Research on Personalized Minority Tourist Route Recommendation Algorithm Based on Deep Learning

With the improvement of living standards, more and more people are pursuing personalized routes. This paper uses personalized mining of interest points of ethnic minority tourism demand groups, extracts customer data features in social networks, and constructs data features of interesting topic factors, geographic location factors, and user access frequency factors, using LDA topic models and matrix decomposition models to perform feature vectorization processing on user sign-in records and build deep learning recommendation model (DLM). Using this model to compare with the traditional recommendation model and the recommendation model of a single data feature module, the experimental results show the following: (1) The fitting error of DLM recommendation results is significantly reduced, and its recommendation accuracy rate is 50% higher than that of traditional recommendation algorithms. The experimental results show that the DLM constructed in this paper has good learning and training performance, and the recommendation effect is good. (2) In this method, the performance of the DLM is significantly higher than other POI recommendation methods in terms of the accuracy or recall rate of the recommendation algorithm. Among them, the accuracy rates of the top five, top ten, and top twenty recommended POIs are increased by 9.9%, 7.4%, and 7%, respectively, and the recall rate is increased by 4.2%, 7.5%, and 14.4%, respectively.

Novel Data-Driven Methodology for Production Allocation Calculation Utilizing Physics-Based Models Coupled and Integrated Within a Digital Framework

Determining the production from each well is crucial for financial and technical purposes. Moreover, this production can be anticipated using several different techniques. This paper describes the procedures to calculate the production allocated to each well in a giant gas-producing field by utilizing physics-based models that are orchestrated in a dynamic digital platform to provide a robust and efficient solution. The cases for this study of allocating gas rates to individual wells were performed using a digital platform as the primary tool utilized to account for the main productional location factors such as well tests and events that are used to estimate actual production volumes. Subsequently, relevant data is extracted, filtered, and loaded into the system in a dynamic interaction with fewer human interventions. The methodology for calculating the production allocated followed these main steps: a) Determine production per well under existing possible measures, b) Determine well contribution factors, c) Distribute actual rates and production according to allocation factors. By using polynomial equations where the inflow performance of the gas wells was verified, the allocation rates were calculated at every desired point of the network. Having an integrated platform proved to be advantageous since it provided a seamless link between different relevant manual and real-time databases and well / network models bringing unique capabilities and benefits. While comparing this integrated and holistic approach versus the previously established one, it was highlighted that production allocation using mainly choke sizes and well test as a sole source for well production can bring significant variations. This creates production mismatches at the well level; therefore, it portrays a misrepresentation of the actual field conditions. Numerous challenges, which are usually faced while calculating the production allocation process, were overcome during the development of this study, such as frequent surface network changes, lack of databases communication, and daily variations on the on/off wells’ status. Furthermore, the data management capabilities of the framework allowed data to be quickly accessible by the users whenever needed allowing them to visualize across the different teams and departments, taking actions when and where required. This standardized methodology provided consistency, reliability, and accuracy, which can be replicated on oil-producing fields and networks; it can be enhanced and scaled in order to incorporate other business processes such as well allowable calculation and voidage monitoring.

ANALISIS KEPUTUSAN PEMBELIAN KONSUMEN DI TOKO TRADISIONAL DALAM MENGHADAPI PERTUMBUHAN RITEL MODERN

ABSTRAKPenelitian ini bertujuan menganalisis keputusan pembelian konsumen di ritel tradisional dengan adanya pertumbuhan ritel modern yang terus meningkat, berdasarkan faktor-faktor lokasi, kenyamanan belanja, dan persepsi belanja masyarakat pada ritel tradisional dengan adanya pertumbuhan ritel modern yang terus meningkat. Jenis penelitian adalah penelitian kuantitatif. Data penelitian berupa data primer yang diperoleh melalui penyebaran kuesioner. Pemilihan sampel menggunakan metode judgement sampling, yaitu para responden dipilih dengan alasan tertentu, yaitu para pedagang toko tradisional dan masyarakat sekitar. Metode analisis data menggunakan structural equation model dengan Smart-PLS. Hasil penelitian menunjukkan bahwa lokasi tidak memiliki pengaruh signifikan terhadap keputusan pembelian pada ritel tradisional, kenyamanan belanja dan persepsi belanja memiliki pengaruh signifikan terhadap keputusan pembelian pada ritel tradisional. Implikasi hasil penelitian ini terhadap ritel tradisional agar dapat bersaing adalah memperhatikan kenyamaan berbelanja, sehingga peningkatan fasilitas seperti penggunan pendingin ruangan, dekorasi, dan pelayanan yang lebih baik adalah sangat penting. ABSTRACTThis study aims to analyze consumer purchasing decisions in traditional retail in the presence of modern retail growth continues to increase, based on location factors, shopping convenience, and people's perceptions of shopping at traditional retail with the increasing growth of modern retail. This type of research is quantitative research. Research data in the form of primary data obtained through the distribution of questionnaires. The sample selection used judgment sampling method, where the respondents were selected for certain reasons, namely the traditional shop traders and the surrounding community. The data analysis method uses a structural equation model with Smart PLS. The results showed that location did not have a significant effect on purchasing decisions at traditional retail, shopping convenience and shopping perceptions had a significant influence on purchasing decisions at traditional retail. The implication of the results of this study for traditional retailers to be able to compete is to pay attention to the convenience of shopping, so that improving facilities such as the use of air conditioning, decoration and better service is very important.

