TY - JOUR
T1 - Exploring the relationship between multilevel highway networks and local development patterns-a case study of Taiwan
AU - Tsou, Ko Wan
AU - Cheng, Hao Teng
AU - Tseng, Fu Yi
N1 - Funding Information:
The study was supported by grants from National Science Council of Taiwan (100-2410-H-006-090-MY3).
Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/2/1
Y1 - 2015/2/1
N2 - The relationship between local development patterns and highway networks is complicated, as suggested by studies using various analytical methods. The spatial effects of each hierarchical highway network on local development patterns remains unclear. This study combines space syntax and the hierarchical linear model (HLM) within the research framework in a case study of Taiwan. The former is employed to model the topological accessibility of multilevel highway networks, and the latter is applied to handle the hierarchical relationship between multilevel highway networks and local development patterns. Results indicate a high R-squared (R2=0.803) value, and statistically significant cross-level interactions are observed. The results show the different spatial effects of various highway networks on the scale of local development patterns, and confirm consideration of highway networks with classification in the research design. The implications of the findings may be appropriate for substantive planning and future research approaches.
AB - The relationship between local development patterns and highway networks is complicated, as suggested by studies using various analytical methods. The spatial effects of each hierarchical highway network on local development patterns remains unclear. This study combines space syntax and the hierarchical linear model (HLM) within the research framework in a case study of Taiwan. The former is employed to model the topological accessibility of multilevel highway networks, and the latter is applied to handle the hierarchical relationship between multilevel highway networks and local development patterns. Results indicate a high R-squared (R2=0.803) value, and statistically significant cross-level interactions are observed. The results show the different spatial effects of various highway networks on the scale of local development patterns, and confirm consideration of highway networks with classification in the research design. The implications of the findings may be appropriate for substantive planning and future research approaches.
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U2 - 10.1016/j.jtrangeo.2015.01.015
DO - 10.1016/j.jtrangeo.2015.01.015
M3 - Article
AN - SCOPUS:84923039535
VL - 43
SP - 160
EP - 170
JO - Journal of Transport Geography
JF - Journal of Transport Geography
SN - 0966-6923
ER -