Convenient Parking Research Articles

Big geo-data unveils influencing factors on customer flow dynamics within urban commercial districts

Commercial districts, as the epicenters of urban commerce and economic activity, largely reflect an area’s prosperity through their customer flow. However, previous research, which often relied on statistical and survey data, has typically not captured the full scope of customer flow dynamics throughout urban commercial districts and has not adequately measured the specific impacts of business district locations and their surrounding communities on customer flow. To bridge these gaps, this study utilizes multidimensional big geo-data resources, including mobile phone signaling data, Points of Interest (POI) data, and transportation network data, to uncover the underlying factors that influence customer flow within urban commercial districts. The findings suggest that several factors—the size of the commercial district, the diversity of business formats, the convenience of parking, the working and residential population in surrounding communities, and the proximity to urban centers—significantly influence the customer flow. Consumers show a preference for larger-scale, centrally-located commercial districts that offer convenient parking options, while a homogenized and uncharacteristic business format may reduce a commercial district’s appeal. Furthermore, the study reveals that industrial parks and mixed-use complexes within the 15-minute living circle surrounding the commercial district have a stronger attraction to customer flow than residential neighborhoods do. The insights from this research not only guide the strategic placement of new commercial centers but also provide a robust framework for enhancing the layout of urban commercial spaces and for the revitalization and advancement of established commercial districts.

Interactive Effects of Built Environment and Parking Policy on Car Use: Examining Differences Between Work and Non-Work Trips

Considerable interest has been shown in decreasing car use through planning and policy-making efforts. However, little is known about the interactive effects of built environment (BE) and parking policy on car use, and it is unclear whether and how these effects differ across trip purposes. We conducted a web-based survey in Beijing and collected data from 1036 respondents, including 517 male and 519 female respondents. This study estimates the interactive effects of BE and parking policy on car use for home-based work and non-work trips by employing multilevel logit models. The results show that BE variables at trip origins and destinations are important for shaping car use for both home-based work and non-work trips. Specifically, land use mixture (Coeff. = −0.121), bus stop density (Coeff. = −0.006), and population density (Coeff. = −0.009) at residential locations are negative factors affecting car use for work trips, whereas distance to local center (Coeff. = 0.012) and distance to the city center (Coeff. = 0.019) at residential locations are positive factors. Land use mixture (Coeff. = −0.323), bus stop density (Coeff. = −0.008), road density (Coeff. = −0.002), and population density (Coeff. = −0.007) at residential locations are negative factors of car use for non-work trips. Among BE factors at destinations, land use mixture (Coeff. = −0.319), bus stop density (Coeff. = −0.015), road density (Coeff. = −0.008), distance to the local center (Coeff. = −0.018), and population density (Coeff. = −0.012) are negative factors for car use for work trips, whereas the negative factors for non-work trips are land use mix (Coeff. = −0. 218), bus stop density (Coeff. = −0.038), road density (Coeff. = −0.003), distance to the city center (Coeff. = −0.121), and population density (Coeff. = −0.009). The effects of BE variables can be strengthened or weakened by free parking and parking convenience. Moreover, the results identify significant differences in the effects between work and non-work trips. These findings inform planners and policymakers of how to coordinate the BE and parking policies to decrease car dependence.

An intelligent parking allocation framework for digital society 5.0

In recent smart city innovations, parking lot location has garnered a lot of focus. The issue of where to put cars has been the subject of a lot of literature. However, these efforts rely heavily on algorithms built on centralized servers using historical data as their basis. In this study, we propose a smart parking allocation system by fusing k-NN, decision trees, and random forests with the boosting techniques Adaboost and Catboost. Implementing the recommended intelligent parking distribution technique in Smart Society 5.0 offers promise as a practical means of handling parking in contemporary urban settings. Users will be given parking spots in accordance with their preferences and present locations as recorded in a centralized database using the proposed system’s hybrid algorithms. The evaluation of performance considers the effectiveness of both the ML classifier and the boosting technique, and it finds that the combination of Random Forest and Adaboost achieves 98% accuracy. Users and operators alike can benefit from the suggested method’s optimised parking allocation and pricing structure, which in turn provides more convenient and efficient parking options.

Can Relocation Influence Human Acceptance of Connected and Automated Vehicles?

