Influence of travel attributes on modal choice in an Indian city

Modal split models tried for Indian cities have not gone in depth in studying the impact of the attitude of users towards various travel attributes. The main difficulty with this has been non-availability of data. The study presented here tried two methodologies, attitude measurement and trade-off game approach, using data collected through household surveys conducted for the purpose on limited stratified samples in some locations in Madras. The results indicate how commuters value time and comfort factors more than the cost, given a choice. Due to prevailing economic conditions, cost plays a vital role, but analysis shows that users are prepared to incur additional cost, if they are assured of quicker and more comfortable services. Relative quantification between the influence of different attributes is also possible.     

Citizen involvement in the transportation planning process: What is and what ought to be

Public involvement in the transportation planning process is an effort to ensure that citizens have a direct voice in public decision‐making. Through shared goals, such involvement enriches the planning, implementation, operation and management process. Various strategies of involving the public in the planning process have been tried in the past thirty years, but the overall effort has been lumpy and at times disappointing. In the last few years some forms of communicative action have been applied, following its appearance in current literature, but we still have a long way to go. This paper has four main objectives. First, it surveys the citizen involvement effort as it is practiced today and the problems it faces. Second, it describes teleogenic systems that are particularly suited for tackling conflictual problems. Thirdly, it presents the interplay of virtuous and vicious cycles in reinforcing or retarding collective decision making. And lastly, the process of harvesting the potential of citizen groups in collective decision‐making through critical systems thinking is described.     

An application of activity-based travel analysis to simulation of change in behaviour

People are liable to exaggerate their future use of new transport facilities when they are interviewed about it before it is in operation. This is often due to the fact that they have no real frame of reference for the study. In order to overcome this, we have tried to perfect an original behaviour-change simulation method (Section 1). It has been tested on a town on the outskirts of Lyons (France) and has provided interesting results. However, to use it as a forecasting tool, we have to make sure that the assertions by potential users when interviewed are consistent with actual behaviour when the new facilities become available (Section 2). This test was carried out when a new light rail line was introduced in Grenoble (France). A first survey was undertaken before the opening of the new line, and people's actual (new) behaviour was surveyed after the new line opened. It is therefore possible to analyse the validity of the simulation (Section 3).     

Speed management via in-car devices: effects,implications, perspectives

The objectives of this paper are to identify in-vehicle systems for speed management that have been or are being developed, and to suggest recommendations for the implementation of systems that will effectively influence driving speeds and thereby significantly increase safety. The best safety effect is expected from an "intelligent" gas pedal, more specifically the automatic speed limiter. However, in terms of user acceptance, this system is least liked, although, acceptance seems to improve after it has been tried out. Nonetheless, the final goal for implementation should be a mandatory speed limiter system, starting with voluntary usage supported with educational measures. A period of car producers' standardisation of ISA-systems should be followed by legislation prescribing that all new vehicles are to be fitted with the system. Finally, some questions regarding further research are outlined.     

基于应力波反射法的桥梁竖向预应力筋管道注浆效果检测

文章结合某连续刚构桥,通过分析应力波反射法的检测原理,试将该检测方法用于桥梁竖向预应力筋波纹管注浆效果的评价,结果表明采用该方法检测桥梁单根预应力筋管道注浆密实度是一种高效、便捷、经济的检测方法。     

Improving urban traffic flow by restraint of traffic: The case of Lagos,Nigeria

Traffic restraint techniques, widely used to combat traffic congestion in the developed countries, have been tried in Lagos, Nigeria. This paper examines the impact of the use of odd and even numbered vehicles on alternate days in reducing congestion on the urban roads. The result of the analysis indicates that the restraint technique worked only during the first few months of its introduction. The basic causes of the subsequent failure are outlined and possible solutions suggested.     

