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³í¹®¸í »çȸÀû ºñ¿ëÀ» ÀÌ¿ëÇÑ À̵¿ ÇàÀ§ Æò°¡ ¸ðµ¨ / Social Costs Estimation to Evaluate Urban Trip Activity - An application of student housing and social costs analysis for urban planning - / ±â¼÷»çÀÇ À§Ä¡¿Í »çȸÀû ºñ¿ëÀÇ »ó°ü°ü°è ºÐ¼®À» ÅëÇÑ µµ½Ã°èȹÀ¸·ÎÀÇ È°¿ë¹æ¾È °íÂû
ÀúÀÚ¸í ½Åµ¿À± ; ¼ÛÀ¯¹Ì ; ±è¼º¾Æ
¹ßÇà»ç Çѱ¹BIMÇÐȸ
¼ö·Ï»çÇ× Çѱ¹BIMÇÐȸ ³í¹®Áý, Vol.6 No.2 (2016-06)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(19) ÃÑÆäÀÌÁö(10)
ISSN 2288-1697
ÁÖÁ¦ºÐ·ù Àü»ê
ÁÖÁ¦¾î ¾î¹Ý ¼¾½Ì ; ¼¾¼­ ³×Æ®¿öÅ© ; »çȸÀû ºñ¿ë ; µµ½Ã °èȹ ; ½º¸¶Æ® µµ½Ã ; ÇàÀ§ Æò°¡ ¸ðµ¨ ; Urban Sensing ; Sensor Network ; Social Costs ; Urban Planning ; Smart City ; Behavior Information Modeling
¿ä¾à2 Social costs analysis seeks to reveal the environmental effects of transportation policy. It delivers a sense of the effects of the public's daily travel and the costs that are or would be incurred from individual trips. Moreover, the accumulated total number of trips will uncover the effects of travel on society. This article shows the quantitative analysis of the economic outcomes of travel using social costs estimation methods. In order to support urban planning tasks, this research implemented analysis tool for social costs estimation by travel behavior. For a case study, a jave based application which can convert people's trip data into social costs is developed. the application used for simulating student-housing effects by estimating social costs changes. The analysis included the attributes, building scale and locational changes of the student housing as well as transforms of the students' trips.
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DOI http://dx.doi.org/10.13161/kibim.2016.6.2.019
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