Travel Attractions Research Articles

Automated photo filtering for tourism domain using deep and active learning: the case of Israeli and worldwide cities on instagram

Social media platforms like Instagram significantly influence tourists’ travel decisions by providing them with valuable insights, recommendations, authentic information, and points of interest. However, photos shared with location-specific hashtags, even those related to tourist attractions, do not always reflect the actual destination, creating challenges for potential visitors seeking accurate information. To assist tourists in finding pertinent tourism information for specific destinations, we propose VISTA: Visual Identification of Significant Travel Attractions. The proposed method employs deep learning and active learning techniques to automatically classify photos into: ‘Tourism-Related’ photos (i.e., photos related to tourism) and ‘Non-Tourism-Related’ photos (i.e., photos unrelated to tourism). To train our machine learning classifier, we created a dataset containing photos of the 10 most popular Israeli cities on Instagram. The classifier obtained an accuracy score of 0.965 and a weighted F1 score of 0.964. Evaluating our classifier’s global generalization on the InstaCities100K dataset, derived from InstaCities1M, yielded an accuracy score of 0.958 and a weighted F1 score of 0.959. The effectiveness of VISTA was demonstrated by comparing tourism-related and non-tourism-related photos in terms of photo proportion, user engagement, and object comparison. We found that most photos published on Instagram associated with cities are irrelevant to tourists and that tourism-related photos received more likes than non-tourism-related photos. Finally, there was a low overlap between objects in the two photo collections. Based on these results, we conclude that VISTA can help tourists tackle the problem of finding relevant tourism-related photos among the high volume of photos available on Instagram.

Prospects and Challenges of Tourism Industry in Meghalaya- Socio-Geographical Approach

The paper discussed prospects and challenges of tourism industry in Meghalaya. It has found that tourism industry is growing in Meghalaya. It benefits on employment creation, income generation, revenue, foreign exchange, infrastructure building etc. Meghalaya is known for natural beauty, lush greenery, and hills. There are opportunities of ecotourism, adventure tourism, cultural tourism, and agri-tourism. It is rich in flora and fauna, heritage and traditions, culture, wildlife etc. Travellers can involve in rock climbing, water sports, caving, trekking, and hiking. Meghalaya has numerous travel attractions for tourists. Seven Sisters Falls, Mawphlang Sacred Forest, Elephant Falls, Mawsynram, Cherrapunji, Dawki River, Laitlum Canyon, Living Root Bridges, Umiam Lake and Nohakalikai Falls are the popular tourist destinations. Abysmal infrastructure, lack of alternatives means of transport, boundary issues, poor connectivity, ethnic conflicts, are the major challenges. Therefore, Government should implement proper policies for the mitigating the constrains and development of tourism in the state

SUITABILITY ANALYSIS OF PEDESTRIAN WAYS WITH THE ACTIVE LIVING STREET CONCEPT APPROACH

Kampung Pelajar is an educational area that causes travel attractions on the surrounding roads so there is a tendency to experience traffic density during daytime and night. Today the implementation of the government zoning system in education has encouraged equal access to educational services through a student admission system that considers the distance from home to the school. The implementation of this system has an impact on reducing loading on roads that have indications of high density due to student movement during rush hour. Based on initial observations, walking on pedestrian paths tend to be less when compared to vehicle. This phenomenon causes a decrease in the number of pedestrians because the function of the pathway is not optimal. This research aims to evaluate the pedestrian way suitability with the Active Living Street concept, by Mapping analysis with comparative description. The research results showed that based on the examination of four existing segmented routes, the majority of pedestrian way elements are not meet the criteria, such as obstacle, type of pavement, route dimension, signage and road marking, seatings, bollard, and safety barrier.

