The impact of traffic sign deficit on road traffic accidents in Nigeria

This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.     

物流运输路线选择与成本节约

目前城市物流运输要解决的迫切问题是如何在日益拥挤的城市交通条件下提高运营效率,降低由于交通拥挤给企业带来的运输成本增加。本文通过对传统的运输路线选择模型和算法的分析,提出了根据路网实时动态交通条件进行运输路线选择的模型,并对动态运输路线选择的成本节约进行了分析。     

Considerations in the diffusion of a public traffic app for Metro Manila

The proliferation of apps enabling motorists to access traffic information on the move introduces several intriguing possibilities for transportation authorities. In the expectation that public demand for these apps will increase as both road traffic and smartphone ownership rise, these tools invite consideration alongside other traffic management tools. Traffic app-specific considerations include increased motorist interactivity, consumer technology diffusion, and institutional factors affecting the rollout of e-government initiatives. This article uses the introduction of the MMDA Traffic Navigator—a Manila-based, publicly developed traffic app—to illustrate these considerations. Additionally, app usage among residents of nearby cities constituting Manila’s extended metropolitan region is considered. These considerations are subsequently classified using a 4E framework under economy, effectiveness, efficiency, and equity to inform other authorities’ efforts to either incorporate traffic apps into overall transport planning or even take the initiative in developing them.     

Impact of electronic road pricing on real estate prices in Singapore

Since 1998, Singapore has had an Electronic Road Pricing (ERP) system set up with a network of toll gantries to tax vehicles entering designated areas in the city center during peak hours. Using the congestion rate hike with effect from November 1, 2010 as an exogenous shock, we test the effects of the ERP rate hike on retail, office and residential real estate prices. The results show that the November 2010 congestion toll rate increases cause a 19% drop in retail real estate prices within the cordon ERP areas relative to retail real estate prices outside the cordon ERP areas. The results are statistically and economically significant. However, the toll rate hike has no significant impact private office and residential real estate within cordoned ERP areas. The robustness and falsification tests could not reject the negative effects associated with the toll rate hike on retail real estate prices.     

The geography of air freight: connections to U.S. metropolitan economies

Despite the rapid growth of air freight shipments, much of the existing literature on the geography of air transportation has paid more attention to passenger travel than air freight. The purpose of this paper is to elevate our understanding of air freight by determining which specific variables most influence and shape the geographic distribution of air freight by metropolitan area using stepwise regression analysis. The empirical results suggest a regression model of five independent variables was the most parsimonious solution where the final model accounted for 71.1% of the variation in air freight shipments by metropolitan area (MA). The most important predictor was the traffic shadow effect, where less populated MAs under the traffic shadow of larger MAs tended to generate lower levels of freight. The model also suggested that other key predictors included the employment market share in transportation-shipping-logistics industries, per capita personal income, the number of medical diagnostic and supplier establishments, and above average wages in high technology. Overall, metropolitan markets with diverse and efficient ground support systems, freight forwarders and other transportation services, a more affluent population, an intense agglomeration of medical laboratories and related suppliers, and a well paid skilled workforce engaged in computer systems design and electronic product manufacturing are more likely to ship freight by air.     

浅析醉酒驾驶行为的刑罚处罚

近年来,各地接连发生由于醉酒驾驶引发的群死群伤交通事故.由于缺少刑罚处罚依据,肇事者往往仅受到行政处罚,群众严惩酒后驾驶的呼声日渐高涨.醉酒驾驶入刑,体现了政府重典治理醉驾,加大对醉驾的执法力度.     

开放式社区交通微循环体系规划与运营

针对开放式社区成为城市交通的"贫民窟"问题,济南市交警率先开展了开放式社区交通微循环体系的规划与运营。交通微循环体系规划和管理并重,规划角度从打通支路网、渠化主要交叉口、加快停车设施建设、加强公建交通管理、慢行交通优先方面规范行车、停车秩序;管理角度从健全管理机制、构建长效机制、划拨专项资金、广纳社会建议方面体现属地管理理念。深刻剖析实践案例、实施步骤及具体问题的解决措施,确保规划与管理有效衔接。结果表明,开放式社区交通微循环投资省、周期短、见效快,社会反映好,极具推广价值。     

基于KPCA-SVM的公路客运量预测研究

支持向量机(Support Vector Machine,SVM)是建立在统计学习理论和结构风险最小化准则基础上的机器学习方法,该方法可以较好的解决以往很多学习方法的小样本、高维数、非线性和局部最小点等实际问题.本文利用支持向量机(SVM)回归理论和方法,建立基于核函数主成分支持向量机(Kernel Principal Component Analysis-Support Vector Machine,KPCA-SVM)回归模型,并用2000-2008年杭州市公路客运量为样本进行了预测,结果表明,KPCA-SVM模型具有较高的预测精度和可靠性,是一种有效的公路客运量预测方法.     

Stochastic Route Choice Equilibrium Assignment for Travelers with Heterogeneous Regret Aversions

Most route choice models assume that people are completely rational. Recently, regret theory has attracted researchers’ attentions because of its power to depict real travel behavior. This paper proposes a multiclass stochastic user equilibrium assignment model by using regret theory. All users are differentiated by their own regret aversion. The route travel disutility for users of each class is defined as a linear combination of the travel time and anticipated regret. The proposed model is formulated as a variational inequality problem and solved by using the self-regulated averaging method. The numerical results show that users’ regret aversion indeed influences their route choice behavior and that users with high regret aversion are more inclined to change route choice when the traffic congestion degree varies.     

Tradable travel credits for congestion management with heterogeneous users

This paper carries on the recent work of Yang and Wang (2011) on tradable credit schemes by considering heterogeneous users with different value of time (VOT). Given a tradable credit scheme, the user equilibrium (UE) and market equilibrium (ME) conditions with heterogeneous users are formulated into a variational inequalities (VI) problem. Sufficient conditions for uniqueness of the aggregate UE link flows and then the ME credit price are established. Appropriate tradable credit schemes are developed to decentralize system optimal and Pareto-improving network flow patterns. Extension is made to the elastic demand case.