Using a four-step heuristic algorithm to design personalized day tour route within a tourist attraction

Zheng, Weimin; Liao, Zhixue; Qin, Jing

doi:10.1016/j.tourman.2017.05.006

Cited by 94 publications

(31 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In those terms, the tourists are interested in improving the reality of concrete tourism offer. The designing plan of tourism for Bahía Solano could promote the route customization (Zheng, Liao, & Qin, 2017) and design services (Sánchez-Zárate, 2016), which can offer more realistic and personally satisfying activities according to the positive expectation of the visitors. So, tourism could be provided with synergies (Rivera, 2017) of poverty reduction, and should be noticed about the promotion of opportunities which can give rise the wellbeing of the surrounding population (Jamieson et al, 2004).…”

Section: Resultsmentioning

confidence: 99%

Design tourist planning in Colombian lagged destination: Case study Bahía Solano

Antošová

Gómez

Gómez³

2019

JoTS

View full text Add to dashboard Cite

This article aims to the emergency of tourism activities linked with a landscape in a lagged west area of Colombia, concretely at the town of Bahía Solano. The main objective is to describe values in the qualitative explorative case study for proposing the tourism management process to the whole organization of activities in the lagged area as Bahía Solano. In spite of isolation and lack of connectivity, spontaneous market mechanism and flow of visitors contributed to a continuous development of economic activities that steam deep changes in local life. In consideration of initial conditions of the town, our approach poses interesting challenges here exposed. Firstly, we inquire about the possible effects of tourism on lagged places with qualitative exploratory study and we built profiles of local and foreign visitors interpreting their features and their expectation about this kind of destination. This contribution results the design tourism process planning as an opportunity to implement to the Pacific Ocean destination of Bahía Solano and will be used in the municipality as a part of the next step for the municipality tourism plan.

show abstract

Section: Resultsmentioning

confidence: 99%

Design tourist planning in Colombian lagged destination: Case study Bahía Solano

Antošová

Gómez

Gómez³

2019

JoTS

View full text Add to dashboard Cite

show abstract

“…Zheng et al [14] present a proposal for solving TTDP/OPTW by combining a GA and a difference evolution algorithm (DEA). They analyze both users (budget time available and tourists' preferences) and POIs.…”

Section: Related Workmentioning

confidence: 99%

Improving Itinerary Recommendations for Tourists Through Metaheuristic Algorithms: An Optimization Proposal

et al. 2020

View full text Add to dashboard Cite

In recent years, recommender systems have been used as a solution to support tourists with recommendations oriented to maximize the entertainment value of visiting a tourist destination. However, this is not an easy task because many aspects need to be considered to make realistic recommendations: the context of a tourist destination visited, lack of updated information about points of interest, transport information, weather forecast, etc. The recommendations concerning a tourist destination must be linked to the interests and constraints of the tourist. In this research, we present a mobile recommender system based on Tourist Trip Design Problem (TTDP)/Time Depending (TD)-Orienteering Problem (OP)-Time Windows (TW), which analyzes in real time the user's constraints and the points of interest's constraints. For solving TTDP, we clustered preferences depending on the number of days that a tourist will visit a tourist destination using a k-means algorithm. Then, with a genetic algorithm (GA), we optimize the proposed itineraries to tourists for facilitating the organization of their visits. We also used a parametrized fitness function to include any element of the context to generate an optimized recommendation. Our recommender is different from others because it is scalable and adaptable to environmental changes and users' interests, and it offers real-time recommendations. To test our recommender, we developed an application that uses our algorithm. Finally, 131 tourists used this recommender system and an analysis of users' perceptions was developed. Metrics were also used to detect the percentage of precision, in order to determine the degree of accuracy of the recommender system. This study has implications for researchers interested in developing software to recommend the best itinerary for tourists with constraint controls with regard to the optimized itineraries.

show abstract

“…Nearest neighbor metode heuristik yang digunakan untuk pemecahan masalah sebagai dasar untuk penentuan rute metode NN juga banyak digunakan. Algoritma heuristik yang memang berkinerja signifikan lebih baik dan realistis dalam pembentukan rute [15]. Untuk sejumlah kecil kota, masalah dapat dengan mudah dan cepat diselesaikan dengan algoritma nearest neighbor [16].…”

Section: Nearest Neighborunclassified

Penentuan Rute Pengiriman Barang Dengan Metode Nearest Neighbor

Martono¹,

Warnars²

2020

petir

View full text Add to dashboard Cite

Semakin cepat barang sampai ke konsumen maka menjadi lebih mudah untuk mendapatkan barang dan keuntungan perusahaan semakin bertambah. Pada pendistribusian membentuk salah satu pemecahan masalah untuk mencari rute dengan meminimumkan jarak dari lokasi gudang ke toko dan memiliki jumlah permintaan barang yang berbeda-beda. Menggunakan metode nearest neighbor untuk menyelesaikan penentuan rute distribusi barang dari gudang ke toko, dengan tujuan mengurangi total jarak pengiriman, waktu dan beban biaya yang dibebani perusahaan. Hasil pencarian rute menggunakan metode nearest neighbor menghasilkan jumlah rute paling sedikit dibandingkan dengan sebelum menggunakan metode dan pada total jarak dengan menggunakan metode 98610 meter atau 98,61 km sedangkan jika pada rute sebelum mengunakan metode 124198 meter atau 124,198 km terjadi pengurangan jarak 25588 atau 25,588 atau sebesar 20.6026 %.

show abstract

Using a four-step heuristic algorithm to design personalized day tour route within a tourist attraction

Cited by 94 publications

References 58 publications

Design tourist planning in Colombian lagged destination: Case study Bahía Solano

Design tourist planning in Colombian lagged destination: Case study Bahía Solano

Improving Itinerary Recommendations for Tourists Through Metaheuristic Algorithms: An Optimization Proposal

Penentuan Rute Pengiriman Barang Dengan Metode Nearest Neighbor

Contact Info

Product

Resources

About