Associations between built environment, perceived walkability/ bikeability and metro transfer patterns
Associations between built environment, perceived walkability/ bikeability and metro transfer patterns
复制标题
建筑环境、感知步行/骑自行车与地铁换乘模式之间的关联
DOI：
10.1016/j.tra.2021.09.007
复制
发表时间：
2021-09-20
影响因子：
6.4
通讯作者：
Timmermans, Harry J. P.
中科院分区：
文献类型：
--
作者：
Gan, Zuoxian;Yang, Min;Timmermans, Harry J. P.
大多数研究都涉及主动模式的整合（即，步行和骑自行车）和公共交通往往侧重于换乘距离或接驳模式的选择。很少有文章报道了建成环境（D变量）和转移模式（例如，传输距离和模式选择）。此外，只有很少的研究占旅行者的步行性和/或自行车的判断，并区分访问和出口行程。本文使用在中国南京收集的数据填补了文献中的这些空白。通过随机参数Tobit和随机参数多项Logistic模型，分别研究了地铁集水区内步行/自行车出行距离与感知步行/自行车出行能力和建成环境特征的关系，以及选择主动出行方式作为换乘方式的概率。建模结果表明，感知步行/骑自行车的能力和功能的建成环境更显着相关的模式选择行为比转移距离。此外，步行/骑自行车的距离和访问/出口模式的选择往往与感知的步行性和骑自行车的能力，以及与建筑环境的功能密切相关。研究结果有助于加深城市规划者和决策者对如何设计最大限度地整合活跃模式和地铁的建成环境的理解。
Most studies that address the integration of active modes (i.e., walking and bicycling) and public transit tend to focus on either transfer distance or feeder mode choice. Few articles have reported the relationships between the built environment (D-variables) and transfer patterns (e.g., transfer distance and mode choice) in a single study. Furthermore, only very few studies accounted for travelers' judgements of walkability and/or bikeability and distinguished between access and egress trips. This paper fills these gaps in the literature using data collected in Nanjing, China. A random parameter Tobit and a random parameter multinomial logistic model are estimated to investigate respectively (i) the association of perceived walkability/bikeability and features of the built environment in metro catchment areas on walking/bicycling distance of access/egress trips and (ii) the probability of choosing active modes as transfer modes. The modeling results reveal that perceived walkability/bikeability and features of the built environment are more significantly correlated with mode choice behavior than with transfer distance. Moreover, walking/ bicycling distance and access/egress mode choice tend to be strongly associated with perceived walkability and bikeability as well as with features of the built environment. The results are helpful in deepening urban planners and policymakers' understanding of how to design built environments that maximize the integration of active modes and metro.