Taxi Users Research Articles

The Design & Implementation of CRM-Taxi Online in Indonesia

Lifestyle shifting is directly proportional to advances in information technology. These developments cannot be prevented or stopped, so everyone must keep up with the changes. System changes occur including in transportation. There are three big online taxis, namely: GoJek, Grab, and Uber, Maxim. TheirIts problems exist in regulation, drivers, consumers, and human resource development. Furthermore, the main tThings that need attention are the comfort and income of the community. This paper will describe how to solve problems between government, society, and online taxi entrepreneurs. The research approach used is development. Researchers are trying to find information to implement the program created. We have a solution framework that is thought of and constitutes an innovative idea based on two directions. CRM is proposed as a system used to help online taxi users avoid inconvenience problems. All parties must follow this change because society may not survive in the face of globalization if everyone does not want changes that are more effective and efficient changes. Changes were made to improve people's lives. Furthermore, as the main person in charge, the applicator must have a sophisticated system in developing human resources, especially the drivers they have. Keywords: online taxi, innovations, human resource, systems, aplicator

SATISFACTION AND DISSATISFACTION ON UBER AND TAXI SERVICES

Identify and measure what are the most relevant variables that can impact the level of (dis)satisfaction on users of the service transportation of Taxi and Uber in the city of Rio de Janeiro – Brazil. The method used was the discriminant analysis. The three most relevant variables in the discriminant function related to the dissatisfaction on Taxi's users in this sample were (i) travel prices, (ii) service request facility and (iii) comfort. And the three most relevant variables in the discriminant function related to the satisfaction on Uber's service were (i) service request facility, (ii) forms of payment and (iii) comfort.

DETERMINASI FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGUNAAN APLIKASI OJEK ONLINE

This study aims to analyze the factors that influence the decision to use the online motorcycle taxi application, which in this study takes a case study on the Grab application in the city of Semarang. The technique for determining data collection in this research is using a questionnaire that is distributed to 100 people (users) or users of the Grab online motorcycle taxi application with objects in the city of Semarang. The method of collecting respondents was using the accidental sampling method, namely collecting data from consumers who happened to use Grab's services in Semarang. This research uses quantitative data analysis techniques using multiple linear regression. Based on the study and processing of statistical data, it was found that the price had a positive effect on the decisions of online motorcycle taxi users. Promotion also has a positive and significant effect on the decisions of online motorcycle taxi application users. And other findings obtained that the quality of service has a positive and significant effect on the decisions of online motorcycle taxi application users. The suggestion from this research is that the Grab tariff needs to be considered so that the tariff is cheap, in accordance with the benefits and adjusted to the tariff for other online motorcycle taxi services. Promotional indicators that need to be considered are the reach of information and promotions that need to be expanded, attractive advertising stars, online motorcycle taxi services are easy to remember and the quality of the messages conveyed and advertising messages are easy to understand. Service quality indicators that need to be considered include: the appearance of Gojek partners is neat, Gojek partners work according to work schedules, responsive in hearing consumer complaints, able to serve consumers well and pay attention and communicate in a friendly manner.
 
 Keywords: price, promotion, service quality, and decision to use online motorcycle taxi applications

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.

Factors Affecting Customer Satisfaction in Mobile App-Based Taxi Services

With the technology revolution, studying about customer satisfaction has been a major concern for the companies in highly competitive industries. Transportation industry is not an exception, especially, the mobile app-based taxi industry in past few years with the increased usage of mobile applications. A good customer base for a company ensures the long-term survival and competitiveness in the market. Achieving customer satisfaction is the only way to gain and retain a good customer base for the company. Therefore, focusing on the factors affecting the customer satisfaction is important to gain competitive advantage and to become the leader in the industry. Though there were some studies done in this domain, there was a lack of research in relation to mobile app-based taxi service in the Sri Lankan context. Thus, the purpose of this study was to identify the factors affecting customer satisfaction in mobile app-based taxi services and to identify their impact. The research model and the hypotheses for the study were derived based on a comprehensive review of literature. The study followed a positivistic approach with the quantitative method. Convenience sampling method was used due to the time constraint of this research. An online questionnaire survey was administered to collect data for this study. Data analysis was done using structural equation modelling (PLS-SEM). The model was tested by collecting data from hundred mobile app-based taxi users in the Colombo District. Reliability and validity of the measurement instrument were established. Price, Trust and Coupon Redemption had significant effects on Customer Satisfaction in mobile app-based taxi services. The findings of this study provided implications for policy makers and mobile app-based taxi service companies.
 Keywords: Customer Satisfaction; Taxi Services; Mobile app-based taxi; Transportation