Distribution of Electric Vehicle Travel in Dalian City of China

Background:: Since the second half of 2021, the prices of natural gas, coal and oil have soared, but at the same time, the Russia-Ukraine conflict is likely to become a catalyst for Europe and the world to accelerate the green and low-carbon transformation of energy, prompting countries to accelerate investment in renewable energy, improve energy security and achieve energy independence and the energy crisis started in Europe and eventually spread around the world. Under the new circumstances, the global green and low-carbon energy transition is imperative. The International Energy Agency released the "2023 Global Electric Vehicle Outlook" report, which showed that global electric vehicle sales will grow by 35% in 2023 from the previous year to 14 million units, increasing the total share of the overall vehicle market to 18%. Replacing traditional fossil fuels with low energy consumption and low pollution has become a trend in the automotive industry. Objective:: Therefore, this paper studies the travel distribution pattern of electric vehicles in Dalian city, which paves the way for the future development of the electric vehicle industry. Method:: First of all, this paper predicted the number of electric vehicles in Dalian in the next five years. Next, the gravity model and double-constraint gravity model were used to predict and analyze the travel generation, attraction and distribution of each traffic district. The gravity model is based on the concept of gravity in physics, this model can simulate the travel attraction between transportation communities. The dual constraint gravity model is an extension of the gravity model, taking into account the impact of factors other than distance on traffic distribution. For example, land type, land intensity utilization coefficient, etc. Finally, taking Shahekou District of Dalian city as an example, this paper made an empirical analysis of the travel distribution of electric vehicles in Shahekou District. Results:: This article fully considers the impact of land use types on residents' travel. Residential land is an important factor affecting travel volume, while public facility land is an important factor affecting attraction volume. For areas with high travel attractions, it is necessary to consider building more charging facilities around them to solve the problem of difficult charging. The distribution results showed that the amounts of travel in each traffic community were not much different, but their attraction volumes were greatly different. Conclusion:: After understanding the distribution of electric vehicle traffic in various residential areas, it is possible to arrange the planning of public charging facilities more reasonably. The research provides practical guidance for the transportation planning of electric vehicles in such urban cities as Dalian city.

Homestay Service for Tourist Satisfaction in Rural Areas

Homestay services are less well-known than hotel services for tourism. However, homestay is an important aspect of tourism, not just as lodging but as a travel attraction. This study examines the influence of the homestay experience on tourist satisfaction and its significance within the context of the tourism industry. The homestay experience was examined using 244 survey questionnaires. This study demonstrated that homestay experience affects destination satisfaction and behavioural intention. Homestay services are a destination attraction because tourists want to experience the destination's traditional culture. To increase destination satisfaction, include local cultural activities in the accommodation service. Therefore, this study has the potential to improve our knowledge of the hospitality sector broadly.

THE FACTORS THAT MOST INFLUENCE THE ATTRACTION OF THE MOVEMENT AT ST PAUL'S CATHOLIC MIDDLE SCHOOL, PALANGKA RAYA

Transportation is a basic need of an area that is used as an effort to improve the welfare of its population. Transportation planning is absolutely necessary to find the most efficient solution of the interaction of movement. Movement begins with the rise and pull of movement (Trip Generation). The education area is one of the land uses that generates mass movements and has a large size. Therefore, research was conducted on the pull of movement in the educational area at St. Paul Catholic Junior High School Palangka Raya using multiple linear regression analysis. That way it can be known the factors that most affect the pull of movement as well as the best model that can be made. The study was carried out for 6 working days, namely on Monday-Saturday at peak hours. The collected vehicle data is then converted into passenger car units. The variables used are the pull of vehicle movement (Y), land area (X1), building area (X2), number of classes (X3), number of students (X4) and number of teachers and employees (X5). Analysis using SPSS software version 26. Various data tests were carried out to obtain appropriate results, the results of the analysis and tests that have been carried out concluded the best model of total travel attraction (junior high school / hour), namely Y = -2645.194 + 4.194X4 + 6.452X5 where X4 is the number of students and X5 is the number of teachers and employees. Based on the results of the analysis, it is concluded that Factors whomost influence the pull of the movement are the number of students and the number of teachers and employees.

