• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.1236-1251
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• 2013

Sharing geo-tagged photos has been a hot social activity in the daily life because these photos not only contain geo information but also indicate people's hobbies, intention and mobility patterns. However, the present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we first propose an Interest Measure Ratio to rank the hot spots based on density-based spatial clustering arithmetic. Then we apply the Hidden Semi-Markov model and Mean Value method to demonstrate migration discipline in the hot spots and restore the significant region sequence into complete GPS trajectory. At the end of the paper, a novel experiment method is designed to demonstrate that the approach is feasible in restoring route, and there is a good performance.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.416-423
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• 2009

From marketing perspectives, WOM(Word-of-Mouth) is one of the communication methods for travelers. It can be an instrument of the effect on tourist decision. The growing predominance of internet use has further highlighted the need for understanding of UCC(User-created contents) tourism information such as travel experience and travel recommendation. This paper was to examine usage patterns of UCC tourism information using experimental design and contents analysis. The result indicated that there were qualities of UCC tourism information. That is useful implication to tourism information-related marketers in destination marketing.

• Journal of Korean Society of Transportation
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• v.4 no.2
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• pp.37-58
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• 1986

Since 1960's there have been conducted quite numbers of origin and destination (0-D) surveys in Korea, Most of them, however, were to be said not so successful. In this paper, it was investigated that why the previous 0-D surveys were failed, and that how it could be improved. The findings of this study are: 1. The collection of sample data itself was performed relatively well, but the problem was in the improper expansion methods which were applied. 2. To improve the expansion methods, it should be performed not only the dwelling unit-based sample surveys but also commercial vehicle survey, cordon line survey, screen line counts and other auxiliary travel surveys like transit patronage survey, vehicle miles survey etc. at the same time. 3. To expand the sample surveyed data in a proper way, the adjustment factors should take a disaggregate form and also should be applied not to the specific trips, but to the specific trip makers to avoid the bias which could be caused by the application of adjustment factors in a way that has been used previously. 4. If there is no considerable change in travel patterns, we can synthesize the present 0-D data with past surveyed sample data, using present statistic data in the same way which was developed in this paper when expanding and adjusting sample data.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.2 s.109
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• pp.1-15
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• 2005

The purpose of this paper is to classify zones disrupting green spaces in city and to evaluate of their grades. The results are as follows; L There were 158 green spaces in Dalsu-gu. The 158 green spaces were classified 4 patterns and minutely classified into 9 types. The area of the 'nature park' type was turned out to be $70.1\%$ of the total area of green spaces in Dalsu-gu, then the type was considered as a important part of the green-network in Dalsu-gu. The 9 types such as 'nature park', 'river', 'neighborhood park' and so on were analysed with ecological indexes. 2. Based on the ecological indexes of 'ratio of the green space', 'features of the surrounding matrix' and 'travel distance of the wildlives' , zones disrupting green spaces were ranging widely and re-divided to 236 sectors. 3. The analysis results for classifying the grades were that grade I appeared over industrial complex and housing complex widely. On the other side, grade II and III appeared around or between nature park and neighboring park Consequently, it was necessary to consider the grade and make zones disrupting green spaces into green space for improving green network.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.127-138
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• 2019

This study was to evaluate the walking speed of elderly people by using the travel route big data collected by travel diary and smart phone application. We analyzed the change of walking behavior in the residential street environments of the elderly whether they had a company or not. We interpreted the meaning based on previous studies. In addition, the characteristics of elderly people's use of the residential street environment were analyzed by comparing the change in spatial speed according to the companion. The result reveals that the usage patterns of the residential street environments change depending on whether they were accompanied or not. First, the elderly tend to do more social activities while walking alone than when they were accompanied. When they were accompanied the social activities occur in empty lot near the residential area. However, the social activities of the elderly occur in open space such as neighborhood park or playground while walking alone. Finally, This study has strength that it empirically analyzes the elderly's walking behavior and usage paths in small outdoor spaces, including residential streets.

