Parking Facilities Research Articles

Numerical investigation of the influence of thermal runaway modelling on car park fire hazard and application to a Lithium-ion Manganese Oxide battery

This article presents numerical simulations of a Nissan LEAF 2011 electric car fire inside a concrete parking facility. Variations in the thermo-chemical properties of thermal runaway are analysed, and the way they affect the heat received by the concrete structure and a nearby parked vehicle is evaluated. Three key parameters are identified: the composition of the gas flowing through the pressure vent, the associated flow rate, and the peak heat release rate. These parameters are established independently, and the model is closed by adjusting the stoichiometry of the combustion reaction of the vented gas. Four simulations are conducted to capture the uncertainty. The net heat flux and surface temperature on the concrete and on a neighbouring parked car are monitored during each simulation. The study includes a sensitivity analysis of the impact of input variables on the net heat fluxes and surface temperatures, and investigations are carried out to understand the role of internal heat release. Variations in the gaseous mixture composition, heat release rate, and internal heat release have little impact on the resulting thermal conditions around the burning car because the combustion of the polymers in the passenger cabin drives the total heat release rate.

IPA를 활용한 제주 향토음식점 선택속성의 중요도와 만족도에 관한 연구 - 제주 향토음식점 방문객을 대상으로

Objective : The purpose of this study is to provide basic data to foster local food on Jeju Island in response to increasing interest and comsumption of healty life after COVID-19. In addition, this study aimed to supplement the lack of research, which focused on Jeju Island and consumer perspectives, and provide strategic implications. Methods : For selection attributions, this study targeted consumers used local food restaurants on Jeju Island. In selection attributes which fits more with Jeju Island, this study conducted an in-depth interview with 3 experts. This study also used a total of 185(91%) copies for statistical analysis to conduct IPA analysis. Results : As a results of 31 selection attribute items, most of the items were distributes in the first and third quadrant. In addition, the price of the menu and convenience of the parking lot were placed in the second quadrant. Implications : This study holds academic value for deriving selection attributes that reflect regional characteristics through experts related to Jeju local food. “Food price” is expected to require future research and development to preserve local specialties and “convenience of parking facilities” is also expected to require the construction of additional parking towers and public parking lots.

Evaluating Policy Shifts on Perceived Greenspace Quality: Applying Regression Discontinuity During the COVID-19 Reopening Period

Abstract: Urban greenspaces have been essential in supporting residents’ well-being during the COVID-19 pandemic, particularly under strict lockdown measures. However, the impact of changing containment policies on residents’ perceived greenspace quality remains insufficiently explored. This study utilized online survey data collected between 11 October and 29 December 2022, in Shanghai, coinciding with the major policy shift on 5 December 2022. A probability proportionate to size sampling was adopted to survey residents aged 18 and above who had lived in the city for at least six months, yielding a total of 577 valid responses. We assessed residents’ perceived greenspace quality using 20 park- and community-level variables, focusing on both overall quality and specific features of greenspaces. A regression discontinuity design (RDD) was applied to evaluate how the lifting of the COVID-19 policies influenced residents’ perceptions of parks and community greenspaces. Our RDD estimation indicates no statistically significant change in residents’ overall perceived quality of parks after the policy shift, except for increased satisfaction with specific features such as plant diversity, maintenance, seating areas, trails, and large open spaces. In contrast, residents who responded after the policy shift reported a significantly higher perceived quality of community greenspaces compared to those who completed the survey before the shift (0.609 score difference, p < 0.01), with notable increases in satisfaction regarding plant diversity, maintenance, and seating areas. Perception of plant quantity remained unchanged in both types of greenspaces. Residents expressed greater satisfaction with sports facilities in parks, while community greenspaces were preferred for their water features and esthetic qualities. By adopting an RDD with a unique dataset, this study contributes empirical evidence to the current ongoing debate on the role of urban greenspace during the later stages of COVID-19. Specifically, it examines how changes in public health policy and the resulting increase in mobility might affect residents’ perceived greenspace quality. The findings can assist decision-makers and urban planners in developing more adaptive strategies to address the diverse needs of residents for greenspaces during the transitional period of a public health crisis.

