The Movingo integrated ticket: seamless connections across the mälardalen region of Sweden

ABSTRACT

The need for improved public transport (PT) ticketing in ever-growing deregulated PT markets has made well-designed integrated ticketing systems a priority area of intervention for PT service providers around the world. Yet, very little practical evidence of its impacts are reported in Sweden and in the world at large. The focus of this study was the impacts of the Movingo integrated ticketing scheme in terms of PT patronage, user satisfaction and the perceived quality of the ticketing set-up. Three travel surveys were conducted along the Stockholm-Uppsala route. Methods including logistic regression and correlated t-tests were used to analyse the samples. The findings suggest that the scheme made rail commuting more attractive resulting in an overall increase of about 24% in ticket sales with 3% – 15% car commuters reporting that they patronised PT services after the project. The scheme also resulted in increased rail commuter satisfaction. The overall perceived quality of the ticketing set-up did not however improve due to interoperability challenges. Service providers’ uncertainty about equitable distribution of revenue among the participating service providers, interoperability challenges and the lack of interest among most of the participating service providers to sell Movingo tickets are some issues to be addressed.     

公交信息的乘客光环效应

光环效应是一种特殊的非理性心理现象，可利用其改善公交乘客的满意度.本文认为显著维度光环效应指标除了满足对总体满意度作用系数最大外，还应新增 3个基本特征，据此提出了一种新的基于多个特征的显著维度光环效应指标辨识方法，克服了单个特征有时错误识别的缺陷.基于 2017年武汉市公交乘客满意度数据，利用双因素和决策树法辨识潜在的显著维度光环效应指标，缩小辨识范围.利用各分项满意度指标的影响人群比例，评分均值与总体满意度关系，对总体满意度的作用系数，评分方差等精确辨识了显著维度光环效应指标. 研究发现，公交信息服务对 55.42%的乘客具有反向光环效应.改善公交信息服务可显著提高不满意乘客的满意度.     

适用于一票制公交大数据的系统化处理方法及应用 ——以银川市为例

为分析公交乘客出行特征，利用公交IC卡数据、公交GPS数据、车载机数据和单程站点关系表，通过各类数据关联融合，提出适用于一票制公交大数据的系统化处理方法。基于Oracle搭建分析数据库，采用Python语言编写代码，构建了乘客上车站点推断算法、基于出行链的乘客下车站点推断算法、基于概率的乘客下车站点推断算法和乘客换乘站点识别算法4种站点推断算法。基于此，运用银川公交大数据进行客流集散点识别、客流走廊识别，得到公交站点上下客流量分布情况、公交线路客流量分布情况、公交站点的换乘客流量分布情况。研究结果表明，一票制公交大数据系统化处理方法在分析公交乘客出行特征方面具有一定的应用价值。     

公共自行车使用时空特性挖掘及租还需求预测

基于宁波市公共自行车刷卡数据、POI(Point of Interest)数据、气象和空气质量等数据，从数据驱动视角，深入挖掘公共自行车使用的时空特征及站点租还车需求预测。在时间上，采用KMeans算法，将站点聚为5类，探讨各类站点的时变需求规律及影响因素；在空间上，提出基于POI 数据的站点用地类型识别方法，将站点分为居住类、交通设施类、办公类和商业休闲类。构建以 15，30，60 min 为间隔，以租还车需求为目标变量的随机森林预测模型，并与常用的 BP (Back Propagation)神经网络、K最近邻方法进行比较。结果表明，随机森林模型的精度更高，适用性更强。以30 min为间隔的站点租还车需求预测精度最高，考虑站点土地利用类型后能有效提高模型的预测精度。本文结果可作为未来站点平衡调度的依据并推广应用于共享单车系统，为改善服务水平提供技术和理论支撑。     

大连市常规公交规划思路探讨

城市常规公交系统建设是贯彻公交优先、促进高质量发展的关键。本文从分析大连市常规公交发展现状和面临问题入手,结合城市交通发展趋势,提出常规公交发展目标,在此基础上探讨了新时期常规公交规划要从公交网络、规划目标、服务模式、技术方法等四方面转变思路,强化两网融合和以人为本的思想,增强常规公交的吸引力,促进城市高质量发展。     

