Analysing the impact of taxi violence on commuters in South Africa

Taxi violence in South Africa was the tool that the apartheid regime used to pursue their interest by dividing the people so that they could acquire what they needed (Sekhonyane and Dugard, 2004:15). Taxi violence is one of the most burning issues faced by Department of Transport, Police, commuters and taxi industry in South Africa. This industry plays a vital role in commuting people to and from work or different destinations, and in most cases it is caught in the wrong doing in terms of fighting for routes where many innocent lives are lost due to infighting. The inability by government to regulate taxi industry is a serious problem for taxi operators, taxi associations, commuters and society. The deregulation of taxi industry brought many problems such as conflict, violence and mafia type assassinations in South Africa. This article focus on preventive measures to curb taxi violence in South Africa. This article utilised qualitative, case study based approach and the approach is supported by analysis of primary and secondary sources. The article further draws on the findings from the world on taxi violence and formulate steps to counteract taxi violence in South Africa. The research based key steps leading to the prevention of taxi violence in South Africa. The first process related to regulation of taxi industry, awareness campaigns on taxi operations, the control of routes and multidisciplinary investigation team should be established to overcome taxi violence in South Africa.

A Tailspin for Taxi Drivers: Platform Labor, Deregulations, and a Migrant Occupation

In this article, we investigate Norwegian taxi drivers’ perceptions and experiences of the introduction of Transportation Network Companies (TNCs) such as Uber. We find that taxi drivers are highly critical, but not over technology or TNCs as such. Their critique is directed at government deregulations of the taxi industry, which paved the way for TNC re-entry. Our findings suggest that, if we are to understand how the platform economy changes work-life and its social consequences, we need to comprehend (1) current digital change in its political context, which in our case pertains notably to deregulations. Equally important (2) is that consequences and struggles are seen in light of the history and social trajectory of the specific occupations affected; a central factor in our case being that the taxi industry has become a typical migrant occupation. Our paper contributes to a more comprehensive picture of structural changes in the digital work-life.

Driver Perceptions on Taxi-sharing and Dynamic Pricing in Taxi Services: Evidence from Athens, Greece.

The taxi industry has changed dramatically during the last decade, as ride-sourcing applications, ride-sharing and alternative pricing schemes have emerged, either as complementing or competitive services and strategies. After some years of familiarity with such trends, it is interesting to explore where the taxi industry stands with respect to possible service innovations. This paper explores behavioral patterns of drivers, focusing on issues such as their preferred way of conducting business, and their views on introducing taxi-sharing and dynamic pricing. Data collected from a face-to-face questionnaire survey in Athens, Greece are exploited, and appropriate econometric models are developed for the purposes of the study. The analysis shows that young and/or educated drivers, as well as those who are familiar with new technologies are more willing to accept innovations in taxi services. Results from a stated choice experiment show that on average 3.5 euros is the extra charge that the taxi market would accept to offer a taxi-sharing service. However, results reveal that the value of taxi-sharing varies across different groups of drivers. Overall, findings indicate that in the years to come, competition by other services, (e.g. ridesharing) will force the taxi industry to adopt new models of operation and pricing.

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.

The Social and Economic Impacts of E-hailing Application in Malaysia: A Review

E-hailing is a service that allows users to book a journey online and provides a platform for users to interact with E-hailing companies. E-hailing service in Malaysia was launched in January 2018. Growing population and rising migration from rural to urban areas have put a strain on quality of life for Malaysia's population. The service is available in Malaysia. It has so far had success. E-hailing services have become more popular than traditional taxis for a variety of reasons. Customers are likely to seek out these providers' services as long as they pay close attention to their needs, solicit feedback often, and improve the quality of the services they give. Mobile applications developed by e-hailing businesses have had a significant influence on the taxi industry and public transportation in the last few years. Experts examined the impact of e-Hailing services on consumers, drivers and the public economy. Economics service created a lot of work prospects for drivers. Taxi industry struggling to keep up with E-Hailing system which put it under threat, as it cuts in taxi industry's profits. All e-hailing drivers must now obtain Public Service Vehicle (PSV) permits, but they complained that the regulations were too strict. Many of these driver-partners used E-hailing as a method to earn supplemental money in addition to driving. In the next several years, the way people move around in cities is anticipated to alter drastically. The conventional marketplace is being replaced by the online transaction as a method of conducting business. E-hailing in Malaysia today, as an alternative to private and public transportation, may be summed up by pointing out its increasing use.

The Automation of the Taxi Industry – Taxi Drivers’ Expectations and Attitudes Towards the Future of their Work

Advocates of autonomous driving predict that the occupation of taxi driver could be made obsolete by shared autonomous vehicles (SAV) in the long term. Conducting interviews with German taxi drivers, we investigate how they perceive the changes caused by advancing automation for the future of their business. Our study contributes insights into how the work of taxi drivers could change given the advent of autonomous driving: While the task of driving could be taken over by SAVs for standard trips, taxi drivers are certain that other areas of their work such as providing supplementary services and assistance to passengers would constitute a limit to such forms of automation, but probably involving a shifting role for the taxi drivers, one which focuses on the sociality of the work. Our findings illustrate how taxi drivers see the future of their work, suggesting design implications for tools that take various forms of assistance into account, and demonstrating how important it is to consider taxi drivers in the co-design of future taxis and SAV services.

Exploring the impact of COVID-19 on the taxi industry in the City of Johannesburg

The tourism sector is currently one of the hardest hit by the pandemic, with impacts on both travel supply and demand. The transport system forms a key part of tourism, including the tourist experience at a destination. This research sought to understand how the taxi industry operates within the City of Johannesburg under the government restrictions imposed during COVID-19. The study adopted a qualitative research approach, based on interpretative phenomenological analysis (IPA) to explore the topic. Semi-structured individual interviews were conducted with participants who were purposively selected from the Johannesburg CBD taxi rank. Insufficient sanitisation and the breaching of curfews were observed. Limited guidance was provided during the initial stages of the pandemic, with no formal training. Financial support was made available, but drivers did not receive funds, as they did not comply with the requirements for membership of the Unemployment Insurance Fund (UIF) and Temporary Employee Relief Scheme (TERS) (Melzer, 2020). Illegal full-capacity loading and price increases were also evident. All participants seem to have expressed some form of anxiety, loneliness and uncertainty. Few suggestions were proposed towards sustainable practices and innovative technological means to support the industry during the lockdown and going forward.

Drivers learn city-scale dynamic equilibrium

Understanding driver behavior in on-demand mobility services is crucial for designing efficient and sustainable transport models. Drivers' delivery strategy is well understood, but their search strategy and learning process still lack an empirically validated model. Here we provide a game-theoretic model of driver search strategy and learning dynamics, interpret the collective outcome in a thermodynamic framework, and verify its various implications empirically. We capture driver search strategies in a multi-market oligopoly model, which has a unique Nash equilibrium and is globally asymptotically stable. The equilibrium can therefore be obtained via heuristic learning rules where drivers pursue the incentive gradient or simply imitate others. To help understand city-scale phenomena, we offer a macroscopic view with the laws of thermodynamics. With 870 million trips of over 50k drivers in New York City, we show that the equilibrium well explains the spatiotemporal patterns of driver search behavior, and estimate an empirical constitutive relation. We find that new drivers learn the equilibrium within a year, and those who stay longer learn better. The collective response to new competition is also as predicted. Among empirical studies of driver strategy in on-demand services, our work examines the longest period, the most trips, and is the largest for taxi industry.