Large language model as parking planning agent in the context of mixed period of autonomous vehicles and Human-Driven vehicles

Autonomous vehicles (AVs) are anticipated to revolutionize future transportation, necessitating updates to traffic infrastructure, particularly parking facilities, due to the unique characteristics of AVs compared to Human-Driven Vehicles (HDVs). During the transition period in which AVs and HDVs coexist, adaptable infrastructure is essential to accommodate both vehicle types. Traditional research, typically reliant on complex mathematical models and simulations, faces challenges in adapting to diverse urban settings, requiring substantial time and resources. To address these challenges, a government-level framework was developed, enabling urban planners to quickly and accurately evaluate and optimize existing parking facilities for future AV and HDV coexistence scenarios. The framework integrates a Large Language Model (LLM) to enhance flexibility and efficiency in parking planning throughout the transitional period. Structured guidance is incorporated to enhance decision-making precision and reduce LLM hallucination risks. The flexibility, robustness, and accuracy of the framework were validated through step-by-step and end-to-end testing using real-world datasets. Specifically, the framework achieved 91.1 % comprehensiveness and 70.2 % consistency in Indicator Selection Module testing, a 68.9 % success rate in the Single Indicator Calculation Module, and a 66.7 % success rate in end-to-end testing, demonstrating its practical value in supporting cities during AV integration. Finally, the success rates of different LLM agent modules were further explored, along with a comparison of multiple LLMs and an analysis of key issues related to LLM trustworthiness in urban planning applications. The research highlights the potential of LLMs in advancing urban planning processes and optimizing existing infrastructure, contributing to smarter and more adaptable urban environments.

The Great Death Valley National Monument Mission 66 Conspiracy (That Never Was)

In 1956 the U.S. National Park Service (NPS) launched Mission 66, a ten-year program to rebuild and improve infrastructure within hundreds of units of the National Park System, among them Death Valley National Monument in California. As elsewhere, plans in this unit centered on a visitor center, new employee housing, administrative and maintenance facilities, and campgrounds. The original plans developed for Death Valley were abruptly changed, leading to allegations that the NPS was involved in a deal with a resort in the park, in which the NPS would receive a land donation in exchange for overlooking illegal use of monument water by the resort. This Great Death Valley Mission 66 Conspiracy reached the ears of Congress, and in 1962 Congressional hearings were held to investigate these matters. The NPS director and many others were called to give testimony. This story gives a fascinating glimpse into the development of Mission 66 facilities in a large park, and how the plans for these facilities depended on an underlying geography of land ownership, water rights, dubious surveys, and expectations by faraway bureaucrats; these in turn reveal much about possibilities and limitations on opportunities for park development. The Mission 66 facilities in Death Valley have stood the test of time and remain central to visitation in the park to this day.

Location and Size Planning of Charging Parking Lots Based on EV Charging Demand Prediction and Fuzzy Bi-Objective Optimization

The market share of electric vehicles (EVs) is growing rapidly. However, given the huge demand for parking and charging of electric vehicles, supporting facilities generally have problems such as insufficient quantity, low utilization efficiency, and mismatch between supply and demand. In this study, based on the actual EV operation data, we propose a driver travel-charging demand prediction method and a fuzzy bi-objective optimization method for location and size planning of charging parking lots (CPLs) based on existing parking facilities, aiming to reduce the charging waiting time of EV users while ensuring the maximal profit of CPL operators. First, the Monte Carlo method is used to construct a driver travel-charging behavior chain and a user spatiotemporal activity transfer model. Then, a user charging decision-making method based on fuzzy logic inference is proposed, which uses the fuzzy membership degree of influencing factors to calculate the charging probability of users at each road node. The travel and charging behavior of large-scale users are then simulated to predict the spatiotemporal distribution of charging demand. Finally, taking the predicted charging demand distribution as an input and the number of CPLs and charging parking spaces as constraints, a bi-objective optimization model for simultaneous location and size planning of CPLs is constructed, and solved using the fuzzy genetic algorithm. The results from a case study indicate that the planning scheme generated from the proposed methods not only reduces the travelling and waiting time of EV users for charging in most of the time, but also controls the upper limit of the number of charging piles to save construction costs and increase the total profit. The research results can provide theoretical support and decision-making reference for the planning of electric vehicle charging facilities and the intelligent management of charging parking lots.