Promoting Food Tourism Through Digital Media With Special Reference To Sri Lanka As A Tourist Destination

Many travellers recognize food experiences as a must-do activity at travel destinations as much as the interest shown by them, Destination Management Organizations around the world have identified food as a part of special interest tourism and an experience that helps differentiate a destination’s offerings against competitors. The current study set out to explore whether travellers perceive food as a travel attraction that motivates them to travel to a destination and whether food can provide a memorable experience to such travellers and how well destination management organizations promote food tourism through digital media in a setting where many travellers search for information online. The study included a preliminary study in which the opinions of travellers were identified through a content analysis of experiences shared on online travel review sites and social media. Thestudy conducted a qualitative research approach where interviews were conducted to gain further insights into travellers’ food experiences. Further, the effectiveness of promoting food tourism through digital media by destination management organizations was analyzed through a content analysis of textual and visual content on websites. The findings of the study indicate that travellers consider food as a major motive to travel, as an experience booster, a novel and exciting experience, an experience beyond just eating, an aid to learning about locals’ lifestyle, an experience worth recreating and an experience that results in a change in lifestyle becoming a peak touristic experience. It was apparent that Local Destination Management Organizations do not effectively communicate these factors about food experiences through their digital platforms. This study is significant in a theoretical aspect as it presents seven characteristics of food experiences concerning the conceptual model of tourist experience and for applying this model to the digital context taking the destination management organization’s point of view. It is also significant in a practical aspect as it shows the potential of food to be a main attraction for Sri Lanka Tourism and portrays space for improvement in marketing such experiences,especially in digital media.

Marketing strategy for tourist attractions to increase intention to visits Pura Taman Ayun, Bali

Tourist attraction Taman Ayun is a tourist place on the island of Bali which is located in the village of Taman Ayun, District Abiansemal, Badung, Bali Province. The tourist attraction Taman Ayun is present in the form of long tail macaques, Pala Forest, and Pura Bukit Sari as its appeal. The number of tourists who visited Travel Attractions Taman Ayun from time to time experienced an increase after falling dramatically in 2012, amounting to 54 637 people, but the increase in the number of tourists is still quite slow and when compared with the visit of the peak that occurred in 2009 amounted to 225 672 people is still very low. The research aims to the right marketing strategic to increase rapidly tourists to visit Taman Ayun Travel Attractions. The method used in this study is through questionnaires, observation, library research, documentation, and interviews with the manager. The data obtained were analyzed using descriptive analysis techniques were used to analyze the marketing mix and strategy using SWOT analysis as well as using a Likert scale to analyze the questionnaires that were distributed.

Development of Puja Mandala as a Religious Tourism Attraction in Bali

Tourism in Bali is known by its icon as the main tourist destination in Indonesia. Bali is often used as a reference model for tourism development and is a priority for tourists looking for beach and natural tourism. In addition, Bali also has the Puja Mandala, a unique religious tourist icon that becomes its own attraction. Puja mandala is a worship area consisting of five religions: Hindu, Protestant Christian, Buddhist, Catholic, and Islam. It has become a research topic for the development of Puja Mandela as a religious travel attraction in Bali. This research is carried out using qualitative methods through observations, interviews, and library studies, and the results are analyzed descriptively. The research results show that the tourist development in Puja Mandala is good, but there are still some shortcomings, such as the small number of accommodations.

Evaluasi Tingkat Kepuasan Pengunjung Pada Kawasan Pusat Perbelanjaan di Pusat Perbelanjaan Mentaya

Travel attraction, especially in the Mentaya Shopping Center shopping area, is one of the problems that causes congestion. Therefore, it is necessary to solve the transportation problem. The first step is to know the characteristics of the trip attraction and evaluate the level of visitor satisfaction with the current condition of the Mentaya Shopping Center. The research was conducted by distributing questionnaires to 105 respondents at the Mentaya Shopping Center. The analysis used is descriptive analysis to determine the characteristics of the trip attraction and the measurement of the results of the level of visitor satisfaction using a Likert scale. Based on data from filling out questionnaires by 105 respondents, it is known that the average visitor is 21-30 years old, female, most of them work as private workers with the last education of high school (SMA), the average travel time is 20 minutes, the average travel distance is 15 km, the mode used is a motorbike, the highest average income of visitors is Rp. 2,000,000 – Rp. 4,000,000, the origin of most visitors coming from home, the intensity of the visitor's trip for 1 week is 1 time, the purpose of visitors is to buy basic goods. In general, visitors are satisfied with the current state of the Mentaya Shopping Center with a satisfied percentage of 49.5%.

