The Evolution of the Spatial–Temporal Pattern of Tourism Development and Its Influencing Factors: Evidence from China (2010–2022) DOI Open Access
Yaomin Zheng,

M.H. Wu,

Jinlian Shi

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10758 - 10758

Published: Dec. 8, 2024

The Chinese economy has shifted towards a stage of high-quality development, and promoting development tourism is great significance for its sustainable development. Based on the new concept, using Geographic Information System (GIS) spatial analysis, Moran’s I Index, Geographically Weighted Regression (GWR) model, this paper analyzes spatial–temporal evolution in 31 provinces China during 2010–2022. findings are as follows: (1) overall level from 2010 to 2022 was at medium-low level, showing distribution pattern “higher southeast lower northwest”; (2) perspective Quality–Quantity relationship, quality gradually improved, regional gap between east west internal among western regions/provinces have expanded; (3) innovation internationalization main influencing factors China’s provinces, providing practical decision-making references advancing tourism.

Language: Английский

Exploring Tourists’ Behavioral Patterns in Bali’s Top-Rated Destinations: Perception and Mobility DOI Creative Commons
Dian Puteri Ramadhani, Andry Alamsyah, Mochamad Yudha Febrianta

et al.

Journal of theoretical and applied electronic commerce research, Journal Year: 2024, Volume and Issue: 19(2), P. 743 - 773

Published: April 1, 2024

The tourism sector plays a crucial role in the global economy, encompassing both physical infrastructure and cultural engagement. Indonesia has wide range of attractions experienced remarkable growth, with Bali as notable example this. With rapid advancements technology, travelers now have freedom to explore independently, while online travel agencies (OTAs) serve important resources. Reviews from tourists significantly impact service quality perception destinations, text mining is valuable tool for extracting insights unstructured review data. This research integrates multiclass classification network analysis uncover tourists’ behavioral patterns through their perceptions movement. study innovates beyond conventional sentiment cognitive image dimensions explores correlation between different dimensions. We find that destinations generally receive positive feedback, 80.36% reviews, natural being most aspect least aspect. highlight qualitative experiences do not always align quantitative cost-effectiveness evaluations. Through analysis, we identify tourist mobility, highlighting three clusters cater diverse preferences. underscores need strategically adapt varied expectations, enhancing appeal aligning services preferences elevate destination competitiveness increase satisfaction.

Language: Английский

Citations

18

Spatial Sifferentiation and Differentiated Development Paths of Traditional Villages in Yunnan Province DOI Creative Commons
Jun Zhang,

Runni Zhang,

Qilun Li

et al.

Land, Journal Year: 2023, Volume and Issue: 12(9), P. 1663 - 1663

Published: Aug. 25, 2023

Enhancing spatial quality is an important aspect of future studies on the development traditional villages. From perspective vitality, degree revitalization and utilization villages can be visually reflected thus, corresponding strategies provided. However, existing have paid little attention to relationship between vitality development. Therefore, this study evaluates in Yunnan Province based Sina Weibo sign-in data, analyzes its with distribution characteristics, finally, proposes different types The results show that first, data well reflect Second, there a significant difference we summarize four difference. Overall, from villages, provides differentiated ideas for protection, enhancement, one hand, other it also feasible references rural planning Yunnan.

Language: Английский

Citations

13

Spatial Mismatch Between Transportation Development and Tourism Spatial Vitality in Yunnan Province in the Context of Urban–Rural Integration DOI Creative Commons
Ju Gao, Xingwu Duan, Qinglong Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1017 - 1017

Published: May 7, 2025

As China’s urban–rural integration progresses, the connections between urban and rural areas continue to strengthen, making spatial matching transportation infrastructure tourism resources increasingly crucial for coordinated regional development. This study investigates spatial–temporal mismatch development vitality in Yunnan Province, proposing optimization strategies improve their coordination. Using Weibo check-in big data OpenStreetMap network data, we apply Convolutional Long Short-Term Memory (ConvLSTM) networks bivariate autocorrelation analysis examine this relationship. The results show strong transportation–tourism Kunming surrounding areas. However, northwest southern exhibit significant mismatches—despite improvements, underdeveloped constrain growth. Particularly some remote regions, well-developed coexists with low vitality, revealing persistent mismatches transport facilities resources. In general, generally enhances but requires resource market demand alignment. provide a basis improving of tourism, offering practical guidance policymakers promote balanced integration.

