Visitor Data Research Articles

The dawn of a sexual assault relief center: A 12-year fact-finding survey of victims of sexual assault conducted since2010 by SACHICO, Japan's first rape crisis center.

In Japan, amidst insufficient legal provisions and governmental support, in 2010, the first rape crisis center, the Sexual Assault Crisis Healing Intervention Center Osaka (SACHICO) was established. We compared SACHICO visitor data from 2010 to 2021 with National Police Agency statistics to clarify the current situation of sexual assault victims in Japan and considered future issues for Japan to address. This study was a cross-sectional study that analyzed the data described below. All visitations to SACHICO between April 2010 and December 2021 were considered targets for data totaling. Data on crime statistics were gathered from the official governmental statistics portal site. A total of 12 036 visitations occurred, of which 3189 were first-time consultations; 3100 initial medical examinations were conducted, and no medical examination was conducted in the remaining 89 cases (2.7%). The number of initial medical examinations increased 3.7 times from 2010 to 2021. Victims under the age of 19 comprised 60% of the total number of initial medical examinations (1863/3100). The reporting rate for all 3100 initial medical examinations was only 31.3% (969/3100) of the cases. The proportion of forcible sexual intercourse versus forcible indecency were the converse of those observed among acknowledged cases nationwide and in Osaka Prefecture. For several years, the number of initial medical consultations at SACHICO has exceeded that of acknowledged cases in Osaka Prefecture. Support for victims of sexual assault in Japan is still insufficient. It is necessary to strengthen the system of rape crisis centers system to realize an unbroken chain of support for victims.

Forest lookout tower visitor data in the Covid epidemic periods: what the numbers tell

The Covid epidemic between the spring of 2020 and the summer of 2021 showed that there is an increasing demand for various forms of forest-related tourism. Number of visitors in forests broke records in certain places: 32 million visitor days were registered in 2020 in Pilisi Parkerdő Ltd. alone. In this article we present data originated from the automatic visitor counters placed on certain forest lookout towers. Processing the data, we can get an insight of the number and distribution of hikers in each period. As a result of the research, forest managers can learn more about the popular tourist destination, furthermore, knowledge is gained about the motivations and needs of forest tourism participants. Based on this, public welfare investments that meet real demands can be planned in a cost-effective manner. Ideally, the results achieved can bring satisfaction to all actors involved in forest tourism. On the demand (visitor) side, targeted and needs-tailored developments increase the experience factor of the time spent in the forest. On the supply (forestry) side, knowing the motivations makes the performance of public welfare tasks more efficient, which ultimately contributes to the improvement of the sector's image.

Perancangan Strategi Pemasaran pada Coffee Shop dengan Metode SWOT dan QSPM

Marketing strategies in cafés are essential to attract and retain customers. This can be done through the use of social media and influencers, as well as ensuring product quality, service, and speed. Ruang Warga is a café in Jombang district. The implementation of inappropriate marketing strategies during the pandemic has made it difficult for Ruang Warga café to survive in today's business competition. Judging from January to May, visitor data is not stable and has even decreased with 1731 visitors in February. The purpose of this study is to implement a product marketing strategy using the SWOT and QSPM methods. This research uses SWOT and QSPM methods which are useful for knowing internal and external factors that can affect product sales. Then with the proposed improvements to increase consumer attractiveness to face market competition. The results of the SWOT analysis obtained three alternative strategies with the QSPM matrix to determine the strategic priority ranking. With the results of TAS 6.81, namely by prioritizing and developing marketing through social media by reaching a wider target market and making it easier to increase cafe branding. By prioritizing and developing marketing through social media, it can reach a wider target market and make it easier to increase cafe branding.

