scholarly journals Gender Inequality in Safety and Security Perceptions in Railway Stations

2021 ◽  
Vol 13 (7) ◽  
pp. 4007
Author(s):  
Pierluigi Coppola ◽  
Fulvio Silvestri
Keyword(s):  
Gender Gap ◽  
Public Transport ◽  
Stated Preference ◽  
Revealed Preference ◽  
Behavioral Models ◽  
Mobility Patterns ◽  
Railway Stations ◽  
Commercial Activities ◽  
Transport Services ◽  
Disaggregate Data

Recent studies have shown that gender is the personal aspect that mostly affects mobility patterns and travel behaviors. It has been observed, for instance, that female perception of unsafety and insecurity when traveling using public transport forces them to make unwanted travel choices, such as avoiding traveling at certain times of day and to specific destinations. In order to improve the attractiveness of public transport services, this gender gap must not be overlooked. This paper aims at contributing to research in gendered mobility by investigating differences in safety and security perceptions in railway stations, and by identifying which policies could be effective in bridging any existing gap. The methodology includes the collection of disaggregate data through a mixed Revealed Preference/Stated Preference survey, and the estimation of fixed and random parameters behavioral models. Results from a medium-sized Italian railway station show that female travelers feel safer in the presence of other people; they prefer intermodal infrastructures close to the entrance of the station and commercial activities in the internal premises. Moreover, unlike male travelers, they do not appreciate the presence of hedges and greenery outside stations.

scholarly journals COVID-19 impacts on passenger rail transport in Hungary, Slovenia, Croatia, Serbia and Romania

2020 ◽  
Vol 23 (2) ◽  
pp. 7-13
Author(s):  
Vilmos Oszter
Keyword(s):  
Public Transport ◽  
The Novel ◽  
Mobility Patterns ◽  
East European ◽  
Passenger Rail ◽  
Transport Services ◽  
Emergency Transport ◽  
Huge Impact ◽  
Novel Coronavirus ◽  
National Governments

The spread of the novel Coronavirus (COVID-19) has urged to take special actions to limit the level of contagion. The unprecedented scale of measures declared by the national governments in nearly every country ot the world would have a huge impact on public transport services and in general, on the citizens travel behaviours. This paper endeavours to give an overview of the emerged epidemic situation caused by COVID-19 in Hungary and some of its neighbouring Central and South-East European countries. It identifies the most important public transport service changes together with their interrelated impacts on the mobility patterns. The responses vary country per country so an overall comparison shows novel findings on emergency transport management policies.

scholarly journals Dependence of the Future Elderly on Private Cars: A Case Study in Beijing

2018 ◽  
Vol 30 (1) ◽  
pp. 45-55
Author(s):  
Meiying Jian ◽  
Jing Shi ◽  
Yang Liu
Keyword(s):  
Public Transport ◽  
Stated Preference ◽  
The Elderly ◽  
Car Ownership ◽  
Aging Society ◽  
Transport Services ◽  
The Future ◽  
Mnl Model ◽  
Public Transport Services

With the aging of population in the world, understanding the travel demands of the elderly is important. In China, the aging society is in the process of forming. Meanwhile the urban motorization has just started. The aim of this paper is to investigate the dependence of the future elderly on private cars. The data used here come from a stated preference (SP) survey of the young and middle-aged residents in the capital of China, Beijing. The influencing factors on the car ownership and mode choices of the future elderly are analysed based on the ordered logit model and MNL model, respectively. The effect of uncertainty in respondents’ statements on the car usage has been also investigated. The results show that the future elderly in Beijing become increasingly dependent on private cars. It is also found that younger people have higher propensities to own private cars and to make use of driving after the age of 65. Moreover, improving public transport services contributes to an increased ridership of public transport by the future elderly. The findings in this paper can provide valuable references for the aging society when making transport policies in Beijing.

scholarly journals Random-Parameters Behavioral Models to Investigate Determinants of Perceived Safety in Railway Stations

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Pierluigi Coppola ◽  
Luigi dell’Olio ◽  
Fulvio Silvestri
Keyword(s):  
Travel Behavior ◽  
Stated Preference ◽  
Methodological Approach ◽  
Mixed Logit ◽  
Behavioral Models ◽  
Security Measures ◽  
Random Parameters ◽  
Railway Stations ◽  
Perceived Safety ◽  
Perception Of Safety

