Service Level Research Articles

Prediction of Noise Reduction Effect of Sound Barriers and Evaluation of Noise Annoyance

This study was conducted to assess noise annoyance following the installation of various types of sound barriers on elevated roads and to forecast the noise reduction effect. The level of annoyance was evaluated using a five-level linguistic rating scale, and noise values were anticipated for each floor of the building using Cadna/A software based on different road service levels. The results showed that for each service level road, the sound barrier’s noise reduction impact was most pronounced at heights of 3.5–5[Formula: see text]m, and the ratio of the acoustic barrier’s length extension to its distance from the building should not be greater than 4:1. After comparison, it was found that the fully enclosed sound barrier has the best noise reduction effect. Additionally, the noise annoyance level varied significantly at different service levels, with 60.5[Formula: see text]dB chosen as the noise threshold value. This study could offer an optional path for noise reduction facility design.

Investigating the Impact of Additional Congenital Malformations on Speech Outcomes at age Five in Children with a Cleft Palate.

To determine whether children born with a cleft palate ± lip (CP ± L) and additional congenital differences (ACDs - including 'Congenital malformations and deformations' as coded in ICD-10), are less likely to meet the three national speech outcome standards at age five compared to children with CP ± L and no ACDs. An observational study, utilizing national data from the UK Cleft Registry and Audit NEtwork (CRANE) Database linked to national administrative data of hospital admissions. National Health Service, England. 2191 children (993 female, 1198 male) with CP ± L, born 2006-2012 in England, with complete speech data and consent to data linkage. Perceptual speech analysis utilised the Cleft Audit Protocol for Speech - Augmented (CAPS-A) rating and United Kingdom National Speech Outcome Standards (Speech Standard 1 (SS1), Speech Standard 2a (SS2a) and Speech Standard 3 (SS3)). Of 2191 children, 759 (35%) had at least one ACD. Presence of one ACD did not significantly impact speech outcomes but two or more ACDs reduced the odds of achieving all three speech standards: SS1 aOR 0.602 (CI 0.45-0.82, P = .002), SS2a aOR 0.563 (CI 0.41-0.77, P = .001), SS3 aOR 0.606 (0.43-0.84, P = .003). When exploring ACDs by ICD-10 groupings, congenital malformations of the 'Eye, ear, face and neck', 'Circulatory system', 'Digestive system', 'Musculoskeletal system' and 'Other congenital malformations' reduced a child's odds of achieving the speech standards. ACDs, in the absence of a known syndrome, have a significant impact on speech outcome at age five. Incorporating these factors into risk-adjustment models for service level outcome reporting is recommended.

Investigating Alternative Water Supply in Settlements: Cases from Turkana County in Kenya and Orangi in Karachi, Pakistan

In urban areas, water is usually provided through piped systems from specific sources to consumers. Cities, towns, and peri-urban settlements typically benefit from piped systems, while rural areas rely on water supplies from surface sources like rivers and canals, as well as ground sources such as wells and tube wells. When traditional methods fail, alternative water supply systems emerge in both urban and rural areas. This paper addresses the question of whether alternative water supply arrangements are sustainable in terms of system reliability, consumer acceptance, cost-effectiveness, convenience, perceptions of service levels, and ease of access to service providers. This paper examines the status of alternative water supply arrangements in Turkana County, Kenya, and Orangi in Karachi, Pakistan, using qualitative methods. It highlights that underprivileged communities commonly turn to alternative water supply arrangements when conventional methods are unavailable or underperforming.