중국 일부 발달지역 성인의 식품 섭취량 및 생활방식의 변화 연구 : 중국 국민건강영양조사(1991-2015)자료를 이용하여

This study analyzed the trend of food intake and lifestyle changes among adults aged 18 to 69 years in five developed areas of China (Henan, Hubei, Jiangsu, Liaoning, and Shandong) using the data from the China Health and Nutrition Survey, 1991-2015. The results showed that the intake of grains decreased while the intake of fruits and vegetables increased in this period. Energy intake continued to decrease. Among the calorific nutrients, protein intake did not change significantly, but carbohydrate intake decreased by 13.0%, and fat intake increased by 11.7%. The trends in transportation showed that the number of people who chose walking decreased by 25.2% and cyclists decreased by 15.3%. On the other hand, the number of bus and subway users increased by 18.8%. The number of car and taxi users, which were included in the survey from 2004, increased by 10.1% between 2004 and 2015. The prevalence of obesity, hypertension, and diabetes also increased. In particular, abdominal obesity increased by 35.5%. From the above results, it is observed that there is a high correlation between the increased prevalence of chronic diseases such as obesity, hypertension, and diabetes and changes in people’s dietary life and transportation habits.

A Matching Model for Door-to-Door Multimodal Transit by Integrating Taxi-Sharing and Subways

We present a sustainable multimodal transit system that integrates taxi-sharing with subways to alleviate traffic congestion and restore the cooperative relationship between taxis and subways. This study proposes a two-phase matching model based on optimization theory, in which pick-up/drop-off sequences for participants, as well as their motivation to shift to a TSS service, were considered. For the transportation system, achieving a reduction in vehicle miles is considered to be the matching objective. We tested the matching model using empirical taxi global positioning system (GPS) data for a typical morning rush hour in Beijing. The optimization model performs well for large-scale data and the optimal solution can be calculated quickly, which is ideal in a dynamic system. Furthermore, several sensitive analysis experiments were conducted to evaluate the performance of the TSS system. We found that approximately 23.13% of taxi users can be served by TSS transit, total taxi mileage can be reduced by 20.17%, and carbon dioxide emissions may be reduced by 15.16%. The proposed model and findings demonstrate that the TSS service considered here is a feasible multimodal transit mode, with the advantages of flexibility and sustainability, and has great potential for improving social benefits.

Eksistensi Generasi Millenial dalam Berwirausaha di Era Digital (Studi Kasus Online Shop Denia Donuts Palembang)

The development of technology and access of information that is not limited to changing the perspective also provides opportunities for millennial generations to be able to develop various technology-based businesses. So they are demanded to be able to seize these opportunities. This study aims to determined the used of Social Media by Millennials and the challenges of Business in the Social Media Era. This research was a qualitative research with case study method. Data collection techniques used observation and interviews. As for data analysis, namely qualitative data analysis used the Miles and Hubbermen models which consist of three steps, namely data reduction, data presentation, drawing conclusions or verification. The results of this study indicated the use of social media by Denia Donuts is relatively large. In the aspect of utilizing social media as a means of interaction with consumers comes first with a percentage of 24.8% and the smallest indicator is the use of social media to find out about the quality of similar products with a percentage of 10.5%. As for several factors that determine the high success of the use of social media by Denia Donuts as a means of influencers, online motorcycle taxi users, and channels such as Facebook, Instagram and WhatsApp. While business challenges in the era of social media are changing consumer desires, high competition and consumer testimonials

Pengaruh Kualitas Pelayanan Dan Harga Terhadap Kepuasan Pengguna Jasa Ojek Online Di Solo

Online motorcycle taxi in solo is indeed very useful and very helpful for people who need an ease. The problem in this study is “What is the effect of service quality and price strategy on the satisfaction of users on online motorcycle taxi service in Solo”. The research method use was associative with a likert scale 1-5 using 20 questions in the form of a questionaire distributed to 40 solo residents. This study aims to determine how much influence the quality of service and strategy on online motorcycle taxi user satisfaction. It can be concluded that the service quality and pricing strategy has a great influence on the satisfaction of online motorcycle taxi users in Solo.