Recent studies have highlighted the existence of a gap between actual and perceived safety and have shown that feelings of insecurity can affect individuals’ travel behavior before and during the journey. In this paper, a methodology is proposed for assessing determinants of travelers’ perception of safety and security in railway stations. The methodological approach includes focus groups, stated preference (SP) surveys, and the estimation of behavioral models with fixed parameters (Binomial Logit) and random parameters (Mixed Logit). The estimation results for a medium-sized railway station (Frosinone, Italy) confirmed that safety and security measures are not equally perceived by individuals and the use of random-parameters models leads to more robust estimates. The proposed modeling approach allows the identification of the interventions that should be prioritized to increase travelers’ perceived levels of safety, highlighting those factors, such as, for the considered case study, the presence of security personnel and the level of decorum and maintenance, which are perceived by users as more important than others (e.g., surveillance cameras).

scholarly journals Investigating Potential Transit Ridership by Fusing Smartcard and Global System for Mobile Communications Data

2017 ◽  
Vol 2652 (1) ◽  
pp. 50-58 ◽  
Author(s):  
Karin de Regt ◽  
Oded Cats ◽  
Niels Van Oort ◽  
Hans van Lint
Keyword(s):  
Data Fusion ◽  
Mobile Communications ◽  
Public Transport ◽  
Travel Demand ◽  
Temporal Variations ◽  
Mobility Patterns ◽  
Spatial And Temporal Patterns ◽  
Global System ◽  
Transport Services ◽  
Potential Demand

The public transport industry faces challenges in catering to the variety of mobility patterns and corresponding needs and preferences of passengers. Travel habit surveys provide information on overall travel demand as well as its spatial variation. However, that information often does not include information on temporal variations. By applying data fusion to smartcard and Global System for Mobile Communications (GSM) data, researchers were able to examine spatial and temporal patterns of public transport usage versus overall travel demand. The analysis was performed by contrasting different spatial and temporal levels of smartcard and GSM data. The methodology was applied to a case study in Rotterdam, Netherlands, to analyze whether the current service span is adequate. The results suggested that there is potential demand for extending public transport service on both ends. In the early mornings, right before transit operations are resumed, an hourly increase in visitor occupancy of 33% to 88% was observed in several zones, showing potential demand for additional public transport services. The proposed data fusion method was shown to be valuable in supporting tactical transit planning and decision making and can easily be applied to other origin-destination transport data.

scholarly journals Exploring the Mode Change Behavior of Park-and-Ride Users

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Shahi Taphsir Islam ◽  
Zhiyuan Liu ◽  
Majid Sarvi ◽  
Ting Zhu
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Stated Preference ◽  
Multinomial Logistic Regression ◽  
Revealed Preference ◽  
Travel Mode ◽  
Mode Change ◽  
Factors Affecting ◽  
Park And Ride ◽  
Change Behavior

This paper investigates the mode change behavior of park-and-ride (P&R) users, which is of considerable significance to analyze the effectiveness of P&R site on the commuters’ travel mode change as well as the increase of public transport mode share. Data from an intercept interview survey conducted at different P&R facilities in Metropolitan Melbourne is used. A questionnaire containing revealed preference (RP) and stated preference (SP) questions is used to interview the individuals who park at the facility and catch public transport to go to city. This study firstly aims to know the factors affecting current travel behavior using RP data and secondly to investigate the importance of the factors on influencing the commuters’ decision of travel mode choice using the SP data. The empirical models using multinomial logistic regression reveal that travel time taken by transit vehicle and transfer time at P&R stations are the primary factors affecting individuals’ decision on choosing public transport whereas parking fare is the additional factor affecting commuters’ choice of driving. Based on the results of this study, the effectiveness of P&R scheme on commuters’ travel mode change is evaluated which would be helpful to shed lights on the future construction of P&R sites.

scholarly journals INTEGRATING NETWORK CONCEPT INTO MULTI CRITERIA ANALYSIS FOR SUGGESTING BUS RAPID TRANSIT ROUTES

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 309-317
Author(s):  
N. L. Jamalul Shamsudin ◽  
M. F. Abdul Khanan ◽  
H. A. Umar ◽  
S. N. Atan ◽  
A. H. M. Din
Keyword(s):  
Public Transport ◽  
Rural Areas ◽  
Traffic Congestion ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Road Transportation ◽  
Commercial Activities ◽  
Transport Services ◽  
Alternative Routes ◽  
The City

