Parking Problem Research Articles

Can Autonomous Vehicles Solve the Commuter Parking Problem?

This paper investigates how autonomous vehicles (AVs) may change the morning commute travel pattern and improve downtown parking. We develop a continuous-time traffic model that takes into account key economic deterrents to driving, such as parking fee and traffic congestion, and characterize the departure time and parking location (downtown or outside downtown parking area) patterns of commuters in equilibrium. To illustrate our results, our model is calibrated to data from Pittsburgh. For the calibrated model, our analysis shows that all AV commuters choose to park outside downtown, increasing both vehicle hours and vehicle miles traveled as compared to the case with all human-driven vehicles. This change increases the total system cost and suggests a potential downtown land-use change (e.g., repurposing downtown parking spots to commercial and residential areas) in Pittsburgh after mass adoption of AVs. To reduce the total system cost, a social planner may be interested in regulating commuters’ decisions by adjusting parking fees and/or imposing congestion tolls as a short-term measure, or adjusting infrastructure, e.g., converting downtown parking spaces to curbside drop-off spots for AVs. Our results indicate that these measures can reduce the total system cost substantially (e.g., up to 70% in our calibrated model).

SRSP: A Secure and Reliable Smart Parking Scheme With Dual Privacy Preservation

Finding an empty parking lot in a downtown or busy area is difficult and time consuming. Smart parking services enable vehicles to obtain real-time parking information, which has great potential to mitigate the parking problem. Compared with the existing parking methods, the cooperative parking information sharing based on vehicular crowdsourcing has lower cost and higher accuracy. However, vehicles face the threat of identity and trajectory privacy leakage. In order to provide secure and reliable parking service, we propose a secure and reliable smart parking scheme (SRSP) with dual privacy preservation. Specifically, a novel group signature technique can be equipped to achieve anonymous authentication among vehicles, parking server, and fog node. Meanwhile, the mix zone method combined with differential privacy can be utilized to hide the vehicles' trajectory. Moreover, message-lock encryption technique enables fog node to detect and delete duplicated reports to reduce the computational overhead of parking server. An incentive mechanism is proposed, which can not only reward contributing vehicles but also prevent the same vehicle from getting multiple rewards. In addition, the trust model is designed to evaluate the reliability of vehicles based on direct trust and recommendation trust. Finally, security analysis demonstrates that SRSP can achieve security objectives. Performance evaluation shows that SRSP has lower computational overhead compared with the existing schemes.

Analysis on cruising process for on‐street parking using an spectral clustering method

Parking problems caused by a lack of parking spaces have exacerbated traffic congestion and worsened environmental pollution. An analysis of the cruising process for parking can provide new perspectives to reduce cruising. Based on a parking survey conducted in Beijing, the authors collected a large amount of trajectory data of cruising vehicles. Then, fluctuation indexes of trajectories were proposed to analyse travellers’ cruising processes for parking. The spectral clustering method based on a hidden Markov model (HMM) was used to recognise the cruising trajectories. The recognition performance for three-dimensional trajectory data is better. Cruising trajectories for Clusters 1, 2, 3, 4, and 6 have large fluctuations and a weightier effect on road traffic. These groups can be taken as target groups for intelligent parking guidance and recommendations. The recognition accuracies for parking location and parking status increase with increasing intercepted trajectory lengths. 150 m from far to near the desired destination can be used as a threshold of the cruising trajectory length to accurately predict travellers’ parking location and status. These research results can be applied in intelligent parking systems to dynamically predict parking situations, formulate parking guidance schemes and information release strategies, and improve parking efficiency.

Online operations strategies for automated multistory parking facilities

Parking at megacities has become a major problem that is garnering increasing attention. The fundamental cause of the parking problem is the imbalance of demand and supply in core areas, where parking demand is high but parking provision is limited owing to exorbitant land prices. The idea of multistory parking facilities is proposed to serve larger parking demands with fewer land possessions. The newly developed automated multistory parking facilities are able to pick-up and place cars on different stories automatically. This paper proposes online operations method (OOM) of automated multistory parking facilities in response to intensive parking demands to reduce customers’ waiting time. The proposed online optimization model is composed of two tiers: in the first tier, a reinforcement learning framework is adopted to determine parking spot selections for incoming parking demands, and the second tier executes the plan acquired from the first tier by optimizing the action sequences of the automated elevator. Numerical experiments with multiple demand patterns are conducted to verify the proposed methodology. The results show that the learned strategy distinguishes from common practice in that it shows non-greedy patterns for some time during the day, and achieves significant improvements in various cases.