Comparative Analysis of Green Building Hospitals in Karawang and Pemalang

This study aims to analyze and compare the application of the green building concept in two hospitals in Indonesia, namely Permata Keluarga Karawang Hospital and Dr. M. Ashari Pemalang Regional General Hospital (RSUD). Using descriptive qualitative methods and case study approaches, data were collected through observation, interviews, documentation, and measurements in the field. The results show that both hospitals have applied green building principles in various aspects such as energy efficiency, environmental management, and B3 waste management. Permata Keluarga Karawang Hospital excels in the use of energy-saving technology and waste management, while Dr. M. Ashari Pemalang Hospital stands out in staff involvement and environmental management. However, there are still several aspects that need to be improved by both hospitals, such as bicycle parking facilities and rainwater intake systems, to achieve more optimal green building standards. In conclusion, both hospitals have shown a strong commitment to environmental sustainability through the implementation of the green building concept, but further improvements are still needed to achieve more optimal results.

An improved multi-objective method for the selection of driverless taxi site locations

To expedite the large-scale deployment of driverless taxis and advance the autonomous driving industry, research on the location of integrated parking and charging facilities for driverless taxis has emerged as a significant issue in urban traffic. This study employs a progressive “preliminary selection-screening-optimal selection” approach for site selection. First, the preliminary selection of parking sites is conducted by clustering various Points of Interest (POI) types. Subsequently, a multi-objective site selection model is developed to maximize the coverage of demand points, minimize construction costs, address the largest population demands, and minimize the distance between demand points and candidate sites. The improved genetic algorithm NSGA-II is adopted to obtain several Pareto optimal solutions. The evaluation indexes are selected according to operators, users, and the public transport system to estimate the Pareto optimal solutions, and then the final location solution can be obtained. The calculation methods of several key parameters are improved during the modeling process. Location potential and location influence coefficient are selected to adjust the number of driverless taxi parking spaces. Additionally, isochrones drawn based on the actual road network and path planning represent the service range of candidate points. Meanwhile, distance based on actual road network rather than Euclidean distance is introduced to calculate the distance between candidate points. Finally, a case study shows that the method proposed in this study could reduce the total initial travel time to reach the demand points by 64%, which is independent of operational scheduling.

Разработка комплексного показателя оценки состояния городского электротранспорта для органов исполнительной власти Российской Федерации

This article analyzes 115 cities on the territory of the Russian Federation in which one or more urban electric transport systems operate. It is determined that in the modern industry there is no single comprehensive indicator of the state of urban electric transport, which would allow an assessment of the state of systems not only in relation to their own indicators of previous years, but also in relation to other, similar systems. A comprehensive indicator is proposed that will allow a comprehensive assessment of the state of urban electric transport and interpret it in numerical terms for its application by state and regional authorities, allowing to quickly draw conclusions and make a decision on further adjustment of the functioning of the electric transport system, characterized by a relatively simple formula for calculation and does not require specific competencies for those conducting the analysis. The key indicators of urban electric transport are systematized, including those related to the operated energy infrastructure, linear infrastructure, park facilities, including technical buildings and structures for system maintenance, indicators related to rolling stock and its key technical characteristics, as well as the availability of urban electric transport for residents of the considered locality and passenger flows within this framework systems. The boundaries of the values of the final indicator have been determined, within which the state of urban electric transport will be assessed by state and regional authorities as satisfactory or unsatisfactory and requiring decisions on revising approaches to the development of the system within the framework of strategic transport planning documents.

An evaluative study on parking challenges and future demand forecasting at Kano Farm Center Market, Nigeria.

Parking involves stopping and disengaging a vehicle and leaving it unoccupied. Commercial centers require assistance in providing adequate parking facilities for vehicles to transport people, deliver goods, or conduct business transactions. Failing to meet the expected demand for parking can lead to frustration, safety concerns, and accidents. Our study involved conducting reconnaissance and surveys to assess parking demand and duration in the area. The objective was to provide valuable insights into the current urban transportation system, focusing on parking patterns and proposing a parking system specifically for Kano Farm Center Market. Our findings indicate an estimated annual growth rate of 10%, suggesting that in 15 years, the number of daily parkers will rise to 3,308. This means that more than the existing parking space of 2710 stalls will be required, and we recommend providing a larger area of 300m x 300m. This underscores the importance for urban planners and commercial center managers to invest in expanded and innovative parking solutions to enhance efficiency, safety, and accessibility for all users.

