Rental Car Research Articles

How Covid-19 Has Changed Safety in the Car Transportation Sector: A Corpus-Assisted Analysis of Non-Financial Reports

The importance of people’s safety during Covid-19 has resulted in greater attention to this aspect in CSR and ESG disclosures, especially in the field of transport. The relevance of this topic is also reflected in the recent publication of linguistic studies that investigate how companies in some sub-sectors communicate their commitment to passengers’ safety (Rossato & Nocella, 2022; Bondi & Nocella, 2023). This paper explores how safety is discursively constructed and communicated in the car rental and ride sharing sectors, both before and during the pandemic. Working along the lines of corpus-assisted discourse studies (Partington et al., 2013), the research analyses a corpus of English CSR and ESG reports published by international American companies in the above-mentioned fields of transport. Findings suggest a great concern for safety issues and a more inclusive approach to both customers’ and employees’ safety during the pandemic. Additionally, car rental companies show more attention to vehicle safety, while ride sharing operators put more emphasis on road safety. Evidence also suggests that the companies largely employ commissive statements and vague linguistic choices that signal a general lack of transparency on the practices and initiatives enacted to ensure customers’ and workers’ safety.

A privacy-preserving federated learning approach for airline upgrade optimization

PurposeA key issue of making upgrade decisions is to match the most relevant upgrade offers to the right customers at the right time. To optimize upgrade strategies and profitability, companies seek to break “data silos” between themselves and other business partners for a more holistic view of customers' consumption experiences. However, multi-source data fusion may lead to potential privacy leakage. To overcome these two challenges in data silos and privacy protection, this study introduced a privacy-preserving federated learning (FL) approach and explained the process of using FL in modeling airline passengers’ willingness to pay for upgrade offers. Design/methodology/approachFederated learning is a new confidential computing technique that allows companies to train a model cooperatively by exchanging model parameters instead of the actual raw data, which might include customers' privacy sensitive information. Using a case study of a Chinese airline company, this study demonstrated how FL-based upgrade models using multi-source data can be developed to improve the accuracy of predicting customers' willingness to pay for upgrades while preserving customers’ personal data privacy. FindingsComparing with traditional unilateral model using single-source data, the federated logistic regression and SecureBoost models demonstrate better model performance. This indicates that the proposed FL approach can enhance the accuracy of modeling airline passengers' willingness to pay for upgrade offers while preserving passengers’ data privacy. The findings also show that the FL-based models generally took longer running time than the traditional unilateral model due to the design of FL approach in ensuring data privacy. OriginalityThis study contributes to the literature of upgrade optimization by introducing the new FL approach for developing machining learning models to predict customers’ reaction to upgrade offers. Although we focus on the airline industry in our case study, the proposed FL approach can be applied to other industries with a similar issue of upgrade optimization such as hotels or cruise lines, and car rental.

Safeguarding Personal Identifiable Information (PII) after Smartphone Pairing with a Connected Vehicle

The integration of connected autonomous vehicles (CAVs) has significantly enhanced driving convenience, but it has also raised serious privacy concerns, particularly regarding the personal identifiable information (PII) stored on infotainment systems. Recent advances in connected and autonomous vehicle control, such as multi-agent system (MAS)-based hierarchical architectures and privacy-preserving strategies for mixed-autonomy platoon control, underscore the increasing complexity of privacy management within these environments. Rental cars with infotainment systems pose substantial challenges, as renters often fail to delete their data, leaving it accessible to subsequent renters. This study investigates the risks associated with PII in connected vehicles and emphasizes the necessity of automated solutions to ensure data privacy. We introduce the Vehicle Inactive Profile Remover (VIPR), an innovative automated solution designed to identify and delete PII left on infotainment systems. The efficacy of VIPR is evaluated through surveys, hands-on experiments with rental vehicles, and a controlled laboratory environment. VIPR achieved a 99.5% success rate in removing user profiles, with an average deletion time of 4.8 s or less, demonstrating its effectiveness in mitigating privacy risks. This solution highlights VIPR as a critical tool for enhancing privacy in connected vehicle environments, promoting a safer, more responsible use of connected vehicle technology in society.

‘Travelling for $1 a day!?’ Introducing rental vehicle relocation as a tourism practice

ABSTRACT The objective of this paper is to introduce and explore the concept of rental vehicle relocation (RVR) as a mode of transport and beyond for (drive) tourists. By situating RVR within the domain of drive tourism, we contextualise its emergence amidst current scholarly discourses. Methodologically, we adopt a dual-methods strategy that integrates autoethnographic and netnographic methods to collect material in the specific context of New Zealand. The findings shed light on the multifaceted role of RVR, highlighting its significance as a mode of transport, an attraction for travellers, and a unique tourist experience. Our research makes theoretical contributions towards establishing RVR in a distinct position within the tourism ecosystem. Furthermore, this research presents practical implications for RVR platforms and rental car providers at large to acknowledge, refine, and promote RVR services.

