Activity-Based Patterns of Everyday Mobility: The Potential for Long-Term Behaviour Change Across Five Groups of Travellers

Abstract

Significant differences in our mobility patterns can be found in relation to both range/distance and form. While some people travel on multiple occasions to global destinations over the course of a year, others travel mainly locally, that is, by bicycle or on foot. Policymakers and planners need to have a clear conception of the different mobility patterns if they are to develop valid and precise measures promoting more sustainable forms of mobility. This paper points to five key mobility types based on an exploratory cluster analysis of approximately 20,000 Norwegian travel diaries. Three of the defined groups are dominated by the private car, while two are oriented towards the use of public transport, bicycling and walking. The key differences and similarities between the mobility types are discussed and the relationship between everyday travel patterns and long-distance travel is analysed. Opportunities and challenges for transformations in the everyday travel habits of the five groups are discussed in the final section.     

Where Sustainable Transport and Social Exclusion Meet: Households Without Cars and Car Dependence in Great Britain

Abstract

A secondary analysis of the British National Travel Survey for the years 2002–2010 shows that the composition of the group of carless households is a good indicator of the level of car dependence in a local area: indeed, while non-car ownership in peripheral and rural areas very often correspond to a marginal socio-demographic situation, this is less and less true as one moves towards larger urban areas. Similarly, while in sparse areas most households without cars are either virtually immobile or reliant on car lifts, in large urban areas the ‘mobility gap’ between car-owning and carless households is considerably smaller, as the latter are able to use modal alternatives to the car. These findings are interpreted with reference to an integrated theoretical framework, showing how changes in land use and the environmental and social impacts of increasing motorization are intimately linked. Notably, the consequences of the self-reinforcing cycle of car dependence on two forms of car-related transport disadvantage (car deprivation and forced car ownership) are highlighted. Overall, the article highlights how the socio-demographic composition and the travel behaviour of carless households vary systematically across different types of area: this has interesting implications for sustainable transport policy and research.     

Hyperautomobility and Governmentality in Auckland

Abstract

A number of cities around the world are associated with very high levels of private motor car usage, and Auckland provides an example of one of these ‘hyperautomobile’ cities. There are many problems with this system of transportation and dependence on the private car, including environmental, social and city design dimensions. Though there is a clear aspiration to move towards reduced levels of car usage in the city's transport and spatial planning strategies, there are major difficulties in implementation terms. We develop and consider future scenarios to 2041 to reduce these levels of motorization, and subsequent transport CO₂ emissions, with a much greater use of public transport, walking and cycling, urban planning, and low emission vehicles. The current implementability of such a ‘sustainable mobility’ future is however questioned in the current political and social context, and critically debated in terms of the available governance mechanisms and the limited attempts to shape the behaviour of the public. We conclude by calling for a reconsideration of the policy measures being considered, including the range and levels of application and investment; with a much wider framing of the transport planning remit, and carried out within a much stronger participatory framework for decision-making.     

Validation of a Lagrangian dispersion model implementing different kernel methods for density reconstruction

In this paper the inert version of a Lagrangian particle model named photochemical Lagrangian particle model (PLPM) is described and validated. PLPM implements four density reconstruction algorithms based on the kernel density estimator. All these methods are fully grid-free but they differ each other in considering local or global features of the particles distribution, in treating the Cartesian directions separately or together and in being based on receptors or particles positions in space. Each kernel has been shown to have both advantages and disadvantages, but the overall good performances of the model when compared with the well known Copenhagen and Kincaid data sets are very encouraging in view of its extension to fully chemically active simulations, currently under development.     

二维砂箱溶质示踪实验的图像分析法

有色示踪剂在砂箱溶质运移实验中有着广泛的应用,因此,本文介绍了一种通过对数字图像进行分析以确定多孔介质中有色示踪剂浓度分布的方法.在实验过程中,通过建立有色示踪剂浓度与图像颜色要素之间的定量关系,从而能够利用数字图像迅速确定某一时刻砂箱内部的示踪剂浓度分布.结果发现,与传统定点采样方法相比,图像分析法可以达到更高的空间和时间分辨率,从而观察到有可能被忽视的重要溶质运移过程,能够为地下水溶质运移实验研究提供了一种经济实用和高空间分辨率的数据采集手段.但由于色彩空间变化范围的限制,图像分析法只能在一定溶质浓度范围内适用.     