Dynamic analysis of ecological security in central Yunnan province, China from 1990 to 2017

Ecological security is an important content of national and regional security research. The Central Yunnan Province (CYP) has important location factors and social and economic development status, so ecological security research in CYP is quite relevant. For the purpose of our research, we adopted the S-PRD (Ecological Insecurity-Pressure-Regulation-External Driving Force) conceptual model to establish an evaluation index system based on the four subsystems of water, land, atmosphere, and biology to evaluate the ecological security of central Yunnan from 1990 to 2017 and analyse the characteristics of dynamic evolution. We used the grey incidence matrix analysis method to conduct retrospective grey relational evaluation and retrospective grey sensitivity evaluation and analyse the influencing factors of ecological security. The study conclusions showed that the security of the water system has been fluctuating and rising, and has stabilized in the past five years. Both the land system and the biological system have shown an upward trend, but the degree of change was relatively small, and the atmospheric system was stable. The evaluation value of the ecological environment insecurity of the four cities is generally on the rise. The control measures have the greatest impact on ecological insecurity, the second important factor is an external driving force.

Hydrogen Station Location Planning via Geodesign in Connecticut: Comparing Optimization Models and Structured Stakeholder Collaboration

Geodesign is a participatory planning approach in which stakeholders use geographic information systems to develop and vet alternative design scenarios in a collaborative and iterative process. This study is based on a 2019 geodesign workshop in which 17 participants from industry, government, university, and non-profit sectors worked together to design an initial network of hydrogen refueling stations in the Hartford, Connecticut, metropolitan area. The workshop involved identifying relevant location factors, rapid prototyping of station network designs, and developing consensus on a final design. The geodesign platform, which was designed specifically for facility location problems, enables breakout groups to add or delete stations with a simple point-and-click operation, view and overlay different map layers, compute performance metrics, and compare their designs to those of other groups. By using these sources of information and their own expert local knowledge, participants recommended six locations for hydrogen refueling stations over two distinct phases of station installation. We quantitatively and qualitatively compared workshop recommendations to solutions of three optimal station location models that have been used to recommend station locations, which minimize travel times from stations to population and traffic or maximize trips that can be refueled on origin–destination routes. In a post-workshop survey, participants rated the workshop highly for facilitating mutual understanding and information sharing among stakeholders. To our knowledge, this workshop represents the first application of geodesign for hydrogen refueling station infrastructure planning.

Measuring the Differences of Public Health Service Facilities and Their Influencing Factors

The equitable distribution of public health facilities is a major concern of urban planners. Previous studies have explored the balance and fairness of various medical resource distributions using the accessibility of in-demand public medical service facilities while ignoring the differences in the supply of public medical service facilities. First aid data with location information and patient preference information can reflect the ability of each hospital and the health inequities in cities. Determining which factors affect the measured differences in public medical service facilities and how to alter these factors will help researchers formulate targeted policies to solve the current resource-balance situation of the Ministry of Public Health. In this study, we propose a method to measure the differences in influence among hospitals based on actual medical behavior and use geographically weighted regression (GWR) to analyze the spatial correlations among the location, medical equipment, medical ability, and influencing factors of each hospital. The results show that Wuhan presents obvious health inequality, with the high-grade hospitals having spatial agglomeration in the city-center area, while the number and quality of hospitals in the peripheral areas are lower than those in the central area; thus, the hospitals in these peripheral areas need to be further improved. The method used in this study can measure differences in the influence of public medical service facilities, and the results are consistent with the measured differences at hospital level. Hospital influence is not only related to the equipment and medical ability of each hospital but is also affected by location factors. This method illustrates the necessity of conducting more empirical research on the public medical service supply to provide a scientific basis for formulating targeted policies from a new perspective.

Factors Affecting the Long-Term Development of Specialized Agricultural Villages North and South of Huai River

Village-level agricultural specialization in China is becoming increasingly important for rural development. However, existing knowledge of specialized agricultural villages (SAVs) based on singular assessment criteria and data describing static time points becomes insufficient in addressing multifaceted developmental questions today. We examined the long-term development patterns of SAVs in Anhui, China, with attributes from multiple angles, and explored how local factors affected SAV development across space and time using random forest regression. We found that as time elapsed, economic rationality drove specialized farmers closer to sale dependency and made SAVs more susceptible to market and economic factors, which builds upon previous findings analyzing SAVs at specific time points and consolidates the importance of market factors in the long-term development of SAVs. However, this susceptibility manifests differently in these two geographically contrasting regions north and south of Huai River. The northern SAVs received increased influences from market and economic factors, while the southern SAVs were continuously controlled by market and location factors. The dynamic spatial and temporal patterns of the two regions point to different dependencies, which emphasized local sales in the north and distant sales in the south. We propose that policies and strategies regarding SAV development accommodate these dynamics and address appropriate influencing factors accordingly.

