• Title/Summary/Keyword: 가구통행조사

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Analyzing the Impact for Housing Occupied Form of HouseNomad ('하우스노마드족'의 주거점유형태에 미치는 요인 분석)

  • Yun, Jin-Young;Oh, Jongryul
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.955-963
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    • 2014
  • According to the "Population and Housing Census of 2010", announced by the National Statistical Office, "House Nomad group" was increased by more than 70% compared to 2005. Emergence of House Nomad tribe about the cause of the increase of influence and House Nomad tribe give the housing market, but prior to the discussion often, there is no place that still it became clearly evident in the research. The purpose of this study, are looking for the emergence and increasing cause of House Nomad group in terms of consumption behavior of the house. For this reason, We use the Population and Housing Census 1% of the data 2010. and Multinomial Logit Models., is a useful method that can be utilized when there is no rank and order the consumer choice. The results were as follows. House Nomad group was found to be higher probability of living place and good environmental characteristics of housing that has been expressed in the properties of the housing. Also appeared to have a relatively longer time commuting. And that residential mobility is high.

A Study of Adjustment for Beginning & Ending Points of Climbing Lanes (오르막차로 시.종점 위치의 보정에 관한 연구)

  • 김상윤;오흥운
    • Journal of Korean Society of Transportation
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    • v.24 no.5 s.91
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    • pp.35-44
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    • 2006
  • Acceleration and deceleration curves have been used for design purposes worldwide. The curve in design level has been regarded as an single deterministic curve to be used for design of climb lanes. It should be noted that the curve was originally made using ideal driving truck and that the curve is applied during design based on the assumption of no difference between ideal and real driving conditions. However. observations show that aged vehicles and lazy behavioring drivers nay make lower performance of vehicles than the ideal performance. The present paper provides the results of truck speeds at climbing lanes then probabilistic variation of acceleration and deceleration corves. For these purposes. a study about identification of vehicle makers, and weights for trucks at freeway toll gates and then observation of vehicle-following speed were performed. The 85%ile results obtained were compared with the deterministic performance curves of 180, 200, and 220 Ib/hp. It was identified that the performance of 85%ile results obtained from vehicle-following-speed observations were lower than one from deterministic performance curves. From these results, it may be concluded that at the beginning Point of climbing lanes additional $16.19{\sim}67.94m$ is necessary and that at the end point of climbing lanes $53.12{\sim}103.24m$ of extension is necessary.

A Methodology for Expanding Sample OD Based on Probe Vehicle (프로브 차량 기반 표본 OD의 전수화 기법)

  • Baek, Seung-Kirl;Jeong, So-Young;Kim, Hyun-Myung;Choi, Kee-Choo
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.135-145
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    • 2008
  • As a fundamental input to the travel demand forecasting, OD has been always a concern in obtaining the accurate link traffic volume. Numerous methods were applied thus far without a complete success. Some existing OD estimation techniques generally extract regular samples and expand those sample into population. These methods, however, leaves some to be desired in terms of accuracy. To complement such problems, research on estimating OD using additional information such as link traffic volume as well as sample link use rate have been accomplished. In this paper, a new approach for estimating static origin-destination (OD) using probe vehicle has been proposed. More specifically, this paper tried to search an effective sample rate which varies over time and space. In a sample test network study, the traffic volume error rate of each link was set as objective function in solving the problem. As a key result the MAE (mean absolute error) between expanded OD and actual OD was identified as about 5.28%. The developed methodology could be applied with similar cases. Some limitations and future research agenda have also been discussed.

The effect of income - mix on place attachment as civic pride in Seoul - Using the Seoul Survey - (거주지역의 소득혼합수준이 시민 자부심으로서의 장소애착심에 미치는 영향 - 서울서베이를 활용하여 -)

  • Cho, Minji;Lim, Up
    • Journal of the Korean Regional Science Association
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    • v.32 no.3
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    • pp.3-15
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    • 2016
  • The purpose of this paper is to examine the effect of income-mix on place attachment as civic pride in Seoul. Place attachment and social mix are considered important in urban planning. However, place attachment is frequently thought to form more strongly in the homogeneous area. On the other hand, social mix policy is aimed to form more heterogenous area. So, the two concepts are thought to be incompatible. This paper focused on the income-mix which is kind of social mix, and used the 2013 "Seoul Survey" and 2010 "Household Travel Diary Survey" data. Based on the review of the literature, we used the civic pride in Seoul as the indicator of place attachment. The results of this paper indicate that the degree of income-mix increases, place attachment in Seoul also increases. Also, it appears that as regional income levels get higher, the effects of income-mix on place attachment decrease.

Analysis of Impact on Commuting Behavior in Urban and Rural Areas using Travel Diary Survey Data (가구통행실태조사 데이터를 이용한 도시지역과 농촌지역의 통근시간에 미치는 영향 비교 분석)

  • Jeon, Jeongbae;Park, Meejeong;Kim, Sangmin;Kim, Solhee;Kwon, Sung Moon
    • Journal of Korean Society of Rural Planning
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    • v.25 no.3
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    • pp.77-87
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    • 2019
  • This study is to identify the factors affecting commuting time and modes in urban and rural areas using household traffic survey data. The findings indicated that commuting time using passenger car in rural areas was 1.6 times longer than those in urban areas. When citizen use public transportation, however, there was not much difference in commuting time in urban and rural areas. Among the various factors affecting commuting time in rural areas (13 factors have statistical significance), the most influential factors were that public transportation, managers and office workers, functional and device managers, and passenger car. In urban areas, the highly influential factors were public transportation and walking among the 16 affecting factors which have statistical significance. The commuting time in rural areas increased according to the occupation types, but the commuting time of full-time workers decreased. This phenomenom means that occupation groups with the full-time system prefer residential areas in the densely populated town.

Commuting Efficiency Comparison of Metropolitan Areas in South Korea: Application of Constrained Monte-Carlo Simulation to Avoid the MAUP (우리나라 대도시권 통근 효율성 비교: MAUP 회피를 위한 Constrained Monte-Carlo Simulation의 활용)

  • Hyunseong Yun;Seung-Nam Kim
    • Land and Housing Review
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    • v.15 no.2
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    • pp.73-87
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    • 2024
  • To evaluate the efficiency of commuting patterns, various commuting indicators such as excess commute and commuting potential utilized have been developed and used. It is crucial to calculate these indicators reasonably to reveal the differences in commuting patterns among metropolitan areas and to consider these in the process of formulating commuting policies. However, commuting indicators are generally calculated at the administrative district level, and thus, they are not free from the problem of the modifiable areal unit problem (MAUP). This issue can undermine the rationality of comparing commuting efficiency between metropolitan areas, making it necessary to handle the calculation of commuting indicators carefully. Therefore, this study utilises Monte Carlo Simulation to calculate optimal, actual, and maximum commuting distances, and thereby presents the excess commute and the commuting potential utilized. To apply Monte Carlo Simulation to the context of South Korea, a constrained Monte Carlo Simulation is conducted, where residential and workplace locations used in the simulation are selected based on the actual locations of buildings. The analysis is conducted on 13 metropolitan areas with established metropolitan plans using the 2016 Household Travel Survey data. The commuting indicators calculated through the simulation showed minimal differences compared to the results obtained through conventional methods. The comparison of commuting efficiency among metropolitan areas revealed that even if the degree of spafial balance between residential and workplace locations is similar, the actual commuting patterns can differ significantly. It is suggested that further research considering characteristics such as the area of each metropolitan region will be necessary in the future.