ANALYSIS OF USER SATISFACTION OF PUBLIC TRANSPORTATION OJEK ONLINE (GOJEK) THROUGH SERVICE INSTRUMENTS

In Indonesia, online motorcycle taxis are the largest public transportation with a very large number of partners and fleets, covering all parts of Indonesia. As a profit-oriented mode of public transportation, paying attention to customer satisfaction is a necessity. One of the efforts that can be done is to provide quality services. In fact, this study aims to find out how online transportation users respond by looking at the service elements provided by service providers. Scientific studies are used as a logical way to prove reliable research results, and in this study using quantitative methods and statistical analysis of linear regression. The subjects of this study were users of the online ojek public transportation mode in the South Tangerang area, Banten. The results of the study provide an overview, in general, respondents are satisfied with the presence of online motorcycle taxis. This is very helpful and facilitates user activities. However, there are still things that need to be improved, such as comfort and safety standards. Statistically, service has a significant effect on online motorcycle taxi user satisfaction.

The formation of passenger loyalty: Differences between ride-hailing and traditional taxi services

BackgroundTaxi services have played an essential role in the transport system as they contribute to urban mobility. With the rapid development of information and communication technologies, ride-hailing services, one of the typical sharing economy forms of road transport, have become increasingly popular. The uptake of app-based technologies that support the sharing economy for transport is considered to threaten the future of traditional taxi services directly. AimThis study aims to compare the direct and indirect effects of factors such as perceived benefits of booking method, perceived safety, involvement and satisfaction on the loyalty of passengers to ride-hailing and traditional taxi services. MethodA structural equation model of the relationships among these constructs was tested using data collected from 545 respondents (263 ride-hailing passengers and 282 traditional taxi passengers) who have used these services at least once a month in Vietnam. ResultsThe results have confirmed that there was a strong relationship between satisfaction and loyalty for ride-hailing as well as traditional taxi services. It was also evident that the variable describing the perceived benefits of booking method was the second strongest factor influencing traditional taxi passengers’ loyalty while the perception of safety was the second most important determinant of ride-hailing passengers’ loyalty. ConclusionsResults from this investigation offer insights for the development of strategies aiming at increasing the loyalty of ride-hailing as well as traditional taxi users. By focusing on the strengths and improving the weaknesses of each transport service, these two services can be complementary and co-existing without cannibalising each other. In turn this will lead to a transport system capable to serve all types of users.

Evaluating Safety Issues for Taxi Transport Management

Taxi drivers face many problems every day including safety issues. The tendency to quickly transport passengers to their destinations for more income has resulted in dangerous driving behaviors leading to traffic violations. So, taxi drivers need appropriate support and training programs to improve safety and reduce the risk of crashes. Implementing different support and safety training programs requires an effective management system. There is a dearth of research on the safety issues of taxis from the perspective of taxi organization managers. This study aims to evaluate the safety issues of taxi transport management through a case study of the Tehran Taxi Organization. A questionnaire survey was conducted with 22 regional managers and 20 transportation specialists of the Tehran Taxi Organization. Issues related to taxi drivers, roads and road users, vehicles, and management systems were evaluated in the questionnaire. Participants determined the relevance level and priority ranking of each question. The level of agreement was then tested using the Kendall concordance test. According to the results, the use of GPS was selected as the best in-vehicle monitoring system that can be used to evaluate drivers in the fleet. Participants believed that passengers’ loading and unloading had the most risk for taxi users. The start-inhibit technology to detect open doors was unanimously evaluated as an efficient technology for taxi safety. With respect to educating taxi users, starting education in schools had the most relevance and priority. Recommendations for increasing the safety of taxis include the use of GPS in taxis to monitor and evaluate drivers, receiving crash reports from police and submitting monthly safety assessment reports, flexibility in drivers’ working hours’ schedule, providing training on drivers fatigue management, and evaluating drivers’ health.

Real-time taxi demand prediction using recurrent neural network

The study aims to predict the location of taxi users, based on an algorithm that was built using a map learning method, which is one of the techniques of deep learning. As the location data of taxi riders showed sequential characteristics over time, learning was performed using a recurrent neural network, which is suitable for predicting dynamic changes over time. The main data used in the analysis were the Seoul Metropolitan Government's taxi tachometer data. These data were collected over a span of six months, from February 2018 to July 2018. Seoul Metropolitan Government's building data and Seoul public transportation smart card data were used as secondary data sources to reflect taxi traffic characteristics. Deep learning results were reviewed using different accuracy values based on combinations of the data sources, such as taxi data only, taxi data and building data and taxi data and smart card data. As a result, the algorithm was able to accurately obtain the distribution of taxi passengers’ boarding positions compared to the actual taxi riding pattern through statistical analysis. On the basis of these predictions, the asymmetric characteristics of taxi traffic in terms of transport planning and management can be solved.