Variable‐weight combined forecasting model with causal analysis and clustering for refined oil sales forecasting

AbstractForecasting refined oil sales is essential in energy supply chain management. However, accurate forecasting is limited by several factors, including multiple influences of external features, heterogeneity of different gasoline stations, and difficulty in balancing linear and nonlinear forecasting. To address these issues, we propose a novel variable‐weight combined forecasting model. In the first stage, the model incorporates causal analysis and clustering methods to provide a quantitative description of multiple effects of external features and highly correlated aggregation of homogeneous data. Subsequently, based on the patterns of external feature influences learned from historical data, variable‐weight combined forecasting is realized to balance linear and nonlinear forecasting dynamically. Experiments based on real sales data procured from several regions demonstrate that the proposed model outperforms other benchmark and widely used models in terms of forecasting accuracy and statistical significance. The ablation experimental results confirm the significance of causal analysis, clustering, and variable‐weight combined forecasting in improving the balance between linear and nonlinear forecasting. Moreover, our results indicate that improving the quality of clustering can yield greater benefits than improving the amount of training data. Finally, we also explore whether the forecasting superiority translates into better inventory control, and our results show that the proposed optimization model can effectively balance inventory cost and service level, while also better suppress the bullwhip effect.

A Cross-Sectional Analysis of ALS/ BLS Care in Low Acuity 9-1-1 Response by Geography and Insurance Status Utilizing the 2019 NEMSIS Dataset

Purpose. The objective of this study was to examine the relationship between patient acuity and level of EMS care adjusting for rurality and insurance. Methods. Data were obtained from the National Emergency Services Information System (NEMSIS) database for 2019. EMS responses (n = 4,375,568) were analyzed comparing patient acuity and CMS Service level, Advanced Life Support (ALS) vs Basic Life Support (BLS), to assess for associations in acuity and CMS Service level using logistic regression. Results. Overall, there was a decreased odds of advanced life service use at low acuity EMS responses (OR=0.443, 95% CI=0.440-0.445). Sub analysis exploring the interaction between CMS Service Level, Rurality demonstrates an overall trend of decreasing odds of low acuity EMS responses among rural areas and BLS care (OR=0.492, 95% CI=0.486,0.498) and ALS care (OR=0.198, 95% CI=0.197,0.200). When analyzing trends among public vs all other insurance and rural vs urban settings, there were decreases in low acuity ALS care in the rural setting; ALS and Pub Insurance (OR 0.447, 0.444-0.450, p<0.001), ALS and Rural (OR 0.198, CI 0.197-0.914, p<0.001) among low acuity responses. The results indicate that acuity and service level vary according to insurance and rurality. In the low acuity call type, we see decreased odds of ALS use compared BLS use in those with public insurances compared to other insurance. There is also a geographic component to these results where the use of Advance Life Support services declined with decreases in urbanicity. Discussion. These results potentially highlight that rural areas utilize less emergency medical response resources in low acuity responses. As such, EMS programs like community paramedicine, could be potentially effective interventions to close gaps in access to care for rural residents.

Examining multidimensional health poverty and determining factors among rural women of childbearing age in ningxia, china

BackgroundThe multidimensional health poverty afflicting rural women of reproductive age bears profound implications for the sustainable development of families, societies, and healthy villages. Elucidating vulnerable groups at risk of multidimensional health poverty and delineating its determinants can inform refinements and implementation of health-poverty alleviation policies.MethodsBased on the 2022 "Health Status and Health Service Utilization" survey data in rural Ningxia, China, this study analyzes the dimension of health status, capacity for health service utilization, health expenditure and security using the A-F dual-threshold method, logit model, and probit model. It comprehensively evaluates multidimensional health poverty and analyzes its determining factors among rural women of childbearing age.ResultsWith k set at 0.3, the health multidimensional poverty index, incidence, and intensity among rural women of reproductive age were 0.021, 0.053, and 0.392, respectively. Chronic illness, capacity for free gynecological examination utilization, health examination utilization, and borrowing due to illness contributed significantly to multidimensional health poverty. Risk factors for multidimensional health poverty among rural women of childbearing age include age, unemployment, family size, and lack of sanitary toilets. Protective factors include being married, educational level, non-farm or student occupation, receiving government support, separate housing and kitchen, owning a television and computer.ConclusionsEven with the elimination of absolute poverty, the multidimensional health poverty situation among rural women remains important from a gender perspective. It is recommended to strengthen economic assistance and health service support for these groups, improve the level of rural health services from a gender perspective, and enhance housing structure and sanitation toilet usage in rural areas. Efforts should be made to narrow the digital divide in rural areas and promote digital health education. Pre-interventions on multidimensional health poverty can provide new pathways for the development, empowerment, and well-being of rural women of childbearing age.