Aplikasi Rental Mobil Berbasis Web Studi Kasus pada Adiba Trans Rental menggunakan PHP MySQ

The high demand for car rental services in Ciputat, South Tangerang, especially at certain times, has encouraged the growth of many car rental businesses. The presence of many car rental operators in Ciputat certainly creates fierce competition between them. Therefore, it is important for these businesses to carry out continuous evaluation and development in order to remain competitive with competitors. Success in providing satisfactory service to customers will make them remain loyal to using their favorite rental services. Conclusions and recommendations from the study conducted related to Web-Based Car Rental Applications in the Adiba Trans Rental Case, which was built using PHP and MySQL. The results of this study indicate that the development of a web-based application for car rental in the Adiba Trans Rental case using PHP and MySQL has succeeded in meeting the expected objectives. This application offers an effective solution for managing car rentals with ease of use via the web. The effectiveness of this application can be seen from its complete functional capabilities, easy-to-use user interface, and smooth integration between PHP as a programming language and MySQL as a database management system.

The Influence of Car Rental Product Quality, Prices, and Complaint Handling System on Decisions to Use Car Rental Services at Botana Transport Rent Car & Tour Travel

The aim of this research is to determine the influence of product service quality, price, rental car complaint handling system on the decision to use car rental services at Botana Transport Rent Cars & Tours travel. This research was conducted at Botana Transport Rent Cars & Tours travel located on Jl. Raya Kemang, Cilegon City. The sample in this study consisted of 100 respondents using Accidental Sampling. The data analysis used is multiple linear regression. The results of the research are that product quality and the complaint handling system have a positive influence, while price has a negative influence on the decision to use a rental car at Botana Transport Rent. Cars & Tours travel. Simultaneously or at the same time, product quality, price and car rental handling system at Botana Transport Rent Cars & Tours travel. Meanwhile, the R Square value explains the decision to use car rental services at Botana Transport Rent Cars & Tours Travel is influenced by product quality, price and complaint handling system by 44.2% while the remaining 55.8% is influenced by other variables not used in this research.

Juridical Review of the Criminal Act of Car Theft by Rental Car Mode According to the Criminal Law (KUHP)

Juridical Review of the Criminal Act of Car Theft by Rental Car Mode According to the Criminal Law (KUHP)

The Influence of Price, Service Quality and Trust on Consumer Loyalty in Trans Lamongan Straightforward Car Rental Services

The Influence of Price, Service Quality and Trust on Consumer Loyalty in Trans Lamongan Straightforward Car Rental Services

Modeling price-sensitive demand in turbulent times: an application to continuous pricing

AbstractPricing drives demand for service industries such as air transport, hotels, and car rentals. To optimise the price, firms have to predict real-time customer demand at the micro level and optimise the price. This paper contributes to revenue management by introducing a nonparametric statistical approach to predict price-sensitive demand and its application to continuous pricing. Continuous pricing lets service companies maximise revenue by using customers’ willingness to pay. However, it requires accurate demand estimations, particularly of customers’ price sensitivity. This paper introduces an augmented generalised additive model to estimate price sensitivity, which identifies substantial variations in price sensitivity, exceeds the predictive performance of state-of-the-art alternatives, and controls for price endogeneity. In addition, the demand model has variable price derivatives enabling continuous pricing. The proposed approach offers a simple and efficient way to implement continuous pricing with a closed-form solution. Our research also highlights the relevance of considering the problem of price endogeneity when estimating price-sensitive demand based on observations from prior pricing decisions. We demonstrate how continuous pricing is applied using empirical airline ticket data. We document a field study, which shows a revenue increase of 6% on average, and outline how the approach applies to turbulent market conditions caused by the COVID-19 pandemic, the surge in inflation since mid-2021, and the start of the Ukraine war in April 2022.

Risk Management and Service Management Strategies for Car Rental in Improving Vehicle Security Quality for the Company

The shift in tourist interest from initially using transportation services through travel agents to now preferring to rent vehicles themselves has become evident. With the increasing number of consumers requiring car rental services and companies expanding their fleet sizes, it is undeniable that the associated risks also increase each year. Therefore, the purpose of this research is to explore the complex risks to vehicle units in car rental companies in Bali and to determine strategies and steps to improve the security quality of vehicle units in these companies. This study employs a descriptive qualitative method with an enterprise risk management approach, which includes risk identification, risk analysis, risk assessment, risk management, and risk monitoring. The research results, using the likelihood impact matrix technique on five car rental companies in Bali, identified four common risks: operational risk, financial risk, human resources risk, and external risk, with varying levels of risk from low risk, medium risk, to high risk. Strategies for managing these risks include mitigating medium risks and accepting low risks. The policies derived from this study are in the form of risk analysis and risk management strategies for car rental companies in Bali to enhance the security quality of their vehicle units.

Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models

In modern times, people predominantly use personal vehicles as a means of transportation, and, as this trend has developed, services that enable consumers to rent vehicles instead of buying their own have emerged. These services have grown into an industry, and the demand for predicting rental prices has arisen with the number of consumers. This study addresses the challenge in accurately predicting rental prices using big data with numerous features, and presents the experiments conducted and results obtained by applying various machine learning (ML) algorithms to enhance the prediction accuracy. Our experiment was conducted in two parts: single- and multi-step forecasting. In the single-step forecasting experiment, we employed random forest regression (RFR), multilayer perceptron (MLP), 1D convolutional neural network (1D-CNN), long short-term memory (LSTM), and the autoregressive integrated moving average (ARIMA) model to predict car rental prices and compared the results of each model. In the multi-step forecasting experiment, rental prices after 7, 14, 21 and 30 days were predicted using the algorithms applied in single-step forecasting. The prediction performance was improved by applying Bayesian optimization hyperband. The experimental results demonstrate that the LSTM and ARIMA models were effective in predicting car rental prices. Based on these results, useful information could be provided to both rental car companies and consumers.

Analisis Risiko Jasa Rental Mobil Pada CV. Mawar Rental Car

The purpose of this research is to analyze and determine possible risks that occur in car rental services, making it easier for companies to take action to prevent risks that can occur at CV Mawar Rental Car. The risks that arise come from internal factors that cause this company to experience losses. This research uses a quantitative research approach. The research location is on Jalan Setia Budi No. 12, Medan, North Sumatra. The data collection techniques used in this research were kuesioner. from the results of research at CV. Mawar Rental Car, the first thing to do is identify risks originating from operational risk, financial risk, external risk.

Default on Rental Renting a Car at Hidro Rent Car and Tour Jogja

Not everyone can have a private vehicle, so it needs a car to rent because it provides transportation options for people to reach places like recreation, hiking, or traveling. It's because of the efficiency of cars, which can transport people. Hidro Rent Car And Tour Jogja is one of the companies in the field of car rental. The purpose of this research is to find out the form of the misrepresentation and its conclusion in the car rental agreement at Hidro Rent Car. The type of research used is a combination of normative legal research and empirical legal research, so that the research data consists of primary data and secondary data. The conclusion of this investigation: (1) the form of discharge performed by the tenant is to damage the rental car and to be late in returning the rented car. (2) The discharges performed are that the tenants are obliged to replace the loss by paying compensation money, and the deposit money used to pay the car service fee, as well as paying the daily fee while the car is in the workshop until the car can be reused as it used.

How New Digital-Based Service Offers Change Consumer Practices: A Theory of Social Practise (TSP) Approach

Abstract This study investigates the transformative impact of digital service offers on consumer practices, utilizing the Theory of Social Practice (TSP) as a theoretical framework. Focusing on the use of public transportation and short-term car rental (“carsharing”) services, it explores how digital innovations reshape consumer behaviors and interactions. Through an empirical analysis of commuter practices, the research identifies how consumers use digital service offers from providers to create and adapt new practices. Key findings include the emergence of distinctive commuting behaviors, such as the use of fully electric rental cars in bus lanes during rush hours, contrasted with the use of non-electric rental cars in regular traffic lanes during off-peak times. These observations underscore a dynamic shift from established consumer practices, revealing a process where consumers actively innovate and redefine their daily routines in response to digital service offerings. The study not only highlights the fluidity of consumer practices but also suggests a research strategy focused on understanding these emerging patterns rather than on studying predefined practice modalities.

Sistem Informasi Manajemen dan Monitoring (Simamo) Rental Mobil Berbasis Iot (Sub Sistem Manajemen)

Car rental is a business that provides car rental services to parties in need, both individuals and companies, usually ranging from a few hours to a few days. However, many car rental service providers experience several problems, such as a lack of vehicle monitoring, difficulty for renters to obtain information on car availability and data archives that are still conventional. The research method used was the waterfall system development method with UML system modeling. The programming language used is the PHP programming language and MySQL as the database. The system built has been tested using blackbox testing and whitebox testing and can run well. The features contained in the IoT-based car rental management and monitoring information system are car ordering, monitoring, managing car data and managing transactions. The aim of creating an IoT-based car rental management and monitoring information system is expected to be able to help renters and car rental providers in business processes.