Factors Affecting Tourists' Revisit Decision: A Quantitative Analysis

This quantitative research study aimed to investigate the impact of travel attraction, facility, price, and accessibility on tourists' decision to revisit Banyubiru Pasuruan. The sample comprised 95 visitors to Banyubiru Pasuruan, and path analysis using SPSS software version 18.00 was employed as the analytical tool. The findings revealed that travel attraction, facility, price, and accessibility individually exerted a partial influence on the decision to revisit, while collectively, they significantly affected tourists' decision to revisit Banyubiru Pasuruan. These results contribute to the understanding of the factors influencing tourists' decision-making process and have important implications for destination management and marketing strategies aimed at enhancing visitor satisfaction and fostering repeat visits.
 Highlights:
 
 Factors influencing tourist decision: Explore the key factors that impact tourists' decision to revisit Banyubiru Pasuruan.
 Quantitative analysis: Employ a rigorous quantitative approach to examine the relationships between travel attraction, facility, price, accessibility, and tourist revisit decision.
 Implications for destination management: Provide valuable insights for destination managers to enhance visitor satisfaction and develop effective marketing strategies for encouraging repeat visits to Banyubiru Pasuruan.
 
 Keywords: Tourist decision, Revisit, Quantitative analysis, Factors, destination

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT WISATAWAN DI PANTAI MUTIARA INDAH DESA TANJUNG LIMAU KECAMATAN MUARA BADAK KABUPATEN KUTAI KARTANEGARA

Mutiara Indah Beach has tourist attractions such as the beautiful white sand that stretches along the coast, with marine biota decoration scattered along the beach due to waves swept away. Fish types of grouper, trakulu, gulama, and snapper are often found in Pangempang waters. This research is intended to find out how much influence the tourist attraction and facilities have on the interest of tourists visiting the Mutiara Indah beach.
 The design of this study used a survey method with a questionnaire as a data collection tool and involved 30 tourist respondents who visited Mutiara Indah beach in October 2019. The data collected were analyzed using multiple linear regression analysis tools consisting of t test, F test, regression coefficient and classic assumption test (data normality test, data reliability test).
 The results of this study indicate that all independent variables (tourist attractiveness and facilities) have a positive and significant effect on the interest of tourists visiting the Mutiara Indah beach with each significance Travel Attraction = 0,000 and Facilities table = 0.006, and the significance of F starting = 0,000, at Pantai Mutiara Indah in 2019.
 It is recommended for Mutiara Indah Beach Managers to increase promotion or add other facilities so that Mutiara Indah beach is better known.

Model Tarikan Perjalanan Pengunjung Pusat Perbelanjaan Java Mall Semarang

Java Mall is a shopping center in the city of Semarang which is located on a secondary collector road, namely the MT. Haryono which is the main trade route of the city of Semarang and is included in one of the Petawangi areas (Peterongan - Tawang - Siliwangi), namely the Peterongan trading area. The development of the development of the Java mall is a special attraction for visitors because every month there are events in the form of computer exhibitions, property, cars, etc., in addition there are cinemas and food markets. The problem that occurred in this research location is the traffic jams that occur due to the influence of the pull of the Java Mall shopping center directly accessed on Jl. MT. Haryono (Semarang). Congestion occurs on the road in front of the Java Mall due to the pull of the Java Mall so that new activities arise such as the use of road bodies for parking vehicles, online motorcycle taxi stops on the shoulder of the road, and street vendors who use the shoulder of the road. Based on these problems, preliminary research was conducted on travel attraction modeling to understand the contribution of Java Mall visitor vehicles to Mt. Haryono based on the development of the area of Java Mall activities. In this study quantitative methods are used. Trip attraction modeling in multi-activity shopping centers is influenced by the floor area of each building shown by the equation Y = 0.003 + 0.151 X1 + 0.052 X2 + 0.066 X3 + 0.091 X4. Calculation of the total trip rate of visitors resulting in a trip attraction generated by the Java Mall during peak hours is 0.066 people / m2, in this case the development of the Java Mall building is considered quite effective with several areas of activity therein.

