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PurposeThis techno-centric and too much busy day-to-day living style of citizens pressurizes the implementation of E-ticketing service to adapt with change. Thus, this study aims to examine the factors influencing railway passengers’ E-ticketing service acceptance and usage intention in Bangladesh and to extend the widely used Technology Acceptance Model through inserting two new constructs.Design/methodology/approachThis paper employs structural equation modeling to test model’s paths developed through theoretical research framework. Moreover, a structured questionnaire was administered at different railway stations in northern and western parts of Bangladesh to collect data. Total of 302 responses were considered for statistical analysis to test hypotheses after considering anomalies and outliers in raw data.FindingsThe study results show that technology trust (TT) has the strongest impact on passengers’ E-ticketing usage intention rather than perceived ease of use and perceived usefulness (PU). Meanwhile, the easiness of using technology to reserve tickets does matter to female passengers rather than male passengers wherein PU and TT do not do that.Originality/valueThe findings of this study might be helpful for the railway authorities to improve the ticket reservation service quality online by developing the advanced booking application and minimizing the pressure on other transportation. Therefore, this empirical study will contribute to this domain for further study that ensures full satisfaction of passengers and uplift the railway passengers’ usage intention for E-ticketing which then helps the government to implement the digitization slogan with efficiency and effectiveness.

[...]it has been estimated that bots make up a whopping 40% or so of all activity taking place on primary ticketing platforms.8 Likewise, they assuredly make up nearly all of the activity taking place on the secondary ticketing platforms. More vexing to fans was secondary ticket sites almost immediately inundated with the tickets they sought priced at gallingly high figures (some listed for a dizzying $30k).9 Though the stratospheric heights of such resale prices are uniquely off the charts as a result of Swift's singularly rabid fan base, they nonetheless help lay bare the ubiquitous price gouging that occurs for nearly every sought-after concert. [...]it is estimated that the global secondary ticket market will reach nearly $15bn dollars by 2025, most of which stands to be pocketed by scalpers.10 Tellingly, consumers aren't the only ones fed up with obscenely high secondary market ticket prices. Earlier this year, for instance, Bruce Springsteen explained that a portion of tickets to his highly anticipated 2023 U.S. tour hit the primary market at shockingly high prices (upwards of $5k per ticket in some cases), as \"...[t]he ticket broker or someone is going to be taking that money,\" and Springsteen thus contending, \"...why shouldn't that money go to the guys that are going to be up there sweating three hours a night for it?\".11 Springsteen further expounded that his team were compelled to greenlight the exorbitant ticket prices as a result of \"...ticket buying [getting] very confusing, not just for the fans, but for the artists also...Those tickets...are going to go for that [higher] price somewhere anyway\".12 Whereas Springsteen doesn't exactly require sympathy, espousing these views shortly after his music catalog was purchased for a figure north of $500mm,13 the point he makes certainly has merit.

Tourist congestion at hot spots has been a major management concern for UNESCO World Heritage Sites and other iconic protected areas. A growing number of heritage sites employ technologies, such as cameras and electronic ticket-checking systems, to monitor user levels, but data collected by these monitoring technologies are often under-utilized. In this study, we illustrated how to integrate data from hot spots by camera-captured monitoring and entrance counts to manage use levels at a World Heritage Site in Southeastern China. 6,930 photos of a congestion hotspot (scenic outlook on a trail) were collected within the park at a 10-minute interval over 105 days from January to November 2017. The entrance counts were used to predict daily average and maximum use level at the hotspots. Results showed that the average use level at the congestion hotspot did not exceed the use limit mandated by the park administration agency. However, from 9:20 am to 12:00 pm, the use level at hotspots exceeded visitor preferred use level. Visitor use level was significantly higher at the hotspot during a major Chinese \"Golden Week\". The daily entrance counts significantly predicted the average and maximum use level at the hotspot. Based on our findings, park managers can achieve the management goals by permitting the corresponding number of visitors passing the entrances. The gap manifested the complexities in visitor capacity management at high-use World Heritage Sites and other protected areas and calls for innovative monitoring and management strategies.

