scholarly journals Data-Driven Performance Evaluation Framework for Multi-Modal Public Transport Systems

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 17
Author(s):  
Ana Belén Rodríguez Rodríguez González ◽  
Juan José Vinagre Vinagre Díaz ◽  
Mark R. Wilby ◽  
Rubén Fernández Fernández Pozo
Keyword(s):  
Performance Evaluation ◽  
Public Transport ◽  
Evaluation Framework ◽  
Data Driven ◽  
Transport Systems ◽  
Optimal Decision ◽  
Mobility Patterns ◽  
Public Transport System ◽  
Decision Making Processes ◽  
Optimal Decision Making

Transport agencies require accurate and updated information about public transport systems for the optimal decision-making processes regarding design and operation. In addition to assessing topology and service components, users’ behaviors must be considered. To this end, a data-driven performance evaluation based on passengers’ actual routes is key. Automatic fare collection platforms provide meaningful smart card data (SCD), but these are incomplete when gathered by entry-only systems. To obtain origin–destination (OD) matrices, we must manage complete journeys. In this paper, we use an adapted trip chaining method to reconstruct incomplete multi-modal journeys by finding spatial similarities between the outbound and inbound routes of the same user. From this dataset, we develop a performance evaluation framework that provides novel metrics and visualization utilities. First, we generate a space-time characterization of the overall operation of transport networks. Second, we supply enhanced OD matrices showing mobility patterns between zones and average traversed distances, travel times, and operation speeds, which model the real efficacy of the public transport system. We applied this framework to the Comunidad de Madrid (Spain), using 4 months’ worth of real SCD, showing its potential to generate meaningful information about the performance of multi-modal public transport systems.

scholarly journals BRIDGING TOURIST ATTRACTIONS. THE ROLE OF WATERBUSES IN URBAN TOURISM DEVELOPMENT: THE CASE OF THE COASTAL CITY OF GDAŃSK (POLAND)

2021 ◽  
Vol 34 (1) ◽  
pp. 126-131
Author(s):  
Maciej TARKOWSKI ◽  
◽  
Marcin POŁOM ◽  
Krystian PUZDRAKIEWICZ ◽  
◽  
...  
Keyword(s):  
Public Transport ◽  
Spatial Development ◽  
Transport Systems ◽  
Tourist Attractions ◽  
Public Transport System ◽  
Coastal City ◽  
Transport Services ◽  
International Importance ◽  
Tourist Center

Identification of the role of the waterbus system in the development of tourism in a large coastal city – a tourist center of international importance. Cartographic materials, qualitative and quantitative data on the waterbus system, spatial development and tourist traffic were used. Quantitative temporal and spatial analyses were conducted, including GIS analyses. Service of the tourist traffic is the dominant function of the waterbus in Gdańsk. This is determined by three categories of factors: (i) the seasonal nature of the system and a low level of integration with the public transport system; (ii) low potential demand for transport services due to the fact that most of the stops are far away from large residential or work centers; (iii) proximity of most of the city’s main tourist attractions to the stops. The obtained results are helpful in programming the development of public transport systems, especially in large tourist coastal cities. The conditions of spatial development are of key importance for shaping the dominant function of the waterbus.

scholarly journals Masivo: Parallel Simulation Model Based on OpenCL for Massive Public Transportation Systems’ Routes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1501
Author(s):  
Juan Ruiz-Rosero ◽  
Gustavo Ramirez-Gonzalez ◽  
Rahul Khanna
Keyword(s):  
Simulation Model ◽  
Transport System ◽  
Public Transport ◽  
Public Transportation ◽  
High Performance ◽  
Simulation Models ◽  
Transportation Systems ◽  
Transport Systems ◽  
Public Transport System ◽  
Speed Up

