Determinant Factors of Successful Public Parks in Malaysia

Sakip, Siti Rasidah Md; Akhir, Norizan Mt; Omar, Siti Syamimi

doi:10.1016/j.sbspro.2015.01.003

Cited by 47 publications

(49 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The ratings were different from one service to another (the highest was 60.5% on O 2 release, while the lowest was 15.9% on increasing property value). Although the population of this study consisted only of young residents, which thus does not represent the points of view of the entire population of the city, this result is consistent with many other studies on the perceptions and attitudes toward UGS's indicating that perceptions and attitudes toward UGS's are complex and have different psychological points of view related to age, race, religion, gender, education, income, and experience [5,[39][40][41]50]. Realistically, the different social contexts and backgrounds of respondents would also influence the perceptions and attitudes toward UGS's.…”

Section: Discussionsupporting

confidence: 86%

“…However, many of these benefits are determined by the different levels of species group, canopy cover, size, and shape of UGS's [38]. Notably, the above studies only focused on roles and benefits of UGS's to people, and there is scant research regarding perceptions and knowledge of people toward UGS's, particularly from a perspective of people living in developing countries [7,[39][40][41]. A study of perceptions and attitudes of residents toward UGS's in Guangzhou by A.Y.H.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Assessment of the Knowledge and Demand of Young Residents regarding the Ecological Services of Urban Green Spaces in Phnom Penh, Cambodia

et al. 2016

View full text Add to dashboard Cite

Abstract:The fast and steady economic growth and social changes in recent years in Cambodia have brought rapid expansion and restructuring to its cities. These phenomena have brought numerous challenges including threats to urban green spaces (UGS's). This study addresses problems of UGS's by investigating the knowledge and perceptions of young residents of Phnom Penh (YRPPs) toward UGS's in relation to the following: (1) basic knowledge of YRPPs on ecological services (KES) of UGS's; (2) perceptions of YRPPs on the current state of UGS's (PUGS's) in Phnom Penh; (3) demand of YRPPs for UGS's in the city (DUGS); and (4) associations between KES, PUGS's, social profiles (SoPs), and DUGS. A questionnaire was designed to solicit knowledge from 554 respondents randomly selected from the study area. The findings revealed that 83.1% of total respondents strongly recognized ecological services of UGS's. Four subgroups of ecological services, namely microclimate (89.7%), environmental quality and functions (83.8%), recreational and public health services (88.5%), and economic benefits (70.4%) were all rated highly. Because the current state of UGS's was very poor (68.4%), demand for UGS's was high (94.43%). Public toilets (84.7%) and rubbish bins (75.6%) were both rated the poorest. The PUGS's were significantly associated with KES (r = 0.307, F (3, 543) = 18.83, p < 0.001). This study offers a deep understanding about knowledge and demand of YRPPs for UGS's.

show abstract

Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

An Assessment of the Knowledge and Demand of Young Residents regarding the Ecological Services of Urban Green Spaces in Phnom Penh, Cambodia

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The development of smart tourism will affect the tourism experience, management, service, and marketing [6,7]. The approach of smart tourism is to provide convenient and efficient service for tourists, build the frame of smart city and tourist sight, and finally improve the quality and level of tourism service [8][9][10][11]. Smart tourism development builds on tourism science.…”

Section: Introductionmentioning

confidence: 99%

Individualized Tour Route Plan Algorithm Based on Tourist Sight Spatial Interest Field

Zhou

Feng

et al. 2019

IJGI

View full text Add to dashboard Cite

Smart tourism is the new frontier field of the tourism research. To solve current problems of smart tourism and tourism geographic information system (GIS), individualized tour guide route plan algorithm based on tourist sight spatial interest field is set up in the study. Feature interest tourist sight extracting matrix is formed and basic modeling data is obtained from mass tourism data. Tourism groups are determined by age index. Different age group tourists have various interests; thus interest field mapping model is set up based on individual needs and interests. Random selecting algorithm for selecting interest tourist sights by smart machine is designed. The algorithm covers all tourist sights and relative data information to ensure each tourist sight could be selected equally. In the study, selected tourist sights are set as important nodes while iteration intervals and sub-iteration intervals are defined. According to the principle of proximity and completely random, motive iteration clusters and sub-clusters are formed by all tourist sight parent nodes. Tourist sight data information and geospatial information are set as quantitative indexes to calculate motive iteration values and motive iteration decision trees of each cluster are formed, and then all motive iteration values are stored in descending order in a vector. For each cluster, there is an optimal motive iteration tree and a local optimal solution. For all clusters, there is a global optimal solution. Simulation experiments are performed and results data as well as motive iteration trees are analyzed and evaluated. The evaluation results indicate that the algorithm is effective for mass tourism data mining. The final optimal tour routes planned by the smart machine are closely related to tourists’ needs, interests, and habits, which are fully integrated with geospatial services. The algorithm is an effective demonstration of the application on mass tourism data mining.

show abstract

“…In contrast, broadleaf and coniferous forests, wetlands and grasslands, as well as the availability of other national parks in proximity count among negative factors that tend to decrease visitor numbers [13]. Another study found that other important characteristics contributing to higher visitor numbers are accessibility and linkage (GAL), degree of comfort and image (DCI), use and activities (UAC) and sociability (SOC) [21]. Push factors for tourism in national parks are chiefly 'recreation and knowledge seeking', 'appreciating wildlife' and 'feeling close to nature' [22].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Number of Visitors in National Parks in the Czech Republic, Germany and Austria

Štemberk

Dolejs

Mareŝová

et al. 2018

IJGI

View full text Add to dashboard Cite

Abstract:In the context of national-level strategies, the importance of tourism in national parks is on the rise. The objective of this study is to investigate the relationship between the number of visitors to national parks and five variables: area, number of employees, budget, average employee salary and number of researchers in 12 national parks in the Czech Republic, Germany and Austria. Analysis of factors influencing the number of visitors to national parks uses the method of retrospective analysis of the data contained in internal documents and questionnaires among managers of national parks. The number of candidate predictors is relatively high when compared with the number of observations. Due to this fact, the Gilmour method for statistical analysis is used. Statistical results represented by the parameter β 2 for number of employees is −33,016 (95% CI, −50,592-−15,441) and by the parameter β 3 for budget is 0.586 (95% CI, 0.295-0.878), showing that the number of visitors increases with budget, while it decreases with the number of employees. The results of this study are a useful starting point for managers in their efforts to focus on developing key areas in an appropriate way. In conclusion, results show that increasing the economic benefits accruing from national parks regional policy could aim at a qualitative upgrading of tourist services, increased marketing of the unique national park label and the promotion of a diverse regional supply base.

show abstract

Determinant Factors of Successful Public Parks in Malaysia

Cited by 47 publications

References 10 publications

An Assessment of the Knowledge and Demand of Young Residents regarding the Ecological Services of Urban Green Spaces in Phnom Penh, Cambodia

An Assessment of the Knowledge and Demand of Young Residents regarding the Ecological Services of Urban Green Spaces in Phnom Penh, Cambodia

Individualized Tour Route Plan Algorithm Based on Tourist Sight Spatial Interest Field

Factors Affecting the Number of Visitors in National Parks in the Czech Republic, Germany and Austria

Contact Info

Product

Resources

About