic regression models is used to find significant factors that affect residents’ walking to the rail transit stations. Results show that the distance to stations, the continuity of sidewalks, density of street lights, density of street trees, station parking and land use mix are the significant environment factors; meanwhile, the travel destinations, household income, the number of household vehicles and ethnicity are also significantly factors influencing residents’ walking to rail transit stations.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2017-04-20
通信作者: 许俊萍(1980-),女,高级教员,博士,主要从事低碳城市的研究.E-mail:ggxxxu@126.com.
基金项目: 国家自然科学基金青年基金资助项目(51508208); 福建省自然科学基金面上资助项目(2015J01637)
更新日期/Last Update: 2017-07-20