scholarly journals Exploratory Analysis of Public Transportation Data in Curitiba

2020 ◽  
Author(s):  
Nádia P. Kozievitch ◽  
Tatiana M. C. Gadda ◽  
Keiko V. O. Fonseca ◽  
Marcelo O. Rosa ◽  
Luiz C. Gomes Jr. ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Public Transportation ◽  
Exploratory Data Analysis ◽  
User Behavior ◽  
Transportation Systems ◽  
Urban Mobility ◽  
Smart Transportation ◽  
Exploratory Data ◽  
Over Time

Smart transportation systems have been providing more data over time (such as bus routes, users, smartphones, etc.). Such data provides a number of opportunities to identify various facets of user behavior and traffic trends. In this paper we address some of the urban mobility challenges (already discussed by the Brazilian Computer Society), from a number of different perspectives, including (i) pattern discovery, (ii) statistical analysis, (iii) data integration, and (iv) open and connected data. In particular, we present an exploratory data analysis with GIS for public transportation toward a case study in Curitiba, Brazil.

scholarly journals “Mobility as a Service” Platforms: A Critical Path towards Increasing the Sustainability of Transportation Systems

2020 ◽  
Vol 12 (16) ◽  
pp. 6368 ◽  
Author(s):  
Carlos Oliveira Cruz ◽  
Joaquim Miranda Sarmento
Keyword(s):  
Business Models ◽  
Critical Path ◽  
Traditional Approach ◽  
Ghg Emissions ◽  
Transportation Systems ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Home Work ◽  
The Internet Of Things

Urban mobility is experiencing a profound change. Mobility patterns are becoming more complex, and typical home–work–home travel is no longer the rule, as journeys tend to connect multiple points in a rather inconstant pattern. This has changed the approach to transport planning. Existing transportation planning and operation approaches have been focussed on the ability to identify and forecast typical home–work/school–home travel and subsequently plan the transport system accordingly. The traditional approach has been: Forecast - > plan - > deliver. New mobility patterns and mobility solutions are characterised by greater flexibility, taking advantage of the “sharing concept” and simultaneously providing solutions that have lower greenhouse gas (GHG) emissions. These dynamics and an evolving environment raise several new challenges at different levels, fostering the development of Mobility-as-a-Service (MaaS). This system transforms the physical transportation system into a commodity and takes advantage of the internet of things (IoT). However, the onset of MaaS solutions is anything but linear. Several business models have emerged, with different partners originating from different industries (e.g., technological, transport operators, infrastructure managers, etc.) developing their own solutions, often in competition with others. It is not unusual to find different MaaS solutions in the same city, which integrate different solutions. This paper intends to provide an analysis on the main challenges affecting mobility in general, and MaaS in particular, as well as the main business models used for delivering MaaS solutions. The paper uses a case study in Lisbon to illustrate some of the challenges.

scholarly journals “Unparking”: How can Smart Mobility Reduce Parking Demand in Our Cities to the Minimum? (Beirut Case Study)

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 172-185
Author(s):  
Adib Haydar
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
Decision Makers ◽  
Demand And Supply ◽  
Mobility System ◽  
Smart Mobility ◽  
Public Transportation Systems ◽  
Parking Demand ◽  
The City

Beirut is a car-dependent city, with 80% of Beirut citizens using their private cars to move across the city (the rate of car ownership is higher than regional and global benchmarks: 627 cars/1000 in Beirut, 550/1000 in Dubai and 170/1000 in Singapore). This reality causes two related impacts: an increased parking demand and decreased public transportation usage. Furthermore, in order to discuss these aspects, our study addresses the following question: How can the municipality’s interventions and mobility system reforms, such as smart public transportation systems and shareable mobility, reduce parking demand? As our methodology, it consists of three sections: (1) determine Beirut's parking problems by estimating parking demand and supply; (2) assess the potential effects of Beirut municipality policies in comparison to international experiences; and (3) evaluate the potential impacts of the smart public transportation system and shareable mobility in reducing parking demand. This paper studies parking growth in developing countries, such as Lebanon, and can help planners, decision-makers, and the Beirut municipality to make more informed decisions about parking policies, and to meet growing parking demand by introducing smart interventions that have high local potentials.

scholarly journals Optimal Routing and Scheduling of Charge for Electric Vehicles: A Case Study