Normalized Attraction Travel Personality Representation for Improving Travel Recommender Systems

Travel recommender systems (TRSs) aim to reduce travel-related search overload. A significant part of a TRS is representing attractions in a way that reflect the explicit and implicit features of attractions. However, traditional attraction representation methods may not provide a complete image of attractions. Building on the notions of user travel styles (UTSs) and the wisdom of crowds, we propose a method derived from topic-model-based models to represent travel attractions, called the Normalized Attraction Travel Personality (NATP) representation. This approach attempts to leverage the semantics of attraction reviews to model user travel personalities (UTPs), which collectively can construct the attraction travel personality (ATP) representation. Furthermore, we regularize and normalize the ATP representation to obtain our proposed representation. This NATP-based attraction representation could capture implicit characteristics of attractions revealed by the wisdom of crowds. Our experiments show that our representation method gained better results when evaluated against comparative approaches in terms of rating prediction and recommendation ranking quality, indicating the effectiveness of the proposed attraction representation. Lastly, we qualitatively investigate how our attraction representation surpasses the state-of-the-art representation methods.

Pola Kunjungan Pusat Perbelanjaan Di Pusat Kota Semarang (Studi Kasus: DP Mall)

Shopping center, as one of the land uses in trade and service activities, has a high intensity of travel demand to attract movement and cause travel attraction. Duta Pertiwi Mall is a shopping center that located in the center of Semarang City and has the potential to attract high numbers of visitors. This study aims to understand the relationship between travel attraction and the characteristics of trade and service areas through analysis of movement patterns at Duta Pertiwi Mall as a shopping center in the city center. The research method used is the analysis of movement patterns. The data that will be used in this research is the distribution of visitors from Duta Pertiwi Mall. The output produced in this study is Duta Pertiwi Mall has a regional service scale with visitors from out of town up to 14% and local visitors 86%.

PARKING PULL IN THE TAMAN PASUK KAMELUH TOURISM AREA (STREET S. PARMAN, PALANGKA RAYA CITY)

This type of research used in this research is descriptive research with a qualitative approach. The data needed to complete this research includes primary data obtained from field surveys which are used to obtain parking attraction and parking space capacity, while secondary data is obtained from the Perkim Service (Public Housing and Settlement Service) Palangka Raya City. The results of this study indicate that, Parking Space Capacity = 53 ÷ 0.75 = 70.6 motorbikes = 71 motorbikes, the highest parking accumulation is on Sunday at 15.00 WIB - 16.00 WIB for 62 motorbikes, the highest parking volume on Sunday is 258 vehicles/days/space, parking turnover rate (trun over) = 258 ÷ 145 = 1.7 vehicles/day/space, the average parking index per day is 10.71%, 11.41%, 6.1%, and park parking needs are 33 x 53 = 1,749 m2. Based on the results of the calculation of the parking attraction that occurs in the Taman Pasuk Kameluh area, Palangka Raya City, it is 258 vehicles/day/space. For travel attraction compared to the number of motorbike parking lots available to accommodate vehicles in the Kasuk Kameluh park area, it is 70.6 vehicles/day. So based on the results obtained, the demand for parking space exceeds the existing parking capacity, only 53 parking pedals (demand) exceed the existing parking capacity.

Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?

Reducing car dependency supports the creation of a more sustainable transport system. However, automated vehicles (AVs) are predicted to increase the attractiveness of car travel and decrease the use of public transport and active travel. This current study explored how travellers’ intention to use AVs and their current travel behaviour influence their expectations of how they will use public transport and active travel, once conditionally automated (SAE L3) vehicles (L3 AVs) are available.Survey data (collected during the EU H2020 L3Pilot project) from among current car users from eight European countries (n = 9118) was used. Respondents were asked about their current travel mode usage, intention to use L3 AVs, and expected changes in the use of public transport and active travel once L3 AVs are available. The respondents were divided into nine user segments based on their level of intention to use L3 AVs and multimodality.Most respondents did not foresee changes in their use of public transport (62%) or active travel (67%). A higher intention to use L3 AVs increased the probability of a traveller expecting to decrease their use of public transport and, to a lesser extent, active travel. Multimodal travellers used public transport and active travel regularly and were also more likely to see a change, either up or down, in their use of public transport and active travel. The results suggest that L3 AVs may pose a challenge to the sustainability by encouraging current users of public transport and active travel to switch to personal AVs.

