Commuting and wellbeing: a critical overview of the literature with implications for policy and future research

ABSTRACT

This review provides a critical overview of what has been learnt about commuting’s impact on subjective wellbeing (SWB). It is structured around a conceptual model which assumes commuting can affect SWB over three time horizons: (i) during the journey; (ii) immediately after the journey; and (iii) over the longer term. Our assessment of the evidence shows that mood is lower during the commute than other daily activities and stress can be induced by congestion, crowding and unpredictability. People who walk or cycle to work are generally more satisfied with their commute than those who travel by car and especially those who use public transport. Satisfaction decreases with duration of commute, regardless of mode used, and increases when travelling with company. After the journey, evidence shows that the commute experience “spills over” into how people feel and perform at work and home. However, a consistent link between commuting and life satisfaction overall has not been established. The evidence suggests that commuters are generally successful in trading off the drawbacks of longer and more arduous commute journeys against the benefits they bring in relation to overall life satisfaction, but further research is required to understand the decision making involved. The evidence review points to six areas that warrant policy action and research: (i) enhancing the commute experience; (ii) increasing commute satisfaction; (iii) reducing the impacts of long duration commutes; (iv) meeting commuter preferences; (v) recognising flexibility and constraints in commuting routines and (vi) accounting for SWB impacts of commuting in policy making and appraisal.     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.     

Optimal joint distance and time toll for cordon-based congestion pricing

This paper addresses the optimal toll design problem for the cordon-based congestion pricing scheme, where both a time-toll and a nonlinear distance-toll (i.e., joint distance and time toll) are levied for each network user’s trip in a pricing cordon. The users’ route choice behaviour is assumed to follow the Logit-based stochastic user equilibrium (SUE). We first propose a link-based convex programming model for the Logit-based SUE problem with a joint distance and time toll pattern. A mathematical program with equilibrium constraints (MPEC) is developed to formulate the optimal joint distance and time toll design problem. The developed MPEC model is equivalently transformed into a semi-infinite programming (SIP) model. A global optimization method named Incremental Constraint Method (ICM) is designed for solving the SIP model. Finally, two numerical examples are used to assess the proposed methodology.     

船舶通信英语口语与听力课程标准

结合船舶驾驶员的岗位职责,依照现代职业教育理论和成果,设计了船舶通信英语口语与听力课程标准.对该课程的课程概述、培养目标、与前后课程的联系、教学内容与学时分配、学习资源、教师要求、学习场地与设施要求、考核方式与标准、学习情境设计进行了设计和描述,将船舶通信中典型工作任务转化为学习型任务.     

The generators of paratransit trips by persons with disabilities

Identifying the generators of paratransit trips by persons with disabilities is important to comprehend the current demand patterns and forecast future demand. Only a handful of studies have been conducted so far to identify the generators of paratransit trips and most focused on the home end of the trips. Given some of the inconsistencies in past studies and the scarcity of studies on the generators of trips away from home, this study attempts to identify the generators of paratransit trips beginning and ending at clients’ homes and away from home. It uses an extremely large dataset consisting of 1.91 million trips made by NJ TRANSIT’s Access Link clients, socioeconomic data from the American Community Survey, employment data from the Longitudinal Employer-Household Dynamics, and establishment data from Dun and Bradstreet. The analytical methods include an ordinary least squares model (OLS) and several spatial generalized linear mixed models (GLMM) to identify the characteristics of census block groups associated with Access Link trip generation at home and away from home, Geographic Information System (GIS) analysis to identify the types of establishments located in the immediate vicinity of drop-offs, and a multinomial logit model (MNL) to examine the relationship between the characteristics of the establishments in the vicinity of drop-offs and the characteristics of the dropped-off clients. Together, the various analyses provide useful insights about paratransit trip generators at the macro and micro levels. Some implications of the findings are discussed.     