Accompanied versus Unaccompanied Transport in Short Sea Shipping between Spain and Italy: An Analysis from Transport Road Firms Perspective

Short sea shipping (SSS) is called to play a key role in ensuring sustainable mobility in the European context. In the past years several studies tried to define the SSS requirements and also to identify the SSS lines that were economically viable. However, no studies approach the profile of their users—the road transport firms—and the organizational patterns adopted by them, in order to gain a better understanding of this transport modality. This research, on the basis of a sample of 81 international road transport firms that use SSS between Spain and Italy, analyses the profile of these firms and certain elements inherent to their relationship with the shipping firms, according to the two modalities of organizing their SSS transport operations: accompanied versus unaccompanied.     

Can scale and coefficient heterogeneity be separated in random coefficients models?

There is growing interest in the notion that a significant component of the heterogeneity retrieved in random coefficients models may actually relate to variations in absolute sensitivities, a phenomenon referred to as scale heterogeneity. As a result, a number of authors have tried to explicitly model such scale heterogeneity, which is shared across coefficients, and separate it from heterogeneity in individual coefficients. This direction of work has in part motivated the development of specialised modelling tools such as the G-MNL model. While not disagreeing with the notion that scale heterogeneity across respondents exists, this paper argues that attempts in the literature to disentangle scale heterogeneity from heterogeneity in individual coefficients in discrete choice models are misguided. In particular, we show how the various model specifications can in fact simply be seen as different parameterisations, and that any gains in fit obtained in random scale models are the result of using more flexible distributions, rather than an ability to capture scale heterogeneity. We illustrate our arguments through an empirical example and show how the conclusions from past work are based on misinterpretations of model results.     

Dynamic considerations of speed control humps

The objective of this study is to investigate the effects of hump parameters (cross section, dimensions, spacing, etc.) on the dynamic behaviour of the vehicle and the driver. Vehicle safety and driver comfort are most important in evaluating the effectiveness of speed control humps. A mathematical model representing the vehicle and the driver is developed. Several hump profiles are tried. A “basic” hump is selected and the effects of the individual parameters of the hump on the dynamic response of the system are evaluated through the computer simulation. The results are analysed, conclusions and recommendations for the design of speed control humps are specified.     

A methodology to evaluate driving efficiency for professional drivers based on a maturity model

Over the last decade, transport companies have tried to reduce fuel consumption using efficient driving programs. In them, motorists have to apply different specific techniques while driving. Thus, to succeed in this learning process there are two key elements: the knowledge of efficient driving techniques and the drivers’ motivation. The latter is a human factor which companies usually bring about by using reward systems. In this case, having a fair evaluation mechanism is the keystone to determine goal fulfilment. This paper presents a complete methodology to evaluate driving efficiency of drivers in professional fleets. The evaluation methodology is based on a continuous process which determines the maturity of the motorist in different aspects, such as the efficiency during the start of the vehicle movement, during motion or in stop events. In addition, the evaluation methodology includes an early-classification method to establish the initial efficiency level of the individual drivers which permits an adaptation of the learning process from the beginning. A dashboard has also been developed to support the evaluation methodology. 880 professional drivers have been evaluated with this methodology. Results show that the evaluation methodology identifies drivers’ weaknesses, to be improved in successive iterations of the learning process.     

Criteria for local transport subsidies

Governments have rarely been content to leave the provision of public transport services entirely to the market. Competition has been regulated and increasingly services have been subsidized from public funds. However, the criteria for such subsidies have been a continuing source of debate. Economists have tended to emphasize efficiency criteria and advocated the use of cost‐benefit analysis, but, for a variety of reasons, in the U.K. at least, this approach does not seem to have played a major role in the allocation of subsidies. Others have advocated more needs‐based approaches. Whilst these have been tried, they also have their limitations. The first few sections of the paper, therefore, review the development of these approaches in the U.K. and consider their shortcomings from the point of view of deciding on transport subsidies. In the latter part of the paper it is suggested that developments in the appraisal of health care procedures, particularly in the use of cost‐utility techniques, indicate a possible alternative approach. The approach in the health context is outlined and it is demonstrated how it might be applied to the appraisal of local transport services.     