Competing for congestible goods: experimental evidence on parking choice

Congestible goods describe situations in which a group of people share or use a public good that becomes congested or overexploited when demand is low. We study experimentally a congestible goods problem of relevance for parking design, namely how people choose between a convenient parking lot with few spots and a less convenient one with unlimited space. We find that the Nash equilibrium predicts reasonably well the competition for the convenient parking when it has few spots, but not when it has more availability. We then show that the Rosenthal equilibrium, a bounded-rational approach, is a better description of the experimental results accounting for the randomness in the decision process. We introduce a dynamical model that shows how Rosenthal equilibria can be approached in a few rounds of the game. Our results give insights on how to deal with parking problems such as the design of parking lots in central locations in cities and open the way to better understand similar congestible goods problems in other contexts.

Solving traffic congestion consequences regarding e-taxi parking by identifying a suitable location for the e-taxi station: geo-spatial and AHP approaches

Purpose The quantity of e-taxi in Bangladesh is increasing day by day, especially in the municipality area. With the increase of this e-taxi quantity, it becomes hard to provide parking space for these consequences the illegal parking on road. This parking consequences traffic congestion on the road and obstructs the free flow of traffic. So, this paper aims to investigate the present scenario of this e-taxi parking problem and provides a solution by finding out a suitable location for an e-taxi station by the analytic hierarchy process (AHP) approach. Design/methodology/approach For the study, both primary and secondary data were collected. Primary data on existing parking points on the road of e-taxi which consequences traffic congestion are collected from the Municipality area. Secondary data on the existing road network of the Pabna Municipality has collected from the MIDP data also from the literature review. For the suitability analysis process for establishing an e-taxi station, six variables were determined. These variables are determined from the previous studies and the expert opinion survey. The six variables are land use of the study area, road network of the study area, proximity to the office area, proximity to the educational facilities, proximity from the market and finally,proximity from the hospital. After the selection of the variables ranking value was determined from the expert opinion. Then using The AHP method final weight value is determined and, finally, with the assist of geographical information system. Findings From the resulting total 4,285 spots were found as optimally suitable spots are found which is almost 21% of the suitable spot. No mostly suitable spots are found from the GIS analysis. The moderately suitable spots were found in the prime number of 14,817 spots, almost 75% of the suitable spot. Likely the most suitable spots no partly suitable spots were found but the number of very few suitable spots was found in the number of 918, 4% of the suitable spot. A total of 20,020 spots was found as suitable for the construction of E-taxi station. Originality/value Finding out a suitable spot for e-taxi stand the traffic congestion can be solved, accident risk can be minimized during loading and unloading of passengers and the municipality authority can find a permanent solution for the traffic congestion problem.

PROBLEMS OF PARKING FORMATION IN THE CONDITIONS OF INTENSIVE HOUSING

The article is devoted to revealing the problems of parking formation in the conditions of intensive housing construction. The article outlines the problems of formation, substantiates the need to review existing approaches to the architectural and spatial organization of parking lots in residential buildings. In the process of urbanization, the problem of efficient use of space for intensive housing and the formation of parking lots in its conditions becomes more relevant than ever. In the period of post-industrial development of the urban environment in the middle of the twentieth century. in connection with total motorization there is a need to create modern, environmentally friendly parking lots, which currently our cities are practically not equipped. Particularly acute is the issue of parking space in residential areas where there is a problem of chaotic parking due to improper organization of parking areas, which leads to a narrowing of the width of the carriageway; reducing the capacity of the road network; complicating the passage of special equipment (garbage trucks, fire trucks, ambulances, etc.). Construction of new housing in larger cities is mainly high-rise intensive construction, as the most profitable option for developers, who in turn pay little attention to the organization of parking lots. At present, cars are stored in the most inappropriate places: on sidewalks, lawns and even on playgrounds. Spontaneous parking in residential areas of cities leads to a sharp decrease in sanitary and hygienic indicators of the urban environment and to a negative impact on the health of citizens. The emergence of a large number of unorganized parking lots in residential areas leads to the degradation and destruction of landscape components of the urban environment, the territory of which is "captured" by car storage spaces. Given that despite the annual increase in the number of cars, our country still lags far behind more developed countries in this regard, the existing level of motorization turns urban housing into unorganized parking lots, which indicates the unresolved issue, as in theoretical , and in practical terms. The formation of comfortable and safe living conditions in the living environment is one of the priorities of urban planning, so the architects faced the task of solving the problem of forming parking lots in the existing intensive housing and developing new architectural and planning solutions for residential complexes with parking lots to build residential buildings. cramped areas with sufficient parking spaces.

