Spatial and Non-Spatial Analysis of Users and Online Transportation Service Providers in the Tembalang Higher Education Area, Semarang City
Abstract
The gap between demand and supply of public
transportation has the potential for online transportation
companies to fill it. The ability to provide door-to-door services
makes people prefer to use online transportation rather than
public transportation. This study aims to analyze the demand and
supply (supply & demand) of online transportation through the
spatial and non-spatial characteristics found in the Tembalang
Higher Education Area of Semarang City. This study uses a
quantitative approach with SEM-PLS analysis method. The
research data uses the perceptions of 200 user respondents and
100 respondents to online transportation providers at UNDIP
and UNPAND. The modeling results show that the fit model
value in PLS is 88.3%. The research findings show that with a
significance level of α = 5% with a t-value> 1.96, non-spatial
users have a significant effect on user spatial and provider spatial
with coefficients of 2.18 and 2.20. Furthermore, non-spatial
providers have a significant effect on provider spatial by 4.57.
While non-spatial providers have no significant effect on user
spatial with t-value = 0.01 and provider spatial has no significant
effect on user spatial with t-value = 0.05. Socio-economic
characteristics are the non-spatial factors of users that have the
most influence on spatial users and providers. The non-spatial
factors are the benefits felt by the presence of online
transportation and vehicle ownership with a significance factor
for the variables of 77.4% and 74.2%, respectively.
transportation has the potential for online transportation
companies to fill it. The ability to provide door-to-door services
makes people prefer to use online transportation rather than
public transportation. This study aims to analyze the demand and
supply (supply & demand) of online transportation through the
spatial and non-spatial characteristics found in the Tembalang
Higher Education Area of Semarang City. This study uses a
quantitative approach with SEM-PLS analysis method. The
research data uses the perceptions of 200 user respondents and
100 respondents to online transportation providers at UNDIP
and UNPAND. The modeling results show that the fit model
value in PLS is 88.3%. The research findings show that with a
significance level of α = 5% with a t-value> 1.96, non-spatial
users have a significant effect on user spatial and provider spatial
with coefficients of 2.18 and 2.20. Furthermore, non-spatial
providers have a significant effect on provider spatial by 4.57.
While non-spatial providers have no significant effect on user
spatial with t-value = 0.01 and provider spatial has no significant
effect on user spatial with t-value = 0.05. Socio-economic
characteristics are the non-spatial factors of users that have the
most influence on spatial users and providers. The non-spatial
factors are the benefits felt by the presence of online
transportation and vehicle ownership with a significance factor
for the variables of 77.4% and 74.2%, respectively.
Full Text:
PDFDOI: http://dx.doi.org/10.12962/j29649714.v1i1.8227
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