scholarly journals Access to the Rail Station as a Customer Value: Simulation of Passenger Flows in Rail Stations with Disinfection Gateway Installations

2020 ◽  
Vol 6 (4) ◽  
pp. 122 ◽  
Author(s):  
Roman Sidorchuk ◽  
Irina Skorobogatykh ◽  
Anastasia Lukina ◽  
Sergey Mkhitaryan ◽  
Anastasia Stukalova
Keyword(s):  
Public Space ◽  
Customer Value ◽  
Online Survey ◽  
Flow Simulation ◽  
Secondary Data ◽  
Passenger Flow ◽  
Transport Services ◽  
Passenger Flows ◽  
The Impact ◽  
Rail Station

This research applied secondary data collection methods to predict passenger flows, which involved analyzing traffic flows at rail stations and statistical methods, which involved assessing the relationship between variables and regression. Observation methods were used to measure current passenger flows at the rail station entrances. Passengers’ safety perception was assessed to understand the customer value of transport services. This assessment was based on an online survey, an analysis of official requests from passengers to the station directorates, and feedback from passengers and station visitors posted on the Internet. Traditional and content analysis methods were used to study passengers’ requests and feedbacks. It was substantiated that due to the COVID-19 pandemic, the concept of transportation security and the role of health safety as a customer value in passenger service have become more prominent. The possibility for passenger flow simulation to ensure people’s safe passage through a disinfection gateway is clearly shown. Public space management structures in transportation hubs can use the simulation results of this paper to solve the problem of passenger flow control along with installation of disinfection gateways at the station entrances for additional security. This is one of the few studies that explores the impact of using disinfection gateways to manage passenger flows in train stations.

scholarly journals Influence of Passenger Flow at the Station Entrances on Passenger Satisfaction Amid COVID-19

2020 ◽  
Vol 6 (4) ◽  
pp. 150 ◽  
Author(s):  
Roman Sidorchuk ◽  
Anastasia Lukina ◽  
Ilya Markin ◽  
Stanislav Korobkov ◽  
Natalia Ivashkova ◽  
...  
Keyword(s):  
Secondary Data ◽  
Railway Stations ◽  
Passenger Flow ◽  
Passenger Satisfaction ◽  
Perceived Satisfaction ◽  
Passenger Flows ◽  
Centers Of Mass ◽  
And Control ◽  
The Impact ◽  
The Relationship

Railway stations are centers of mass accumulation of people. Additional regulations change the intensity of the flow of visitors and the time of entering the station. Delays become an essential factor affecting the perceived satisfaction with all services at stations. This paper analyzes the impact of the intensity of passenger flow in the key areas of the station (entrance groups) on the satisfaction of visitors with station functioning (by the example of Moscow railway stations). The authors of the paper used methods of observation to measure the current passenger flows at the entrances to the station and also collected secondary data on transport flows at city railway stations. To predict passenger flow, the authors used statistical methods to assess the relationship between variables and regression. The paper used a survey of passengers to analyze satisfaction with the functioning of railway station facilities and assess the acceptable delay time at the entrance/exit to the station. The article substantiates that in the context of current requirements for transport security, an important factor for perceived satisfaction with station services is the forecasting and management of passenger flows and control of time of entering the station.

scholarly journals Management of Competitiveness of Metropolis Public Transport in the COVID-19 Pandemic Based on Core Consumers’ Values

2020 ◽  
Vol 6 (4) ◽  
pp. 192
Author(s):  
Galina Timokhina ◽  
Natalia Ivashkova ◽  
Irina Skorobogatykh ◽  
Taira Murtuzalieva ◽  
Zhanna Musatova
Keyword(s):  
Public Transport ◽  
Large Scale ◽  
Online Survey ◽  
Research Question ◽  
Secondary Data ◽  
Individual Values ◽  
Personal Mobility ◽  
Transport Services ◽  
The Impact ◽  
Public Transport Services

The aim of the paper focuses on generating insights into the competitiveness of public transport in Moscow City in relation to the use of personal cars, considering individual basic consumer values and environmental factors, including the impact of the COVID-19 pandemic. The research question in this study is: how can we assess the main indicators of public transport’s competitiveness, which can motivate personal car owners with specific basic values to change the transportation mode for personal mobility? This conceptual research model combines the content analysis of publications and large-scale online survey of Moscow City’s car owners—potential consumers of public transport services—on a representative quota sample of 1263 respondents. The methodology includes the axiological approach for the identification of the main factors of consumer behavior of personal car owners in the city with combinations of the modified Schwartz’s methodology of the basic individual values evaluations. Secondary data manifested the changes in the behavior of car owners due to the fact that they value metropolitan environmental degradation and changed their transportation preferences to public transport even during the COVID-19 pandemic. Based on the factor and cluster analysis of the value profile of the individuals, seven clusters of car owners were identified, and two large clusters were selected as target segments for public transport services. The conclusion was made that it is necessary to differentiate social and marketing programs to promote the competitiveness of public transport in the minds of consumers.