A Study on the Key Factors for the Sustainable Development of Shared Mobility Based on TDM Theory: The Case Study from China

This study is based on an investigation of shared mobility in Chinese cities, which identifies the factors affecting the sustainable development of shared mobility based on the theoretical framework of TDM (travel demand management). Through a literature review and expert interviews, the FUZZY-DEMATEL-ISM-MICMAC integration model was used to screen 21 influencing factors from aspects that fit the research theme. Triangular fuzzy numbers are used to quantify the subjective scores of nine expert groups and weaken the subjective influence of expert scores. The logical relationships among DEMATEL technology-building factors and ISM technology-based factors are divided into levels. The MICMAC technique is used to divide the types of factors according to the driving power and dependency. The results show that (1) the influence factors of the “soft strategy” and “hard strategy” in the framework of TDM are determined. In the soft strategy, we should focus on “shared mobility education” (shared mobility education, shared mobility publicity and shared mobility “environment” information) and “community organization” (community organization and advocacy and organizational interaction). In the hard strategy, we should focus on “traffic planning and measures”, “dedicated lanes”, “parking facilities”, and “financial subsidies”. (2) The ISM recursive structure model is divided into five layers. Among them, shared mobility education, shared mobility operating technology, and organizational interaction are at the deep root level, which can continuously influence other factors in the long run. (3) In MICMAC, the number of related factors is large. When making decisions on these factors, managers should comprehensively consider the correlation of factors and adjust the use of factors from an overall perspective. This study can help managers identify the key factors affecting the sustainability of shared mobility and make targeted recommendations.

Experimental Infrastructure Design for Energy-Independent Car Park Building Based on Parametric Photovoltaic Facade System

The purpose of this study is to develop a new architectural model that responds to environmental pollution. The subject of this study is infrastructure buildings related to automobiles, which cause environmental pollution. Parking facilities accommodate several vehicles, necessitating the design of large-scale parking infrastructure. In this study, the parametric design of an energy-independent building was developed targeting the facade of a large-scale parking facility. As basic research for the development of the parametric design, a parking building was planned toward the optimization of parking space. Based on this basic research, a kinetic photovoltaic facade was developed to achieve optimal renewable energy generation from the perspective of eco-friendly architectural design. Energy simulation using building information modeling (BIM) on the kinetic photovoltaic system developed in this study over a period of one year resulted in the generation of a total of 692,386 kWh·year−1. The novelty of this study is the development of a kinetic photovoltaic facade that is oriented according to the optimal tilt angle every month, focusing on the infrastructure. The significance of the kinetic photovoltaic system lies in the fact that it not only maximizes the efficiency of renewable energy generation but also presents a new architectural design model.

Parking Space Demand Study for Dondo Market, Tojo Una-Una District

The current parking space at Dondo Market is not effective because it still uses the road shoulder and is not well organised. When the market is busy, the parking area is full of two- and four-wheeled vehicles, spilling over onto the road, causing congestion and disturbing road users. Therefore, an analysis is needed to determine the ideal parking space requirements. The purpose of this study is to provide recommendations for parking space requirements and design its layout, as well as analyse traffic performance on Jl. Tj. Keramat before and after the parking facility. The results show that the market manager should provide potential land for off street parking. There is vacant land to the right and left of the market with a total area of 6,985 m2 which exceeds the current parking demand. If needed, there is still vacant land owned by the community around the market that can be developed as an additional parking area.

Elastic Local Buckling Analysis of a Sandwich Corrugated Steel Plate Pipe-Arch in Underground Space

