TY - JOUR
T1 - Relationship between urban tourism traffic and tourism land use: A case study of Xiamen Island
AU - Gao, Yueer
AU - Wang, Donggen
AU - Liao, Yanqing
AU - Zou, Yongguang
N1 - Funding Information:
This research is supported by the National Natural Science Foundation of China (52078224 and 51608209) and the Promotion Program for Young and Middle-aged Teachers in Science and Technology Research of Huaqiao University (ZQN-PY512).
Publisher Copyright:
© 2021 Yueer Gao,Yanqing Liao, Donggen Wang & Yongguang Zou
PY - 2021/1/5
Y1 - 2021/1/5
N2 - The development of tourism leads to changes in land-use demands and
patterns, which are complex and dynamic, in tourist cities. Functional
differences in land use produce different travel needs and have
different impacts on traffic, especially on tourism. This paper explores
the relationship between tourism land use and tourism traffic. Taking
Xiamen Island as an example, using multivariable linear regression
models, tourism land use is divided into accommodation land use,
shopping land use and restaurant land use as the independent variables
of the model; and the origin-destination (OD) density of traffic
analysis zones (TAZs) during National Day in 2018 (October 1 to 5) is
chosen as the dependent variable. To compare the different impacts
between tourism land use and tourism traffic during the tourism and
non-tourism periods, the non-tourism period (March 11 to 15) is further
studied. The results show the following: (1) Xiamen, as a tourism city,
has not only regular traffic but also tourism traffic, and traffic
during the tourism period is totally different than that in the
non-tourism period. (2) Tourism land use has a considerable impact on
both tourism traffic and non-tourism traffic, but the impact is greater
during the tourism period than the non-tourism period. (3) In the
morning peak hour of both the tourism period and the non-tourism period,
accommodation land use shows prominent effects on traffic. In the
evening peak hour, shopping land use significantly impacts traffic. The
study provides a basis for urban tourism land use adjustment to achieve
the sustainable development of tourism traffic.
AB - The development of tourism leads to changes in land-use demands and
patterns, which are complex and dynamic, in tourist cities. Functional
differences in land use produce different travel needs and have
different impacts on traffic, especially on tourism. This paper explores
the relationship between tourism land use and tourism traffic. Taking
Xiamen Island as an example, using multivariable linear regression
models, tourism land use is divided into accommodation land use,
shopping land use and restaurant land use as the independent variables
of the model; and the origin-destination (OD) density of traffic
analysis zones (TAZs) during National Day in 2018 (October 1 to 5) is
chosen as the dependent variable. To compare the different impacts
between tourism land use and tourism traffic during the tourism and
non-tourism periods, the non-tourism period (March 11 to 15) is further
studied. The results show the following: (1) Xiamen, as a tourism city,
has not only regular traffic but also tourism traffic, and traffic
during the tourism period is totally different than that in the
non-tourism period. (2) Tourism land use has a considerable impact on
both tourism traffic and non-tourism traffic, but the impact is greater
during the tourism period than the non-tourism period. (3) In the
morning peak hour of both the tourism period and the non-tourism period,
accommodation land use shows prominent effects on traffic. In the
evening peak hour, shopping land use significantly impacts traffic. The
study provides a basis for urban tourism land use adjustment to achieve
the sustainable development of tourism traffic.
UR - http://www.scopus.com/inward/record.url?scp=85110609439&partnerID=8YFLogxK
U2 - 10.5198/JTLU.2021.1799
DO - 10.5198/JTLU.2021.1799
M3 - Journal article
AN - SCOPUS:85110609439
SN - 1938-7849
VL - 14
SP - 761
EP - 776
JO - Journal of Transport and Land Use
JF - Journal of Transport and Land Use
IS - 1
ER -