Mitigating Intermittent Connectivity Problems in Vehicle-to-Vehicle Communication (V2VC): A Sparse Network Computational Model (SNCM)

INTRODUCTION: Wireless communication has made remarkable progress, by the rapid development of wireless technology in Artificial Intelligence (AI). Intelligent Transportation Systems (ITS), and Vehicular Ad Hoc Networks (VANETs) have received significant attention to ensure safety. However, V2V communication in VANETs faces uncontrollable challenges due to frequent intermittent connectivity issues in infrastructure-less networks. Addressing these problems in both safety and non-safety applications is a complex task.OBJECTIVES: To mitigate the intermittent connectivity problems, a novel Sparse Network Computational Model (SNCM) was proposed.METHODS: Extensive simulations using MATLAB to analyze the impact of spatial-temporal variations under different traffic flow densities. We varied the sensitivity factor (λ) at different time intervals while maintaining a constant traffic density. RESULTS: The findings indicate that there is no need to increase λ beyond certain thresholds for each level of service. The simulation results provide valuable guidelines for designing sparse networks, effectively mitigating frequent intermittent disconnections. Simulation experiments revealed an optimal threshold for the sensitivity factor λ for each level of service. Increasing λ beyond certain thresholds did not yield significant improvements in mitigating disconnections in V2V communication.CONCLUSION: The results provide valuable insights and guidelines for designing sparse networks to enhance connectivity and address intermittent disconnection issues. This paper presents a groundbreaking endeavor, and therefore, direct comparisons with existing protocols to evaluate its overall performance are beyond the scope of this paper. Instead, the SNCM protocol is intended to set a standard for future researchers to benchmark their research contributions against.

The Model of the Armament And Military Equipment Repair System

The purpose of the study, the results of which are presented in the article, is to develop a mathematical model of the process of restoring weapons and military equipment (IWT), taking into account their losses due to combat and operational and technical reasons, as well as the production capabilities of repair and restoration bodies (RVOS) of the first and second levels. For the operational solution of the recovery system planning and managing tasks, it is necessary to have models that allow approximate assessment of the system effectiveness at various levels of management. The hypothesis of the study is to increase the efficiency of restoring weapons and military equipment using the forces and means of military repair bodies, field repair brigades (VRB) in the conditions of the operation, as well as the production capacities of enterprises of the local industrial economic base. As criteria for effectiveness evaluation, the indicators characterizing the combat capabilities of military formations for a certain period of military planning in peacetime and wartime are considered. Research methods are mathematical apparatus of the theory of queuing systems and differential equations of 'dynamics of averages', system analysis, comparative analysis, generalization, forecasting, and document analysis. The resulting model establishes a relationship between the input parameters and the output indicators of the recovery system, characterizing the serviceability of the IWT. In this case, the control parameter is a parameter that characterizes the ratio of the number of samples of military equipment repaired in the 1st-level RVR. Results: the developed model can be used for: analyzing the technical support system of troops; solving optimization problems of managing the technical support of troops: finding the optimal ratio of the number of samples of military equipment repaired by the first and second level RVOS; determining the optimal number of field crews for repairing military equipment while ensuring a given level of serviceability of military equipment and minimizing the cost of repairing military equipment.