In underground spaces, corrugated steel plate (CSP) pipe-arches may experience local buckling instability, which can subsequently lead to the failure of the entire structure. Recently, sandwich CSP pipe-arches have been used to enhance the stability of embedded engineering outcomes, and their buckling behaviors require in-depth research. In this paper, we establish a theoretical model by simplifying soil support and using Hoff sandwich plate theory to focus on the local buckling stability of the straight segment in embedded sandwich CSP pipe-arches using the Rayleigh–Ritz method. Through stability analysis, the instability criteria for embedded sandwich CSP pipe-arches are analytically determined. Numerical calculations reveal that the critical buckling load of a sandwich CSP pipe-arch is affected by several factors, including the elastic modulus, thickness, Poisson’s ratio, rotational constraint stiffness, and the length of the straight segment. Specifically, increasing the thickness of the sandwich CSP pipe-arch can substantially enhance the critical buckling load. Meanwhile, the wavenumber is affected by the elastic modulus and the length of the straight segment. The analytical results are in agreement with those obtained from finite element analysis. These findings provide a theoretical basis and guidance for the application of sandwich CSP pipe-arches in fields such as subway stations, tunnel construction, underground passages, and underground parking facilities.

Analysis of Actual Visitation to Amusement Parks and Recreational Facilities

Recreational facilities are widely regarded as one of the largest sources of and contributors to the tourism of countries worldwide. Given this, this study aimed to examine adults’ general behavioral intentions and actual visitation to amusement and recreational facilities. A total of 1367 adult and young-adult Filipinos voluntarily answered a self-administered survey consisting of measure items drawing on the extended theory of planned behavior framework. Structural equation modeling was employed for the simultaneous analysis of all latent variables and their causal relationships, and the marketing mix greatly affected the hedonic motivation and perceived behavioral control, leading to an indirect effect on behavioral intentions and actual visitation. Subjective norms and attitudes also had a significant direct effect on behavioral intentions and indirect effects on actual visitation. Interestingly, the marketing mix prompted a higher significant effect than behavioral intentions on actual visitation. It was implied that consumers are going to recreational facilities and amusement parks when they can visit an area, access a location, participate in different activities, and have enough resources. Businesses may capitalize on this finding in promoting their amusement parks and recreational facilities. In addition, they may highlight their location and space because they are among the highly significant measured items that the participants noted. The results of this study provides insights into the strategies, individual behavior, and motivation aspects. Implications and managerial insights are provided for the study’s adoption and extension worldwide.

KUALITAS PELAYANAN PUBLIK PADA KANTOR KEMENTERIAN AGAMA KOTA PADANG

The research method used is descriptive qualitative research that aims to describe research conducted on natural objects. The sampling technique uses purposive sampling technique. Data collection techniques used are observation, interviews and documentation. This research was conducted at the Office of the Ministry of Religion in Padang City. The focus in this study is on public service indicators including reliability, responsiveness, assurance, empathy, tangibles.Conclusion 1.) The quality of public services at the Office of the Ministry of Religion of the City of Padang is still not good, that is, there is a guarantee that the public has doubts about the officer's promise to complete the letter given. Because it was not completed on time according to the time said by the officer. then the physical evidence in terms of the completeness of the infrastructure such as laptops, printers and other assistive devices, is further upgraded and added according to the existing officers. The wifi network is not fast enough and wifi is not provided free of charge to the public. the parking facilities are quite wide but inadequate, there is no distinction between guest parking and the officers, The waiting room is quite adequate because inside there is air conditioning and the service desk has attendants, but there are still not enough seats for people who come more than ten a day while there are ten chairs. 2.) The factors of the quality of public services at the Office of the Ministry of Religion of the City of Padang are still not good, namely in terms of existing facilities such as inadequate parking because there is no difference between guest parking and officers, and also the existing parking has been filled with vehicles officers only while guests only park outside. The waiting room inside needs to change the location and add chairs so that no one is standing in line. the waiting room outside the service desk, if there are no officers working, it's better to just remove it and add chairs and need a fan / air conditioner. For wifi, a password and token must be given for free for people who come.

Experimental and numerical studies on hydrogen leakage and dispersion in underground parking garages: Impact of leakage direction on safety considerations

