Decision-Making Framework to Allocate Real-Time Passenger Information Signs at Bus Stops: Model Application in Athens, Greece

Author(s):  
Styliani Papagianni ◽  
Christina Iliopoulou ◽  
Konstantinos Kepaptsoglou ◽  
Antony Stathopoulos

The use of intelligent transport systems for the provision of real-time passenger information is an important incentive in efforts to strengthen the role of public transport and improve livability in large cities. Electronic signs installed at bus stops to disseminate information on bus arrivals are an important component of these systems with a significant capital cost. Nonetheless, to the best of the authors’ knowledge, there is no systematic approach for the selection of location sites for deployment of dynamic message signs (DMS). Public transport authorities often follow ad hoc procedures that are based on various location criteria—namely, passenger boardings, availability of power, and number of routes served at bus stops—to derive a set of candidate location sites. This was the case with the methodology implemented by the Athens Urban Transport Organization in Athens, Greece. With data from Athens, this paper proposes a modeling framework for the decision-making process regarding DMS locations in bus networks. The framework is formulated as a linear programming model, and the results show that the proposed model constitutes a systematic and transferable approach to tackle the problem at hand.

2021 ◽  
Vol 13 (6) ◽  
pp. 3086
Author(s):  
Marcin Jacek Kłos ◽  
Grzegorz Sierpiński

The intense growth of cities affects their inhabitants to a considerable extent. The issues facing the traveling population include congestion and growing harmful emissions. Urban transport requires changes towards eco-friendly solutions. However, even though new forms of traveling (sharing services) are being implemented, their integration with public transport remains problematic. On account of the large number of available services combined with the absence of their integration, city inhabitants are faced with the dilemma of choosing between one or several transport modes which would enable them to make the given trip. The main goal of this article is to propose a model for integration of different transport services which could support those who intend to travel in the decision-making process. Therefore, the parameters of a model of urban sharing services were identified and classified. The parameters discussed in the paper with reference to an extensive literature review describe how individual sharing services are functioning. What has also been identified is the location-specific factors as well as those related to the potential area of operation which affect the integration with public transport. In order to take all the relevant parameters into account and find a solution to the problem at hand, a multi-criteria decision-making approach has been proposed. To this end, scores and weights determining their impact on the model have been established. For purposes of the solution in question, the relevant calculations were conducted by referring to an actual need to travel between selected locations.


Author(s):  
Sonnam Jo ◽  
Liang Gao ◽  
Feng Liu ◽  
Menghui Li ◽  
Zhesi Shen ◽  
...  

Robustness studies on integrated urban public transport networks have attracted growing attention in recent years due to the significant influence on the overall performance of urban transport system. In this paper, topological properties and robustness of a bus–subway coupled network in Beijing, composed of both bus and subway networks as well as their interactions, are analyzed. Three new models depicting cascading failure processes on the coupled network are proposed based on an existing binary influence modeling approach. Simulation results show that the proposed models are more accurate than the existing method in reflecting actual passenger flow redistribution in the cascading failure process. Moreover, the traffic load influence between nodes also plays a vital role in the robustness of the network. The proposed models and derived results can be utilized to improve the robustness of integrated urban public transport systems in traffic planning.


2013 ◽  
Vol 14 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Andres Monzon ◽  
Sara Hernandez ◽  
Rocio Cascajo

One of the main problems in urban areas is the steady growth in car ownership and traffic levels. Therefore, the challenge of sustainability is focused on a shift of the demand for mobility from cars to collective means of transport. For this purpose, buses are a key element of the public transport systems. In this respect Real Time Passenger Information (RTPI) systems help people change their travel behaviour towards more sustainable transport modes. This paper provides an assessment methodology which evaluates how RTPI systems improve the quality of bus services performance in two European cities, Madrid and Bremerhaven. In the case of Madrid, bus punctuality has increased by 3%. Regarding the travellers perception, Madrid raised its quality of service by 6% while Bremerhaven increased by 13%. On the other hand, the users´ perception of Public Transport (PT) image increased by 14%.


2020 ◽  
Vol 12 (15) ◽  
pp. 6067 ◽  
Author(s):  
Jonas Damidavičius ◽  
Marija Burinskienė ◽  
Jurgita Antuchevičienė

An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.


2019 ◽  
Vol 37 (3) ◽  
pp. 604-624
Author(s):  
Yanlan Mei ◽  
Ping Gui ◽  
Xianfeng Luo ◽  
Benbu Liang ◽  
Liuliu Fu ◽  
...  

Purpose The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel approach to ensure the crowd safety and reduce the casualties in the emergency context. An evacuation route programming model is constructed to select a suitable evacuation route and support the emergency decision maker of metro station. Design/methodology/approach The IoT technology is employed to collect and screen information, and to construct an expert decision model to support the metro station manager to make decision. As a feasible way to solve the multiple criteria decision-making problem, an improved multi-attributive border approximation area comparison (MABAC) approach is introduced. Findings The case study indicates that the model provides valuable suggestions for evacuation route programming and offers practical support for the design of an evacuation route guidance system. Moreover, IoT plays an important role in the process of intelligent route programming of crowd emergency evacuation in metro station. A library has similar structure and crowd characteristics of a metro station, thus the intelligent route programming approach can be applied to the library crowd evacuation. Originality/value The highlights of this paper are listed as followings: the accuracy and accessibility of the metro station’s real-time information are improved by integrating IoT technology with the intelligent route programming of crowd emergency evacuation. An improved MABAC approach is introduced to the expert support model. It promotes the applicability and reliability of decision making for emergency evacuation route selection in metro station. It is a novel way to combine the decision-making methods with practice.