Abstract. Population explosion in the city of Johor Bahru has led to traffic congestions, which hitherto to that there were better movements and flow of vehicles in and around the city. Road transportation in particular has played a gargantuan role in creating and maintaining easy and quick access to various destinations. Increases in the number of vehicle indicate a higher economic prosperity that contributes to traffic congestion within the city. This can be seen in a number of developments such as increased population density and creation of alternative routes over several years, which has still not totally eradicated the traffic congestion problems of the city. Ideally, a good public transport service would carry the passenger directly from their origin to their destination without having to face traffic congestion. The buses may not be available and accessible from certain origins or destinations of residents or they may need to walk some distances from their residents to the bus stops resulting into discouragement for most of the people using public transport services. This paper aims to utilise geospatial analysis approach to suggest effective bus routing that would be able to increase connectivity to rural areas and boost commercial activities through better transportation. Route selection is the process of finding locations that meet the selection criteria for each parameter using Geographic Information System (GIS). The process employs applied multi-criteria decision analysis and network analysis to generate thpsye highest score areas for bus rapid transit (BRT) route by maximising network and mobility and ensuring the newly suggested routes are connected to the existing networks of BRT to serve the community.

THE DEVELOPMENT AND SYSTEMATIC STUDY OF THE PROGRAM OF MEASURES ON IMPROVEMENT OF ORGANIZATION OF TRANSPORT SERVICE OF THE POPULATION IN THE METROPOLIS

2020 ◽  
Vol 4 (26) ◽  
pp. 91-95
Author(s):  
D. A. Smirnov ◽  
Keyword(s):  
Transport System ◽  
Systematic Study ◽  
Public Transport ◽  
Road Network ◽  
System Development ◽  
Transport Service ◽  
Transport Services ◽  
The City

The article reveals the content of measures to improve the organization of transport services in the metropolis. The key directions of the city transport system development are considered. The analysis of the offered offers is carried out. Keywords: metropolis, transport development, public transport, street and road network.

scholarly journals Public Transport GPS Probe and Rail Gate Data for Assessing the Pattern of Human Mobility in the Bangkok Metropolitan Region, Thailand

2021 ◽  
Vol 13 (4) ◽  
pp. 2178
Author(s):  
Songkorn Siangsuebchart ◽  
Sarawut Ninsawat ◽  
Apichon Witayangkurn ◽  
Surachet Pravinvongvuth
Keyword(s):  
Performance Assessment ◽  
Public Transport ◽  
Human Mobility ◽  
Open Data ◽  
Capital City ◽  
Metropolitan Region ◽  
Traffic Information ◽  
Mobility Patterns ◽  
Transport Planning ◽  
Java Program

Bangkok, the capital city of Thailand, is one of the most developed and expansive cities. Due to the ongoing development and expansion of Bangkok, urbanization has continued to expand into adjacent provinces, creating the Bangkok Metropolitan Region (BMR). Continuous monitoring of human mobility in BMR aids in public transport planning and design, and efficient performance assessment. The purpose of this study is to design and develop a process to derive human mobility patterns from the real movement of people who use both fixed-route and non-fixed-route public transport modes, including taxis, vans, and electric rail. Taxi GPS open data were collected by the Intelligent Traffic Information Center Foundation (iTIC) from all GPS-equipped taxis of one operator in BMR. GPS probe data of all operating GPS-equipped vans were collected by the Ministry of Transport’s Department of Land Transport for daily speed and driving behavior monitoring. Finally, the ridership data of all electric rail lines were collected from smartcards by the Automated Fare Collection (AFC). None of the previous works on human mobility extraction from multi-sourced big data have used van data; therefore, it is a challenge to use this data with other sources in the study of human mobility. Each public transport mode has traveling characteristics unique to its passengers and, therefore, specific analytical tools. Firstly, the taxi trip extraction process was developed using Hadoop Hive to process a large quantity of data spanning a one-month period to derive the origin and destination (OD) of each trip. Secondly, for van data, a Java program was used to construct the ODs of van trips. Thirdly, another Java program was used to create the ODs of the electric rail lines. All OD locations of these three modes were aggregated into transportation analysis zones (TAZ). The major taxi trip destinations were found to be international airports and provincial bus terminals. The significant trip destinations of vans were provincial bus terminals in Bangkok, electric rail stations, and the industrial estates in other provinces of BMR. In contrast, electric rail destinations were electric rail line interchange stations, the central business district (CBD), and commercial office areas. Therefore, these significant destinations of taxis and vans should be considered in electric rail planning to reduce the air pollution from gasoline vehicles (taxis and vans). Using the designed procedures, the up-to-date dataset of public transport can be processed to derive a time series of human mobility as an input into continuous and sustainable public transport planning and performance assessment. Based on the results of the study, the procedures can benefit other cities in Thailand and other countries.