Indoor Parking Method Based on Cooperation of Intelligent Vehicle and Parking Lot

This paper designs an intelligent vehicle-parking lot cooperative indoor parking system architecture and a multi-vision sensor-based indoor vehicle detection and localization method to solve parking problems in large parking lots. The system consists of a parking lot sensor group, a parking lot server, and an intelligent vehicle terminal. The communication between the intelligent vehicle terminal and the parking lot is established through V2X technology. Sensors and parking lot servers are deployed in the parking lot to complete indoor vehicle positioning and parking space management. The intelligent vehicle terminal initiates parking/leaving requests and positioning requests to the parking lot. The parking lot server provides the parking lot real-time map, parking space information and localization information to the intelligent vehicle terminal, so as to complete the parking navigation or automatic parking in the indoor parking scene through the cooperation of the intelligent vehicle terminal and the parking lot. This paper verifies the effectiveness of the method and system developed in this paper through real parking scene experiments.

Choice behavior of tourism destination and travel mode: A case study of local residents in Hangzhou, China

The social and economic growth as result of promoting the rapid development of tourism in China has brought tremendous pressure on the urban transportation systems. Research of travel behavior concerning the characteristics of tourists has provided effective information for transportation planning. Due to different city plans, public transportation system design, car parking design and management, etc., the local situation in developed countries differs from the counterpart in China. However, little research has studied the factors influencing the choice of travel destinations in tourism. The research aims to study the tourism destination and mode choice behavior of tourists and provides suggestions to improve tourism transportation service system. An online questionnaire survey is used to collect data including the travel characteristics and personal attributes of local tourists in different holidays in Hangzhou, China. A multinomial logit model is constructed with the trip destination set as the dependent variable. Results show that age, residential type, car ownership, companion type and holiday length have a significant impact on destination choice. To determine what influences modal choice for such trips, a second logit model is established with travel mode set as the dependent variable with the explanatory variables of age, gender, companion type, car ownership, holiday length and travel destination found to be significant. The results demonstrated that people aged 26 to 44 prefer suburban areas, and they are the main group driving to their travel destination. Public transport use frequency decreases when the destination is located outside of the main tourist area. Finally, suggestions have been proposed to mitigate the congestion and parking problem based on model analysis from the perspective of the bus line setting, transfer improvements, and the policy to limit cars, respectively.

Bicycle parking at train stations in the Netherlands: Travellers' behaviour and policy options

The combined use of bicycles and trains is a popular means of transport in the Netherlands, experiencing strong growth in recent years. This development is in line with the Dutch Ministry of Infrastructure and Water Management's policy goal of promoting cycling as a stand-alone mode, and in combination with trains. Such active travel policies generate social benefits, such as improved public health, reduced emissions and less congestion.The success of combined bike and train use in the Netherlands however has unresolved issues. Due to overcrowded bicycle storage facilities at large train stations, many bicycles are parked outside these facilities, resulting in public nuisance and inefficient use of space in the areas around train stations. Concurrently, the continued growth of combined bicycle-train use is desired. The policy question therefore is how to facilitate growth while accounting for the current bicycle parking problem. In tackling this challenge, this paper aims to shed more light on the bicycle parking behaviour of bicycle-train travellers.In cooperation with Dutch National Railways, train travellers were given a questionnaire designed to elicit information about their travel behaviour during the two-week period preceding the questionnaire's completion date. More than 3000 questionnaires were completed. Descriptive statistics and binary logit models were used to analyse the resulting data.We found that the privately owned bicycles used on a train trips' activity-end (the so-called ‘second bicycles’) were parked at train station parking facilities approximately four times longer than bicycles used at the train trips' home-end station. Initial estimates revealed that these second bicycles accounted for at least 45% of the bicycle parking pressure witnessed at all train stations in the Netherlands. We also found that among second bicycle owners, low-frequency train use, and using activity-end train stations located in suburbs, are positively associated with long term bicycle parking on the activity-end. Moreover, of all the times bicycles are parked, approximately 10% of activity-end bicycles, and 20% of home-end bicycles, are parked unguarded outside of train station parking facilities. There is a lower probability of home-end bicycles being parked outside of bicycle parking facilities at small train stations than at large stations.Possible solutions to the bicycle parking problem include offering more shared bicycles as alternatives to second bicycles, striving to ban second bicycles from racks situated close to train platforms (by means of pricing and enforcement), and locating parking spaces specifically designated for second bicycles further away from train platforms. This would free up parking spaces close to platforms for home-end bicycles, which are more frequently rotated in and out. Additionally, to further alleviate the parking problem, an awareness-and-warning campaign could be directed at those who wrongly park their home-end bicycles.