scholarly journals Perceived impact of meteorological conditions on the use of public space in winter settlements

2020 ◽  
Vol 64 (4) ◽  
pp. 631-642
Author(s):  
Agneta Larsson ◽  
David Chapman
Keyword(s):  
Public Space ◽  
Online Survey ◽  
Ground Surface ◽  
Weather Conditions ◽  
Public Spaces ◽  
Meteorological Conditions ◽  
Ambient Conditions ◽  
Cross Sectional ◽  
Survey Responses ◽  
The Impact

AbstractThis study aimed to assess the impact of meteorological conditions on the use of public space in Scandinavia and Canada. Between September 21 and December 18, 2017, a cross-sectional online survey ‘EAMQ-Climate: space’ was distributed via web-based platforms. Survey responses were received from 361 residents (258 people from Scandinavia and 103 from Canada). The relative impact of the meteorological determinants on the use of public space was calculated, and a factor analysis was performed. Disparities between Canada and Scandinavia as well as between the climate zones represented were analysed using ANOVA. Overall results showed that the most significant meteorological enablers for the use of outdoor public spaces in winter were solar gain, snowfall and snow-covered surfaces. The main barriers were slush-covered and icy surfaces, rainfall and darkness. Wind and cold were conditions with less influence. The impact of rain and ice, however, differed between climatic zones. It was also established that, when addressing the meteorological impact on avoiding the use of public spaces in winter, it is vital to discriminate between conditions related to a) the ground surface and b) ambient conditions, as well as the particular significance of c) snow and sun, and d) darkness. For the design of public space in winter cities, we conclude that designers need to focus on a wider range of weather conditions than sun, wind and cold, and include snow, rainfall, slushy and icy ground and poor visibility. The study suggests that winter public space has a higher climatic design requirement to be successful than streets and pathways that are mainly used for soft mobility.

scholarly journals Wellbeing during the COVID-19 pandemic in the UK: a secondary data analysis

2021 ◽  
Author(s):  
Jen Murphy ◽  
Mark Elliot
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
National Level ◽  
Secondary Data ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
The Uk ◽  
Survey Responses ◽  
The Impact

Introduction: In March 2020 in response to the COVID pandemic the UK government declared a national lockdown where citizens were required to stay at home. The impact of this lockdown on levels of well-being has been a source of concern for citizens and mental health professionals.Objectives: We investigated the trajectory of well-being over the course of the ?first wave and sought to determine whether the change in well-being is distributed equally across the population. Speci?fically we investigated pre-existing medical conditions, social isolation, ?financial stress and deprivation as a predictor for well-being and whether there were community level characteristics which protect against poorer well-being.Methods: Using online survey responses from the COVID19 modules of Understanding society, we linked 8,379 English cases across ?five waves of data collection to location based deprivation statistics. We used ordinary least squares regression to estimate the association between deprivation, pre-existing conditions and socio-demographic factors and the change in well-being scores over time, as measured by the GHQ-12 questionnaire.Results: A decline in well-being was observed at the beginning of the fi?rst lock down period at the beginning of March 2020. This was matched with a corresponding recovery between April and July as restrictions were gradually lifted. There was no association between the decline and deprivation, nor between deprivation and recovery. The strongest predictor of well-being during the lockdown, was the baseline score, with the counterintuitive finding that for those will pre-existing poor well-being, the impact of pandemic restrictions on mental health were minimal, but for those who had previously felt well, the restrictions and the impact of the pandemic on well-being were much greater.Conclusion: These data show no evidence of a social gradient in well-being related to the pandemic. In fact, wellbeing was shown to be highly elastic in this period indicating a national level of resilience which cut across the usually observed health inequalities.

scholarly journals Sharing Economy: A Study on the Factors Influencing Users' Motivation to Use Ride Sharing Platforms

2019 ◽  
Vol 14 (1) ◽  
pp. 65
Author(s):  
Rosdiana Sijabat
Keyword(s):  
Online Survey ◽  
Secondary Data ◽  
Sharing Economy ◽  
Positive Influence ◽  
Primary Data ◽  
Technological Factors ◽  
Ride Sharing ◽  
Social Environmental ◽  
The Impact ◽  
The Empirical Analysis