Modeling Complexity of Urban Land use and Transportation In Semarang City

The development of urban areas will increase the travel demand of its population. Travel demand is often associated with the type of activity indicated by the type of land use. Travel demand can be predicted with developments in land use. The development of increasingly complex land uses will result in higher trip generation, so we need a model that can be used to estimate trip generation. The research objective is to understand the relationship between trip generation and travel attraction as a travel request with land use characteristics in the city of Semarang. The method used is spatial regression using variables Y (trip generation), X1 (housing area), X2 (trade area), X3 (industrial area), X4 (office area) and X5 (education area). All data uses spatial units in the kelurahan. Spatial regression results indicate that the movement in the city of Semarang is strongly influenced by housing activities, trade activities and offices. Industrial and educational activities make less significant contribution. The mathematical model of spatial regression of population movements in the city of Semarang can be denoted as follows Y = 626,41 + 28,69X1 + 0,06X2 + 5,49X3-18,84X4-10,71X5.

Improvement of Technology of Passenger Intermodal Transportation with Involvement of Railway Transport in the Conditions of Tourism Development

Purpose. The main purpose of the authors is to define and methodically substantiate the ways to increase the efficiency of intermodal passenger transportations with the involvement of high-speed trains as an auxiliary mode of transport in terms of sea and river tourism. Methodology. In the process of research the following was used: the method of factor analysis – to determine the factors influencing the attractiveness of tourist travel using high-speed trains as ancillary transport; method of skipping stops – to increase the efficiency of using high-speed trains as an auxiliary mode of transport when making tourist trips; methods of construction and training of generative-adversarial networks for the formation of model of passenger flows forecasting, on the basis of historical data of multivariate time series; method of genetic algorithms – to optimize the model of mixed-integer programming, which allows obtaining the optimal scheme of high-speed trains on the line. Findings. In order to preserve the attractiveness of tourist travels and increase the route speed of trains, it is proposed to improve the technology of planning their work based on the method of skipping stops. A mathematical model of mixed-integer programming has been formed, which simultaneously provides the attractiveness of tourist travel and profitability for railway operators. To prepare the initial data, a method for forecasting passenger flows based on multivariate time series has been developed. The optimization procedure of the generated model was implemented in the form of software in the Matlab language. Originality. The method of skipping stops, which was first used to improve the technology of intermodal passenger traffic, was further developed in the work. An original method for predicting passenger flows based on multivariate time series using a modern model of generative-competitive neural networks is proposed. Practical value. The obtained results are aimed at improving the methodological approaches to the formation of modern technologies of intermodal passenger transportation and the realization of the potential of high-speed rail transportations as a basis for the comprehensive development of tourism.

ANALISIS DAMPAK TARIKAN KENDARAAN DI PUSAT PERBELANJAAN CIREBON SUPER BLOCK KOTA CIREBON

Cirebon Super Block (CSB) Mall is a fairly solid place to sell goods in the city of Cirebon. With the establishment of the Cirebon Super Block (CSB) in the city of Cirebon, it will cause vehicle traction on the roads around the Cirebon Super Block (CSB) and will increase traffic volume. The construction of these shopping centers also has an impact on the surrounding road sections, namely in the form of a reduction in the level of service (LOS) which at a certain point will cause congestion. This is due to increased movement due to increased commercial activities or activities on these roads. Travel attraction is a modeling stage that estimates the amount of movement originating from a zone or land use and the amount of movement attracted to a land use or zone. Cirebon Super Block Mall has generated quite a lot of vehicle traction on the Cipto Mangunkusumo road. The biggest vehicle pull on Jalan Cipto Mangunkusumo occurred on weekends (Sundays) at 17.00-18.00 which was 687.6 pcu / hour where the volume of vehicles on Jalan Cipto Mangunkusumo 3086.4 pcu / hour had an impact of 22.3%.