scholarly journals A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo

2021 ◽  
Vol 10 (5) ◽  
pp. 321
Author(s):  
Alessandro Emilio Capodici ◽  
Gabriele D’Orso ◽  
Marco Migliore
Keyword(s):  
High School ◽  
Public Transport ◽  
Choice Model ◽  
Rail Transport ◽  
Transport Systems ◽  
Sustainable Mobility ◽  
Transit System ◽  
Modal Choice ◽  
Transport Services ◽  
Multimodal Transport

Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bikes can be used as a feeder transit system, solving the problem of the first- and last-mile trips. Thanks to GIS (Geographic Information System) software, it is possible to evaluate the effectiveness of such a sustainable means of transport in future users’ modal choice. Methods: Running an accessibility analysis of cycling and rail transport services, the potential mobility demand attracted by these services and the possible multimodality between bicycle and rail transport systems can be assessed. Moreover, thanks to a modal choice model calibrated for high school students, it could be verified if students will be really motivated to adopt this solution for their home-to-school trips. Results: The GIS-based analysis showed that almost half of the active population in the study area might potentially abandon the use of their private car in favour of a bike and its combination with public transport systems; furthermore, the percentage of the students of one high school of Palermo, the Einstein High School, sharply increases from 1.5% up to 10.1%, thanks also to the combination with the rail transport service. Conclusions: The GIS-based methodology shows that multimodal transport can be an effective way to pursue a more sustainable mobility in cities and efficiently connect suburbs with low-frequent public transport services to the main public transport nodes.

scholarly journals The role of unpaid domestic work in explaining the gender gap in the (monetary) value of leisure

2021 ◽  
Author(s):  
Simona Jokubauskaitė ◽  
Reinhard Hössinger ◽  
Sergio Jara-Díaz ◽  
Stefanie Peer ◽  
Alyssa Schneebaum ◽  
...  
Keyword(s):  
Travel Time ◽  
Gender Gap ◽  
Time Use ◽  
Public Transport ◽  
Domestic Work ◽  
Online Data ◽  
Wage Rates ◽  
Novel Treatment ◽  
Unpaid Labor ◽  
Travel Time Savings

AbstractThe value of travel time savings (VTTS) representing the willingness to pay to reduce travel time, consists of two components: the value of liberating time [equal to the value of leisure (VoL)] and the value of time assigned to travel (VTAT), representing the travel conditions of a trip. Their relative values indicate which dimension to emphasize when investing in transport: speed or comfort. In this paper, we formulate and estimate a framework aimed at the improvement in the estimation of the VoL. By introducing a novel treatment of time assigned to domestic work, we consider that unpaid labor should be assigned a wage rate as a measure of the expenses avoided when assigning time to those chores. We use state-of-the-art data on time use and expenses as well as online data on gig workers collected in Austria, and apply the time-use and expenditure model of Jara-Diaz et al. (Transp Res Part B 42(10):946–957, 2008). The wage rates for paid and unpaid work were combined to re-formulate the budget constraint, which affected women more than men due to the higher involvement of the former in domestic activities. Compared against the original estimation, the VoL changed from €10/h for men and €6/h for women to €9/h for both genders, which in turn yields a larger average VTAT, which becomes positive for public transport. As a conclusion, the novel treatment of domestic labor contributes to closing the gap in the VoL between genders and highlights the power of unveiling the components behind the VTTS. The empirical findings imply that investments in travel time reductions rather than in comfort should be prioritized, given the very good conditions of public transport in Austria.

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