The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
현재 일본에서는 자유여행의 비중이 늘어나고 있다. 따라서 여정 계획을 뒷받침하는 초기 연구가 제시되었습니다. 그러나 이러한 연구에서는 농촌관광에 대한 고려가 충분히 이루어지지 않았다. 예를 들어, 관광객은 농촌 지역을 여행할 때 대중교통을 이용하는 경우가 많지만, 대중교통 이용 일정을 계획하는 데 어려움을 겪는 경우가 많습니다. 여행 일정을 계획하더라도 역이나 버스 정류장에서 오랜 대기 시간이 수반됩니다. 그럼에도 불구하고, 이전 연구에서는 여정 계획에서 이러한 요소를 충분히 고려하지 않았습니다. 한편, 여행일정 작성 외에 내비게이션도 필요하다. 특히 최근 내비게이션에서는 동적 정보를 고려하는 경우가 많습니다. 대중교통을 이용한 여행 중 일정 변경은 중요한 동적인 정보입니다. 예를 들어, 관광객은 예정보다 일찍 버스 정류장에 도착합니다. 이 경우, 여행 일정에 포함된 대기 시간보다 대기 시간이 길어집니다. 반대로 일정보다 늦게 출발하면 버스를 놓칠 위험이 있습니다. 그럼에도 불구하고, 이전 연구에서는 이러한 일정 변경을 충분히 고려하지 않았습니다. 본 논문에서는 농촌 지역의 관광 경험을 향상시키기 위해 대기 시간을 고려한 관광 애플리케이션을 구축합니다. 정적 대기 시간과 동적 대기 시간을 이용하여 대기 시간을 정의합니다. 정적 대기 시간은 일정에 포함된 대기 시간입니다. 동적 대기시간은 이동 중 일정 변경으로 인해 발생하는 대기 시간입니다. 이 애플리케이션을 사용하면 계획 기능에서 정적 대기 시간이 고려됩니다. 내비게이션 기능에서는 동적 대기 시간을 고려합니다. 이 애플리케이션의 유효성을 강조하기 위해 야마가타현 쓰루오카시에서 계획 기능 실험과 내비게이션 기능 실험이 수행되었습니다. 그 결과를 토대로 관광객은 기획 기능을 이용하여 만족스러운 여행 일정을 쉽게 계획할 수 있음을 확인하였다. 또한, 내비게이션 기능이 추가 관광지를 추천해줌으로써 대기 시간을 효과적으로 활용할 수 있음을 확인했습니다.
Daiki SAITO
Tsuruoka College
Jeyeon KIM
Tsuruoka College
Tetsuya MANABE
Saitama University
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부
Daiki SAITO, Jeyeon KIM, Tetsuya MANABE, "Tourism Application Considering Waiting Time" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 3, pp. 633-643, March 2023, doi: 10.1587/transfun.2022EAP1027.
Abstract: Currently, the proportion of independent travel is increasing in Japan. Therefore, earlier studies supporting itinerary planning have been presented. However, these studies have only insufficiently considered rural tourism. For example, tourist often use public transportation during trips in rural areas, although it is often difficult for a tourist to plan an itinerary for public transportation. Even if an itinerary can be planned, it will entail long waiting times at the station or bus stop. Nevertheless, earlier studies have only insufficiently considered these elements in itinerary planning. On the other hand, navigation is necessary in addition to itinerary creation. Particularly, recent navigation often considers dynamic information. During trips using public transportation, schedule changes are important dynamic information. For example, tourist arrive at bus stop earlier than planned. In such case, the waiting time will be longer than the waiting time included in the itinerary. In contrast, if a person is running behind schedule, a risk arises of missing bus. Nevertheless, earlier studies have only insufficiently considered these schedule changes. In this paper, we construct a tourism application that considers the waiting time to improve the tourism experience in rural areas. We define waiting time using static waiting time and dynamic waiting time. Static waiting time is waiting time that is included in the itinerary. Dynamic waiting time is the waiting time that is created by schedule changes during a trip. With this application, static waiting times is considered in the planning function. The dynamic waiting time is considered in the navigation function. To underscore the effectiveness of this application, experiments of the planning function and experiments of the navigation function is conducted in Tsuruoka City, Yamagata Prefecture. Based on the results, we confirmed that a tourist can readily plan a satisfactory itinerary using the planning function. Additionally, we confirmed that Navigation function can use waiting times effectively by suggesting additional tourist spots.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAP1027/_p
부
@ARTICLE{e106-a_3_633,
author={Daiki SAITO, Jeyeon KIM, Tetsuya MANABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Tourism Application Considering Waiting Time},
year={2023},
volume={E106-A},
number={3},
pages={633-643},