Connected and automated vehicles (CAVs) are poised to revolutionize mobility. The relocation feature of CAVs enhances parking convenience for the public. Users can instruct CAVs to arrive at their work destination, drop them off, and then assign CAVs to a cost-effective parking facility through an optimized itinerary. However, realizing the benefits of CAVs depends on user acceptance, and the impact of relocation features on CAV acceptance remains an area that is yet to be explored. This study introduces a novel acceptance model to mainly investigate the effects of relocation-related factors on CAV acceptance through 717 valid responses. The results indicate that the perceived convenience of relocation (PCOR) indirectly increases human acceptance through three determinants, initial trust, perceived usefulness (PU), and perceived ease of use (PEOU), while initial trust, PU, and PEOU directly increase human acceptance. The public expectations of saving on parking fees (EOSPF) can enhance PCOR. Additionally, a multigroup analysis revealed that PCOR exerts a more positive impact on PU or PEOU in subgroups including males, pre-Generation-Z individuals, experienced drivers, and those with autopilot riding experience. The findings on mediators are also discussed. This study provides valuable insights for further research and the practical adoption of emerging CAVs.

Study on Service Quality and Priorities of Pedestrian Path Development in Malioboro Area to Support Sustainable Urban Mobility

This article aims to study the service quality and prioritize the development of pedestrian paths in the Malioboro area to support sustainable urban mobility. Malioboro is one of the commercial and tourist centers in Yogyakarta city, historically known for its pedestrian-friendly pathways. Challenges such as pedestrian circulation issues, inadequate pedestrian facilities, conflicts between pedestrians and motorized vehicles, and problems with drop-off and stop zones for less organized transportation contribute to the low service quality in the Malioboro area. This study adopts a quantitative approach using direct observation and a questionnaire distributed to 132 pedestrian path users. The collected data is analyzed using descriptive analysis techniques and Importance Performance Analysis (IPA) to understand the existing conditions, quality, and priority of pedestrian path services in the Malioboro area. The study results indicate that the service quality of pedestrian paths in Malioboro faces several challenges. Factors such as motor vehicle traffic density, lack of quality pedestrian infrastructure, and pedestrians' unsafe behavior contribute to the low service quality. The pedestrian satisfaction analysis using the Customer Satisfaction Index (CSI) revealed a satisfaction rate of 69.19%, categorizing it as "adequate." However, improvements in pedestrian path services are necessary based on the significance of the Malioboro area and its high appeal to pedestrians. The goal is to achieve good or even perfect satisfaction in terms of service quality. An analysis of interests was conducted, resulting in the identification of four quadrants with distinct characteristics. These quadrants serve as a valuable guide for enhancing the quality of pedestrian path services. Quadrant 1 encompasses attributes such as crossing facilities, CCTV surveillance, protection from weather conditions (rain, heat, cold), and parking convenience. Despite their high importance, these variables received low satisfaction ratings from respondents. Enhancing both the quantity and quality of these variables is crucial. Policymakers should pay special attention to these four variables and implement concrete measures to surpass the "adequate" assessment and attain better pedestrian service satisfaction. By implementing these measures, it is expected that Malioboro can serve as an example in supporting sustainable urban mobility by providing good and safe services for pedestrians. This study can also provide guidance and input for the government and relevant stakeholders in decision-making regarding pedestrian path infrastructure development in similar areas.

Valoración de los atributos para la elección de un centro odontológico en Trujillo, Perú: pacientes versus odontólogos

Objective: To determine the difference between patients and dentists regarding the assessment of attributes for choosing a dental center in Trujillo, Peru. Materials and Methods: A comparative cross-sectional observational study was conducted involving a sample of 162 dentists and 162 patients from the Trujillo province in Peru. The data was collected through a virtual questionnaire, validated by experts, and assessed for reliability. Statistical analysis was performed using the U-Mann Whitney and Spearman correlation tests, with a significance level set at 5%. Results: Patients, in comparison to dentists, demonstrated a greater preference for selecting a dental center where the practitioner is a recognized specialist (p<0.001). Similarly, patients showed a preference for centers offering expedited appointments, advanced technology, and equipment, providing affordable and flexible payment options, free consultations, and having convenient parking and comfortable facilities (p<0.05). Conversely, dentists perceived that the most valued attribute by patients is the recommendation of the dentist (p=0.031). Conclusions: When choosing a dental center, patients primarily value attributes related to both the professional responsible for care and administrative management. Conversely, dentists consider the main factor influencing a patient’s choice of dental center to be recommendations of the dentist. Valoración de los atributos para la elección de un centro odontológico en Trujillo, Perú: pacientes versus odontólogos.

