• Journal of the Korean Regional Science Association
• /
• v.32 no.2
• /
• pp.31-44
• /
• 2016

The purpose of this study is to explore empirically the effects of the residential environments and housing consciousness on the housing tenure choice of newlyweds in the Seoul metropolitan region. Regarding the results of the empirical analysis, firstly, not only the household's attributes and housing characteristics but also the residential environments and housing consciousness were significant factors on housing tenure choice. Secondly, as a household considers worse housing quality and better environmental quality surrounding the housing, the household chose Cheonsei housing more often than owner-occupied housing. On the other hand, as a household reviews only better living condition, the selection probability of monthly rent was higher. Thirdly, as a household regards that the housing investment value was more important, the choice probability of owner-occupied housing was higher than that of other tenure types.

• Journal of the Korean Society for Railway
• /
• v.12 no.5
• /
• pp.656-662
• /
• 2009

In general, the analysis of travelers' mode choice behavior is accomplished by developing the utility functions which reflect individual's preference of mode choice according to their demographic and travel characteristics. In this paper, we propose a methodology that takes the spatial effects of individuals' departure locations into account in the mode choice model. The statistical models considered here are spatial logistic regression model and conditional autoregressive model taking a spatial association parameter into account. We employed the Bayesian approach in order to obtain more reliable parameter estimates. The proposed methodology allows us to estimate mode shares by departure places even though the survey does not cover all areas.

• Journal of Korean Society of Transportation
• /
• v.29 no.6
• /
• pp.97-106
• /
• 2011

Mode choice model is an essential element for estimating- the demand of new means of transportation in the planning stage as well as in the establishment phase. In general, current demand analysis model developed for the mode choice analysis applies common parameters of utility function in each region which causes inaccuracy in forecasting mode choice behavior. Several critical problems from using common parameters are: a common parameter set can not reflect different distribution of coefficient for travel time and travel cost by different population. Consequently, the resulting model fails to accurately explain policy variables such as travel time and travel cost. In particular, the nonlinear logit model applied to aggregation data is vulnerable to the aggregation error. The purpose of this paper is to consider the regional characteristics by adopting the parameters fitted to each area, so as to reduce prediction errors and enhance accuracy of the resulting mode choice model. In order to estimate parameter of each area, this study used Household Travel Survey Data of Metropolitan Transportation Authority. For the verification of the model, the value of time by marginal rate of substitution is evaluated and statistical test for resulting coefficients is also carried out. In order to crosscheck the applicability and reliability of the model, changes in mode choice are analyzed when Seoul subway line 9 is newly opened and the results are compared with those from the existing model developed without considering the regional characteristics.

• SUVANNABHUMI
• /
• v.13 no.1
• /
• pp.35-64
• /
• 2021

Government websites provide useful and timely information to the public such as government's history, organizational values, codes of ethics, public services, facts about public official, among others. Using language choice as framework, the study seeks to examine what language is used, in what contents, and in what kind of website. The study employed online observation in 235 Philippine government websites (.gov.ph) via content analysis. As a result, English is overwhelmingly used; while Filipino, the Philippines' national language, and only a handful of regional languages, are minimally used in the contents. Discussion will follow how multilingualism can improve the dissemination of information and communication more conveniently and efficiently from the government to its citizens.

• Journal of the Korean Society for Railway
• /
• v.16 no.1
• /
• pp.59-64
• /
• 2013

This study analyzed passenger access and egress travel patterns related to a Korean regional railway station (Seoul station), then developed a binomial logit model. This model referred to bus and metro mode of access and egress during a national holiday (Chuseok 2009); obtained from transit smart card data. The results showed that 99% of passengers getting access to, or egress from, the regional railway station did so using less than two transfers, and that most passengers were more likely to choose a metro. However, the passengers that made access or egress trips near Seoul Station were more likely to take a bus. From the results of the mode choice model, it was found that the impact of travel time was greater than that of travel cost, in the choices made for both access and egress. Interestingly, the impact of travel time is much greater in choosing the mode of egress.