A Study about Urban Design Schemes: Walled City of Nicosia

Historical neighbourhoods are among the most significant indicators of the cities; as they involve history, culture, architecture and social life. It is very important to protect and ensure sustainability of these places. This goal needs to be achieved without damaging the urban identity via protecting the historic entities. Additionally the restoration and re-use works need to take place under the supervision and cooperation of related government bodies and civil society organisations. Nicosia with its Walled City is a historical environment with a rich architectural and cultural heritage that is currently the focal point of conservation and rehabilitation activities as a circle of urban design implementations. Within this framework in this study, the aim is to evaluate perception and views of the users about urban design implementations involving rehabilitation and conservation activities via survey. Based on the results, the users seemed satisfied with the outcomes of the rehabilitation and re-use of the buildings. However the participants also highlighted the existence of car parking problems, inadequate infrastructure and urban furniture and environmental pollution. Additionally the users do not prefer the areas that have not been renovated and the regions with low socio-cultural characteristics.
 Keywords: Historical environment; urban design; user perception; Nicosia Walled City

Research on innovative design of vehicle loading plate for non avoidance stereo garage based on ARIZ

As a form of garage with simple structure and convenient installation, non avoidance stereo garage is widely used in densely populated places such as shopping malls and hospitals. It can effectively improve the land utilization rate in a narrow space, which is of great significance to solve the parking problem. In this paper, the ARIZ algorithm of TRIZ is used to deeply study the car loading plate of non avoidance stereo garage in the market, and analyze the shortcomings of its existing structure. According to the process of ARIZ algorithm solving the problem, the nonstandard problem is transformed into a simple problem model, and the ideal solution is conceived. Using the conflict matrix and 40 invention principles, a new type of vehicle loading plate for non avoidance stereo garage is designed Vehicle loading plate structure.

Mixed applied survey methodology for planning/enforcement of urban logistics delivery bays– An application to the Moroccan context

Roads and parking areas represent a place of conflict between freight vehicles and other urban activities, especially on mixed residential and commercial streets. This conflict results in traffic congestion, illegal parking, pollution and road safety problems. The challenge is to allocate public space between the right operating activities, parking activities, public transport and so on. To address that, urban logistics delivery bays, also known as loading/unloading (L/U) zones, have become a real solution to facilitate the delivery and pick-up operations of urban freight vehicles, ensure accessibility for delivery drivers, reduce congestion and improve road safety. Therefore, this paper reports on planning and enforcement of urban delivery bays needs. It is part of the urban freight transport (UFT) surveys. This involves consolidating with new contribution the development, implementation and statistical analysis of a survey in order to quantify the need of delivery areas. Compared to the existing literature, this paper presents a mixed applied methodology which is divided into two parts : “Exploratory survey” and “Establishment-vehicle observation” survey. These two surveys techniques were conducted to offer an overview of the freight vehicle delivery and pick-up frequency according to the daytime and weekdays and the operations related to the loading/unloading activities. This makes it possible to estimate the delivery bays requirement in the study area. The findings from a methodological and practical angle are illustrated through a real case study in a commercial street in Morocco. The findings suggest that 60% of deliveries are made between 8:00 A.M and 12 A.M, and the movements generated by each establishment are 257 movements. For this, the study zone requires the development of three loading/unloading (L/U) bays. The main contribution is to propose an approach that urban authorities can use to estimate urban delivery areas efficiently and thus allow simple replication of the proposed framework in other cities.