Spatiotemporal analysis of passenger mobility patterns provides valuable information regarding the travel behaviour of passengers at different spatial and temporal scales. However, in the spatiotemporal analysis of passenger mobility patterns, a few questions are yet to be answered: how does passenger travel behaviour change during different seasons? In developing countries like India where land use distribution is complex, do travel characteristics have a relationship with spatial regions of different land use? And what is the influence of people from nearby sub-urban and villages on the passenger mobility of urban areas if transit service is provided? Hence, this study developed a methodology to visualise and analyse spatiotemporal variations in the bus passenger travel behaviour among different spatial regions at hourly, daily, and monthly temporal resolutions using non-negative tensor decomposition (NTD). Six-month electronic ticketing machine (ETM) data of the Davangere city bus service is collected. Land use data is also collected from the urban development authority of Davangere city. NTD was found efficient in extracting spatiotemporal patterns. From the analysis, it is observed that passenger mobility patterns across different spatial regions varied during different seasons and within a season as well. Pertaining to spatial variations, passenger origins and destinations are aggregated with respect to spatial regions with uniform land use or similar travel characteristics without giving any geographical inputs. Also, the mobility pattern of sub-urban and village people varied unconventionally. Thus, developed research methodology has the potential of unveiling the spatiotemporal variations in passenger mobility, which can act as a base for designing transit facilities and framing policies.

This article examines a specific aspect of e-payment: e-ticketing in public transport. The reference area is the campus of the aristotle University of Thessaloniki, which is the largest university in greece with more than 73,000 students. The target group was the students of the university campus. The methodology used included a stated preference survey which took place in may 2015. During the survey 300 questionnaires were collected and analysed using descriptive and inferential statistics. In addition, a binary logistics model was developed, analysing the intention of the students to use the e-ticketing system, which is under examination for the city of Thessaloniki. From the analysis, it was found that more than 86.7% of the students would be willing to use e-ticketing in public transport. They consider time saving as the most important reason for someone to use e-ticketing. An interesting finding is that 64.2% of the students would like to use their smart cards or cell phones not just for e-ticketing but also for other applications. The binary logistics model has pointed out that age, gender, car availability and familiarity with e-booking are statistically important factors for the students’ intention to use the e-ticketing system.

Considering the increased complexity in the competitive landscape, innovation is the keyword of the post-industrial era, and in order to be attained by the enterprises, it requires new strategies, capabilities and competencies. Considering this scenario this study included analysis of improvements achieved with the implementation of the e-ticketing system in a case of public transport in major cities of southern Brazil categorized as cases β and γ. Furthermore, it aimed to ascertain whether the improvements in information management provided by electronic ticketing qualify it as an innovation. The research was based on the theoretical model of innovation described in Tables 1, 2, 3, 4 in order to guide the research activities described. Qualitative data was collected through interviews and document analysis. The collected information was analyzed using content analysis and the amount of vehicles and passengers in the cities covered by the survey were used as secondary data. The characteristic effects of innovation were found to be in line with the results of e-ticketing in the cases analyzed, making this system a way to attain innovation. In accordance with the guidelines set for this study, it is worth emphasizing that the impacts of the e-ticketing system were considered innovative, not the system itself, because electronic billing was a means to achieve innovation and not an innovation per se.

With the advent of the internet and e - commerce, there has been a paradigm shift in the marketing and selling of product and services in the hospitality and tourism industry. The internet is changing the way a corporation conducts business with their consumers who have become very demanding and expects high level of services; they are time conscious, and demanding more convenience in buying those products and services. According to the surveys carried out by many companies e- service quality is an essential part to achieve success in the business. The objective of this study is to examine whether promotion, service quality, customer experiences have affected the customer satisfaction in purchasing the e tickets in India. The study result shows that promotion, service quality, customer experiences has significantly affected customer satisfaction in a purchasing pattern and decision making while purchasing online tickets and it was found that sales promotion has significantly influenced the customer satisfaction than the others determinants.