Hydrogen leakage in confined spaces poses significant safety risks in hydrogen energy applications, potentially leading to fires and explosions. This paper focuses on the accident scene of hydrogen leakage and dispersion in underground parking garages. A medium-scale model (1/10) of an underground parking garage is designed and built to study the characteristics of the dispersion of hydrogen leaked from hydrogen fuel cell vehicles (HFCVs) in underground garages using experimental and numerical simulation methods. This paper focused on analyzing the dispersion characteristics of hydrogen leaked from hydrogen fuel cell vehicles (HFCVs) within these environments, with particular attention given to the influence of leakage direction—upward, horizontal, and downward—on hydrogen concentration distribution over space and time. For instance, it was observed that under equivalent flow rates, upward leakage tends to result in higher hydrogen concentrations at the leakage site. Conversely, downward leakage promotes wider hydrogen diffusion around the source, particularly evident at higher flow rates. Horizontal leakage, comparatively, exhibits lower risk due to greater air volume absorption. Complementing the experimental data, numerical simulations revealed consistent patterns in hydrogen diffusion. Specifically, the simulations illustrated a cyclic accumulation-diffusion-accumulation process. Notably, vertical upward leakage demonstrated the largest volume of regions exceeding a 4 % hydrogen volume fraction, whereas vertical downward leakage resulted in the greatest volume of regions surpassing an 18.3 % hydrogen volume fraction. This disparity arises from hydrogen accumulation beneath the vehicle in cases of vertical downward leakage. Conversely, regions of high concentration induced by horizontal leakage were the smallest. The study offers valuable insights for the design and construction of HFCVs and parking facilities, providing a theoretical framework for enhancing safety measures.

Does Parking Type Preference Behavior Differ According to Whether It Is Paid or Free? A Case Study in Istanbul, Türkiye

Parking behavior depends on drivers’ choice of parking type and willingness to pay for parking. Generally, the parking type refers to off-street and on-street parking facilities. The main factors affecting the preference for parking types are driver, vehicle, travel, and parking characteristics. Understanding drivers’ parking type preference behavior and accurately modeling drivers’ tendencies helps develop sustainable parking management policies. This study examines the parking preferences of drivers in Istanbul with binary logit models according to whether they pay for parking. The results of the models show that the number of factors influencing parking type preference is higher for free parking than for paid parking, including driver, vehicle, travel, and parking characteristics. Moreover, some factors in the models affect drivers’ parking type preferences differently for paid and free parking. Namely, low-income individuals tend to use on-street parking when parking is free and off-street parking when it is paid. Conversely, individuals who drive small-size vehicles prefer off-street parking for free parking and on-street parking for paid parking. Individuals who prefer off-street parking for free parking expect shorter walking distances to the final destination and parking duration. On the contrary, individuals who choose on-street parking for paid parking anticipate shorter walking distances to the final destination and parking duration.

A Decision-Making Framework for Sustainable Highway Restaurant Site Selection: AHP-TOPSIS Approach based on the Fuzzy Numbers

This research work indicates the site selection problem for a restaurant beside the highway. It is really challenging as well as demanding work. It mainly depends on the cost of the selected location, transportation, parking facility, hygienic atmosphere, distance from the city, etc. In this paper, the proposed site selection problem is constructed and solved by using a fuzzy MUlti-Criteria Decision Making (MCDM) process. The two methods of MCDM, that we use here namely the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for calculate criteria weight and rank the proposed restaurant locations, respectively. Multiple decision makers (DMs) opinions are considered for data collection and Trapezoidal Fuzzy Numbers (TrFNs) are taken as uncertainty tools to deal with uncertainty. Finally, we perform the sensitivity and comparative analysis performed to verify the system's vagueness and flexibility.

Analisis Kinerja Operasional Light Rail Transit (LRT) Stasiun Demang Kota Palembang

This research examines the operational performance and user satisfaction of the Light Rail Transit (LRT) mass transportation system in Palembang City, particularly on the LRT Demang Lebar Daun station corridor. The study involves the collection of primary and secondary data, including passenger numbers, waiting times, travel intervals, and travel times. The research results indicate that the average number of passengers per LRT station is approximately 10 passengers, resulting in a load factor ranging from 9% to 11%. While passenger comfort levels are relatively high, this low ridership may impact operational efficiency. The waiting times and travel intervals of the LRT are relatively short, enhancing passenger comfort, but warrant operational considerations. Furthermore, the study notes that the round-trip travel time on the LRT is approximately 2 hours, 33 minutes, and 57 seconds. However, limited parking facilities at the Demang Lebar Daun station can affect the interest in using the LRT. In order to improve operational performance and user satisfaction of the LRT, this research recommends an evaluation of travel intervals, waiting times, and daily LRT trip numbers. Additionally, improvements in parking facilities at LRT stations should be considered to enhance the convenience of using this mode of transportation.