PREFERENCES FOR BICYCLING AND CONNECTING TO BUS RAPID TRANSIT IN YOGYAKARTA, INDONESIA

The problem of limited interest in public transportation due to the restricted coverage of bus rapid transit (BRT) services can be addressed by enhancing door-to-door options. Providing feeder services to assist users in their journeys from start to finish is crucial to achieving this. One suggested feeder option is bicycles because they are faster than walking and eco-friendly. However, in Yogyakarta, there is currently no integration of bike lanes with BRT lanes, making it difficult to promote multimodal transportation. In addition to planning routes, it is important to consider the characteristics of BRT users when implementing multimodal transportation. This helps determine the BRT user category, enabling customized and prioritized service delivery. This study explores the factors that encourage users to use bicycles as feeders and offers insights into users’ preferences for cycling facilities. Data were collected through a questionnaire distributed to 200 BRT users selected randomly over 30 days. Based on the model tested using multiple regression analysis, the most popular and confident travel destination for BRT users is their workplace. Moreover, BRT users prefer bicycle lanes that are separate and distinct from other vehicle lanes and convenient bicycle parking locations near bus stops. This research provides valuable recommendations for all stakeholders, particularly the government, to enhance and sustainably improve public transportation services.

Design and Implementation of an Android-Based Intelligent Parking Reservation Management System

With urban traffic congestion and parking issues becoming increasingly severe, the emergence of smart parking systems offers a solution. This research designs and implements an Android-based intelligent parking reservation management system. It aims to provide convenient and efficient parking services by combining mobile technology with intelligent management. The system includes core functions such as user management, parking facility information retrieval, parking space reservation, and driving navigation, catering to diverse needs in urban parking scenarios. Through rigorous system testing, this solution demonstrates excellent performance in user experience, functionality, and efficiency. The Android-based parking reservation management system proposed in this study offers an innovative solution to address urban parking challenges. It paves the way for new possibilities in smart city transportation management.

Smart Parking System using Image Detection Algorithms & Optical Character Recognition (OCR)

Abstract: The Smart Parking System is an innovative and effective solution designed to make parking more efficient in urban areas, using advanced technology to help both vehicle owners and parking operators automate and optimize the parking process. When a vehicle enters the parking lot, it is successfully identified using an advanced sensor and camera system, with a highresolution camera that records the license plate number and optical character recognition (OCR) technology. Get accurate license plate numbers. The data is then stored in the MongoDB database along with the input timestamp and when the vehicle moves, the license plate is re-identified using the same technique and the system stores the input timestamp associated with the detected license plate in the database. he does. Reading from Parking time is calculated from the time difference between entering and leaving the parking lot, and the parking fee is calculated per hour. To facilitate payment, a QR code is generated and displayed at the exit. Vehicle owners can use their mobile device to scan this QR code and connect to the secure payment gateway. After the payment is completed, the exit door will open automatically and the car can leave the parking lot. This smart parking system offers many benefits, including fewer numbers, increased accuracy, reduced waiting time, and efficient payment processing. It reduces congestion in urban areas and improves traffic flow while providing users with convenient and troublefree parking

Parking Slot Booking System

Abstract: The Parking Slot Booking System is a comprehensive and user-friendly digital platform designed to simplify and enhance the process of reserving and managing parking slots. In today's fast-paced world, efficient parking solutionsare crucial, and this system aims to bridge the gap between drivers and parkingfacilities by providing a convenient and accessible solution. This project assists parking facilities, such as parking garages or lots, in allowing clients or users to reserve parking slots online. The system enables users to easily browse through available parking slots, view their details, including location, availability, and pricing, and book slots for their preferreddate and time. This parking slot booking system efficiently organizes and manages the allocation of parking slots, ensuring a seamless and hassle-free experience for both users and parking facility administrators. The system operates with three main roles: the administrator, the parking facility, and the user. The administrator populates the system with informationabout available parking slots, their locations, and other relevant details. Users visit the parking slot booking system website or app to find a suitable parking slot, check the availability for their desired time, and make a reservation. The parking facility can view and manage all reservations, ensuring that the parking slots are efficiently allocated. This system offers parking facilities a robust tool for overseeing their parking slot reservations, reducing administrative workload, and enhancing the overalluser experience for those seeking convenient and reliable parking solutions.