Aplicación de la metodología MASP para reducir el tiempo de producción: el caso de una industria del mueble

The furniture industry generated sales of R$78 million in the year 2021. However, a company in the sector is not always able to deliver on time to fulfill. In this context, this research aimed to identify the main causes for the delay in delivery of orders in the company studied, applying the Methodology of analysis and problem solving (MASP) in order to identify, analyze and propose corrective actions. The study was conducted in the company Arte Mobília, which manufactures furniture for indoor and outdoor environments made of aluminum and sling fabric, whose delimitation was the process related to the production of chairs. As results, in the first stage of MASP the problem of the delay of orders that were delivered 10 days late was identified and in the second stage the family and the product to be studied, the chair 1, was identified. In the analysis stage quality tools were applied, such as brainstorming, Pareto chart, Ishikawa diagram, and the five whys. With the application of MASP it was possible to reduce the production lead time by 10 days. With this, the company will be able to present a higher level of service and be more connective in the market. ILIA: Investigaciones Latinoamericanas en Ingeniería y Arquitectura, No. 01, 2024: 146-154.

Teaching data‐driven decision making for inventory analysis with Monte Carlo simulation

AbstractInventory management and the ability to make data‐driven decisions under uncertainty are two critical components of supply chain management. This brief describes how an Excel‐based Monte Carlo simulation of fuel and lottery purchases can be used to teach students to analyze a system with randomness. This exercise can serve as a group or individual assignment to demonstrate the ability of Monte Carlo simulation to estimate solutions involving uncertainty and to teach undergraduate business students how to implement a basic multiperiod fixed‐interval inventory policy with order‐up‐to‐levels. The important concepts of cycle service levels and confidence intervals are emphasized as are the proper implementation of one‐tailed and two‐tailed critical values. Students are encouraged to compare algebraic solutions to their simulation results.

Efficient virtual machine placement in cloud computing environment using BSO-ANN based hybrid technique

Cloud computing has revolutionized the way businesses and individuals access and utilize computing resources. Efficient virtual machine placement is a critical aspect of optimizing resource utilization, reducing operational costs, energy consumption, service level agreement and minimum virtual machine migrations, execution time, and ensuring the overall performance of cloud services. This manuscript introduces a novel approach that combines the creative problem-solving capabilities of brainstorming with the computational power of Artificial Neural Networks (ANN) to address the virtual machine placement problem in cloud environments. In this study, we propose a hybrid technique that leverages the collective intelligence of human brainstorming to generate a diverse set of placement strategies. These strategies are then evaluated, refined, and optimized using an ANN model trained on historical cloud resource allocation workload logs. By integrating the human creative process with the data-driven predictive capabilities of ANN, our approach aims to overcome the limitations of traditional virtual machine placement algorithms, which often struggle to adapt to dynamic workloads and changing resource requirements. The manuscript provides a detailed description of the hybrid technique, including the process of brainstorming for generating placement strategies, data collection and preprocessing, ANN model development, and the integration of these components into an efficient placement system. We present experimental results demonstrating the effectiveness of our approach in optimizing resource allocation, improving service performance, and optimizing resource utilization, reducing energy consumption, service level agreement and minimum virtual machine migrations, reducing execution time compared to existing static, and meta-heuristic methods. The proposed Brain Storming with ANN based Hybrid Technique offers a promising solution for enhancing the efficiency of virtual machine placement in cloud computing environments. BSO-ANN outperforms the existing techniques using performance metrics (energy consumption(Kwh), execution time(ms), SLA violations, and number of migrations). It combines human ingenuity with data-driven insights to adapt to the ever-changing dynamics of cloud workloads. This manuscript contributes to the ongoing research in cloud resource management, offering a practical approach for cloud service providers and organizations to better utilize their resources and enhance the overall quality of cloud-based services. © 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Global Science and Technology Forum Pte Ltd.