2015~2018年中国代表性城市PM2.5浓度的城乡差异

选取中国6大城市群中的11座代表性城市为研究区域,将监测站点划分为城区、郊区和乡村站,进而分析各城市间PM_2.5浓度的城乡差异规律.结果表明,同一城市群各城市之间,或同一城市的城区、郊区、乡村站间PM_2.5日变化皆较为相似.京津冀和长三角地区的城市城区PM_2.5浓度最高,高于郊区7.8%~9.7%,高于乡村11.3%~16.9%,而粤港澳大湾区和内陆城市群（成渝、长江中游、关中平原城市群）的城市郊区PM_2.5浓度最高,高于城区2.6%~11.2%,高于乡村16.7%~26.5%.各城市间城乡PM_2.5浓度差值的日变化规律不尽相同,可呈单峰（如上海）或双峰（如杭州）变化,极值可出现在白天（如广州）,亦可在夜间（如深圳）.PM_2.5的排放与传输扩散共同对11城市城乡PM_2.5浓度分布产生影响.     

Air pollution characteristics and their relationship with emissions and meteorology in the Yangtze River Delta region during 2014–2016

With rapid economic growth and urbanization, the Yangtze River Delta(YRD) region in China has experienced serious air pollution challenges. In this study, we analyzed the air pollution characteristics and their relationship with emissions and meteorology in the YRD region during 2014–2016. In recent years, the concentrations of all air pollutants, except O_3,decreased. Spatially, the PM_(2.5), PM_(10), SO_2, and CO concentrations were higher in the northern YRD region, and NO_2 and O_3 were higher in the central YRD region. Based on the number of non-attainment days(i.e., days with air quality index greater than 100), PM_(2.5) was the largest contributor to air pollution in the YRD region, followed by O_3, PM_(10), and NO_2.However, particulate matter pollution has declined gradually, while O_3 pollution worsened.Meteorological conditions mainly influenced day-to-day variations in pollutant concentrations. PM_(2.5) concentration was inversely related to wind speed, while O_3 concentration was positively correlated with temperature and negatively correlated with relative humidity.The air quality improvement in recent years was mainly attributed to emission reductions.During 2014–2016, PM_(2.5), PM_(10), SO_2, NO_x, CO, NH_3, and volatile organic compound(VOC)emissions in the YRD region were reduced by 26.3%, 29.2%, 32.4%, 8.1%, 15.9%, 4.5%, and0.3%, respectively. Regional transport also contributed to the air pollution. During regional haze periods, pollutants from North China and East China aggravated the pollution in the YRD region. Our findings suggest that emission reduction and regional joint prevention and control helped to improve the air quality in the YRD region.     

TAGE:一种新的大气污染物来源及输送情况的网格化分析方法

提出了一种新的大气污染物来源及输送情况的网格化分析方法.首先,不依赖于排放源清单,而是以预设的网格化排放源来运行空气质量模型,得到排放源的污染影响因子.然后,结合污染物监测数据,构建排放源总合排放强度求解方程组,并利用遗传算法进行求解.最后,基于排放源的污染影响因子和总合排放强度,计算出排放源的污染贡献占比,从而完成对大气污染物来源及输送情况的网格化分析.这一方法的提出,为缺少准确排放源清单情况下大气污染状况的分析与治理,提供了新的思路.利用此方法,对北京市、石家庄市、保定市2017年10~12月期间PM_2.5的来源及输送情况进行了验证性实验.     

煤矿主提胶带运输系统远程自动化集中控制的工程实践

从煤矿生产作业环境的安全性出发,结合机械化、自动化技术的发展趋势,提出煤矿主提胶带运输系统远程自动化集中控制的技术方案,并以成功实例验证了方案的可操作性,节能效果显著。     

2018年春节期间京津冀地区污染过程分析

为了解2018年春节期间京津冀地区空气污染情况,利用近地面污染物浓度数据、激光雷达组网观测数据,结合WRF气象要素、颗粒物输送通量和HYSPLIT气团轨迹综合分析污染过程.结果表明,春节期间出现3次污染过程.春节前一次污染过程,各站点PM_2.5浓度均未超过200μg/m³;除夕夜,廊坊站点PM_2.5峰值浓度达到504μg/m³,是清洁天气的26倍;年初二^初五,各站点PM_2.5始终高于120μg/m³,且污染主要聚集在500m高度以下,北京地区存在高空传输,800m处最大输送通量达939μg/(m³?s),此次重污染过程为一次典型的区域累积和传输过程.京津冀地区处于严格管控状态时,燃放烟花爆竹期间PM_2.5峰值浓度可达无燃放时PM_2.5峰值的3.2倍.为防止春节期间重污染现象的发生,需对静稳天气下燃放烟花炮竹采取预防对策.