<p>This research is intended to explore sharing economy, particularly ride sharing. The study aims to identify the impact of four factors—economic, social, environmental, and technological—on individuals' motivation and decision to use three ride sharing platforms: UBER, GRAB and Go-JEK in Indonesia. Based on available literature, four research hypotheses are tested, namely that (1) economic factors; (2) social factors;(3)  environmental factors; and (4) technological factors have positive influence on individuals' motivation and decision to use ride sharing services. Primary and secondary data are used to answer the research questions. Primary data were obtained through an online survey of 355 respondents, while secondary data were obtained from various related literatures. The research is both descriptive and quantitative in nature, the empirical analysis suggest that economic, social, environmental, and technological factors are positively associated with users' decision to use ride sharing.</p><p><em><strong>Bahasa Indonesia</strong> <em><strong>Abstrak: </strong></em>Penelitian ini bertujuan untuk mengeksplorasi konsep sharing economy, khususnya ride sharing. Secara khusus, studi ini bertujuan untuk mengidentifikasi pengaruh dari empat factor, yaitu faktor ekonomi, sosial, lingkungan, dan teknologi terhadap motivasi dan keputusan individu untuk menggunakan tiga platform perjalanan bersama: UBER, GRAB, dan Go-JEK di Indonesia. Berdasarkan literatur yang tersedia, empat hipotesis penelitian diuji, yaitu bahwa (1) faktor ekonomi; (2) faktor sosial; (3) faktor lingkungan; dan (4) faktor teknologi memiliki pengaruh positif terhadap motivasi dan keputusan individu untuk menggunakan layanan ride sharing. Data primer dan sekunder digunakan untuk menjawab pertanyaan penelitian. Data primer diperoleh melalui survei online terhadap 355 responden, sedangkan data sekunder diperoleh dari berbagai literatur terkait. Penelitian ini bersifat deskriptif dan kuantitatif, analisis empiris menunjukkan bahwa faktor ekonomi, sosial, lingkungan, dan teknologi secara positif terkait dengan keputusan pengguna untuk menggunakan berbagi perjalanan.</em></p>

scholarly journals The Impact of Geo-Spatial Distribution of Markets on Household Travel Patterns in Akure Metropolis, Nigeria

2021 ◽  
Vol 5 (2) ◽  
pp. 45
Author(s):  
Musilimu Adeyinka Adetunji
Keyword(s):  
Spatial Distribution ◽  
Traffic Congestion ◽  
Secondary Data ◽  
Travel Patterns ◽  
Transport Services ◽  
Geographical Position ◽  
Household Travel ◽  
Distance Travel ◽  
The Impact ◽  
Structured Questionnaire

This study examines the spatial distribution of markets and its impact on household travel patterns in Akure, Nigeria. Both primary and secondary data were utilized for the research. The coordinates of locations of markets were obtained using a hand held Geographical Position System (GPS) and determined by measured using the ‘Ruler’ menu of ArcGIS 10.3.1 software. A structured questionnaire was designed to elicit information on household travel patterns. Using descriptive and inferential statistics, the findings reveal that market is randomly distributed. A linear association exits between distance travel to market and household mode choice of transportation and it is significant at 0.05%. Inadequate transport services and traffic congestion are problems faced by households in Akure on their trips to markets. The study concludes that more periodic or daily markets should be provided in some localities that do not have in Akure and similar other cities in Nigeria.

scholarly journals Research on Passenger Flow Early Warning of Urban Rail Transit Station Based on System Dynamics

2020 ◽  
Vol 308 ◽  
pp. 01003
Author(s):  
Hui Chen ◽  
Bo Wang ◽  
Wei He ◽  
Jianhu Zheng
Keyword(s):  
System Dynamics ◽  
Early Warning ◽  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail ◽  
Passenger Flows ◽  
Transit Station ◽  
The Impact

Large-scale passenger flows occur frequently during the peak hours of urban rail transit stations and on holidays. Thus, the timely and accurate early warning of impending large-scale passenger flows can positively impact the operational safety of the entire station. By further deepening the definition of passenger flow warnings in stations, a new model of urban rail transit station passenger flow based on system dynamics is constructed. The method of determining the key area of passenger flows in the early warning stage based on streamlines is proposed; the key indicators and thresholds affecting early warnings are studied. Finally, taking a typical station as an example, a station model is built using Anylogic software. The parameter sensitivity analysis is used to determine the impact of each key indicator on the passenger flow in the key area of the station early warning, and the reference threshold of each indicator is determined.