DEVELOPMENT OF MARKETING IN AZERBAIJAN

The main goal of the article is to study activities aimed at marketing development in Azerbaijan. It is noted that benefiting from the synthesis of the national characteristics of the economy (including the experience of the Soviet era) and the world experience is one of the urgent requirements of the modern era. Method and methodologies. In the analysis process, comparative analysis of statistical indicators, analysis of legal-normative documents necessary for the development of marketing, classification of existing problems in the system of formation of market relations in Azerbaijan, forecasting and projecting methods were used. Novelty on the article. The article focuses on some rational and non-rational activities that are neglected in the scientific literature and necessitates the development of marketing. Conclusion and suggestions. The article emphasizes that marketing promotion is a step that serves to make companies popular among the population. These steps are one of the necessary steps to be carried out and updated both thoroughly and systematically. It is noted that 90% of managers of companies operating in Azerbaijan think that there is no need for marketing research. Thus, the decision to implement marketing measures is not based on the analysis of research data, and this, in turn, does not justify the effectiveness of marketing projects. Businessmen rely too much on their intuition and make unreasonable expenses based only on their own experience and unsystematized information that reaches them over a period of time. As a result: 1. Unsuccessful image campaigns are organized that do not produce any desired intangible effect; 2. Sales of newly launched products are falling; 3. Preference is given to advertising campaigns mainly aimed at financial impact; 4. Absurd models of brand perception emerge as a result of lack of study of brand perception after marketing activities; 5. Low level of service and, as a result, customer satisfaction. At best, marketers refer to a company's to-do list.

Study the Level of Service to Roadways which Leading to Basrah University

The building of Basrah University located in a rural area at Gramat Ali, its consist of seven colleges and very high number of students, lecturers ,and employers. Therefore, the intersections which leading to university building suffer congestion at morning peak hour (8-9) A.M and evening peak hour (2-3) P.M. In this study we collected the data in intersections which leading to university building at peak hour at same time, then we had analysis this data by using the highway capacity manual (HCM) and program (HCS). Also, we collected that data in University entries with classification of vehicles according to types and number of passengers at peak hour. Then we studied the number of proposals to riddance the congestion, such as the effect of vehicles prohibition which one and two passenger to entry in University at peak hour. This proposal will riddance of the congestion at University entries and intersections.

ВИКОРИСТАННЯ ЕЛЕКТРОННИХ СИСТЕМ ДОКУМЕНТООБІГУ ТА ЗВІТНОСТІ ЛОГІСТИЧНИМИ КОМПАНІЯМИ УКРАЇНИ

The article explores the possibilities and ways of using information technologies for document management and electronic reporting at logistics enterprises. Theoretical approaches to understanding the goals and tasks of logistics information systems in transport technologies have been considered. The main information technology systems that change the logistics industry in modern conditions have been characterized, namely: RPA; chat bots; visualization; Artificial Intelligence; predictive analytics. The electronic technologies used for information provision in Ukrainian practice, the IT-Enterprise ERP system of JSC ‘Ukrposhta’ and the CRM system of the company ‘Epicentr K’ have been analyzed. Their characteristics and advantages of use have been defined. It have been found that the basis of the functional component of the modern information system is a single module of operations between the links of the logistics system, which determines the relationship between the functional divisions of the company (in terms of the implementation of logistics functions), intermediate links and consumers of the company’s products. The implementation of a logistics information system in the work of a logistics enterprise makes it possible: - to increase the efficiency of its work, achieve a high level of service for customers and ensure effective control; - to ensure a modern approach to the management of implementation processes and the organization of various types of events; - to monitor the efficiency of commercial operations; - to conduct an analysis of the profitability of the activity; - to increase the effectiveness of price policy, etc. The problems of the introduction of electronic document flow and reporting systems in Ukraine have been noted: - the problem of interoperability in electronic document flow; - lack of clear standards and requirements for electronic reporting, companies may hesitate to switch to this type of reporting; – constant changes in legislation and requirements can create difficulties for enterprises in implementing stable electronic reporting systems; - inconsistency of electronic reporting formats with global ones; high implementation costs; - concerns about data privacy and security can deter companies from switching to electronic reporting, especially when the security of information on the network is at stake.

