The De-Marketing of Private Transportation Uses

The increase in air transportation demand implies challenges on airport ground access. Using private transportation mode to reach the airport is a typical practice which results in the vast demand for parking facilities. These facilities are located farther from the terminal, increasing the access time. This research aimed to develop the concept of an advance airport Personal Rapid Transit (PRT) that connects parking facilities to the terminal as a shuttle service, and provides on-board integrated flight-related services, such as check-in and baggage handling. The system architecture and operational models were developed, thus all relevant components and functions were identified, especially focusing on information management tasks. A questionnaire survey was performed and conducted at Budapest Airport to reveal the user expectations towards an advanced PRT service at the airport. Moreover, a layout selection method was developed which was applied to Budapest Airport as a case study. The proposed PRT service provides a seamless transit by access to airport terminals from remote parking facilities conveniently and the time consumption of flight-related activities is significantly reduced too.

Download Full-text

Analisis Pemilihan Moda Transportasi Mahasiswa Universitas Jember Menuju Kampus

BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil ◽

10.33558/bentang.v10i1.2930 ◽

2022 ◽

Vol 10 (1) ◽

pp. 49-58

Author(s):

Alfin Kristyanto ◽

Akhmad Hasanuddin ◽

Paksitya Purnama Putra

Keyword(s):

Research Data ◽

Time Factor ◽

Transportation Modes ◽

Student Transportation ◽

Private Transportation ◽

Mode Of Transportation ◽

High Flexibility ◽

The University ◽

Hierarchy Process ◽

Selection Of

The use of private transportation modes to the Tegal Boto campus, Jember University has increased. The increase in the volume of private vehicles will cause congestion if it is not regulated properly. Therefore, an analysis related to the selection of student transportation modes is needed to determine the tendency of students to choose transportation modes. The results of this study will be used as a first step in the improvement of transportation facilities in the area around the Tegal Boto campus, Universitas Jember. Analysis of the factors that influence students in choosing the mode of transportation will be carried out in this study. In addition, the priority of choosing the mode of transportation used by students to the Tegal Boto campus, Jember University will also be known. Research data will be obtained from questionnaires and documents from the University of Jember. The data will be analyzed using the Analytical Hierarchy Process (AHP). The results of the AHP analysis show that the factors that dominate the choice of student transportation modes to the Tegal Boto campus, Jember University are the time factor (33%). Meanwhile, the student's priority modes of transportation are motorbikes (32.7%). The choice of motorcycle mode has the largest percentage due to it is based on consideration of the time factor. Students need transportation modes that have high flexibility such as motorbikes so that the time needed to reach campus is shorter.

Download Full-text

Deep Learning System for Vehicular Re-Routing and Congestion Avoidance

Applied Sciences ◽

10.3390/app9132717 ◽

2019 ◽

Vol 9 (13) ◽

pp. 2717 ◽

Cited By ~ 3

Author(s):

Pedro Perez-Murueta ◽

Alfonso Gómez-Espinosa ◽

Cesar Cardenas ◽

Miguel Gonzalez-Mendoza

Keyword(s):

Deep Learning ◽

Intelligent Transportation Systems ◽

Urban Areas ◽

Transportation Systems ◽

Learning System ◽

Traffic Network ◽

Public And Private ◽

Traffic Jam ◽

Private Transportation ◽

Alternative Routes

Delays in transportation due to congestion generated by public and private transportation are common in many urban areas of the world. To make transportation systems more efficient, intelligent transportation systems (ITS) are currently being developed. One of the objectives of ITS is to detect congested areas and redirect vehicles away from them. However, most existing approaches only react once the traffic jam has occurred and, therefore, the delay has already spread to more areas of the traffic network. We propose a vehicle redirection system to avoid congestion that uses a model based on deep learning to predict the future state of the traffic network. The model uses the information obtained from the previous step to determine the zones with possible congestion, and redirects the vehicles that are about to cross them. Alternative routes are generated using the entropy-balanced k Shortest Path algorithm (EBkSP). The proposal uses information obtained in real time by a set of probe cars to detect non-recurrent congestion. The results obtained from simulations in various scenarios have shown that the proposal is capable of reducing the average travel time (ATT) by up to 19%, benefiting a maximum of 38% of the vehicles.

