对我国道路运输行业管理方针的探讨

面对我国道路运输业存在的诸多问题,指出了加强行业管理的重要性,并对道路运输业的经济本质进行了理论分析。尽管世界各国的道路运输行业都不具备自然垄断的形态,但文章仍然在我国首次提出了道路运输业属公用事业范畴的观点,这在一定程度上给出了我国道路运输业管制与放开争议的解决思路。根据我国道路运输行业所处的发展阶段和发展环境,提出了政府对道路运输行业的管理不仅不应消弱,相反应该大大加强的观点。对于竞争不完全的市场,政府的管制是至为必要的;仅强调开放运输市场只会增加竞争的无序和资源的浪费。文章认为今后相当时期对道路运输行业应实施适度管制的管理方针,而管制的重点在于运输市场的准入。     

城市轨道交通车辆基地室外综合管沟的应用研究

室外管线综合设计是城市轨道交通车辆基地设计的重点和难点,通常室外管线多以直埋的方式敷设于地下,但这种方式在设计、施工、运营维护阶段均存在着一些问题,因此提出了在室外设置综合管沟的方式,尽可能解决目前出现的问题.针对相关问题,提出了设置室外综合管沟的必要性和意义,从入沟管线种类分析、综合管沟管线布置原则、断面设计、特殊节...     

基于模糊综合评价法的城市综合管廊结构健康评价方法研究

为解决城市综合管廊结构健康状况评估结果无法量化和指导运维的问题,通过分析模糊综合评价理论在交通隧道结构健康评价方法研究中的应用,依照类比思想,利用该理论建立城市综合管廊结构健康状况评价体系。首先,依据有关养护规定和调研结果,基于不同需求分别建立管廊结构的本体完好状况和本体结构状况评价指标体系;其次,以交通隧道和综合管廊养护经验为基础,划分各指标的分级判定标准; 然后,采用层次分析法,计算评价指标的权重分配; 最后,采用柯西分布型隶属函数和矩阵型隶属函数确定各指标的隶属度,建立一级和二级模糊综合评价模型,赋予评价向量中各评语相应分值,将评价向量单值化,判定管廊结构健康状况。采用所提出的评价方法应用于实际工程,所得评价结果与经验评判得到的结果相同。     

机动车尾气污染对居民出行选择的影响

机动车尾气排放造成的空气污染对人体健康的危害逐渐被医学界证实。城市居民选择交通工具以及出行路线时,道路机动车尾气污染会影响其选择行为。文中通过居民出行问卷调查证实部分出行者会采取规避行为降低机动车尾气污染对个人健康的危害,建立表征出行者与污染气体接触程度的曝露指数模型,通过数据拟合建立增量时间转化模型,以出行时间增加值的形式定量得到机动车尾气污染对居民出行的影响程度,对离散选择模型的效用函数进行了修正,并给出了算例。     

Conjoint Analysis Based Transit Service Quality Research

Transit quality service is an important factor that affects the bus split rate. This paper studies the passenger's preference of the bus service with the conjoint analysis. Through the actual survey and data analysis, the utility values of the reliability, frequency, walking time, etc. are measured. And the attributes' weights are determined through the utility values. The results show that the bus reliability is passengers' first concern, which is followed by in-bus environment, walking time and frequency. And the station environment and the price weight low. Then the bus service quality in Nanjing was investigated based on the attributes. The results show that passengers' evaluations about reliability, in-bus environment and frequency in the peak period are much lower than that in the non-peak period. And their evaluation on reliability is very low. The peak period in-bus environment and frequency also get bad evaluation.     

Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach

In this paper, the effects of a inter-urban carsharing program on users’ mode choice behaviour were investigated and modelled through specification, calibration and validation of different modelling approaches founded on the behavioural paradigm of the random utility theory. To this end, switching models conditional on the usually chosen transport mode, unconditional switching models and holding models were investigated and compared. The aim was threefold: (i) to analyse the feasibility of a inter-urban carsharing program; (ii) to investigate the main determinants of the choice behaviour; (iii) to compare different approaches (switching vs. holding; conditional vs. unconditional); (iv) to investigate different modelling solutions within the random utility framework (homoscedastic, heteroscedastic and cross-correlated closed-form solutions). The set of models was calibrated on a stated preferences survey carried out on users commuting within the metropolitan area of Salerno, in particular with regard to the home-to-work trips from/to Salerno (the capital city of the Salerno province) to/from the three main municipalities belonging to the metropolitan area of Salerno. All of the involved municipalities significantly interact each other, the average trip length is about 30 km a day and all are served by public transport. The proposed carsharing program was a one-way service, working alongside public transport, with the possibility of sharing the same car among different users, with free parking slots and free access to the existent restricted traffic areas. Results indicated that the inter-urban carsharing service may be a substitute of the car transport mode, but also it could be a complementary alternative to the transit system in those time periods in which the service is not guaranteed or efficient. Estimation results highlighted that the conditional switching approach is the most effective one, whereas travel monetary cost, access time to carsharing parking slots, gender, age, trip frequency, car availability and the type of trip (home-based) were the most significant attributes. Elasticity results showed that access time to the parking slots predominantly influences choice probability for bus and carpool users; change in carsharing travel costs mainly affects carpool users; change in travel costs of the usually chosen transport mode mainly affects car and carpool users.     

Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models

The development of behaviourally richer representations of the role of well-established and increasingly important influences on modal choice, such as trip time reliability and accounting for risk attitude and process rules, has moved forward at a fast pace in the context of automobile travel. In the public transport setting, such contributions have, with rare exception, not been considered. In this paper, we discuss and empirically illustrate the merits of advanced modelling developments aimed at improving our understanding of public transport choice, namely the inclusion of reliability in extended expected utility theoretic forms, to recognize risk attitude and perceptual conditioning, the consideration of passenger crowding and its inclusion in linear additive models, and the role of multiple heuristics in representing attribute processing as a way of conditioning modal choice. We illustrate the mechanics of introducing these behaviourally appealing extensions using a modal choice data set collected in Sydney.