СТРАТЕГІЧНИЙ АНАЛІЗ ПІДПРИЄМСТВА АГРАРНОГО СЕКТОРУ

With the development of the economy and constant changes in the external environment, it became more difficult for Ukrainian agricultural enterprises to conduct their activities, especially under the influence of two factors, namely the pandemic and the war. The Ukrainian economy, companies and population had not yet recovered from the consequences of COVID-19 when a full-scale invasion began, which forever changed the realities of both the agricultural sector and entrepreneurship. Global climate changes, international trade conditions, technological development and demographic changes were also important external factors, which created new challenges and opportunities for agricultural enterprises. In this context, there is a need to carry out their strategic analysis to determine competitiveness and develop effective development strategies. However, at the moment there is a need for a more detailed study of issues related to the analysis of internal and external factors, their interrelationship and influence on strategic decision-making in the agricultural sector. Thus, the problem that needs to be solved is the development of an integrated methodological approach for the strategic analysis of agricultural enterprises, which would take into account various aspects of their functioning and the impact of changes in the external environment. The article is devoted to a strategic analysis of the agricultural enterprise «Dekoplant». Based on the performed PEST and SWOT analyses, main threats, opportunities, strengths, and weaknesses of both the internal and external environments were identified. Among the identified threats and weaknesses are changes in trade policy conditions, national legislation, currency exchange rate fluctuations (USD and Euro), a weak development strategy, and ineffective marketing platforms. The opportunities and strengths encompass heightened quality and service level demands, high product quality, a diverse range of products, extensive experience, and a large customer base. The article highlights the significance of strategic analysis for efficient enterprise management and gaining competitive advantages. Additionally, top companies in Ukraine's agricultural sector were investigated to determine key industry trends and competitiveness. The analytical approach enables well-founded recommendations for optimizing the strategy of the «Dekoplant» enterprise considering the identified internal and external threats.

Assessing Information Technology in Hospitals in Tehran: Challenges and Opportunities for Performance Improvement

Purpose: This research aimed to investigate the maturity level of information technology (IT) within hospitals in Tehran. Method: The study was applied in purpose and survey-based in method. The statistical population comprised 27 experts in urban management and IT within hospitals in Tehran. A revised standard questionnaire, based on Gartner’s IT management process maturity model, was used to measure IT maturity. Data analysis was performed using SPSS software (version 23). Findings: The study revealed that several aspects of IT maturity within hospitals in Tehran were generally favorable. Specifically, leadership and IT management activities, customer-oriented service, control and evaluation, configuration and asset management, security management, change management, service level management, accessible management, service and support documentation, capacity management, and strategic trends were positively evaluated. However, operations management, human resource management, supplier management, and certain IT service management components were found to be below the average level of 3. Conclusion: Overall, the research indicates that the IT maturity level in hospitals in Tehran is largely favorable. Nevertheless, improvements are needed in specific areas, such as operations management and human resource management, to enhance the effectiveness and efficiency of IT operations.

Real-Time Freeway Crash Detection Framework using Connected Vehicle Waypoint Data

Accurate and timely detection of traffic accidents is crucial for transportation agencies seeking swift responses and effective traffic management, particularly on freeways where crash severity and traffic flow disruptions are amplified. While several methods have been developed using cameras or infrastructure-mounted sensors, these approaches may face challenges in geographical scalability. To address this issue, a novel approach has been developed that leverages real-time connected vehicle trajectories at a market penetration rate of 4%–9%. The method involves extracting five key features from individual journeys that sense the speed and acceleration fluctuations. The results demonstrate promising outcomes, achieving an overall accuracy of 63.5% with 4.1% false detections and 33.4% non-detections. This accuracy surpasses the speed-alone model using the same data by 24%. Furthermore, higher traffic volumes lead to even greater accuracy, exceeding 80% at level of service D and 90% at level of service E. The developed algorithm also exhibits precision in crash detection, with a mean latency of only 2.5 min after the actual incidents. The entire processing time may additionally add up to 1 min. The robustness of the model is tested for a single day on one of the interstates, providing promising results. This study highlights the potential of connected vehicle data in enhancing crash prediction methods and underlines its value for the safety and efficiency of future transportation systems.