Car Rental System Authors:

The Car Rental System enables customers to reserve vehicles from anywhere globally. By providing personal information, customers can create accounts on the website and proceed to reserve cars according to their preferences. This online system automates manual procedures effectively, aiding customers in filling specific details as per their needs. The goal is to establish a website for customers to book vehicles and request services worldwide KEYWORDS: Car Rental System, Online Booking, PHP, PHPMYADMIN, XAMPP, Database Management, System Analysis, Feasibility Analysis, User Interface Design, Data Flow Diagram, Sequence Diagram, ER Diagram, Database Connectivity

A Sensor-Based Application for Eco-Driving Management in Short-Term Car Rentals

How to reduce fuel consumption to mitigate CO2 emissions to the atmosphere and improve road safety is one of the priorities to be addressed in the field of transport in the European Union. Considering the trend towards more frequent car rentals, it seems important to encourage drivers to change their driving style to a more ecological and economic one. This can be achieved by a system (built of a sensor located in the car, analytical software in the cloud and a mobile application for displaying results) that analyzes driving style and tells the driver how to drive better. Solutions such as the car bus PCB, GSM/GPS modem and 3D sensors were used in the development of the sensor. The validation of the sensor and the development of the analytical system are based on tests carried out in road conditions and in a closed area. Graphical methods (box-plot charts), correlation analysis and testing statistical hypotheses using the Mann–Whitney method were used in the analysis of the test results. The developed sensor and the analytical system allow for identifying the driving style of drivers. This system, through the use of a sensor that allows for downloading data not only from the car’s CAN bus but also the forces acting on the vehicle, permits the checking of 14 driving parameters used to interpret the driver’s driving style.

Car Rental Service

Abstract: Customers will be able to reserve their vehicles from anywhere in the world due to the Car Rental Service. Consumers provide information to this application by filling in their personal information. When a consumer creates an account on the Andriod application, he or she can reserve a car. The proposed Service is an online Service that is fully integrated. It effectively and efficiently automates manual procedures. Customers are aided by this automated method, which allows them to fill in the specifics according to their needs. It contains information on the sort of car they want to hire as well as the location. The goal of this Service is to create a Andriod application where customers can book their automobiles and request services from anywhere in the world. There are three phases to this car rental Service mentioned in the introduction.

Some Observations from a Summer Trip to Alaska

Last summer my wife and I went to Alaska for a couple of weeks. In my nearly 40 years of work with the U.S. Fish and Wildlife Service I never had the opportunity to experience Alaska’s wetlands, so I had to do it in retirement — one item on my bucket list. We started our trip in Anchorage and our first stop with the rental car was Potter Marsh which has a great boardwalk system traversing the marsh. To our surprise after walking just 100 yards, we saw a moose feeding in the shallow water...what a sight at our first stop. We then went to Seward and along the way stopped at the Alaska Wildlife Conservation Center and Exit Glacier. When back in Anchorage we stopped at 49th State Brewing where I had two pints of a delicious imperial stout — “Candy Bar” — brewed with peanuts, chocolate, and caramel...perfect for my sweet tooth (sorry but the beer was just so good I have to give it a shout-out). We also visited a high school classmate who was a teacher in Anchorage and spent a day in Talkeetna where we spoke with Aurora Dora, a local photographer who has captured some amazing images of the Aurora Borealis (check out images on her website: https://auroradora.com/). Here we also sampled some birch syrup made from White or Paper Birch (Betula papyrifera var. humilis and B. neoalaskana). On Day 3 we began our Princess land-sea cruise tour as we headed north to Denali for a couple of days and then took the scenic train to Whittier (great views of Alaska’s wetlands on the way, despite the rain) and then to various ports via ship. I was hoping to see some bears in Denali and other places, but the salmon were not yet running, so bears were out of sight although I did see one running across a meadow at some distance. I also saw a few along with other animals common to the state at the Alaska Wildlife Conservation Center where they rescue injured/orphaned wildlife. Some high points of the trip were seeing Denali in all its glory, a female moose with calf at Horseshoe Lake, wildflowers in bloom along the Savage River Trail and the Savage Alpine Trail (exhausting but great time for wildflower photography), a hike across a local bog at Hoonah (Icy Strait Point), a hike through a temperate rain forest (Tongass National Forest) to Mendenhall Glacier, and seeing Humpback Whales (Megaptera novaeangliae) bubblenet feeding in Auke Bay, plus views of a few other glaciers and whales during the cruise. If you don’t know what bubble-net feeding is ... check out this website: https:// www.youtube.com/watch?v=z00G0RxeSP0. There’s still more to see in Alaska, so we’ll probably be heading back in late summer 2025 to travel inland. Here’s some mostly wetland-centric images from the trip.

Rehabilitating Flood-Damaged Cars for Sustainable Car Rental Services: A Web-Based System

Rehabilitating Flood-Damaged Cars for Sustainable Car Rental Services: A Web-Based System