Recreational agroecosystem service value evidenced by mobile phone data: implications for incentive enhancement in terraced paddy land

Summary Farmland abandonment contributes to agroecosystem degradation and food crises. Sustainable farmland use requires a well-designed agri-environmental policy to provide farmers with incentives, including agroecosystem services apart from food production. One of these is recreation. Here, we focus on a Japanese terraced paddy land. We assessed seasonal changes in the value of recreational ecosystem services by integrating mobile phone big data of on-site visitors, collected between 2018 and 2020, into a valuation method. The application of mobile data enables the precise and consistent analysis of non-market agroecosystem services. The recreational value of the paddy land varied with season but overall was high. Sustainable farmland use provides social benefits, and we support the validity of agri-environmental policies that relate to economic incentives for agroecosystem conservation. However, the results show that the incentives provided by the public/government may be insufficient in comparison to this recreational value. Our findings provide information regarding the appropriate amount of economic support required to achieve sustainable agricultural land use in this setting.

PELATIHAN PENATAUSAHAAN POS TIKET KAWASAN WISATA ALAM SEMBALUN

Sembalun tourism area has become one of the leading tourism destination in Lombok island. Since the launch of Sembalun7Summits program, the number of tourist coming to Sembalun to experience the sensation of venturing through the beautiful landscapes has increased significantly. This has opened a wide opportunity for this agricultural village to increase its income from tourism. This activity aimed to provide the knowledge for guards of entry posts to hiking trails to help them manage and record visitor data so that they can keep track of entry charges collected from visitors. Better records of entry charges and visitors will enable the guards to manage the income they have generated in order to map the expenses needed to provide better service for visitors. These services include safety measures for visitors and improved income for not only the guards in the entry posts but also villagers in surrounding areas. The training was participated by 25 post guards from ten hiking posts and five members of the Sembalun Foundation organization which is the partner of this community development activity. After the training, the post guards made an agreement to start using the Google Form designed by our team to be used as a means to record visitor data. This form will be provided in each hiking post’s social media account where visitors can schedule and register their hiking trip.

Application of Data Mining using the K-Means Method for Visitor Grouping

Grouping amusement ride visitor data is an important process that aims to identify certain patterns of visitors, enabling management to adjust marketing strategies and improve their services more effectively. This process begins with a data selection stage where relevant visitor data is collected and prepared for analysis. The next stage is data pre-processing, which involves cleaning the data from noise or irrelevant data, as well as ensuring the data is in a format suitable for analysis. After that, the data mining model design is carried out by selecting the most appropriate method for grouping visitor data. The next stage is testing and evaluating the model to verify its accuracy and effectiveness. The results of model testing show that visitor data can be categorized into three groups: C1 with 50 data, C2 with 20 data, and C3 with 48 data. The results of the model evaluation confirm that the designed model succeeded in classifying data with perfect accuracy, namely 100%. This success shows that the model is highly effective in identifying and segmenting visitor patterns, providing valuable insights for strategic decision making in service improvement and marketing. This success also opens up opportunities for the application of similar methods to other datasets in an effort to improve visitor experience and operational efficiency.

Evaluating the management of ethnic minority heritage and the use of digital technologies for learning

PurposeThis article examines curatorial practices, both traditional and digital, in the Guizhou Provincial Museum’s ethnic exhibition to assess their effectiveness in representing ethnic minority cultures, fostering learning and inspiring curiosity about ethnic textiles and costumes and associated cultures. It also explores audience expectations concerning digital technology use in future exhibitions.Design/methodology/approachA mixed-methods approach was employed, where visitor data were collected through questionnaires, together with interviews with expert, museum professionals and ethnic minority textile practitioners. Their expertise proved instrumental in shaping the design of the study and enhancing the overall visitor experience, and thus fostering a deeper appreciation and understanding of ethnic minority cultures.FindingsVisitors were generally satisfied with the exhibition, valuing their educational experience on ethnic textiles and cultures. There is a notable demand for more immersive digital technologies in museum exhibitions. The study underscores the importance of participatory design with stakeholders, especially ethnic minority groups, for genuine and compelling cultural representation.Originality/valueThis study delves into the potentials of digital technologies in the curation of ethnic minority textiles, particularly for enhancing education and cultural communication. Ethnic textiles and costumes provide rich sensory experience, and they carry deep cultural significance, especially during festive occasions. Our findings bridge this gap; they offer insights for museums aiming to deepen the visitor experiences and understanding of ethnic cultures through the use of digital technologies.