2020 ◽  
Vol 12 (16) ◽  
pp. 6390 ◽  
Author(s):  
Krzysztof Grzelec ◽  
Aleksander Jagiełło

In recent years fare-free public transport (FFPT) found itself at the centre of attention of various groups, such as economists, transport engineers and local authorities, as well as those responsible for the organisation of urban transport. The FFPT is hoped to be the answer to contemporary transport-related problems within cities, problems which largely result from insensible proportions between trips carried out via personal mode of transportation and those completed by the means of public transport. This article reviews the motives and effects connected with the introduction to date of fare-free transport zones across the globe. It also presents, using data obtained in market research, the actual impact of a selective extension of the entitlement to free fares on the demand for urban transport services. The effects observed in other urban transport systems were then compared against those observed in relation to one, examined system. Analyses of observed FFPT implementation effects were then used to establish good and bad practices in the introduction of FFPT. The article also contains forecasts on the effect of the extension of entitlement to free fares and an increase in the public transport offer may have on the volume of demand for such services. The analyses have shown that an increase in the public transport offer (understood as an increase in the volume of vehicle-kilometres) would increase the demand for urban transport services more than the selective implementation of FFPT (assuming that the costs incurred by the local authorities remain unchanged).


Spatium ◽  
2020 ◽  
pp. 12-21
Author(s):  
Christos Tsioulianos ◽  
Socrates Basbas ◽  
Georgios Georgiadis

The spatial arrangement of public transport systems seriously affects their ridership and thus the fulfillment of sustainable transport goals. This paper examines the case of students at Aristotle University of Thessaloniki and investigates their perceptions regarding a critical spatial attribute of public transport, that is, the walking distance they have to cover to/from bus stops when they commute by bus to their campus. A questionnaire survey was conducted to collect relevant data from 300 students and a set of statistical inference methods was employed to explore whether student-specific attributes relate to the walking distances they consider to be acceptable. Empirical findings highlighted weak relationships between user/trip specific attributes with regard to students, and their walking distance preferences for the bus public transport services they use. The majority of students consider that the maximum acceptable walking distance can be higher than the standard value of 400 meters. Moreover, they would be willing to walk more than they currently do in order to reach a bus stop with higher service frequencies to their campus. The study concept and findings could assist in delivering a more successful spatial design of bus public transport systems which serve university campuses. A more sparsely positioned network of bus stops would provide better opportunities for personal physical activity but should not yield increased total travel times; and they should incorporate local user expectations. Public transport agencies could also benefit from achieving higher service speeds which, in turn, would reduce energy consumption and operating costs.


2020 ◽  
Vol 12 (3) ◽  
pp. 1052 ◽  
Author(s):  
Krystian Pietrzak ◽  
Oliwia Pietrzak

This article has taken up an issue concerning the influence of the implementation of electromobility assumptions on reduction of air pollution in cities in terms of sustainable urban transport systems. The essential nature of the subject is confirmed by the following figures: transport is responsible for almost 25% of greenhouse gas emissions in Europe and is the main cause of air pollution in cities, almost 90% of city dwellers in the EU are exposed to levels of air pollutants deemed harmful by the WHO, and approximately 95% of vehicles on European roads still use fossil fuels. Therefore, the implemented transport policy, both in the international and domestic aspect of particular countries, is facing the need to significantly reduce the negative influence of transport on people and the environment. Electromobility has become one of the concepts that makes it possible to achieve this goal. Its main objective is to reduce emissions of harmful substances into the environment by deploying electric vehicles (EVs). Research conducted by the authors showed that public transport, apart from the obvious effect of decreased number of private vehicles and decreased congestion, can contribute to reduced air pollutant emissions and become a significant driver for the implementation of electromobility in cities. However, the achievement of this goal depends on taking appropriate actions not only in the transport branch but also in other sectors of economy. The following research methods were applied in the article: literature analysis, documentary method, case study, and mathematical methods. The research area was the city of Szczecin, Poland.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Nauman Ahmad Khan ◽  
Jean-Christophe Nebel ◽  
Souheil Khaddaj ◽  
Vesna Brujic-Okretic

Efficient management of smart transport systems requires the integration of various sensing technologies, as well as fast processing of a high volume of heterogeneous data, in order to perform smart analytics of urban networks in real time. However, dynamic response that relies on intelligent demand-side transport management is particularly challenging due to the increasing flow of transmitted sensor data. In this work, a novel smart service-driven, adaptable middleware architecture is proposed to acquire, store, manipulate, and integrate information from heterogeneous data sources in order to deliver smart analytics aimed at supporting strategic decision-making. The architecture offers adaptive and scalable data integration services for acquiring and processing dynamic data, delivering fast response time, and offering data mining and machine learning models for real-time prediction, combined with advanced visualisation techniques. The proposed solution has been implemented and validated, demonstrating its ability to provide real-time performance on the existing, operational, and large-scale bus network of a European capital city.


Sign in / Sign up

Export Citation Format

Share Document