A Novel Scheme to Relieve Parking Pressure at Tourist Attractions on Holidays

Li, Juan; Ye, Jing; He, Qinglian; Shao, Chunfu

doi:10.3390/su8020164

Cited by 5 publications

(2 citation statements)

References 35 publications

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“…Just like other cities in Indonesia, the city of X relies on regional income in the tourism sector. The parking factor is one of the factors that tourists consider when choosing a tourist destination (Li et al, 2016;Millard-Ball et al, 2020;Wang et al, 2015). (Wang et al, 2015) specifically found that the availability of parking lots and parking retribution have a negative effect on tourist behavior when traveling.…”

Section: Introductionmentioning

confidence: 99%

Potential Loss From Parking Levies

Sari

Cheisviyanny

Deviani

2023

Jurnal Pajak dan Keuangan Negara

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The existence of abundant illegal parking attendants in the city of X causes a leakage of parking revenue. The phenomenon of loss in parking levies encourages us to conduct this research. This research is an exploratory research with a quantitative descriptive approach to calculate the potential of parking loss in X city. Data were collected through interview and observation which never been done. We interviewed illegal parking attendants from 4 sub-districts by using convenience sampling which never been used before. This study found that the optimal potential of parking levies in a year reached IDR 8.682.868.820,- while the average realization of parking levies within five years was only IDR 1.427.539.500.- per year. This means that only 16.44% of potential parking levies are realized in a year. So there are still 83.56% potential parking levies haven't been recognized. It shows that local governments have not been able to identify the number of potential parking levies and impress parking mismanagement.

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Section: Introductionmentioning

confidence: 99%

Potential Loss From Parking Levies

Sari

Cheisviyanny

Deviani

2023

Jurnal Pajak dan Keuangan Negara

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“…The "over-tourism" problem should not only be regarded as a tourism problem or a city problem, but also be observed and solved by researchers in various disciplines from a perspective of broader social and urban development [7]. In the disciplines of traffic engineering and science of decision making, some scholars and management departments have carried out some research to adjust and control tourists' decision-making behavior and balance tourists' spatial-temporal distribution, such as redistributing the existing parking resources, releasing the information of staggered shifts, adjusting the road toll discount on holidays, and implementing tourist flow control schemes (TFCS) [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Response Patterns of Tourist Flow under Real-Time Tourist Flow Diversion Scheme

et al. 2020

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This paper excavates tourist decision-making mechanism under the real-time tourist flow diversion scheme (RTFDS) and evaluates the tourist flow diversion effect of RTFDS. To meet the objectives, the stated preference survey and tourist flow survey of the Summer Palace were implemented. The tourist behavior adjustment model and tourist flow diversion simulation model were established. The results show that: (a) For core tourist spots, 66.5% and 16.5% of tourists will choose “behavior adjustment” and “no longer adjustment” under RTFDS, these behavior adjustments all shorten tourists’ residence time in tourist spots; (b) When the tourist congestion perception degree equals 4 or 5, tourists tend to adopt behavior adjustment or the individuals adopt no longer adjustment instead of cognitive adjustment when they face low tourist congestion perception degree, which equals 1 or 2; (c) When core tourist spots’ residence time is reduced by 10% and 20%, there are 60% and 73% time nodes where core tourist spots’ tourist flow density is less than or equal to the condition of null information, there are 73% and 60% time nodes where periphery tourist spots’ density is more than the condition of null information. The simulation results showed that some tourists could be guided from core tourist spots to periphery tourist spots through releasing RTFDS information. The research can provide theoretical support for the implementation of RTFDS, and alleviate the congestion inside the tourist attraction.

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