PROBLEMS OF TRANSPORT FORMATION AND PEDESTRIAN INFRASTRUCTURE OF A LARGEST CITY IN THE XXI CENTURY

The article describes the features of the study of transport infrastructure, which is due to the transformation of socio-economic conditions that cause a change in the role and place of man in the modern world, diversify and lead to a rapid change in his needs in the material and spatial environment. All this determines the need to recon-sider the existing approaches to the architectural and spatial organization of the city environment. The formation of the architectural environment taking into account the different needs of different social groups became the main in architectural and urban planning. However, so far, unfortunately, very little attention is paid to the humanistic and artistic aspects of the formation of the material and spatial environment of modern man, containing the transport and pedestrian infrastructure of the city. Although these objects and problems of formation of the archi-tectural environment the citizen faces daily. New and rather complex problems caused by the action of scientific and technological progress and the development of motorization of the population, which can be formulated as «transport and city», «car and city», «architecture and transport», are becoming more and more important. Rapid spatial growth of cities, a multiple increase in the urban population and the area of built-up areas, extensive de-velopment of suburban areas raise both the problems of organizing transport systems and the problems of parking and storage of individual vehicles. As the territories develop with the help of the city's transport infrastructure, it is becoming increasingly clear that nature's resources are not coping with the extensive use of its lands. The total number of cars tends to increase significantly. Mass motorization creates a huge number of interre-lated problems: social; economic; environmental; sanitary and hygienic, etc. Large and largest cities, which were built in the early to mid-twentieth century in anticipation of the devel-opment of mainly public transport to serve passengers, are not designed to increase the growth of the fleet of indi-vidual vehicles. Individual vehicles are increasingly absorbing the open spaces of the city, making it difficult for people to come into contact with the natural environment. Today, cars are stored in the most inappropriate places: on sidewalks, lawns and even on playgrounds. The population of cities is increasingly feeling the crisis of the architectural environment, covering places for car storage, the inconvenience of using parking lots, the constant conflicts of movable and immovable vehicles. Street injuries are growing. The impact of vehicles, in particular their parking, often leads to the dehumanization of urban spaces, discomfort and the ecological crisis of the urban environment. Keywords: transport, transport and pedestrian infrastructure, modern city, humanization.

Christmas markets in city centers: how do they impact local residents and businesses?

PurposeChristmas markets have more recently become important tourist attractions in Europe. The purpose of this study is to understand how does this recurring event impact local businesses and residents. The research focuses on the city of Cluj-Napoca, Romania.Design/methodology/approachThis study used both quantitative and qualitative methods. First, a survey was conducted with local residents to evaluate the impact of the Christmas market on the local community. Residents’ perception of social impacts was ascertained by using a five-point Likert scale. The data collected was then processed using the SPSS software. Second, to assess the impact of the Christmas market on the businesses located in the city’s historic central square, semi-structured interviews with managers and front-line employees were conducted. In total, 21 people were interviewed for this study. The interviews were then transcribed, and the content analysis was applied to the textual data.FindingsThe study found that both residents and local businesses have a positive attitude toward the Christmas market. The only negative impact, identified by a segment of the population and some companies, was crowding of public spaces (including parking problems and traffic jams).Originality/valueThis study is novel in that, with one exception, there are no studies on the community impacts of Christmas markets. Moreover, to the best of the authors’ knowledge, this is the first study on Christmas markets in Romania and one of the very few in Eastern Europe.

Investigating private parking space owners’ propensity to engage in shared parking schemes under conditions of uncertainty using a hybrid random-parameter logit-cumulative prospect theoretic model

Shared parking allows the effective use of undersupplied parking spaces and contributes to the alleviation of urban parking problems, traffic congestion, environmental pollution, and other negative externalities of traffic. However, little is known about the acceptance of shared parking by consumers of a different socio-demographic profile. To understand the feasibility and potential success of shared parking, this paper develops a stated choice experiment with three choice options: fixed mode shared parking, flexible mode shared parking and not interested, to investigate parking space owners’ propensity to engage in shared parking under varying conditions. Because the demand for shared parking is uncertain, the revenues owners may generate are uncertain. As one of the most popular theories of decision making under uncertainty, the cumulative prospect theory is incorporated into a multinomial logit model to capture the decision problem in which some variables are uncertain and others are not. The revenue that owners expect shared parking can bring is used as the reference point to differentiate between gains and losses. Gains refer to outcomes that exceed the reference point, while losses refer to outcomes that fall short. To examine unobserved heterogeneity, a random parameter version of the model is specified to estimate the distribution of decision weights across the sample. Results show that socio-demographic characteristics, context variables, revenues and psychological concerns are all important factors in explaining parking space owners’ propensity to engage in platform-based shared parking schemes. Incorporating unobserved heterogeneous improves the overall goodness-of-fit of the model. Understanding parking space owners’ propensity to share their parking spaces in relation to their psychological concerns and uncertain conditions is critical to improve shared parking policies. The results of this paper may help designers and planners in the delivery of shared parking services and promote the success and future growth of the shared parking industry.