Download Full-text

Exposure to secondhand aerosol of electronic cigarettes in indoor settings in 12 European countries: data from the TackSHS survey

Tobacco Control ◽

10.1136/tobaccocontrol-2019-055376 ◽

2020 ◽

Vol 30 (1) ◽

pp. 49-56 ◽

Cited By ~ 2

Author(s):

Beladenta Amalia ◽

Xiaoqiu Liu ◽

Alessandra Lugo ◽

Marcela Fu ◽

Anna Odone ◽

...

Keyword(s):

Public Transportation ◽

Electronic Cigarettes ◽

Age Groups ◽

Cross Sectional Study ◽

European Countries ◽

Cross Sectional ◽

Individual Level ◽

Country Level ◽

Registration Number ◽

Private Transportation

IntroductionExposure to secondhand aerosol from e-cigarette (SHA) may pose harmful effects to bystanders. This study aims to investigate the prevalence, duration and determinants of SHA exposure in various indoor settings in 12 European countries.MethodsIn 2017–2018, we conducted a cross-sectional study, the TackSHS survey, on a representative sample of the population aged ≥15 years in 12 European countries (Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania and Spain). We described the prevalence and duration of exposure to SHA in several indoor settings among 11 604 e-cigarette non-users. Individual-level and country-level characteristics associated with SHA exposure were also explored using multilevel logistic regression analyses.ResultsOverall, 16.0% of e-cigarette non-users were exposed to SHA in any indoor setting at least weekly, ranging from 4.3% in Spain to 29.6% in England. The median duration of SHA exposure among those who were exposed was 43 min/day. ‘Other indoor settings’ (eg, bar and restaurant) was reported as the place where most of e-cigarette non-users were exposed (8.3%), followed by workplace/educational venues (6.4%), home (5.8%), public transportation (3.5%) and private transportation (2.7%). SHA exposure was more likely to occur in certain groups of non-users: men, younger age groups, those with higher level of education, e-cigarette past users, current smokers, those perceiving SHA harmless and living in countries with a higher e-cigarette use prevalence.ConclusionsWe found inequalities of SHA exposure across and within European countries. Governments should consider extending their tobacco smoke-free legislation to e-cigarettes to protect bystanders, particularly vulnerable populations such as young people.Trial registration numberNCT02928536.

Download Full-text

Social Reactions to the Climate Debate in Germany and Switzerland

Analyse & Kritik ◽

10.1515/auk-2010-0107 ◽

2010 ◽

Vol 32 (1) ◽

Cited By ~ 1

Author(s):

Axel Franzen ◽

Dominikus Vogl

Keyword(s):

Time Series ◽

Fuel Consumption ◽

Environmental Concern ◽

Environmental Issues ◽

Reduce Fuel Consumption ◽

Price Increases ◽

Private Transportation ◽

Mobility Behavior ◽

Time Series Analyses ◽

Per Capita

AbstractIn this contribution we take a look at the development of environmental concern and mobility behavior of the population in Germany and Switzerland. The proportion of survey participants who express concern about the state of the natural environment is high in both countries. However, this proportion did not increase during the last two decades despite the ongoing public debate about environmental issues. At the same time the demand for private transportation did increase in Germany by almost 20% (in Switzerland by 2.5%). However, fuel consumption per capita decreased in Germany by 6.5% and in Switzerland by 2.2%. Our time series analyses of these trends suggest that this reduction is due to the price increase of gasoline which was substantial in both countries and not due to any change in attitudes. We argue that further price increases are appropriate means to reduce fuel consumption. However, our analyses also show that the price elasticity for fuel is low.

Download Full-text