abstract={Currently, the proportion of independent travel is increasing in Japan. Therefore, earlier studies supporting itinerary planning have been presented. However, these studies have only insufficiently considered rural tourism. For example, tourist often use public transportation during trips in rural areas, although it is often difficult for a tourist to plan an itinerary for public transportation. Even if an itinerary can be planned, it will entail long waiting times at the station or bus stop. Nevertheless, earlier studies have only insufficiently considered these elements in itinerary planning. On the other hand, navigation is necessary in addition to itinerary creation. Particularly, recent navigation often considers dynamic information. During trips using public transportation, schedule changes are important dynamic information. For example, tourist arrive at bus stop earlier than planned. In such case, the waiting time will be longer than the waiting time included in the itinerary. In contrast, if a person is running behind schedule, a risk arises of missing bus. Nevertheless, earlier studies have only insufficiently considered these schedule changes. In this paper, we construct a tourism application that considers the waiting time to improve the tourism experience in rural areas. We define waiting time using static waiting time and dynamic waiting time. Static waiting time is waiting time that is included in the itinerary. Dynamic waiting time is the waiting time that is created by schedule changes during a trip. With this application, static waiting times is considered in the planning function. The dynamic waiting time is considered in the navigation function. To underscore the effectiveness of this application, experiments of the planning function and experiments of the navigation function is conducted in Tsuruoka City, Yamagata Prefecture. Based on the results, we confirmed that a tourist can readily plan a satisfactory itinerary using the planning function. Additionally, we confirmed that Navigation function can use waiting times effectively by suggesting additional tourist spots.},
keywords={},
doi={10.1587/transfun.2022EAP1027},
ISSN={1745-1337},
month={March},}
부
TY - JOUR
TI - Tourism Application Considering Waiting Time
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 633
EP - 643
AU - Daiki SAITO
AU - Jeyeon KIM
AU - Tetsuya MANABE
PY - 2023
DO - 10.1587/transfun.2022EAP1027
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2023
AB - Currently, the proportion of independent travel is increasing in Japan. Therefore, earlier studies supporting itinerary planning have been presented. However, these studies have only insufficiently considered rural tourism. For example, tourist often use public transportation during trips in rural areas, although it is often difficult for a tourist to plan an itinerary for public transportation. Even if an itinerary can be planned, it will entail long waiting times at the station or bus stop. Nevertheless, earlier studies have only insufficiently considered these elements in itinerary planning. On the other hand, navigation is necessary in addition to itinerary creation. Particularly, recent navigation often considers dynamic information. During trips using public transportation, schedule changes are important dynamic information. For example, tourist arrive at bus stop earlier than planned. In such case, the waiting time will be longer than the waiting time included in the itinerary. In contrast, if a person is running behind schedule, a risk arises of missing bus. Nevertheless, earlier studies have only insufficiently considered these schedule changes. In this paper, we construct a tourism application that considers the waiting time to improve the tourism experience in rural areas. We define waiting time using static waiting time and dynamic waiting time. Static waiting time is waiting time that is included in the itinerary. Dynamic waiting time is the waiting time that is created by schedule changes during a trip. With this application, static waiting times is considered in the planning function. The dynamic waiting time is considered in the navigation function. To underscore the effectiveness of this application, experiments of the planning function and experiments of the navigation function is conducted in Tsuruoka City, Yamagata Prefecture. Based on the results, we confirmed that a tourist can readily plan a satisfactory itinerary using the planning function. Additionally, we confirmed that Navigation function can use waiting times effectively by suggesting additional tourist spots.
ER -