scholarly journals What KPIs Are Key? Evaluating Performance Metrics for Social Media Influencers

2019 ◽  
Vol 5 (3) ◽  
pp. 205630511986547 ◽  
Author(s):  
Jan-Frederik Gräve
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Performance Metrics ◽  
Secondary Data ◽  
Media Communication ◽  
Trade Off ◽  
Quantitative Metrics ◽  
Multiple Metrics ◽  
Social Media Communication ◽  
The Impact

Measuring the impact of social media communication is a prominent and pertinent challenge; the commercialization of social media influencers (SMIs) in the form of so-called influencer marketing makes this effort even more complicated. Companies that embrace influencer marketing have limited control over content and context, so they must evaluate both the SMIs and the content they post, prior to and during their collaborations. Although quantitative success metrics (e.g., number of followers, number of likes) are readily available, it remains unclear whether such metrics offer appropriate proxies for evaluating an SMIs or the outcomes of an influencer marketing campaign. By combining secondary data on influencer marketing campaigns from Instagram with an online survey among marketers, this study finds that professionals generally rely on an SMI’s reach and number of interactions as success metrics. When they must trade off across multiple metrics, these professionals predominantly rely on comment sentiment, indicating their implicit awareness that the commonly used metrics are inadequate. A regression analysis affirms that only the sentiment measure correlates positively with professional content evaluations, so this study both challenges the use of common quantitative metrics to evaluate SMI content and emphasizes the relevance of content-based metrics.

scholarly journals Choice and Transformation of Public Space in Toronto: a Case Study of Tamil Protests 2009

2021 ◽  
Author(s):  
Saraniya Satgunam
Keyword(s):  
Public Space ◽  
Media Coverage ◽  
Secondary Data ◽  
Sri Lankan ◽  
Transnational Politics ◽  
Secondary Data Sources ◽  
Political Demonstrations ◽  
The Impact ◽  
The City

The 2009 Tamil demonstrations in Toronto challenged the preconceptions of public space and the legitimacy of transnational politics within a ‘multicultural’ city. This paper explores the impact these demonstrations had on Toronto’s ‘public spaces’, especially how they were able to transform the city. An analysis of secondary data sources, including, media coverage and participant-observations reveal that even though the political demonstrations organised by the Sri Lankan Tamil-Canadians were ‘tolerated’, they were not necessarily ‘accepted’ by many Torontonians. This observation raises numerous interrelated questions, particularly related to the rights of immigrants and refugee groups to the city.

scholarly journals The effect of Facebook users’ satisfaction and trust on stickiness: The role of perceived values

2021 ◽  
pp. 245-256 ◽  
Author(s):  
Mahmoud Maqableh ◽  
Mohammad Abuhashesh ◽  
Laila Dahabiyeh ◽  
Mohammad K. Al Nawayseh ◽  
Ra'ed Masa'deh
Keyword(s):  
Customer Value ◽  
Online Survey ◽  
Sem Analysis ◽  
Social Value ◽  
Quantitative Methodology ◽  
Hedonic Value ◽  
Perceived Values ◽  
Emotional Value ◽  
The Impact

This study aims to explore the impact of satisfaction and trust on stickiness to Facebook. Also, it proposed that hedonic value, emotional value, and social value act as critical antecedents to Facebook stickiness. A quantitative methodology is used to examine the research questions. The research model was tested with data from 511 university students and five academic professors using an online survey. The proposed hypotheses were tested using regression analysis. Furthermore, Data were collected from targeted participants with Facebook experience, among the 511 participants, 353 were females (69.1%), and 158 were males (30.9%). The SEM analysis showed that satisfaction positively and significantly did affect stickiness, where trust did not. Also, results showed while hedonic value affected satisfaction, it did not impact trust. Hence, the results confirmed that hedonic value served as important value concerns for Facebook users. Nevertheless, the study found that both emotional value and social value impacted satisfaction and trust. The current research has enriched the existing study in the fields of customers’ satisfaction and trust on stickiness to Facebook. Moreover, this research is one of the earliest studies that proved that customer value creation serves as an important driving factor for customer satisfaction to generate stickiness to SNS. This study’s results help policymakers and designers of SNS to understand what value factors affect users’ stickiness to Facebook. Their marketing plans and decisions can be accordingly adjusted. This study suggests that marketers need to pay full attention to social value by adding more interactive features such as comments, likes, and shares in order to build social image and increase one’s social influence.

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