Spatial pattern and micro-location rules of tourism businesses in historic towns: A case study of Pingyao, China

Wang, Mengdi; Liu, Jiaming; Zhang, Shuying; Zhu, He; Zhang, Xin

doi:10.1016/j.jdmm.2022.100721

Cited by 18 publications

(13 citation statements)

References 42 publications

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“…XStdDist and YStdDist are the lengths of the x-axis and y-axis of the ellipse, respectively. Rotation represents the direction angle of the ellipse [ 10 ]. The calculation formula for

direction angle is presented as Eq.…”

Section: Methodsmentioning

confidence: 99%

“…With the advent of big data, many public source datasets have been used in tourism research, such as point of interest (POI) data [ 10 ], GPS positioning data [ 11 ], and nighttime lighting data [ 12 ]. Compared with traditional data, these emerging public source datasets can be used to obtain reliable spatial information, which ensures research accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Spatial distribution and suitability evaluation of nighttime tourism in Kunming utilizing multi-source data

Zhang,

Luo,

et al. 2023

Heliyon

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“…XStdDist and YStdDist are the lengths of the x-axis and y-axis of the ellipse, respectively. Rotation represents the direction angle of the ellipse [ 10 ]. The calculation formula for

direction angle is presented as Eq.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial distribution and suitability evaluation of nighttime tourism in Kunming utilizing multi-source data

Zhang,

Luo,

et al. 2023

Heliyon

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“…The variables that will be examined in this study was aimed to analyze the spatial pattern distribution of the Tourism Business District (TBD) from primary facilities in the city of Bogor. Tourism businesses are the bridge between tourists and destinations, including tourism attractions, tourism shopping, tourism catering, tourism entertainment, tourism accommodation, and other types of service businesses [20]. The data obtained from each variable uses primary data through questionnaire with a Likert scale, while secondary data is used as additional information.…”

Section: Variablesmentioning

confidence: 99%

Spatial Pattern of Tourism Business District (TBD) In Bogor City

Annisa,

Koestoer,

Anggrahita

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Bogor city as a Central Business District (CBD) has many tourism potentials that are interesting enough for tourist visitation. To increase that tourism potential, it needs identification of distribution and the attractiveness of the Tourism Business District (TBD) in Bogor city. The purpose of this research is to identify the distribution, analyze the attractiveness, and then analyze the demeanor of society towards the impact of TBD area. The methods used in this research were combined between GIS application and Likert scale techniques. The sample used in this research as many 100 tourists and 100 local residents. The result of this research was conducted by spatial approach combined with the Likert scale and nearest neighbor analysis (T); this quantitative model would drive the analyses of TBD. From analysis there are four characteristics of TBD in Bogor city, there are TBD of shopping and culinary nuanced, TBD of government nuanced, TBD of historic nuanced, and TBD of cultural heritage nuanced. From the distribution result, the pattern of TBD in Bogor city used an analyzed by nearest-neighbor analysis, and it categorized as random pattern. The highest attractiveness level of TBD in Bogor City is an activity aspect, and the lowest attractiveness level of TBD is the attraction aspect. The existence of TBD was impact to physical environment and social environment. The physical aspect was resulted of fixed up and progressed in infrastructure, and it made many tourisms facility availability, and the other impact of social environment was caused many chances to get a job for residents, cause many tourism facilities were built.

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“…Several studies related to tourism investment discuss more on increasing tourism promotion [14], development of supporting infrastructure facilities and the role of human resources [15], policy [16] dan and tourism business micro-locations based on tourist attractions, tourism shopping, tourism catering, tourism entertainment, and tourism accommodation [17]. However, determining potential locations for investment in tourism-supporting facilities still needs to be improved.…”

Section: Introductionmentioning

confidence: 99%

Strengthening City Branding Through Investment in Ambarawa Urban Area, Semarang Regency

Yesiana,

Septiarani,

Astuti

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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City branding can shape an area’s positioning and marketing differentiation so that a city can build a clear identity and strong associations and instil positive attributes to compete with other cities, especially for tourism. The primary purpose of city branding is to increase tourists and foster a good perception of the area. Ambarawa Urban Area is part of strategic National Kedungsepur (province) for social and cultural focus. The development of this area aims to create a historical city area that becomes the centre of tourism development. Tourism development also requires support from investors. Investment is important because it can also provide social benefits to the community. Therefore, this article aims to determine investment locations to strengthen the city branding of the Ambarawa Urban Area. The data used in this research are secondary and primary. Secondary data includes land value, road network, land use, and hazard map. The validation of land use data and road networks is carried out using the ground check. The variables used in the analysis are land value, ease of accessibility, and availability of land that can be developed for construction. The analysis techniques used are kernel density and overlay mapping such a conservation area, limited development land and tourism location. The processing map using Geographic Information System (GIS) mapping software. This research resulted in investment locations in several villages, such as Baran, Kupang, Lodoyong, Ngampin, Panjang and Tambakboyo with a total area of 19.14 hectares. The largest investment location can be allocated in Panjang Village which has an area of 9.79 hectares and is spread across two locations.

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Spatial pattern and micro-location rules of tourism businesses in historic towns: A case study of Pingyao, China

Cited by 18 publications

References 42 publications

Spatial distribution and suitability evaluation of nighttime tourism in Kunming utilizing multi-source data

Spatial distribution and suitability evaluation of nighttime tourism in Kunming utilizing multi-source data

Spatial Pattern of Tourism Business District (TBD) In Bogor City

Strengthening City Branding Through Investment in Ambarawa Urban Area, Semarang Regency

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