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Architecture & Urban Research Institute

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±â»ç¸í ü·ù-¹æ¹®-Á¤ÁÖ Àα¸ Ư¼º ±â¹Ý Áö¿ª À¯ÇüÈ­ ¿¬±¸:À̵¿Åë½Å ºòµ¥ÀÌÅÍ ºÐ¼®À» Áß½ÉÀ¸·Î / Characterizing regions based on visit, stay, and settlements population using mobile phone big data
ÀúÀÚ¸í ¾È¼ÒÇö ; ÀÌÀçÇö
¹ßÇà»ç Çѱ¹Áö¿ª°³¹ßÇÐȸ
¼ö·Ï»çÇ× Çѱ¹Áö¿ª°³¹ßÇÐȸÁö , Vol.34 No.5(2022-12)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(35) ÃÑÆäÀÌÁö(20)
ISSN 1225-9055
ÁÖÁ¦ºÐ·ù µµ½Ã
ÁÖÁ¦¾î Àα¸°¨¼Ò; ¹æ¹®; ü·ù; Á¤ÁÖ ; Population Decline; Visit; Stay; Resident
¿ä¾à1 Àα¸°¨¼Ò·Î ÀÎÇÑ Áö¿ªÀ§±â, Áö¹æ¼Ò¸êÀÌ °Å·ÐµÇ°í ÀÖ´Â ÁöÀÚü¸¦ Áß½ÉÀ¸·Î °ü±¤°³¹ßÀ» ÅëÇÑ ¿ÜºÎ ¹æ¹®°´ÀÇ À¯ÀÔ, ¹æ¹®°´ÀÇ Ã¼·ù½Ã°£ Áõ´ë¸¦ À§ÇÑ Ã¼·ùÇü °ü±¤°³¹ß, Áö¿ª ÀÌÁÖ¸¦ À§ÇÑ Ã¼·ù°æÇè ±âȸ Á¦°ø µî °¢Á¾ ³ë·ÂÀ» ±â¿ïÀÌ°í ÀÖ´Ù. Áö¿ª¿¡¼­ ¹æ¹®°´ À¯ÀÔ, ü·ù½Ã°£ Áõ´ë, ÀÌÁÖ¸¦ À§ÇÑ Ã¼·ù°æÇè ±âȸ Á¦°ø µîÀÇ Á¤Ã¥ »ç¾÷µéÀÇ Æ² ¼Ó¿¡¼­ ¹æ¹®-ü·ù-Á¤ÁÖÀÇ ÇÁ·¹ÀÓÀ» ¼³Á¤ÇÏ¿´´Ù. ÀÌ·¯ÇÑ ÇÁ·¹ÀÓ¿¡¼­ Àü±¹ 250°³ ±âÃÊÁöÀÚü¸¦ ¹æ¹®-ü·ù-Á¤ÁÖ ¼Ó¼º¿¡ µû¸¥ ÀáÀç°èÃþÀ¸·Î ±¸ºÐÇÑ °á°ú 4°³ ÀáÀç°èÃþÀ¸·Î ±¸ºÐµÇ¾ú´Ù. ¶ÇÇÑ ºÐ·ùµÈ ÀáÀç°èÃþ°ú Áö¿ªÀÇ ¹æ¹®-ü·ù-Á¤ÁÖ¿©°Ç, °ü±¤¿©°Ç °£ÀÇ »óÈ£°ü°è¸¦ ºÐ¼®ÇÔÀ¸·Î½á Áö¿ªÀÇ ¹æ¹®, ü·ù, Á¤ÁÖ ´Ü°èº° ÇöȲÀ» Áø´ÜÇÏ°í ÀÌ¿¡ ´ëÇÑ ´ëÀÀ¹æ¾È ¸ð»öÀ» ½ÃµµÇÏ¿´´Ù´Â Ãø¸é¿¡¼­ ÀÇ¹Ì ÀÖ´Ù.
¿ä¾à2 Various efforts such as the influx of external visitors through tourism development, development of stay-type tourism to increase the visitor¡¯s stay time, and provision of opportunities for staying experience for local migration, have been put in place mainly by local governments that are facing regional crisis due to population decline and local extinction. The frame of visit-stay-settlement was established based upon the framework of policy projects such as influx of visitors from the region, increase of stay time, and provision of opportunities to experience stay for migration. In this frame, we use a latent class cluster analysis to group 250 local governments across the country with visit-stay-settlement attributes, they were classified into four latent class clusters. In addition, the associations between the the four clusters and the local visit-stay-settlement conditions and tourism conditions were investigated with step-3 approach in latent class analysis. The results indicate each cluster is differently associated with different types of local visit-stay-settlement and tourism conditions. This implies that local governments having different mixture of external visitors requires to establish different countermeasures or policies to prevent local extinction.
¼ÒÀåó Çѱ¹Áö¿ª°³¹ßÇÐȸ
¾ð¾î Çѱ¹¾î
DOI https://data.doi.or.kr/10.22885/KRDA.2022.34.5.35
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