Priorities of marketing, competitiveness, and innovative development of transport service providers under sustainable urban development

Monitoring the growing role of implementing sustainable development goals, on the one hand, and the use of the Internet of things in various spheres of life, on the other, is changing the way people think about their mobility. The urgency of this scientific problem is the need to review municipal policies on approaches to the use of appropriate methods of public transport to improve municipal transport infrastructure policies in the light of advances in «green» energy development. This article justifies the need to focus on the study of changes in the Ukrainian taxi drivers’ behavior in the urban environment on the development of «green» energy, development of appropriate programs to coordinate the requests of users and providers of taxi services through sustainable development and digitization of taxi services. In addition, the impact of sustainable energy development on transport diversification and the use of environmental modes of transport, in particular, electric cars as taxis, are analyzed, depending on the number of charging stations and access to electricity. The methodological tools used were cluster analysis, expert surveys, face-to-face interviews, statistical and fuzzy multiple estimation methods. The subject of the study was selected taxi services and taxi users in the Ternopil region. According to the survey results, the priority factors for the environmental behavior of Ukrainian taxi drivers were the level of business automation and the size of the taxi fleet. In a survey conducted by experts to examine the environmental safety of vehicles and the level of automation of enterprises, most taxi services were found to be environmentally unsound, focusing on sustainable development and environmental issues. The most problematic are technical support, automated ordering system, and significant vehicle wear in small cities. To determine the approaches to the management of greening, the objects of study were organized into relatively homogeneous groups. To this end, a cluster analysis was conducted. The study subjects were grouped into relatively homogeneous groups. The authors justified the feasibility of differentiated strategies and reaffirmed the idea of developing different approaches to environmental development depending on the level of environmental friendliness of vehicles, business automation, and relative shares of the fleet. The study results could be useful for infrastructure scientists and practitioners, taxi managers and owners, andlocal government officials.

Research on Evaluating Index System of the Applicability of Vehicle Used as Taxi

Under the background of the promoting policies of electric vehicles development, the electrification of taxi is imperative in China. This paper aims to build an evaluating index system for the suitability of taxi vehicles from the perspective of actual taxi users to support local cities to choose adaptive electric vehicle types. Based on the analysis of operating characteristics and technical needs of taxi, a three-level index system of target level, standard level and index level is proposed. Safety, convenience, efficiency, economy, and comfort are proposed in target layer; and 17 indicators are defined in index layer, such as operation cost, average daily operation mileage, vehicle failure rate. Using questionnaire survey data of taxi drivers, the weights of each indicators are assigned by the analytic hierarchy process. The research results will effectively support the taxi industry management departments and taxi operating companies to make scientific decision-making in the process of taxi electrification, then promote the sustainable development of the taxi industry.

Can Charging Infrastructure Used Only by Electric Taxis Be Profitable? A Case Study From Karlsruhe, Germany

Electric vehicles are a promising instrument for reducing greenhouse gas emissions and other local pollutants, such as nitrogen oxides. Especially the taxi sector is a promising field of application. First, their high driving distances are necessary for electric vehicles to economize against conventional vehicles. Second, taxis are operated predominantly in city centers, where the pressure to reduce local emissions is greatest. However, while the electrification potential of taxi fleets has gained great attention in literature, the question of whether charging infrastructure can be profitable if only used by taxis has not been answered yet. To answer this question, we analyze 161 taxis in Karlsruhe, Germany. We find that a high share of electric taxis would come at lower cost than their diesel counterparts. Thus, a 25–45% share of taxi driving could be electrified, if only the taxi user perspective would be taken into account. However, while ten charging sites would be necessary to do so, only one charging site could be refinanced through exclusive taxi use. Consequently, the electrification potential would fall to about 3%, if only this one profitable charging site was built. Yet, in the future, electric driving will become cheaper. In 2025, already 55% electrification potential would be possible, given that both electric driving and charging infrastructure operation would be profitable. Altogether, while currently taxi charging infrastructure would require public funding or other business models, in the medium to long term, an exclusive use by taxis would be sufficient.

Parental knowledge and beliefs on the use of child car restraints in Singapore: a qualitative study.