There is a large number of tools for the simulation of traffic and routes in public transport systems. These use different simulation models (macroscopic, microscopic, and mesoscopic). Unfortunately, these simulation tools are limited when simulating a complete public transport system, which includes all its buses and routes (up to 270 for the London Underground). The processing times for these type of simulations increase in an unmanageable way since all the relevant variables that are required to simulate consistently and reliably the system behavior must be included. In this paper, we present a new simulation model for public transport routes’ simulation called Masivo. It runs the public transport stops’ operations in OpenCL work items concurrently, using a multi-core high performance platform. The performance results of Masivo show a speed-up factor of 10.2 compared with the simulator model running with one compute unit and a speed-up factor of 278 times faster than the validation simulator. The real-time factor achieved was 3050 times faster than the 10 h simulated duration, for a public transport system of 300 stops, 2400 buses, and 456,997 passengers.

scholarly journals Data-Driven Analysis of Bicycle Sharing Systems as Public Transport Systems Based on a Trip Index Classification

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4315
Author(s):  
Mark Richard Wilby ◽  
Juan José Vinagre Díaz ◽  
Rubén Fernández Pozo ◽  
Ana Belén Rodríguez González ◽  
José Manuel Vassallo ◽  
...  
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Transport Systems ◽  
Mathematical Framework ◽  
The Public ◽  
Traffic Lights ◽  
Public Transport System ◽  
Specific Analysis ◽  
Last Mile

Bicycle Sharing Systems (BSSs) are exponentially increasing in the urban mobility sector. They are traditionally conceived as a last-mile complement to the public transport system. In this paper, we demonstrate that BSSs can be seen as a public transport system in their own right. To do so, we build a mathematical framework for the classification of BSS trips. Using trajectory information, we create the trip index, which characterizes the intrinsic purpose of the use of BSS as transport or leisure. The construction of the trip index required a specific analysis of the BSS shortest path, which cannot be directly calculated from the topology of the network given that cyclists can find shortcuts through traffic lights, pedestrian crossings, etc. to reduce the overall traveled distance. Adding a layer of complication to the problem, these shortcuts have a non-trivial existence in terms of being intermittent, or short lived. We applied the proposed methodology to empirical data from BiciMAD, the public BSS in Madrid (Spain). The obtained results show that the trip index correctly determines transport and leisure categories, which exhibit distinct statistical and operational features. Finally, we inferred the underlying BSS public transport network and show the fundamental trajectories traveled by users. Based on this analysis, we conclude that 90.60% of BiciMAD’s use fall in the category of transport, which demonstrates our first statement.

Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system

2010 ◽  
Vol 6 (4) ◽  
pp. 455-466 ◽  
Author(s):  
Andreas Kaltenbrunner ◽  
Rodrigo Meza ◽  
Jens Grivolla ◽  
Joan Codina ◽  
Rafael Banchs
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Mobility Patterns ◽  
Public Transport System

Markov Decision Models for Optimal Decision Making in Bottlenecks Identification and Mitigation

2015 ◽  
Author(s):  
Yang Li ◽  
Qing Chang ◽  
Xiaoning Jin ◽  
Jun Ni
Keyword(s):  
Optimal Policy ◽  
Data Driven ◽  
Optimal Decision ◽  
Stochastic Methods ◽  
Bottleneck Analysis ◽  
Markov Decision Models ◽  
Markov Decision ◽  
Optimal Decision Making

Existing methods for bottleneck detection can be categorized into two: methods based on stochastic analysis and methods based on data-driven analysis. The stochastic methods are accurate in estimating bottlenecks in long term, ignoring the current improvement opportunities, while the data-driven methods tend to do the opposite. In this paper, we develop an optimal policy to integrate the two methods based on Markov decision theory. The characterization of the optimal policy is provided. In addition, to implement the policy, the optimal frequency for carrying out bottleneck analysis is investigated. Numerical experiment is performed to validate the effectiveness of the optimal policy and compare it to the existing methods.

scholarly journals Challenges of Low Carbon Public Transport Systems in the Arabian Gulf City: Case of Muscat, Oman