Forecasting Türkiye's International Tourism Demand

The structure of tourist demand is sensitive since it is very easily affected by the consequences of economic, political, and social crises. Since the limited ability to increase tourism supply, it is crucial to analyze the demand structure and develop suitable strategies. This outcome can only be achieved by an accurate and effective demand prediction. There is no singular approach that ensures success in demand forecasting. Hence, in order to estimate demand accurately, it is advisable to create many models and choose the one with the lowest error rate. This study aimed to develop the best-performing prediction model by using monthly data of international visitors who visited Türkiye from January 2002 to August 2023 and stayed in Tourism Ministry-certified accommodations. Within this framework, the data was first analyzed to identify the trend and seasonal component. Afterwards, various models were employed including Naive III, simple moving average, double moving average, seasonal exponential smoothing, and artificial neural networks. The data generated by these models has been analyzed by comparing it with the actual data from the last 24 months, using MAPE and RMSE results. According to the research findings, it has been determined that artificial neural networks produce the most accurate results.

Evaluasi Layanan Referensi Perpustakaan Universitas Bung Hatta

The aim of this research is to describe the evaluation of reference services which is then seen from the CIPP Evaluation Model theory. This type of research is quantitative with descriptive methods. The variable in this research is library reference services with sub variables, namely library service evaluation using the CIPP evaluation model. The population in this study is visitors to reference services at the Bung Hatta University Library from January 2023 to November 2023 with sampling using the non-probability silling formula with an accidental sampling technique. The number of samples is 61 users. The main instrument used is a research questionnaire which has been tested for validity and reliability. Data collection was carried out through questionnaires. The data were analyzed through the stages of examination, tabulation, and drawing conclusions. The results of the research are First, in the evaluation of the context, namely the reference service function, there are 3 statements which have an average score of 3.11. This score is on a scale of 2.50-3.24 which means good. Second, in the input evaluation there are 3 sub-indicators, (1) librarian which consists of 4 statements and has an average score of 3.24. This score is on a scale of 2.50-3.24 which means good; (2) a collection consisting of 5 statements and having an average score of 3.24. This score is on a scale of 2.50-3.24 which means good; (3) a catalog consisting of 3 statements and having an average score of 3.09. This score is on a scale of 2.50-3.24 which means good. Third, in the evaluation process there are 2 sub-indicators, (1) library reference services which consist of 5 statements and have an average score of 3.25. This score is on an interval scale of 3.25-4.00 which means very good; (2) information search service which consists of 3 statements and has an average score of 3.16. This score is on a scale of 2.50-3.24 which means good. Fourth, in product evaluation there are 2 sub-indicators, (1) visitor data which consists of 3 statements and has an average score of 3.20. This score is on a scale of 2.50-3.24 which means good; (2) the level of user satisfaction which consists of 3 statements and has an average score of 3.20. This score is on a scale of 2.50-3.24 which means good.
 

Pengaruh Komunikasi Interpersonal Pustakawan terhadap Kepuasan Pemustaka di Perpustakaan Era Digital (Studi Kasus di Poltekkes Kemenkes Padang)

The purpose of this study was to determine (1) describe the interpersonal communication of librarians in the Library of Poltekkes Kemenkes Padang. (2) describe the level of user satisfaction at the Poltekkes Kemenkes Padang Library. (3) describe the effect of librarian interpersonal communication on the level of library satisfaction at the Poltekkes Kemenkes Padang Library in the digital era. This research is a type of quantitative research with descriptive methods, data obtained through distributing questionnaires at the Poltekkes Kemenkes Padang Library. The population in this study was visitor data from January to December 2022 with a sample size of 99 respondents. Sampling is determined based on the Simple Random Sampling Technique which is a sampling technique that is carried out randomly without regard to the strata in the population. The results of this study are (1) interpersonal communication of librarians at the Poltekkes Kemenkes Padang Library is classified as high with an average value of 3.07 on a good interval scale. (2) user satisfaction at the Poltekkes Kemenkes Padang Library is high with an average of 3.19 on a good interval scale. (3) Librarian interpersonal communication affects library satisfaction at the Poltekkes Kemenkes Padang Library, where the Fhitung value (39.747)> Ftabel (3.94) at a significant level of 5% which states that there is a significant influence between librarian interpersonal communication on library satisfaction at the Poltekkes Kemenkes Padang Library.

