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³í¹®¸í °ø¿µÀÚÀü°Å ÀÌ¿ë¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â Áö¿ªÀû ȯ°æƯ¼º ¿¬±¸ / Impacts of the Regional Environment Characteristics on the Public Bicycle Use - Analysis of the Spatial Information Using the Public Bicycles OD Flow-data in Changwon-si - / â¿ø½Ã °ø¿µÀÚÀü°Å ODµ¥ÀÌÅ͸¦ È°¿ëÇÑ °ø°£Á¤º¸ ºÐ¼®
ÀúÀÚ¸í À̽½ÀÌ(Lee, Seul-Yi) ; ½ÅÀº°æ½Äº°ÀúÀÚ(Shin, Eun-Kyung) ; ±è¼¼¿ë(Kim, Sei-Yong)
¹ßÇà»ç ´ëÇÑ°ÇÃàÇÐȸ
¼ö·Ï»çÇ× ´ëÇÑ°ÇÃàÇÐȸ³í¹®Áý °èȹ°è, v.30 n.12 (2014-12)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(215) ÃÑÆäÀÌÁö(9)
ISSN 12269093
ÁÖÁ¦ºÐ·ù µµ½Ã
ÁÖÁ¦¾î °ø¿µÀÚÀü°Å ½Ã½ºÅÛ ; ODµ¥ÀÌÅÍ ; °ø°£ÀÚ±â»ó°ü ; °ø°£È¸±ÍºÐ¼® ; Public Bicycle Sharing System ; OD Flow-data ; Spatial Autocorrelation ; Spatial Regression Analysis
¿ä¾à2 Urban transportation system is usually interactive with land use planning. Therefore, urban characteristics should be taken account to facilitate bicycle use in an urban area. The former way of drawing out traffic density projection was considered to be inadequate since by force of habit, transportation planning and complex development did not impose simultaneously but in a particular sequence. This study aims to establish an activation plan for the Public bicycles use and draw out factors for bicycle station's selection of location through analyzing space correlation between urban characteristics and the usage of the Public bicycles. The analyzed result in the case of Changwon-si shows that there is a spatial autocorrelation between two factors. Moreover, it also arrived at the conclusion that Spatial Lagged Model and Spatial Error Model has 10% higher relevancy than Ordinary Least Square. The operation of Spatial Lagged Model arranges factors in order of correlation: main facility's total floor area, public transportation density, traffic accident rate, and population density.
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