2021 ◽  
pp. 117-125
Author(s):  
Elnazir Ramadan
Keyword(s):  
Energy Consumption ◽  
Transport System ◽  
Public Transport ◽  
Arabian Gulf ◽  
Sustainable Transportation ◽  
Transport Systems ◽  
Mass Transportation ◽  
Low Carbon ◽  
Gulf Region ◽  
Public Transport System

The Arabian Gulf cities are growing. The gulf cooperation council states (GCCs) are among the richest and most urbanized in the world. As a major focus on sustainable development of cities, sustainable transportation acts to diminish the city’s energy consumption by providing a public transport system that has greater ecological obligation and societal justice. The study’s significance is to figure out the challenges in the sector of public transport in the city of Muscat. The wide spread of mass transportation plays a significant role in reducing the exhaustion of energy. Also, it contributes to make a better living experience.  Provision of sustainable public transport will prevent the increasing number of motor cars and equally accompanied environmental pollution and traffic congestion. The study is based on an in-depth quantitative and qualitative research method to explore the hindrances that are encountered in the way of building sustainable infrastructure of public transport. The findings of the study revealed that public transport system face real challenges in Gulf region, particularly in Muscat. It indicated that for the well-being of Gulf society, the use of public transportation was encouraged and most of the population have their own cars. In addition to it, cultural and social preservations are raised, mainly by the people that act against the operation of public transport system. Due to the substantial effect of clean  and  sustainable transportation  on energy consumption levels, recent years have been marked with a notable trend  towards  sustainable and  low carbon systems, particularly the mass  transportation ones.

Comparative Analysis of Public Transport Users' Perception Targeting Sustainable Transportation

2020 ◽  
pp. 911-933
Author(s):  
Yetis Sazi Murat ◽  
Ziya Cakici
Keyword(s):  
Public Transport ◽  
Sustainable Transportation ◽  
Transport Systems ◽  
The Public ◽  
Public Transport System ◽  
On Demand ◽  
Public Survey ◽  
Strong Relation ◽  
Private Car

Public transport is one of the main actors of sustainable transportation. To make an increase in the use of public transport systems and a decrease in private car usage are one of the main purposes of decision makers in many countries. Usage of public transport system has a strong relation with the quality of service. Service quality includes many parameters such as comfort, frequency, information system etc. Fare is another important parameter on demand for public transport systems. All of these parameters are varied by users' perceptions. This study focuses on public transport systems of Denizli, Turkey and investigates users' perceptions. Bus and paratransit (minibus) modes are regarded in the study. The public survey is performed for these modes. In the surveys, different questions have been asked to participants. Answer of each question is evaluated separately and distribution of each question for gender, ages and jobs are analyzed. Results obtained are summarized and discussed.

Motion Sickness

2021 ◽  
pp. 97-113
Author(s):  
Debasish Roy Chowdhury ◽  
John Keane
Keyword(s):  
Social Networks ◽  
Motion Sickness ◽  
Transport System ◽  
Public Transport ◽  
Transport Systems ◽  
Life Strategies ◽  
Public Transport System ◽  
Rail Network ◽  
Government Oversight ◽  
Social Inequities

This chapter focuses on India’s public transport system. If cities are democratic laboratories that nurture free and equal motion, then India fails the test every day. In Mumbai, for example, up to sixteen people can find themselves packed into a one-square-metre space inside a carriage during peak hours as Indian Railways fails to provide enough trains and coaches to the financial capital’s arterial rail network. Travelling like animals, risking their lives for livelihood, has been the lot of Mumbai’s daily commuters for as long as they can remember. Away from the cities, where 70 per cent of India lives, the picture is even bleaker, with virtually no state-run public transport system—buses or trains. The daily indignities and inconveniences of travelling prevents citizens from freely accessing goods, services, and social networks that are key to the pursuit of their chosen life strategies. By hindering everyday mobility, hazardous and insufficient transport options have the anti-democratic effect of perpetuating social inequities and dispersing communities into isolated silos that prevent collective assembly, deliberation, and action. Other than dilapidated or non-existent public transport systems, elitist policies, and poor government oversight hinder movement—and democracy—in various other ways.

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