A Holistic Approach for Enhancing Museum Performance and Visitor Experience.

Managing modern museum content and visitor data analytics to achieve higher levels of visitor experience and overall museum performance is a complex and multidimensional issue involving several scientific aspects, such as exhibits' metadata management, visitor movement tracking and modelling, location/context-aware content provision, etc. In related prior research, most of the efforts have focused individually on some of these aspects and do not provide holistic approaches enhancing both museum performance and visitor experience. This paper proposes an integrated conceptualisation for improving these two aspects, involving four technological components. First, the adoption and parameterisation of four ontologies for the digital documentation and presentation of exhibits and their conservation methods, spatial management, and evaluation. Second, a tool for capturing visitor movement in near real-time, both anonymously (default) and eponymously (upon visitor consent). Third, a mobile application delivers personalised content to eponymous visitors based on static (e.g., demographic) and dynamic (e.g., visitor movement) data. Lastly, a platform assists museum administrators in managing visitor statistics and evaluating exhibits, collections, and routes based on visitors' behaviour and interactions. Preliminary results from a pilot implementation of this holistic approach in a multi-space high-traffic museum (MELTOPENLAB project) indicate that a cost-efficient, fully functional solution is feasible, and achieving an optimal trade-off between technical performance and cost efficiency is possible for museum administrators seeking unfragmented approaches that add value to their cultural heritage organisations.

Exploring Nature Dose Attainment across Racial Groups in Urban Parks and Trails

Nature exposure affords significant mental and physical health benefits, particularly with a weekly, 120-minute nature-dose threshold (White et al., 2019). As nature exposure is unequal with Black, Indigenous, and People of Color (BIPOC) facing greater constraints, nature dosage is likely unequal, rendering fewer benefits. A secondary analysis of urban park and trail visitor data (n = 3,209) explored nature dosage across racial groups (Asian, Black, White, and all BIPOC participants combined). Attaining the 120-minute nature dose threshold was significantly lower for those who identified as BIPOC compared to those who identified as White at trails. Notably, nature dose attainment was rather low among all respondents, regardless of race, with a maximum dose attainment of 25%. Planning efforts can address ways to increase dosage, and future studies can seek primary data and analyses to contextualize how intersectionality and distance impact nature dosage attainment.

Changes in epidemiology of patients visiting emergency departments during the early COVID-19 pandemic period

Infectious disease outbreaks have a great influence on the use of emergency departments (EDs). The purpose of this study was to analyze the effect of the early coronavirus disease outbreak (COVID-19) on ED visits, to be able to more effectively use ED resources during infectious disease outbreaks. This was a retrospective observational study conducted in three tertiary EDs. We defined the COVID-19 period as 01 December 2019, to 30 April 2020, and the control periods were defined as the same period in 2018 and 2019. All patients who visited the EDs during the study period were included. We collected visitor data on the total number, demographics, clinical data, vital signs, acuity level, cause of visit, disposition, time of visit and diagnostic code. A total of 180,192 patients were enrolled in this study. During the COVID-19 period, the number of ED visits decreased significantly. This decline was significant since mid-February when the number of COVID-19 patients surged nationwide. The proportion of critical patients and admission rate increased while the proportion of non-emergency patients decreased significantly from February (p < 0.001). The proportion of night-time ED visits decreased significantly from March. During the COVID-19 period and pre-COVID-19 period, the top three diagnosis areas were “abdominal and pelvis pain” “fever of other and unknown origin” and “open wound in the head” and remained unchanged. “Influenza because of an identified seasonal influenza virus” decreased during the study period. The study showed the number and characteristics of ED visits changed during the COVID-19 period compared with those of pre-COVID-19 periods.