Low power consumption and reliability of wireless communication network in intelligent parking system

With the rapid increase in the number of vehicles in our country, parking and parking management are becoming more and more difficult. Use information technology to improve the use of parking spaces and improve the efficiency of parking management, it is an effective way to alleviate the parking problem. In 2015, the research on "Internet + parking" accelerated rapidly in China. And various intelligent parking system models are introduced. Firstly, the parking conditions at home and abroad are studied, and the existing parking systems are analyzed. It is found that the current parking system can hardly be used in public parking areas such as residential areas, roadside and square. In order to solve the core part of intelligent parking system in public parking IoT Low energy consumption parking space control. Using new detection technology, parking lock control technology, wireless sensor network technology, solar charging technology, power management technology. Parking space detection module, parking lock control module and wireless sensor network module and power control management module with additional solar charging are designed. There are three problems specifically for intelligent parking in public parking lots: parking detection and automatic control, low-energy wireless signal transmission, efficient power management, effectively improve the performance of intelligent parking system and reduce energy consumption. This paper uses advanced wireless technology to construct and design intelligent parking system. Through the research on the development and management characteristics and application examples of intelligent transportation in developed countries such as Europe and America, based on China's basic national conditions and advanced wireless communication technology, radio frequency technology and computer technology research, establish an integrated system. Finally, the performance and power consumption of the intelligent parking system are tested, to ensure the feasibility of the system, this kind of system has certain application value in the scenario of resource sharing and intelligent management of public parking spaces.

Parking Assist using Convolution Neural Networks

Parking vehicles are one of the most frustrating tasks that people face these days. Locating an available parking space is a huge headache especially in urban areas. This paper aims to design one such parking system which, in many ways reduces the hassles of parking. The paper presents a system where a Machine Learning model, Convolution Neural Network(CNN) is used to classify parking slots in a parking space into vacant and filled slots. In order to optimize the task of classification, the method of Transfer Learning is implemented in the paper. The problem of parking stands not only limited to causing inconvenience to the drivers, but also escalates to much larger and extensive problems, affecting a lot more people the environment. Hence it is very important to have a system is used parking system in place. The model proposed in the paper sends across parking information to a driver well in advance, there by greatly reducing the waiting time for the vehicle.

Automated stereo-garage with multiple cache parking spaces—Structure, system and scheduling performance

Stereo garage is kind of large capacity parking equipment to alleviate the parking problem. In order to reduce the construction cost and improve the garage performance, this paper introduces an automated stereo-garage with multiple cache parking spaces. The structure of the garage is simplified into a stacker and several storage units, and multiple cache parking spaces are set up. Two scheduling strategies are designed to improve the efficiency of the garage and reduce the process time consumption of customers, respectively. The running time under these two strategies is expressed mathematically, followed by the input data of the garage and its analyzed statistical regularity. Subsequently, operation processes of the garage during busy periods are simulated, and its service performance is analyzed by means of queuing theory. Results and comparisons show the superiority of the proposed garage system, and combined scheduling recommendations are provided for improving the overall working performance of the equipment.

Implementasi Peraturan Bupati Gianyar Nomor 57 Tahun 2018 terhadap Penyediaan Fasilitas Parkir di Kawasan Pariwisata Ubud

Changing the habits of tourists and the community using the road as a parking lot is still considered truly difficult. Efforts made by the government, such as providing a parking center and firm action for offenders who still use the road as a parking lot in the Ubud tourism area, have also not been able to solve this problem. The problems discussed in this study are the effectiveness of the implementation of the Gianyar Regent Regulation (Perbup) Number 57 of 2018 related to the provision of parking facilities in the Ubud tourism area and the factors that influence the occurrence of parking violations in the tourism area. The research was designed using empirical legal research which is also known as field research. The results of the study reveal that the effectiveness of the implemention of the Gianyar Perbup Number 57 of 2018 related to the provision of parking facilities in the Ubud tourism area has not been effective because of the many parking problems existing in the area. The factors influencing the occurrence of parking rules violations in the parking area include internal factor and external factor. Firmness from the implementing agency of the Perbup is needed so that the regulation can be more effective and the vehicle owners are expected not to park their vehicles carelessly.