中国TBM施工技术进展、挑战及对策

总结我国近30年来TBM设计与施工技术的发展历程,可归纳为以下5个阶段:1)研发探索和试用阶段;2)以国外施工承包商为主体,采用国外设计制造TBM施工我国隧道工程阶段;3)独立进行TBM招标采购和选型设计,并建立起自主的TBM施工队伍阶段;4)与国外厂家联合设计制造TBM,工程应用和自主施工快速发展阶段;5)实现TBM国产化,面向国内外TBM工程市场自主施工阶段。通过我国不同时期TBM施工的典型工程,介绍我国在复杂地质、大坡度、高海拔、不同直径、不同机型、超长隧洞TBM施工方面取得的经验、技术积累和业绩,展示我国TBM在穿越断层破碎带、软弱变形、岩爆、涌水等不良地质洞段取得的一系列施工新技术,以及最高月进尺1 868 m、平均月进尺超过600 m和掘进作业利用率超过40%的掘进技术水平。分析TBM在极硬岩、大断层破碎带、软弱大变形围岩、强岩爆围岩、涌水突泥洞段、高地热隧洞和超长隧洞工程中施工面临的风险和挑战,并提出一些相应的技术措施和对策,期望这些措施和对策在未来大量实际工程中进一步得到实践验证、优化和改进,不断积累和创新TBM设计与施工新技术。     

我国城市防洪排涝地下深隧规划设计与施工方法

为了建设符合中国国情的地下排水深隧,解决城市内涝问题,消除"城市看海"现象,采用调研分析的研究方法,通过调研国外城市排水深隧建设的成功案例,借鉴成熟经验并结合我国国情探索出我国城市排水深隧在规划设计、施工技术等方面的建设模式。主要结论如下:1)深隧规划必须坚持雨污分流原则,防涝标准应设为百年一遇;2)深隧层位应建于地下30~50 m的位置,隧道管线应布设在城市易涝区,并且将修建深隧、改造浅管和清淤河道衔接起来,形成一套完整的防洪排涝系统,让深隧的作用得以充分发挥,才能解决城市内涝问题;3)排水深隧要注重防水设计,防止雨水污染地下水;4)为提高深隧的经济效益,应将深隧与地下快速路的规划结合起来,功能上多样化。     

极高地应力软岩隧道超前导洞应力释放及多层支护变形控制技术

为了解决极高地应力软岩隧道大变形控制难题,以兰渝铁路木寨岭隧道岭脊核心段施工为例,通过现场试验和数据分析,得到如下主要结论:1)提出了"先放后抗,抗放结合,锚固加强"的变形控制理念;2)得出了该隧道岭脊核心段"超前导洞应力释放+圆形4层支护结构+径向注浆+长锚杆+长锚索"综合变形控制方案;3)超前导洞应力释放效果明显,正洞累计变形减小幅度约为34%;4)得到了圆形多层支护结构变形规律;5)累计变形均控制在设计预留变形量内,保证了该隧道岭脊核心段大变形控制效果。     

柴油机活塞销孔型线对比分析研究

针对某柴油机活塞销孔的磨损问题,分别借助有限元方法和EHD仿真方法研究了不同销座结构匹配多种销孔型线对接触应力的影响,及不同活塞销孔型线对润滑特征评价参数的影响。综合研究表明,活塞销孔型线与热变形匹配不合理所引起的润滑状态恶化是导致活塞销孔磨损的直接原因,因此通过合理调整销孔型线可使接触应力均匀,润滑状态良好,并有效降低活塞销座磨损风险。     

我国商业银行信息化建设研究综述

我国商业银行信息化建设已走过近20年的路程,在取得巨大业绩的同时也存在若干不足之处．文章在总结我国商业银行信息化建设经验的基础上,对其信息化建设的现状进行了深入的分析,同时指出了我国商业银行信息化建设的总体规划方向,以期大幅度提高我国商业银行的信息化建设绩效。