CARE, INC.: HOW BIG TECH RESPONDED TO THE END OF ROE

After the leak of the Dobbs decision that ultimately overturned Roe v. Wade, technology companies made a series of public statements in support of user privacy: Apple released an advertisement showcasing privacy features; Google promised to delete location data of abortion clinic visitors; Meta announced testing of default end-to-end-encryption. Corporations like Meta once worked to convince users that their platforms were morally neutral. Now, they publicly “crack down” on manipulation and speak out for racial justice, despite privately subjecting activists to state surveillance. To bolster their authority and popularity, platforms engage in “commodity activism,” in which corporations take positions on social issues. Ultimately, this enhances corporate capital rather than enacting social change. Care, in its ideal, is opposed to neoliberalism: resisting individuality in favor of community and refusing to reduce humans to capital. Yet, paternalistic care can be a weapon – used to ensnare and to oppress. Through a critical technocultural discourse analysis of platforms’ public utterances and policy changes after the Dobbs leak, we find that platforms redefine care in three main ways. For users, care is neoliberal - platforms provide good privacy options, for which users are individually responsible. For employees, care is paternalistic - employees are offered money for healthcare, at the expense of free expression. Finally, ultimate care is for the platform - that company culture is protected, alliance with the state unthreatened, and above all, profit is promoted. Platform decisions are revealed to extend care in some ways, while also maintaining control over users and their data.

DEVELOPMENT OF AN ACCESS CONTROL AND MANAGEMENT SYSTEM USING A SOFTWARE APPLICATION

The administration of educational institutions has several multi-storey buildings, in which it is necessary to carry out a set of technical and organizational measures to control visitors by security personnel. The lack of the possibility of registering students does not allow for the identification of their identity, which makes it difficult to investigate incidents of discipline violations and location. Registration of passport data of visitors with a small number of supervisory personnel is not suitable for the business processes of educational institutions. Measures to ensure the safety of visitors are carried out in educational institutions by selective control of visitors by security personnel, installation of remote control systems, video surveillance equipment. Functional modeling methods and programming were used to implement the identification and authentication method in the access system. The use of mobile devices, cards with a chip with a set of identification data implements the technology of their transmission, automating the access regime in educational institutions. The materials are compiled based on the results of research and development of an access control and management system using a MySQL, Python based software application. The article presents an analysis of the technology for developing a control and access system developed on the basis of Proximity. An experimental test of the software application obtained during the study was carried out, which implemented technologies for organizing communication with network devices, automatic detection of mobile devices in the database, user recognition by identification code. The software application interacts with other applications and chips, exchanges information, unidirectional communication with data stored on the server. A software application using PHP and MySQL database for student access control based on mobile devices can be used to determine the location of students who have passed the control.

Real-Time Visitor Counting with Dynamic Facial Recognition using Python and Machine Learning

Visitor data or the number of visitors at a particular location is crucial information to be obtained. This data can serve various purposes, particularly in enhancing customer satisfaction. For instance, predicting the number of visitors at tourist destinations enables tourism management to be better prepared for welcoming and providing optimal services to arriving visitors. Visitor count data can also be employed to automatically restrict visitors during the COVID-19 pandemic, ensuring a safe and comfortable environment with limited attendees. To acquire visitor data, a system capable of accurate visitor detection is required. This research utilizes computer vision to detect visitor faces. The developed system, programmed in Python, functions by detecting visitor faces and conducting a count based on the detected faces. To prevent the same visitor from being detected multiple times, a facial recognition method with dynamic facial data collection is implemented in this study. The constructed system successfully counted 27 out of 28 visitors over a two-day period. However, the system has limitations, particularly in terms of the restricted detection area. Therefore, a physical mechanism mandating visitors to undergo facial scanning and registration needs to be established, ensuring recorded data corresponds to the actual visitor count.