Language: Английский

Citations

0

Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration by Fusing Nighttime Light Data with Weibo Sign-In Data DOI Creative Commons
Yongwang Cao, Song Liu,

Zaigao Yang

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(6), P. 214 - 214

Published: June 19, 2024

Accurately identifying the spatial range of urban agglomerations holds significant practical importance for precise allocation various elements and coordinated development within agglomerations. However, current research predominantly focuses on physical spaces agglomerations, overlooking their sphere influence. This study begins with interactions population fuses Weibo sign-in data NTL to identify It further compares validates results before after fusion data. The reveal that accuracy has improved by 7%, a Kappa increase 0.1766 compared using alone, which indicates fusing social media can significantly enhance proposes novel approach through from perspective. On one hand, it supplements application in agglomeration spaces; other accurately identifies great value sustainable

Language: Английский

Citations

2

Contemporary Challenges in Destination Planning: A Geographical Typology Approach DOI Creative Commons
Efthymia Sarantakou

Geographies, Journal Year: 2023, Volume and Issue: 3(4), P. 687 - 708

Published: Oct. 29, 2023

This paper aims to outline a framework for reviewing the issues faced by tourism destination planning in 21st century. documents use of typologies as policy analysis and basis decision making. The main research hypothesis this study is that based on, or primarily focused geographical dimensions have historically been appropriate strategic planning. proposes basic typology, according which destinations are categorized into urban, island, coastal, mountainous. refers evolution, key features, challenges each type destination. Through review international best practices, maps out fundamental objectives, developmental patterns, strategies destination, offering valuable insights future research. Emphasis given contemporary trends first few decades

Language: Английский

Citations

4

Influence of color steel buildings on urban land surface temperature: a case study in Urumqi, Xinjiang, China DOI Creative Commons
Yuqing Li, Shuwen Yang,

Yawen Luo

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: June 20, 2024

Introduction: Highly clustered color steel buildings (CSB) have become new impervious surfaces and heat island areas in cities due to their materials, especially the Northwest. However, extent of influence CSB on land surface temperature (LST) how they are quantitatively related each other not been explored. Methods: Therefore, this paper takes Urumqi city, which is densely populated with has a unique topography, as an example. We obtained LST data based Landsat Google Earth images, analyzed warming effect urban characteristics regional variability. Results discussion: The results study showed that from 2005 2020, scale City expanding, high-density aggregation shifting suburbs. area city shows “cool effect”, higher temperatures CSB. distribution roughly coincides high city. density highly positively correlated LST, correlation coefficient reaching 0.973 2010. For every 0.2 increase cluster density, corresponding can rise by 0.4°C. At same aggregation, average lower than contribution index suburban reaches 0.512, significantly surrounding buildings, marked it one main contributors thermal environment suburbs.The research provide reference support for sustainable development planning cities.

Language: Английский

Citations

0

A system-integrated approach for the design of tourist areas at the local level under changing conditions: A case study in the Altay Mountains DOI Creative Commons
Alexander DUNETS,

Evgeniya TABAKAEVA,

Fang Han

et al.

Regional Sustainability, Journal Year: 2024, Volume and Issue: 5(2), P. 100142 - 100142

Published: June 1, 2024

The existing approaches for the design of tourist areas often lead to limited flexibility in project implementation. To realize a more flexible approach, this study, we formulated model planning and designing at local level. Moreover, specific tools analyzing ensuring sustainable development under changing conditions were developed. This study was conducted two regions, Biryuzovaya Katun complex Belokurikha destination (including City with 2 Gornaya surrounding areas), Altay Mountains. We employed recreation opportunity spectrum proposed system-integrated programming approach site levels. key collection analysis current spatial data, including distribution attractions visitor flows. constructed heat maps using video recording unmanned aerial vehicle (UAV) observation data. analyzed stream an image-analyzing framework You Only Look Once (YOLO) v5 software. map flows based on data Andreevskaya Sloboda museum allowed us highlight most attractive sites area classify them into one three types: points functional concentration, transitional attractions. complex, created UAV determine spatiotemporal patterns tourists' preferences throughout day within four time intervals: 09:00–12:00, 13:00–14:00, 14:00–15:00, 16:00–18:00 (LST). maximum flow density occurred from 16:00 18:00 beach artificial lake. A comparison between visitor-concentrated facilities provided insights demand lacking areas. Heat are useful land use level, while zoning can be used methods contribute adaptive tourism design.

Language: Английский

Citations

0

The Evolution of the Spatial–Temporal Pattern of Tourism Development and Its Influencing Factors: Evidence from China (2010–2022) DOI Open Access
Yaomin Zheng,

M.H. Wu,

Jinlian Shi

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10758 - 10758

Published: Dec. 8, 2024

The Chinese economy has shifted towards a stage of high-quality development, and promoting development tourism is great significance for its sustainable development. Based on the new concept, using Geographic Information System (GIS) spatial analysis, Moran’s I Index, Geographically Weighted Regression (GWR) model, this paper analyzes spatial–temporal evolution in 31 provinces China during 2010–2022. findings are as follows: (1) overall level from 2010 to 2022 was at medium-low level, showing distribution pattern “higher southeast lower northwest”; (2) perspective Quality–Quantity relationship, quality gradually improved, regional gap between east west internal among western regions/provinces have expanded; (3) innovation internationalization main influencing factors China’s provinces, providing practical decision-making references advancing tourism.

Language: Английский

Citations

0