A multi-theoretical approach to supply chain management

The article examines the supply chain as a modeling object. The multi-criteria and contradictory goals in supply chain management are: on the one hand, the maximum level of service, on the other hand, minimizing logistics costs. Solving strategic optimization problems for this class of objects using classical optimization methods is difficult. The theoretical and methodological basis of the supply chain was considered from the perspective of a set-theoretic approach. The purpose of the study is to analyze the behavior of many different agents (suppliers, clients, etc.) with different needs and goals when making decisions. An agent is an active element of the system, possessing a certain autonomy and the ability to make independent decisions, relying on the information it has about the state of the environment and the actions of other agents. In turn, supply chains are a complex organizational (active) system, i.e. associated with human participation. The study of behavioral aspects and interorganizational interaction, the formation of new organizational forms are an extremely important aspect in the management and modeling of supply chains, a factor in the dynamic behavior of the logistics system. The conducted research represents an important contribution to the development of knowledge about the application of the set-theoretic approach in supply chain management. It demonstrates the applicability of this approach in practice through an analysis of a specific company, LLP «Knauf», on the Kazakhstan market.

Vehicle and Pedestrian Traffic Signal Performance Measures Using LiDAR-Derived Trajectory Data.

Light Detection and Ranging (LiDAR) sensors at signalized intersections can accurately track the movement of virtually all objects passing through at high sampling rates. This study presents methodologies to estimate vehicle and pedestrian traffic signal performance measures using LiDAR trajectory data. Over 15,000,000 vehicle and 170,000 pedestrian waypoints detected during a 24 h period at an intersection in Utah are analyzed to describe the proposed techniques. Sampled trajectories are linear referenced to generate Purdue Probe Diagrams (PPDs). Vehicle-based PPDs are used to estimate movement level turning counts, 85th percentile queue lengths (85QL), arrivals on green (AOG), highway capacity manual (HCM) level of service (LOS), split failures (SF), and downstream blockage (DSB) by time of day (TOD). Pedestrian-based PPDs are used to estimate wait times and the proportion of people that traverse multiple crosswalks. Although vehicle signal performance can be estimated from several days of aggregated connected vehicle (CV) data, LiDAR data provides the ability to measure performance in real time. Furthermore, LiDAR can measure pedestrian speeds. At the studied location, the 15th percentile pedestrian walking speed was estimated to be 3.9 ft/s. The ability to directly measure these pedestrian speeds allows agencies to consider alternative crossing times than those suggested by the Manual on Uniform Traffic Control Devices (MUTCD).

Pedestrian Facility Design For Sports Centre Area In Small Town Of Indonesia (Case Study: Bima Sports Centre Area)

The largest public space in Cirebon City, Indonesia, is Bima Sports Center, with conditions that could be more conducive, resulting in the conversion of sidewalks that are not suitable for their function into areas for street vendors and illegal parking, which hurts the interests of pedestrians. This study aims to provide design recommendations (prototype) based on PU regulation no. 02/SE/M/2018 about pedestrian facility standards. The methods used in this research are the Pedestrian Level of Service (PLOS) approach in evaluating the performance of pedestrian facilities, the Customer Satisfaction Index (CSI) approach in assessing pedestrian satisfaction, and providing design recommendations based on the results of the CSI analysis. The research results show that the PLOS value in existing conditions varies from A - to F, and the main variables that determine pedestrian satisfaction are cleanliness, safety, and lighting facilities. Based on the analysis of the results, the design recommendation is to adjust the geometry according to standards and emphasize the Provision of cleaning facilities (bins), lighting, and safety fences along pedestrian paths.