Road traffic injuries and fatalities represent a significant public health problem. In Singapore, compliance with appropriate child car restraints (CCRs) is poor. We aimed to understand parental knowledge, beliefs and barriers regarding the use of CCRs. In this qualitative study, we conducted five focus group discussions with parents who drive with their children in private cars. Participants were recruited using the KK Women's and Children's Hospital's social media page. Guiding questions were derived by consensus following literature review and adaptation to the Singapore context, exploring parental perceptions of CCR use. Focus group interviews were then transcribed and analysed. 33 participants were recruited, with an age range of 28‒46 (mean age 35.5) years. They had a total of 46 children with ages ranging from 2.5 months to 14 years (mean age 4.2 years). Three key themes were identified: parental knowledge regarding CCRs, barriers to CCR use, and suggestions to increase CCR compliance. Barriers to compliance included lack of knowledge, difficult child behaviour and cultural norms. A multipronged approach was proposed to increase CCR use, including educating the public, reinforcing positive behaviour, legal enforcement as a deterrent to non-compliance, increasing CCR installation services, providing CCRs for taxi users and offering financial incentives. Non-compliance to CCR use is multidimensional, including multiple potentially modifiable factors. This study could inform ongoing collaborative injury prevention efforts among healthcare professionals, industry partners and the traffic police, using public education and outreach to reduce the burden of road traffic injuries.

Spatiotemporal Analysis of Competition Between Subways and Taxis Based on Multi-Source Data

Excessive competition between taxis and subways has eroded the advantages of public transit systems such as worsening road traffic congestion and environment. This study aims to improve the appeal of subways by a comprehensive understating of competition between taxis and subways. We investigate competitive relationship between these two transportation modes by using empirical multi-source data. First, non-negative matrix factorization (NMF) algorithm is used to discover the spatiotemporal travel patterns of subway-competing taxi users (SCTUs). Second, we propose a new index to quantify the competitiveness of subways based on the actual mode choices results. Then, we reveal the spatiotemporal heterogeneity of competitiveness from perspective of subway network. Taking Beijing, China, for a case study, we extract a week’s worth of GPS records on taxi trajectory and smartcard data of subways. Subway-competing taxi trips (SCTTs) account for the largest proportion of the total taxi trips. As a result, three basic patterns are found in SCTTs. Subway station pairs with high and less competition are divided according to competitiveness index. Among low competition station pairs, three spatial structures are observed, including low-competition collinearity corridors, radial communities, and links between paralleled subway lines. Combining the distribution results of travel pattern and competitiveness degree, short-term and long-term planning suggestions are recommended respectively for station pairs with high demand but low competitiveness and those with low demand and low competitiveness. These findings provide useful insights into promoting more effective and sensitive policies to balance the competition and attract more taxi passengers to the subway system.

Challenging human driver taxis with shared autonomous vehicles: a case study of Chicago

ABSTRACT When autonomous vehicles (AVs) are fully functional, they will compete with existing mainstays in the transportation system. Sharing AVs can mitigate the inefficient use of privately-owned AVs (e.g., empty-vehicle miles), and to improve the productivity of AVs (i.e., less time parked than personal vehicles). Further, sharing AVs will enable people to travel without vehicle ownership costs and responsibilities. In this regard, taxi travelers will likely be the first users of shared autonomous vehicles (SAVs). This study investigates the trips made by taxi users in Chicago and develops an agent-based modeling framework to simulate a fleet of SAVs operating in the network, competing with human driver taxis. Results show that SAVs may attract more users than conventional taxis because of reduced driver-associated costs (driver not required in SAV services). The results provide insights to both private and public sectors who seek to implement SAVs to challenge or eventually replace existing taxis.

Estimating spatio-temporal variations of taxi ridership caused by Hurricanes Irene and Sandy: A case study of New York City

Extreme weather days were usually removed as outliers in past studies of taxi ridership. However, taxis play an important role during extreme weather events when other public transportation service is suspended. Thus, estimating spatio-temporal variations of taxi ridership during extreme weather conditions can provide valuable information on heretofore relatively unknown behavior of taxi riders and help identify areas with unusual taxi demands. In this study, New York City (NYC) taxi ridership shortly before the landfall of Hurricanes Irene and Sandy was analyzed. It was found that taxi ridership began to drop about 24 h before each hurricane made landfall. Six multisource regression models were estimated to explain the variation of taxi ridership in the last 24 h. Characteristics of the approaching hurricane, local weather conditions, and zonal socio-demographic variables were entered as explanatory variables. It was found that taxi ridership during hurricane-affected periods has a strong linear association with the ridership in unaffected periods but the proportion decreases as the storm approaches; a storm has the greatest impact on taxi ridership during weekend and at night, and the least impact on a weekday during the day; and taxi users make fewer trips during conditions of heavy rain or strong wind.