• Journal of Korean Society of Transportation
• /
• v.25 no.1 s.94
• /
• pp.61-71
• /
• 2007

This study examines the determinants of location decisions for domestic skippers and identifies them with the aid of the location choice model The authors have used Korea's commodity flow survey collected by the inter-regional shippers as well as socio-economic indicators. The results suggest that the location of shippers depend on agglomeration economies, market size, and logistics activities. Finally. this study suggests the direction of locational Policies to help the Korean government with logistics-related policies.

• The Korean Journal of Health Service Management
• /
• v.6 no.4
• /
• pp.153-163
• /
• 2012

The purpose of this study is to measure IPA(Importance Performance Analysis) of the hospital choice factors between internal and external customers at rural general hospital. This study was used 5 types of choice factor such as physical, human, accessibility, connection, and external image. Also, this study was used IPA which can be applied to identify the strengths and weaknesses quality attributes from customers' viewpoint by simultaneously evaluating importance and performance. IPA was assessed using a sample of 98 patients and 96 internal employees who work at C general hospital in Chunkcheongbuk-do. Data were collected with self-administered questionnaires from February 13 to March 30 in 2012 and analyzed SPSS 18 by using frequency, paired t-test and scatter plot graph. The results of IPA show that "Keep up the good work" quadrant was human factor and "Low Priority" quadrant was physical and connection factors between internal and external customers. The finding of this study will be applied to improve human service quality in administrative department of hospital. Also, this study presents primary data for correct decision making to authorities of local hospitals that have concern about hospital strategy. The implications of this study are discussed and areas for future research are presented.

• Journal of the Korean association of regional geographers
• /
• v.14 no.1
• /
• pp.54-67
• /
• 2008

This paper is to analyze the relationships between the factors of choice attributes and the related satisfaction focused on Domestic tourists in Jeju region. First, this paper used the structural equation model with the questionnaires to investigate the attributes affecting the visitors' satisfaction and service value. In conclusion, the attribute factors influencing service value and the visitors' satisfaction are 'equipment and convenience' and 'culture and leisure'. Also, this paper presents that the 'foods' factor is affecting re-visit and others' recommendation through the mediation of satisfaction factor.

• KDI Journal of Economic Policy
• /
• v.40 no.2
• /
• pp.23-52
• /
• 2018

Given the limited availability of data in South Korea, this study proposes a method by which to estimate regional capital stock by modifying the benchmark year method (BYM) and applies it to estimate regional net capital stock by sector in transport infrastructure. First, it estimates time-varying sectoral depreciation rates using the sectoral net capital stock and the investment amount for each period. Second, it estimates the net capital stock of each period using the net capital stock in the base year and the investment in each period. Third, in order to ensure that the sum of net capital stocks by region is equal to the nationwide estimate, the national estimates are allocated to each region according to the proportion of the values derived from the previous stage. The proposed method can alleviate well-known problems associated with conventional BYMs, specifically the upward bias and arbitrary choice of the depreciation rate.

• Journal of Korean Society of Rural Planning
• /
• v.20 no.1
• /
• pp.127-134
• /
• 2014

This study, in order to complement instability of analysis result stemming from the choice between reference point and comparison point which is pointed out as the defect of shift-share analysis, conducted shift-share analysis using Gross Regional Domestic Product (GRDP) trend of Geumgang area, Chungcheongnam-do for the period from 2000 to 2011. As a result of the analysis, (1) industries that had both the positive Regional Share Effect (RSE) and Industrial Mixed Effect (IME) were service industries such as manufacturing industry, electricity gas, transportation industry, art, etc., which are positively influencing the regional industry. (2) industries that had both the negative RSE and IME were other service industries such as wholesale and retail businesses, lodging industry, food industry, real estate business and leasing service, business service industry, public administration, etc., which provide basic livelihood services for the residents. (3) industries that had the positive RSE and negative IME were agriculture, forestry and fishery industry, mining industry, construction industry, and educational service industry. (4) industries that had the negative RSE and positive IME were info-communications industry, financial and insurance businesses, health industry, etc.