Tackling traffic congestion in Accra,Ghana: A road user's perspective

A fast emerging component of the urban transportation problem in cities of the Third World is the problem of traffic congestion. Rapid increases in car ownership coupled with poor land use planning, inadequate road space, lack of regulated parking systems, uneducated use of the road by pedestrians, and bad driving behavior of motorists have all combined to produce congestions comparable to those experienced in cities in the advanced parts of the world. Traffic management measures have been tried in some of the major cities such as road expansion and redistribution of land uses in city centers, but most have produced minimal results. It is recommended in this paper that city authorities adopt an integrated approach to congestion with emphasis on influencing the behavior of the road users.     

Transport in large cities: a Brazilian point of view

Abstract

Following the historical evolution of urban transport in South America, the authors show the economic, technological and cultural facts that have governed its development until today.

The paper, mainly based on experience in large Brazilian cities, gives facts and figures about some of the most important towns where different approaches to urban transport were tried. Information about other South American countries is also given and discussed.

The article details the evolution, current situation and new plans in Sao Paulo city, describing concession criteria, modal split and the economics of the different modes in operation today and planned for future use, ending with the general influence of Sao Paulo experience of urban transport systems in many other Brazilian cities.     

Manual vs. adaptive cruise control – Can driver’s expectation be matched?

The role of the driver in the longitudinal car following control task will change from operator to supervisor with most of manual control replaced by automation as adaptive cruise control (ACC) technologies become commonplace. The extent to which manual control can be replaced by ACC will be determined by many factors. An important issue is the compatibility between ACC performance and the driver’s expectations.This paper describes the results of a simulation study of the performance of ACC relative to driver expectation. Driver’s expectation is quantitatively defined as the expected deceleration rate for several time-to-collision (TTC) levels, and an absolute minimum TTC that drivers tried to avoid in all cases. A two-level ACC algorithm was used to simulate the performance of an ACC equipped vehicle in various scenarios, and the result was compared to the driver’s expectations. The investigation has focused on scenarios which ACC is able to manage technically, but where driver expectations might be breached.By systematically changing variables such as the parameters of the ACC algorithms, traffic scenarios and time-headway settings, a large number of situations have been tested. The results have revealed that whilst appropriate ACC settings can be found which will meet the driver’s expectations, the ACC settings that are most capable in a range of traffic conditions are not necessarily the most user-friendly. A discussion on the implications of the findings is also presented.     

A long panel survey to elicit variation in preferences and attitudes in the choice of electric vehicles

This paper describes the methodology we set up to gather appropriate data to study the impact of real life experience with electric vehicles (EVs) over a relatively long period of time on individual preferences and attitudes. We used stated choices (SC) to elicit individual preferences because EVs and their associated charging infrastructure are not yet fully integrated onto the market. Furthermore, to measure the extent to which the experience of using an EV may affect individual preferences and attitudes, we set up a “long panel” survey, where data was gathered before and after individuals experienced an EV in real life during a three-month period. We also measured attitudinal effects (AE) that might affect the choice of an EV by individuals. To our knowledge, this represents the first example of a “long panel” SC/AE and the first attempt to measure the formation of preferences and attitudes for this emerging product. Our results show that preferences and attitudes are indeed affected by real life experience. In the SC experiment, the respondents only chose the EV half as often as compared to the situation where they had not yet tried it. Furthermore, we measured a change in attitude for statements regarding the use of EVs. On the whole, respondents got a more positive view of the EV driving performance and this change is significantly greater for women than for men. However, respondents expressed more concern about being able to maintain current mobility with an EV. The data gathered in this survey should also serve to analyse the changes generated by direct experience with EVs, and eventually to formulate and estimate advanced discrete choice models that allow insights into factors relevant for improved understanding of market behaviour.     

