城市环境和上班时间

IF 0.3 4区 工程技术 Q4 ECONOMICS
S. Mainardi
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引用次数: 1

摘要

每天花在上班路上的时间越来越长,在世界上许多城市造成了严重的经济和非经济损失。根据人口、社会经济和交通基础设施的特征,可以在不同的空间焦点水平上找到城市上班旅行长度的可能决定因素。在简要回顾了两个广泛的假设之后,本文讨论了适用于66个国家92个城市的平均工作旅行时间的替代持续时间模型的理论基础和结果。估计是相当稳健的样本量和危险率的规格。相对较小和/或较富裕的城市往往具有较高的风险比,因此意味着在工作旅行中花费的平均时间减少。在5个参数模型中,有2个模型的风险函数形状是非单调的,在较长的时间阶段,风险函数的时值依赖从正变为轻度负。这一结果可能被解释为旅行时间可能“粘性”的标志,超过了城市高度拥堵的某个阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban environment and travel times to work
The increasingly long time spent on daily travels to work causes heavy economic and non-economic losses in many cities worldwide. Possible determinants of the length of urban trips to work can be found at different levels of spatial focus, based on demographic, socioeconomic, and transport infrastructure characteristics. Following a brief review of two broad hypotheses, the paper discusses theoretical fundamentals and results of alternative duration models applied to average work travel times across 92 cities in 66 countries. Estimates are fairly robust to sample size and specification of the hazard rate. Relatively smaller and /or wealthier cities tend to have higher hazard ratios, thus implying reduced average time spent in work trips. In two out of five parametric models, the shape of the hazard function is non-monotonic, with duration dependence changing from positive into mildly negative at a long spell stage. This outcome may be interpreted as a sign of possible 'stickiness' of travel time beyond a certain threshold of high urban congestion.
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