1) travel time
出行时耗
1.
For residents in urbanized areas, whether their daily travel time is stable or they have a constant travel time budget has been one of the focuses of research for many years.
出行时耗是指人们用于出行的时间。
2.
The multiple regression analysis with 40 samples shows that city size is a predominant determinant both for average travel distance and for average travel time,the share of bus transportation correlates positive with average travel time,and high population density contribute to the reduction of average travel distance and travel time.
在国内外相关研究的基础上,通过国内40个交通出行样本数据的计量分析,建立了平均出行距离和出行时耗的多元回归方程,发现城市规模是影响单中心城市平均出行距离和出行时耗的主要因素,公交车分担率的提高相应增加了平均出行时耗,而高密度的城市开发有利于出行距离和出行时耗的降低。
2) trip time consumption
出行时耗
1.
In this paper,we discusses urban road grade configuration in respect of trip mode,and we also proposes a new method to determine road grade levels based on the probability of trip time consumption according to equilibrium mechanism.
本文利用平衡机理从出行方式的角度探讨了城市道路等级配置,提出了基于出行时耗概率的城市道路级配确定方法。
3) travel time
出行时间
1.
Resident travel time choice and congestion pricing policy;
居民出行时间选择及拥挤收费政策
2.
Buffer analysis based on travel time;
基于出行时间的缓冲区分析
3.
On the one hand,the requirements for travel time on Origin-Destination(O-D) pairs are converted into explicit capacity constraints of dummy links by modifying the network representations.
在模型中,一方面通过变换网络图方法将各个起始-终讫区域(简称O-D)间的出行时间要求转换为虚拟路段的通行能力约束;另一方面模型取消了各个O-D对间保持固定出行需求结构假设,实际交通流量的分布是由O-D出行时间和终讫区域的交通吸引能力所决定,其大小由Logit选择模型确定。
4) trip time
出行时间
1.
The paper presents two optimal trip path mod-els of bus passengers,aiming to the leas"ttransfer times" and the shortes"ttrip time"respectively,thus gets different optimal trip paths for bus passengers to choose their suitable trip paths.
分别以"换乘次数"最少和"出行时间"最短为优化目标,提出2个公交乘客出行路径优化模型,得到不同的最优线路,供公交乘客选择适合自身的出行路线,并以1个简单的公交网络对模型进行了验算。
5) travelling time-distance
出行时距
6) run time output
运行时输出
补充资料：出行时耗
居民从甲地到乙地在交通行为中所耗费的时间。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条