Unified estimator for excess journey time under heterogeneous passenger incidence behavior using smartcard data

Excess journey time (EJT), the difference between actual passenger journey times and journey times implied by the published timetable, strikes a useful balance between the passenger’s and operator’s perspectives of public transport service quality. Using smartcard data, this paper tried to characterize transit service quality with EJT under heterogeneous incidence behavior (arrival at boarding stations). A rigorous framework was established for analyzing EJT, in particular for reasoning about passenger’ journey time standards as implied by varying incidence behavior. It was found that although the wrong assumption about passenger incidence behavior and journey time standards could result in a biased estimate of EJT for individual passenger journeys, the unified estimator of EJT proposed in this paper is unbiased at the aggregate level regardless of the passenger incidence behavior (random incidence, scheduled incidence, or a mixture of both). A case study based on the London Overground network (with a tap-in-and-tap-out smartcard system) was conducted to demonstrate the applicability of the proposed method. EJT was estimated using the smartcard (Oyster) data at various levels of spatial and temporal aggregation in order to measure and evaluate the service quality. Aggregate EJT was found to vary substantially across the different London Overground lines and across time periods of weekday service.     

Random parameter models for estimating statewide daily bicycle counts using crowdsourced data

Persistent lack of non-motorized traffic counts can affect the evidence-based decisions of transportation planning and safety-concerned agencies in making reliable investments in bikeway and other non-motorized facilities. Researchers have used various approaches to estimate bicycles counts, such as scaling, direct-demand modeling, time series, and others. In recent years, an increasing number of studies have tried to use crowdsourced data for estimating the bicycle counts. Crowdsourced data only represents a small percentage of cyclists. This percentage, on the other hand, can change based on the location, facility type, meteorological, and other factors. Moreover, the autocorrelation observed in bicycle counts may be different from the autocorrelation structure observed among crowdsourced platform users, such as Strava. Strava users are more consistent; hence, the time series count data may be stationary, while bicycle demand may vary based on seasonal factors. In addition to seasonal variation, several time-invariant contributing factors (e.g., facility type, roadway characteristics, household income) affect bicycle demand, which needs to be accounted for when developing direct demand models. In this paper, we use a mixed-effects model with autocorrelated errors to predict daily bicycle counts from crowdsourced data across the state of Texas. Additionally, we supplement crowdsourced data with other spatial and temporal factors such as roadway facility, household income, population demographics, population density and weather conditions to predict bicycle counts. The results show that using a robust methodology, we can predict bicycle demand with a 29% margin of error, which is significantly lower than merely scaling the crowdsourced data (41%).     

Uni- and bi-directional pedestrian flow in the view-limited condition: Experiments and modeling

In this paper, the impact of vision on the uni- and bi-directional flow has been investigated via experiment and modeling. In the experiments, pedestrians are asked to walk clockwise/anti-clockwise in a ring-shaped corridor under view-limited condition and normal view condition. As expected, the flow rate under the view-limited condition decreases comparing with that under the normal view condition, no matter in uni- or bi-directional flow. In bidirectional flow, pedestrians segregate into two opposite moving streams very quickly under the normal view condition, and clockwise/anti-clockwise walking pedestrians are always in the inner/outer ring due to right-walking preference. In the first set of experiment, spontaneous lane formation has not occurred under the view-limited condition. Pedestrian flow does not evolve into stationary state. Local congestion occurs and dissipates from time to time. However, in the later sets of experiments, spontaneous lane formation has re-occurred. This is because participants learned from the experience and adapted right-walking preference to avoid collision. To model the flow dynamics, an improved force-based model has been proposed. The driving force has been modified. The right-walking preference has been taken into account. The fact that pedestrians cannot judge the moving direction accurately under limited-view condition has been considered. Simulation results are in good agreement with the experimental ones.     

Patterns of urbanization and energy requirements: recent regulation changes and simulation studies concerning American urban areas

In recent years, the world economy has become more integrated internationally and container transportation has become increasingly more important as the proportion of all trade using containers is continuously growing. In order to adapt to the increasing containerization trend, it is essential to plan and construct adequate ports and facilities to cope with this development.

Based on the analysis of factors influencing container movements, this paper illustrates the logical relationships for a distribution model, which has been used to predict the distribution of containers among the three main Seaports near Shenzhen and Hong Kong. A fuzzy number‐based distribution model is outlined in the paper. The paper illustrates the main influencing factors and their logical relationships and proposes a primary distribution model where the attractiveness of each port has been calibrated. The results show that the Port of Hong Kong is significantly more attractive than the other two ports modelled and is likely to continue to be so in the future.