TY - JOUR
T1 - Development of a model to forecast the external migration rate in development projects reflecting city characteristics
AU - Kim, Ki Bum
AU - Park, Joon
AU - Seo, Jee Won
AU - Yu, Young Jun
AU - Hyun, In Hwan
AU - Koo, Ja Yong
N1 - Publisher Copyright:
© 2018 Korean Society of Environmental Engineers.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - In planning public service systems such as waterworks, the design population is very important factor. Owing to the limitations of the indirect method, two new models, which take into consideration urban characteristics, were developed to accurately predict external migration rate (EMR), which is an essential component in estimating reliably the design population. The root mean square error (RMSE) between the model values and observed values were 10.12 and 15.58 for the metropolitan cities and counties respectively and were lower compared to RMSE values of 27.31 and 28.79 obtained by the indirect method. Thus, the developed models provide a more accurate estimate of EMR than the indirect method. In addition, the major influencing factors for external migration in counties were development type, ageing index, number of businesses. On the other hand, the major influencing migration factors for cities were project scale, distance to city center, manufacturing size, population growth rate and residential environment. Future medium and long-term studies would be done to identify emerging trends to appropriately inform policy making.
AB - In planning public service systems such as waterworks, the design population is very important factor. Owing to the limitations of the indirect method, two new models, which take into consideration urban characteristics, were developed to accurately predict external migration rate (EMR), which is an essential component in estimating reliably the design population. The root mean square error (RMSE) between the model values and observed values were 10.12 and 15.58 for the metropolitan cities and counties respectively and were lower compared to RMSE values of 27.31 and 28.79 obtained by the indirect method. Thus, the developed models provide a more accurate estimate of EMR than the indirect method. In addition, the major influencing factors for external migration in counties were development type, ageing index, number of businesses. On the other hand, the major influencing migration factors for cities were project scale, distance to city center, manufacturing size, population growth rate and residential environment. Future medium and long-term studies would be done to identify emerging trends to appropriately inform policy making.
KW - City characteristics
KW - Development project
KW - External migration rate
KW - Quantification theory type I
KW - Urban characteristics
KW - Water supply
UR - http://www.scopus.com/inward/record.url?scp=85060253078&partnerID=8YFLogxK
U2 - 10.4491/eer.2017.167
DO - 10.4491/eer.2017.167
M3 - Article
AN - SCOPUS:85060253078
SN - 1226-1025
VL - 23
SP - 406
EP - 419
JO - Environmental Engineering Research
JF - Environmental Engineering Research
IS - 4
ER -