ДІДЖИТАЛІЗАЦІЯ ПІДПРИЄМНИЦТВА НА ТРАНСПОРТІ В УМОВАХ ПАНДЕМІЇ COVID-19

The article seeks to explore opportunities for further entrepreneurship development and its intensification in a pandemic setting, in the transport sector in particular, which is associated with the constant search for and implementation of new ideas, technologies, goods, services, manufacturing methods, etc. to retain a business. An emphasis is put that in modern realia as never before, the effective functioning of any company demands for continuous improvement, renewal, reorganization, finding new pathways to manage and run a successful business. It is noted that this approach is based on the latest concept that assumes significant changes in entrepreneurship in the transport industry and will foster further business development. In addition, the study reveals that the application of digital platforms is viewed as the newest tool that has the potential to boost the transport industry growth. However, despite objective reasons, there is still a lack of proper justification for the need to use digital technologies in transport. It is noted that the Industry Development Strategy 4.0 designed by the Ukrainian Association of Industrialists and Entrepreneurs interprets digital transformation as social or technological changes associated with the penetration of digital technology into all areas of human interactions. The essence of these transformations is to find new approaches and management concepts to resolve classic business challenges. The purpose of this article is to verify the feasibility of transport entrepreneurship based on digital platforms. The study provides insights into the benefits and specifics of digitalization in the context of Covid restrictions adjusted the needs of business acceleration. To attain the research objectives, the tools of information and marketing communications were used as well as the outcomes of marketing research to summarize information on the development of courier delivery and taxi services in Ukraine. Based on the analysis of entrepreneurship in the transport industry, the essential characteristics of digital platforms for taxi service have been discussed. It is argued that a customer focus makes the basis of any successful digital strategy. However, according to the study findings, transport companies need a single comprehensive perception of their customers to develop cooperation and offer a personalized approach to them. The summary concludes that digitalization is aimed at retaining the contact between the consumer and the producer to balance twofold interests: on the one hand, to the producer it will result in profit growth, and on the other – the consumer will be able to get the enhanced service quality, thus managing a close relationship between these two market actors, even in the quarantine realia.

Investigating the Spatiotemporal Imbalance of Accessibility to Demand Responsive Transit (DRT) Service for People with Disabilities: Explanatory Case Study in South Korea

This study analyzed the operation-related historical data of the call taxi service for disabled people in Seoul, South Korea. The study investigated how unevenly distributed the accessibility of disabled people to transportation is in terms of time and space. In addition, the reasons that cause imbalanced accessibility were investigated in areas with good and poor accessibility. Accessibility was defined as how quickly call taxi services for the disabled are available at specific times and locations. For the analysis, the log data for tracking the status of taxis in time and space were processed to calculate their availability, an index that reflects the dwelling time and the number of taxis available at a specific time and in a specific area. This index was divided into time and space and used as a surrogate measure to assess accessibility. The results showed that there were spatial and temporal accessibility imbalances in demand responsive transit (DRT) service. The insufficient supply during the night resulting from the current DRT operating schedule has reduced the accessibility of call taxis for the disabled, and the concentration of drivers’ breaks also affected the accessibility of service during the daytime. This suggests the need for (1) an increase in supply and (2) evenly distributed breaks for the drivers. In terms of space, the outer areas of Seoul generally were found to be more accessible than the central areas. In addition, areas near depots that serve as hubs and resting places for taxi drivers, areas with excellent medical infrastructures for people with disabilities, and areas with good traffic environments tended to have good accessibility; this suggests the need to reallocate garages and improve the traffic environments to improve accessibility.

Ways to Measure Loyalty of Service Users

The focus of this study was set on the empirical determination of the differences between the methods of measuring the loyalty of users of services. The research reviewed approaches to evaluating the loyalty of taxi service users in Ho Chi Minh (Vietnam), Moscow (Russia), and Novosibirsk (Russia). The goal implied the segmentation of service users depending on the patterns of conduct and giving advice on the development of loyalty programs. The novelty lies in grouping respondents by age and gender and determining the ways to measure their loyalty. The research findings imply that people under 30 tend to make a choice based on reviews of others. The study developed possible customer behavior models and options for actions depending on their satisfaction and loyalty. This matrix can be used for building a comprehensive strategy to increase the loyalty of their clients. Practical value of the study lies in the possibility of using the data obtained to model the behavior of consumers of different service types based on the proposed loyalty matrix.

Taxi Utilization Rate Maximization by Dynamic Demand Prediction: A Case Study in the City of Chicago

The explosive popularity of transportation network companies (TNCs) in the last decade has imposed dramatic disruptions on the taxi industry, but not all the impacts are beneficial. For instance, studies have shown taxi capacity utilization rate is lower than 50% in five major U.S. cities. With the availability of taxi data, this study finds the taxi utilization rate is around 40% in June 2019 (normal scenario) and 35% in June 2020 (COVID 19 scenario) in the city of Chicago, U.S. Powered by recent advances in the deep learning of capturing non-linear relationships and the availability of datasets, a real-time taxi trip optimization strategy with dynamic demand prediction was designed using long short-term memory (LSTM) architecture to maximize the taxi utilization rate. The algorithms are tested in both scenarios—normal time and COVID 19 time—and promising results have been shown by implementing the strategy, with around 19% improvement in mileage utilization rate in June 2019 and 74% in June 2020 compared with the baseline without any optimizations. Additionally, this study investigated the impacts of COVID 19 on the taxi service in Chicago.