Analysis of urban visitor walkability based on mobile data: The case of Daejeon, Korea

The walkability of destinations plays a decisive role in obtaining a sense of place for urban visitors. For an improved walkability-based visit experience, the city structure can be analyzed by dividing it into small units, starting with the destination. However, existing studies focus on the walkability of residents by administrative district and use limited contextual information and structural analysis tools. Therefore, this study aims to structurally understand walkability through network analysis with mobile-based visitor data collected from 822 point-of-interest (POI) in Daejeon. In this study, the actual walking distance between 95,817 cells with visitors and POIs was measured to calculate the edge weight and influence of cells on POI. We analyzed the POI-cell network through edge weight and extracted nine communities to understand the city context through POI analysis and derived the following findings. First, it is possible to determine the potential demand by visitors' walkability-based division. Second, our walkability measurement method follows a bottom-up approach, starting with a small unit cell, understanding the entire city as a community extraction model, and possibly extending to other cities in Korea. Third, POI-centered structural analysis is possible using the number of visitors and distance in the proposed network analysis method.

Integrated Visitor Management System with Smart Hand Sanitizer based on IoT Approach

Establishing visitor management system is necessary to manage the total number of visitors especially in pandemic when the protocol of social distancing is applied. The purpose of this research is to design a visitor management system integrated with an automatic Internet of Things (IoT)-based hand sanitizer using Arduino. This research contributes to answering the two challenges which are managing the total number of visitors and providing protection against bacteria or viruses. The improvement of this system compared to the existing similar approach is the automatic hand sanitizers could be installed at two entrances and exits which can simultaneously limit the number of visitors who will be monitored through the IoT platform. This system is designed with Arduino Uno R3 components as a microcontroller, ultrasonic sensors which will be installed at two entrances and exits, and automatic hand sanitizer using a water pump. For remote monitoring use the IoT platform with the ESP8266 ESP-01 Wi-Fi module as a link. From the results of testing this system, the results of testing the correct hand distance when using a hand sanitizer are from 3 cm to 9 cm and the right amount of hand sanitizer liquid volume is approximately 1 ml for a duration of 250 milliseconds. The system design has been successful for visitor management and the hand sanitizer works well. The Thingspeak webserver can receive visitor data and send it to the MIT app as a display for remote monitoring. Hopefully, this system could support the situation which needs to manage the restriction of total number visitors and hygiene practice in a more efficient way.

The Influence of Brand Image and Promotion On Product Purchasing Decisions at PT. Gaya Motor Branch Tarok Dipo Bukittinggi City

This study aims to determine and analyze the effect of brand image and promotion on product purchasing decisions at PT. Taxi Motorcycle Style. City of Tarok Dipo Bukittinggi. The type of research that the authors conducted was field research using a quantitative approach. The data used in this study were visitor data at PT. Style Motor Cab.Tarok Dipo Bukittinggi City 2017-2021 period (per year). This study used the SPSS (statistical package for social science) 26 program to process the data. The results showed that partially brand image has a value of 0.00 less than 0.05 or (0.00 <0.05) thus it can be concluded that the brand image variable partially influences purchasing decisions, promotion is 0.868 greater than 0 .05 or (0.868 > 0.05) so that it can be concluded that the promotion variable does not affect the decision partially. Simultaneously brand image and promotion have F count > F table or 17.681 > 3.093. Thus it can be concluded that brand image and promotion have a significant effect on purchasing decisions.

Het bevorderen van het implementatieproces van Krachtvoer, een lesprogramma over gezonde voeding voor het vmbo

AbstractActively promoting the implementation process of health promotion interventions, ensuring their sufficient and appropriate use in practice, requires a planned approach. Many types of implementation strategies can be used for this purpose, selected on the basis of identified determinants of the implementation process in the specific implementation context. Several phases can be distinguished in the implementation process, namely adoption, actual use, sustainability, scaling up, and de-implementation of the intervention. This article describes which implementation strategies have been and are currently used to promote the implementation process of the educational program Power Food (Krachtvoer), an intervention on healthy nutrition for students in Dutch prevocational secondary schools. It also presents visitor data from the Krachtvoer.nu website during the 2019–2020, 2020–2021 and 2021–2022 school years. A reflection on the approach emphasizes the importance of the leading role of the cross-domain project team, the co-creation with users, and the intersectoral cooperation with the national partner network. A national (funding) policy in the Netherlands to support the sustainability of proven effective and well-implementable health promotion interventions is sorely missed.