Patient and Care Provider Perspectives on the Management of Fecal Incontinence: A Qualitative Rapid Review

Patient and Care Provider Perspectives on the Management of Fecal Incontinence: A Qualitative Rapid Review

Total Quality Management, Safety and Stakeholders Satisfaction: Model for Healthcare Administration

Total Quality Management, Safety and Stakeholders Satisfaction: Model for Healthcare Administration

Assessment of future parking systems with autonomous vehicles through agent-based simulation: A case study of Hangzhou, China

Autonomous vehicles (AVs) are expected to transform urban parking. AVs may not require dedicated parking spaces near their destination. Instead, AVs can drive to the optimal parking lot, cruise, or return to the origin after the passenger gets off. Previous research on AV parking strategies has largely overlooked actual trip patterns and road network conditions that can affect the effectiveness and feasibility of these strategies. In this paper, we construct an agent-based simulation model to assess the potential impacts of AVs on urban parking, focusing on new AV parking strategies. Using the real traffic network and trip data of Hangzhou, we assess the impacts on overall network efficiency, personal trip, and parking demand under different AV penetration rates. Results show that AVs could decrease the total parking cost from 23 to 6 RMB and increase parking convenience for both AVs and human-driven vehicles (HDVs). 21% of AVs will still choose to park, while 70% will return to the origin. On average, each trip with AV will generate an additional zero-occupant distance of 8.8 km, exacerbating the congestion. The findings indicate the benefits and challenges of new AV parking strategies, providing valuable insights for future urban parking planning and policy making.

Game-Based Demand Feedback Reservation Parking Pricing

Reservation parking is a new type of parking that allows users to obtain a parking space for an appropriate time slot by reservation. This paper pioneers a high degree-of-freedom reservation strategy and rules for commercial districts in which users can arbitrarily select parking time slots. The nested logit is applied to build a parking revenue model by analyzing the cost, demand, and price factors sequentially according to the user’s choice behavior. The parking lot price game in the region is dissected and a nonlinear pricing model is proposed for maximizing regional returns. A model validation of a parking lot in an actual commercial area shows that compared to the traditional parking method, the parking lot revenue increased by 69.63% upon the application of this reservation strategy and pricing scheme, while the parking lot traffic increased by 22.4%. This model can provide strong support for reservation parking pricing in commercial areas. In the comparison of scenarios, the scientific validity of this model using dynamic pricing and regional game competition is verified. In the application, a reasonable price scheme can be formulated based on the parking lot traffic, cost, and surrounding parking strategies, which can result in higher parking revenue while providing users with great parking convenience.

Integrating built environment and parking policy for car commuting reduction: evidence from Beijing

ABSTRACT Built environment (BE) planning and parking policy are two major strategies for restricting car use. However, researchers usually explore the independent associations of BE and parking policy with the use of the car in commuting, and most earlier studies are limited to investigating the benefits of integrating them. This study adopts a machine learning approach to explore the associations of home and workplace BE features and parking policy with the use of the car in commuting and whether the associations of BE features are moderated by parking policy. Results suggest that workplace BE features have larger collective contributions to the use of the car in commuting than home BE features. All BE features have nonlinear associations with the use of the car in commuting, and the nonlinear patterns differ across home and workplace neighborhoods. Moreover, free parking and parking convenience have significant moderating effects on the connection between BE and the use of the car in commuting. Thus, planning practitioners and policy makers should highlight the importance of coordinating BE planning and policy making to restrict the use of the car in commuting.

Analysis and Design of the Smart Park Entry Logistics Vehicle Management System

With the rapid development and widespread application of information technology, 5G, cloud computing, artificial intelligence, and the Internet of Things (IoT), the construction of "smart parks" has become a common trend in park development. To create a "smart security" park with core features of security, access control, and energy efficiency, addressing the challenges of difficult monitoring, lack of order, and dispersed timing in the delivery process of inbound logistics vehicles, this study proposes an Intelligent Entry Logistics Vehicle Management System based on IoT technology. This system integrates wireless communication technology, mobile terminal technology, GPS positioning, and vehicle management application services from the Smart Park Data Service Platform to efficiently monitor logistics vehicles within the park. Furthermore, the system focuses on intelligent parking space planning and allocation to provide comprehensive support, including optimizing the processes of vehicle entry and exit and parking. The design goal of this system is to enhance the security of inbound logistics vehicles within the park and provide more convenient parking and cargo handling services.