Learning Markov Models Via Low-Rank Optimization

Taming high-dimensional Markov models In “Learning Markov models via low-rank optimization”, Z. Zhu, X. Li, M. Wang, and A. Zhang focus on learning a high-dimensional Markov model with low-dimensional latent structure from a single trajectory of states. To overcome the curse of high dimensions, the authors propose to equip the standard MLE (maximum-likelihood estimation) with either nuclear norm regularization or rank constraint. They show that both approaches can estimate the full transition matrix accurately using a trajectory of length that is merely proportional to the number of states. To solve the rank-constrained MLE, which is a nonconvex problem, the authors develop a new DC (difference) programming algorithm. Finally, they apply the proposed methods to analyze taxi trips on the Manhattan island and partition the island based on the destination preference of customers; this partition can help balance supply and demand of taxi service and optimize the allocation of traffic resources.

THE LEGAL LIABILITY OF ONLINE DRIVER FOR PASSENGERS ACCIDENT IN CONSUMER PROTECTION LAW

Online motorcycle taxis have become a favorite public transportation for some people because they are flexible in their activities, can reach places that are not passed by public transportation such as city transportation (public transport), buses, or other types of four-wheeled public transportation. One of the losses experienced by passengers or motorcycle taxi service users is the occurrence of accidents caused by the mistakes of motorcycle taxi drivers. Legal certainty to provide protection to consumers in the form of protection of consumer rights, so that business actors do not act arbitrarily which always harms consumers. The research method used is normative juridical. The results of this study are that most of the Indonesian online motorcycle taxi companies use motorbikes as their means of transportation and receive payment for the services provided, not in accordance with what is stipulated in UULAJ and Government Regulation Number 74 of 2014 concerning Road Transportation. In order to operate the transportation of people not on a route using a public motorized vehicle, the public transportation company is required to have a license to operate the transportation of people not on a route which must meet the requirements. Legal protection for online motorcycle taxi passengers when an accident occurs is divided into 2, namely preventive and repressive legal protection.

Comprehending the Pricing Decision of Online Car-Hailing Services in China: Price Regulation Vs Entry Limitation

Online car-hailing service has had an exponential growth in recent years, and poses a substantial threat to taxi service. Yet how to regulate online car-hailing service has not been adequately studied. Based on the regulation of tradition taxi service, price regulation and entry limitation are used to regulate online car-hailing service in this paper. Moreover, we consider two types of online car-hailing service, i.e., high-end service(e.g. UberBlack) and low-end service (e.g., UberX), according to the perceived service level. Then, the optimal platform’s price is formulated. The result shows that the price regulation are likely to increase the optimal platform price, depending on the service type and the taxi price. When the platform offers low-end service and the taxi price is low, the optimal platform price does not change. In contrast, the entry limitation reduces the optimal platform’s price when it achieves the regulation target.

Consumers’ Perception towards the Taxi Management in Kathmandu Valley: Awareness, Challenges, and Way-Forward

Taxi services are seen continuously growing throughout the globe. The service being able to cope with technological advancement has been benefitted to a greater extent. However, in Nepalese context taxi used in Kathmandu valley is still based on primitive technology and services still face several challenges. In this context, this research aims to examine consumers' perception of taxi management in Kathmandu valley. The study was carried out among 414 taxi users with the help of a structured questionnaire. The taxi users' awareness index is prepared to measure customers' awareness towards taxi management in Kathmandu valley. The data revealed that customers' awareness level regarding the taxi services in Kathmandu valley is moderate (43.5%) and still 21.8% of them are less aware. It is found that the majority (66.7%) have not faced any challenges while using taxi service and one-third (33.3%) have faced challenges - over price charge (93%), rude behaviors (89%), payment problem (64%), and communication problems are major ones. Such challenges are moderate and often occurred at night time and at office time. Respondents argued that taxi services can be managed by formulating proper rules and regulations by the government, online booking and payment systems, and the installation of GPS on taxis. These services would help to run the taxi service effectively in the valley.

Comparative Analysis of Spatial–Temporal Distribution between Traditional Taxi Service and Emerging Ride-Hailing

The paradigms of taxis and ride-hailing, the two major players in the personal mobility market, are compared systematically and empirically in a unified spatial–temporal context. Supported by real field data from Xiamen, China, this research proposes a three-fold analytical framework to compare their mobilities, including (1) the spatial distributions of departures and arrivals by rank–size and odds ratio analysis, (2) the statistical characteristics of trip distances by spatial statistics and considering distance-decay effect, and (3) the meta-patterns inherent in the mobility processes by nonnegative tensor factorization. Our findings suggest that taxis and ride-hailing services share similar spatial patterns in terms of travel demand, but taxi demand heterogenizes more quickly with changes in population density. Additionally, the relative balance between the taxi industry and ride-hailing services shows opposite trends inside and outside Xiamen Island. Although the trip distances have similar statistical properties, the spatial distribution of the median trip distances reflects different urban structures. The meta-patterns detected from the origin–destination-time system via tensor factorization suggest that taxi mobilities feature exclusive nighttime intensities, whereas ride-hailing exhibits more prominent morning peaks on weekdays. Although ride-hailing contributes significantly to cross–strait interactions during daytime, there is a lack of efficient services to maintain such interactions at night.