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
J. Barco ◽  
A. Guerra ◽  
L. Muñoz ◽  
N. Quijano
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Public Transportation ◽  
Differential Evolution Algorithm ◽  
Transportation Systems ◽  
Routing Problems ◽  
Routing Problem ◽  
Routing And Scheduling ◽  
Battery Degradation

There are increasing interests in improving public transportation systems. One of the proposed strategies for this improvement is the use of Battery Electric Vehicles (BEVs). This approach leads to a new challenge as the BEVs’ routing is exposed to the traditional routing problems of conventional vehicles, as well as the particular requirements of the electrical technologies of BEVs. Examples of BEVs’ routing problems include the autonomy, battery degradation, and charge process. This work presents a differential evolution algorithm for solving an electric vehicle routing problem (EVRP). The formulation of the EVRP to be solved is based on a scheme to coordinate the BEVs’ routing and recharge scheduling, considering operation and battery degradation costs. A model based on the longitudinal dynamics equation of motion estimates the energy consumption of each BEV. A case study, consisting of an airport shuttle service scenario, is used to illustrate the proposed methodology. For this transport service, the BEV energy consumption is estimated based on experimentally measured driving patterns.

scholarly journals Conference facilities as a key factor in the competitiveness of urban hotels: A case study of Łódź (Poland)

2020 ◽  
Vol 10 (3) ◽  
pp. 229-240
Author(s):  
Joanna Bik ◽  
Anna Poreda ◽  
Andrzej Matczak
Keyword(s):  
Exploratory Data Analysis ◽  
Field Research ◽  
Urban Tourism ◽  
Service Capacity ◽  
Key Factor ◽  
Conference Service ◽  
Exploratory Data ◽  
Mice Tourism ◽  
Correct Measure

Abstract The article aims to assess the competitiveness of hotels in Łódź on the meeting tourism (MICE) market based on an analysis of their conference facilities. The data was obtained from GUS statistics, reports on MICE tourism in Poland and as a result of own field research carried out in 2019. Exploratory data analysis was used in their development. The development of modern hotels in Łódź of higher categories with obligatory conference rooms has contributed to the diversification of the possibilities of organising MICE tourism by city hotels. The hotel’s possession of conference facilities has become an important factor in building its competitive advantage. The analysis of hotel equipment with conference facilities, using the conference service capacity (CSC) index, turned out to be a sufficiently correct measure to illustrate the diversity of hotels’ ability to compete in the MICE urban tourism market.

Cross-Sector Collaboration between Business and Non-Business Actors

2016 ◽  
pp. 2238-2257
Author(s):  
Emilene R. Leite ◽  
Anna Bengtson
Keyword(s):  
Project Management ◽  
Public Transportation ◽  
Social Dimension ◽  
Urban Mobility ◽  
Project Outcome ◽  
The Social ◽  
South Of Brazil ◽  
Combined Impact ◽  
Behavioural Aspects

The purpose of this chapter is to contribute to the project management literature by introducing behavioural aspects of relationships in collaborative ICT projects. Specifically, it examines the role played by business and non-business actors in successful projects regarding urban mobility in emerging economies. To accomplish this, a case study was undertaken, based on the development of a solution for public transportation in the South of Brazil. The findings suggest that, besides technological know-how, the interplay between commitment, knowledge, and opportunity development seem to have a combined impact on project outcome. The result strengthens the idea that studies analysing project management should consider not only rational dimensions of the projects, such as cost, time, quality, and scope, but also the social dimension in terms of the relationships that partners develop during and after the project.

Selecting Robust Kinetic Models on Noisy Data Using the Bootstrap

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Cayle J Sharrock ◽  
Roelof Coetzer
Keyword(s):  
Systematic Approach ◽  
Exploratory Data Analysis ◽  
Noisy Data ◽  
Water Gas Shift ◽  
Industrial Case Study ◽  
Analysis Techniques ◽  
Exploratory Data ◽  
Shift Reaction ◽  
Water Gas

A systematic approach to identifying a robust kinetic model fitted on noisy data is presented. The bootstrap coupled with Monte-Carlo simulations and exploratory data analysis techniques are employed to evaluate candidate model formulations to given sets of experimental data. The approach is applied in an industrial case study in determining the most practical rate expression for the water-gas shift reaction over a cobalt Fischer-Tropsch catalyst.

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