Car Parking Automation and Premises Security System

Abstract: India is a developing nation. With progress at such a rate, there are cars today at every corner, and parking these cars is a significant issue in the country. Car parking automation is important in today's world for several reasons. Effective use of space, With the growth of urban areas and the increase in the number of vehicles, efficient use of parking spaces has become essential. Also, the demand for personal vehicles is on its high. Automated car parking systems provide convenience to drivers by eliminating the need to search for a parking spot. Drivers can simply drop off their cars at the entrance and the system will take care of the rest. Overall, car parking automation is a must in today's world because it provides an efficient, convenient, and safe parking solution that can help improve the quality of life in urban areas while reducing the environmental impact of driving. To overcome this issue numerous parking systems are available. But the problem with these parking systems is they require more space and are expensive. So, our project is dedicated to developing a fully automatic parking system. The other major problem we are facing today is Inefficient Premises Security Systems. A poor Security System can lead to several problems. If your security system is ineffective, it may be easier for burglars or other criminals to enter your home or business and steal your valuables. This can result in significant financial loss and may also put you and your family or employees at risk. Our Premises Security System keeps your home and your surroundings safe, deters crime and is quite helpful in an emergency. We automated it to make it much more secure and safe which will help us in maintaining the safety of the residences.

An Overview of Intelligent Parking Systems

With the development of Internet technology, intelligent parking system has been developed. China's intelligent parking management platform has been connected to the front-end parking points, integrating the parking points of the original information island into a parking network. Gather parking point data into a data center to comb and comprehensive data application provide parking operators scheduling management, financial management, operation analysis, marketing management, advertising management and parking service for owners to provide parking query parking reservation, parking path navigation, electronic payment, monthly, bill inquiry, convenient parking services. The MIT study leverages third-party services to parking recommender systems and provide personalized parking space recommendations for users according to past experience of the user Telecom Research Institute. Users are able to receive parking recommendations while maintaining privacy, because parking measurements weigh practicality against privacy. An intelligent multistory management system in parking depended on RFID technology and user preference review has been studied abroad, which effectively solves the problem of parking lot.

Exploring the treatment burden of disease-modifying anti-rheumatic drug monitoring in people with rheumatoid arthritis.

People with RA taking DMARDs require safety monitoring to identify potential side effects. The aim of this study was to explore the perspectives of patients and family members on DMARD monitoring and how the associated treatment burden could be minimized to optimize concordance and safety. Thirteen adults with RA on DMARDs and three family members participated in semi-structured telephone interviews between July 2021 and January 2022. Data were analysed using a framework method. Findings were discussed with a group of stakeholders to develop implications for practice. Two main themes were identified: (i) making sense of drug monitoring; and (ii) work involved in drug monitoring. Participants perceived DMARDs as necessary to reduce symptoms, with drug monitoring providing an opportunity for a holistic assessment of wellbeing. Participants expressed a preference for face-to-face consultations, which allowed them to share their concerns, rather than remote, often transactional, care. The limited availability of convenient appointment times, travel requirements and parking increased the work involved for patients and family members. Drug monitoring was accepted as a necessity of DMARD treatment, but increased the work for people with RA related to organizing and attending appointments. The potential for treatment burden needs to be assessed proactively by clinicians when a DMARD is commenced. Where identified, strategies for minimizing the treatment burden can form part of a shared management plan, including the offer of regular contact with health professionals, with an emphasis on person-centred care.

제주도 가구의 공동주택 주거 선호요인 분석

This study analyzed the factors of housing preference for multi-family housing for Jeju Island, where various types of housing coexist, and analyzed the factors of housing preference for each type of housing.
 The analysis results are summarized as follows. In the analysis of all respondents, it was found that the most important factor in the preference factor for multi-family housing was future capital gains. Second place is accessibility to convenience facilities (market), third place is access to cultural leisure facilities, fourth is sales price, and fifth place is access to public transportation. On the other hand, multi-household house, row house, and small size house were found to be low factors.
 By the type of housing lived, apartment residents were found to be the same as the analysis results of all respondents, and row house and multi-household house residents were found in order of access to cultural leisure facilities, access to convenience facilities (market), access to public transportation, privacy protection and security, and sale price. Residents of detached house were found to have access to cultural leisure facilities, future capital gains, access to convenience facilities (market), sale price, and parking convenience.