悉尼与中国城市公共交通绩效的比较研究

为完善悉尼市城市公共交通优先发展政策体系，实现悉尼市“可持续城市交通”愿景，借鉴中国“公交都市”示范项目的指导方针和指标体系，建立了一个基于公共交通绩效水平的评估指标体系，利用中国“公交都市”示范项目数据和悉尼市公共交通运营开放数据，分别计算了各城市的公共交通绩效水平。将悉尼市与中国“公交都市”示范项目试点城市的公共交通发展水平进行了比较研究。结果表明，悉尼市现有交通运输模式为主要依赖小汽车方式出行，虽然悉尼市在促进交通方式转变和新技术应用方面取得了一些进展，但其整体的公共交通服务水平远落后于中国“公交都市”示范项目试点城市。通过借鉴中国城市在“公交都市”示范项目实践中的经验，结合悉尼城市交通发展战略与规划，明确了悉尼市出台“从依赖小汽车出行转变为公共交通优先出行”导向政策的必要性，并提出了多项促进城市公共交通优先发展的政策建议，用以支持悉尼市实现“世界上最宜居城市之一”的发展目标。     

管片钢模激光测量技术的应用

随着我国城市地下隧道建设的快速发展,盾构施工技术已占主导地位,隧道管片的制造精度日益提高,对铸造型钢模具的制造精度也提出了更高的要求。介绍了管片钢模激光测量技术及装置,对型钢模具制造过程的检测和控制进行了分析,针对现有试验装置存在的不足进行了优化研究,最后对一种新的管片钢模具激光快速测量工艺进行了总结。     

公共交通设施配套规模研究——以中山市公共交通设施配套标准为例

针对城市公共交通场站用地紧张和居民公交出行不便等问题,文中根据部分城市公共交通配套标准经验,并以土地利用和交通需求等相关理论为基础,构建建设项目公共交通设施配套规模的计算方法。方法根据建设项目的规模,推算项目需要的公共交通设施配套规模,最后以中山市城区的相关交通参数为例,代入模型进行计算,得出中山市公共交通设施配套标准。     

The planning and analysis of a new group rapid transit system: the SkyCabs monobeam system in Auckland

This paper examines a case study of the SkyCabs system as a way to alleviate some of the traffic problems of Auckland, New Zealand. SkyCabs is an elevated two-way monobeam carrying light eight-seater cabs on tracks on each side of the beam, available on demand, providing fast, pollution-free, unimpeded travel above the footpath with panoramic views of the city. The aim of this study is to investigate the attractiveness of implementing the SkyCabs system to and from Auckland central business district (CBD) and Auckland international airport by examining four variables: different routes, different number of stops/stations, different passenger demand levels, and different number of cabs in the system. The analysis utilizes geographical information system and simulation tools for the various scenarios considered. The results show that it is possible to assess the cost–benefit of alternative routes in terms of those four variables and rate of return on investment.     

How Do Governments Support the Development of Public Private Partnerships? Measuring and Comparing PPP Governmental Support in 20 European Countries

Abstract

Taking an institutional perspective, in this article we develop an index of the governmental support for public private partnership (PPP) — a ‘PPP Governmental Support Index’ (GSI) — which aims to measure the extent to which national governments provide an institutional framework that is either conducive or preventive for the introduction and diffusion of PPPs within transport infrastructure and other sectors. First, based on a substantive review of the literature, we define the elements of the PPP GSI, including the policy and political commitment regarding PPPs, the legal and regulatory framework, and the presence/absence of dedicated PPP-supporting arrangements. Second, we calculate the PPP GSI for 20 European countries, cluster them and compare similarities and differences in national governmental support of infrastructure PPPs. Third, we explore the potential link between national institutional index scores and infrastructure PPP activity in the 20 countries. Lastly, we discuss the potential and usefulness of the presented PPP GSI, as well as methodological limitations, and elaborate on how this index might be utilised to strengthen future comparative research on PPP in transport and other sectors.