• Journal of the Korean Geographical Society
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• v.40 no.5 s.110
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• pp.514-532
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• 2005

The purpose of this study is to critically examine conventional spatial measures of individual accessibility, which are based on the notion of spatial proximity, the single reference location, and the unlinked travel model. Using space-time accessibility measures with the travel-activity diary data set of Portland Metro, US, three expectations from spatial measures on spatial patterns of individual accessibility were empirically examined: (1) does individual accessibility decrease with an increase of distance from the CBD?; (2) does the spatial pattern of accessibility resemble that of urban opportunity density pattern?; and (3) are spatial patterns of individual accessibility of different socio- demographic population groups basically similar as people in the same area share the same geographic characteristics regardless of gender, race, age, and so on? First of all, the results showed that spatial variations in individual accessibility were not directly determined by spatial proximity and opportunity density as suggested by previous accessibility measures. The spatial pattern of individual accessibility was dramatically different from that of urban opportunity density High peaks of accessibility level were found far away from the CBD and regional centers. This finding might be associated with the importance of multi-reference locations and linked travels in shaping accessibility in reality. Furthermore, this study found that spatial patterns of accessibility clearly differ between men and women. These findings suggest that access requires more than proximity, and that the interaction between person-specific space-time constraints and the consequential availability of urban opportunities in space-time renders different accessibility experiences to people even in the same region, which would be one of the key ingredients missing from conventional spatial measures of accessibility.

• Journal of Korean Tunnelling and Underground Space Association
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• v.17 no.4
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• pp.499-511
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• 2015

A room-and-pillar underground structure is characterized by its grid-type array of galleries. As a result, its construction and economical efficiency can be governed by excavation sequence of galleries. Therefore, this study aims to study the optimum excavation scheme of a room-and-pillar underground structure by considering its various design factors such as ground conditions and excavation sequences. Drill-and-blast method is assumed as a excavation method for a room-and-pillar underground structure. In addition, two kinds of excavation patterns corresponding to a concurrent and a sequential excavation patterns are considered in this study. For the assumed conditions, the structural stability and the construction efficiency based on the number of faces and the travel distance of a jumbo drilling machine are analyzed for the two excavation patterns. Even though the two kinds of excavation patterns show almost the same structural stability as each other, the concurrent excavation pattern is relatively preferable to the sequential excavation pattern in terms of the number of faces in operation and travel distance of a drilling jumbo.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.39-56
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• 2012

Technological advancements in information technology including RFID and mobile technologies have made it feasible to track the customers travel path in a store. The customer travel paths provide valuable implications to understanding the customer behaviors in a store. In our research, we develop a shopping path analysis system to track and analyze the customer travel path. The proposed system consists of RFID systems for collecting the customer paths and analysis system. The analysis system conducts clustering for identifying the distinctive shopping patterns, and analyzes the profile of a grocery, such as congestion rate, visiting rate, and staying time, etc. We show the applicability of our proposed system using the actual data obtained at a grocery in Seoul as a case study.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.615-627
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• 2012

This study analyzed the travel pattern with respect to use of public transportation by using transportation card data and presented the measures that can be used in a traffic policy. Transportation card data targeted Gyeonggi-Do area and as a utilization plan, a scenario that when a traffic policy decision maker improves bus stop facilities, the person selects a target site by using several variables that can be obtained from transportation card data was set and analyzed. The analysis result showed that K means cluster analysis which is decision making methodology and CHAID(Chi-squared automatic interaction detection) were used and it can be used usefully in policies in significance level of p <0.01. Also, based on these results, this study presented policy implications to be improved to actually use transportation card data in policies.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.316-325
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• 2008

This study was done to compare socio-economic characteristics and travel pattern, preferences for ecotourism facilities and programs of domestic and international tourists who visited to Jeju Island. On-site survey was carried out during July, 2006 and a total of five hundred and fifty five (555) individuals' data were analyzed. Survey results showed that there were significant differences between socioeconomic characteristics and travel patterns as well as preferences of both parties. Even among international tourists from countries with different languages showed different characteristics. These different characteristics among tourist groups imply that tour route design and program development should be accordingly considered to provide satisfactory experiences.