Identifikasi Determinasi Faktor Penentu Lokasi Pembangunan Permukiman Masyarakat Dan Perumahan Yang Dibangun Oleh Swasta Di Kabupaten Muna

Abstrak: Pertambahan penduduk di Kabupaten Muna menyebabkan peningkatan kebutuhan akan rumah. Penelitian ini bertujuan untuk: (1) mengidentifikasi faktor penentuan lokasi pembangunan permukiman masyarakat dan perumahan yang dibangun oleh swasta; (2) menganalisis perbedaan faktor dominan dalam penentuan lokasi pembangunan permukiman oleh masyarakat dan perumahan yang dibangun oleh swasta. Metode analisis data yang digunakan pada penelitian ini adalah analisis kuantitatif dan analisis kualitatif yang dilanjutkan dengan analisis faktor lokasi pembangunan permukiman dan pembangunan perumahan. Hasil penelitian ini antara lain: (1) Faktor penentu lokasi pembangunan permukiman oleh masyarakat dengan 3 urutan teratas antara lain: pelayanan air, listrik dan telepon, faktor kondisi jaringan lingkungan, dan keberadaan ruang terbuka. Faktor penentu lokasi pembangunan perumahan oleh swasta adalah faktor tingkat kemiringan lahan, faktor ketersediaan jaringan listrik, faktor kedekatan jarak, dan faktor kemudahan dalam pemasaran; (2) Faktor dominan dalam penentuan lokasi pembangunan permukiman oleh masyarakat antara lain tempat tinggal asal, ketersediaan lahan yang luas, harga tanah yang terjangkau, masuk dalam wilayah kota dan kondisi lingkungan. Sedangkan pengembang cenderung mempertimbangkan faktor letak, yaitu lokasi termasuk dalam daerah pengembangan kota, kedekatan jarak, lokasi yang strategis, harga tanah dan untuk memenuhi kebutuhan perumahan daerah.Kata kunci: Faktor penentu lokasi permukiman, faktor penentu lokasi perumahanAbstrak: Population growth in Muna Regency causes an increase in the need of house.This research aims to: (1) identify factors in determining the location of settlements development and housing development; (2) analyze the differences of dominant factors in determining the location of residential development by the community and housing builtby the private sector. Data in this research is analized by using quantitative and qualitative analysis followed by factor analysis of location of settlements development and housing development. The results of this study shows that: (1) The determining factors for the location of settlement development by the community with the top 3 ranking, namely, water, electricity and telephone services, environmental network conditions, and the existence of open spaces. The determining factors for the location of housing development by the private sector are the land slope, the availability of the electricity network, the proximity factor, and the convenience factor in marketing; (2) The dominant factors in determining the location of residential development by the communityi.e.the original place of resident, the available land is wide, affordable land prices, included in the city area and environmental conditions. Mean while, private sector tend to consider location factors, namely location is in urban development areas, proximity to distances, strategic locations, land price and to meet regional housing needs.Keywords: Determining factors of settlement location, determining factors of housing location

AWARENESS OF FEMALE TOURISTS ON ASPECTS OF SAFETY AND SECURITY THREATS WHILE ON VACATION IN KOTA KINABALU

The issue of tourist safety and security is not new, but studies on the awareness of female tourists on aspects of safety and security threats are still lacking and limited. Therefore, this article aims to (i) identify the types and factors of security threats that concern female tourists when traveling in a city and (ii) to examine their awareness of the safety aspects when traveling in the city. In the context of this study, the location chosen is the city of Kota Kinabalu, Sabah. This study uses quantitative approach through distribution of questionnaires. To this end, 93 respondents were selected randomly from those involved in women's tourism in this city. The findings showed respondents were concerned about the threat of being threatened or robbed, followed by the threat of abduction and rape. Subsequently, there were two main factors that posed a threat to female tourists when travelling in the city, namely location factors and congestion of tourist areas. For situations that secure safety when traveling in the city, the mean score of ‘very high’ is when there is a presence of security officers or police on duty in tourist areas. Meanwhile, the situation that recorded a ‘low’ mean score was when walking in the tourist hotspot at night. For the aspect of female tourists’ awareness of the safety aspects when travelling, the mean score for ‘very high’ is on the statement 'I am more concerned with safety when travelling in a new place'. They also scared when approached by a beggar while on vacation in Kota Kinabalu. In summary, the findings of this study are important and relevant to the stakeholders who are directly involved in enhancing the safety features of the city which will ultimately increase the confidence of tourists especially women to travel with a sense of safety while enjoying Kota Kinabalu city.