Spatial distribution of characteristic towns and their industrial characteristics in China

FANG, Yelin; Huang, Zhiyu; Li, Jinglong; Wang, Fang

doi:10.31497/zrzyxb.20190612

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…The completeness and accessibility of public service facilities directly impact travel-related carbon emissions, which is consistent with the research of ( administrative level, in this study, as the city size increases, the balance of the layout of medical and educational facilities will also be affected. This is mainly because the construction speed of public service facilities lags behind the speed of urban expansion (Fang et al 2017). The increase in the proportion of green coverage is related to the growth of the urban scale.…”

Section: Discussionmentioning

confidence: 99%

The influence of multidimensional urban form of counties on carbon emissions of residents and its planning implications: Evidence from counties in the Yangtze River Delta, China

Guo,

Leng,

Yuan

et al. 2024

Preprint

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Accurate estimation of the impact of urban form on carbon emissions of residents (CER) is a crucial prerequisite for China to adopt effective low-carbon spatial planning strategies and achieve the carbon peak and neutrality goals (hereafter “dual carbon” goals). However, as the most basic governmental unit and the new energy consumer in China, counties have rarely been concerned, and the relationship between their urban form and the CER is still limitedly understood.This paper seeks to investigate how urban form influences the CER by taking the 90 counties in the Yangtze River Delta of China as a case study. First, considering the features of the county's urban form and residents' energy consumption, this study focused on analyzing the urban form of the main center and the overall urban form composed of the main center and surrounding towns. Second, based on the needs of sustainable development at county level and the framework of China's territorial spatial planning, this study defined urban form in two dimensions: geometric-aspect urban form and built environment-aspect urban form. Finally, the relationships between urban form and the CER were modelled using partial least squares structural equation model (PLS-SEM). Results reveal that (1) the geometric-aspect urban form variables (scale, compactness, spatial structures, and shape) exert a direct influence on the CER.Controlling the urban development boundary, increasing compactness of themain center, developing in the direction of multiple centers, and minimizing the complexity and narrowness of theshape of the main center positively impact the CER. (2) For the built environment-aspect urban form variables, improving the accessibility of public service facilities and green space coverage is beneficial for counties to reduce the CER, and currently improving road traffic status and energy infrastructurehas a significant contribution to the growth of the CER.(3) The geometric characteristics of urban form indirectly affect the CER by influencing the built environment characteristics of urban form. Road traffic, greening spaces, public service facilities, and energy infrastructureare influential intermediaries. This study identifies the intricate correlation between the county's urban form and the CER, providing a scientific foundation for the formulation of policies aimed at optimizing urban form and achieving “dual carbon” goals.

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Section: Discussionmentioning

confidence: 99%

The influence of multidimensional urban form of counties on carbon emissions of residents and its planning implications: Evidence from counties in the Yangtze River Delta, China

Guo,

Leng,

Yuan

et al. 2024

Preprint

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“…As scientific contributions of their study, it is believed that time and distance savings will be achieved in terms of accessibility to tourism destinations, and the tourism potential and tourist satisfaction of destinations will increase. Furthermore, Pan and Li (2014) delved into the accessibility analysis of 2424 A-grade tourist attractions in China by scrutinizing their spatial distribution through the application of GIS technology. It has been suggested that the tangible outputs obtained from these analyses will contribute to accelerating the development of tourism in surrounding districts and coordinating the development of tourism for each region.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Among these, time and distance savings are paramount. Pan and Li (2014) established that human-centric scenic spots tend to be more concentrated. The average accessibility stands at approximately 125.88 min, with 60% of the area having scenic spot accessibility within 90 min, while 26.65% of the area boasts accessibility within 30 min; the longest time requirement, 1260 min, is observed at the central Tibetan Plateau.…”

Section: Sourcementioning

confidence: 99%

GIS based daily tourism route proposal for surrounding provinces and districts from Ankara’s Çankaya district (Turkey)

Gungor,

Sucu,

Dinc

et al. 2024

Environ Dev Sustain

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With the dynamic evolution of the tourism sector, a multitude of shifts in tourism activities and traveler motivations have transpired. These changes, spurred by technological advancements, economic fluctuations, and geopolitical developments due to heightened global competition, have introduced a fresh dimension to tourism dynamics. Significantly, the strategic creation of new tourism itineraries has become pivotal, given the tourism sector's integral role in city branding. In this study, the focal point was the Çankaya district within the Ankara province, deemed a central reference. Positioned at the heart of Turkey, Ankara province boasts the second-largest population according to TUIK (2020) data. Within this province, Çankaya district stands as the most densely populated, rendering it the designated study area. In Çankaya, which is one of the most heavily employed areas by public workers in Turkey, strategically positioned and with high population potential, the tourism planning of day trips, especially on weekends, is crucial to be conducted within the framework of time–distance savings. Without such planning, it might be challenging to achieve an efficient travel organization, especially for tourists who allocate fewer resources to travel planning in recent years, have limited time, and are selective about tourism destinations. In line with the research problem, the aim of the study is to conduct a comprehensive analysis of tourism accessibility, using the example of Çankaya district in Ankara, and to visualize the results of the analysis within a quantitative methodology framework to present concrete outputs. The more specific objective of this study is to determine a tourism route that allows tourists to reach important tourist attractions in the shortest and most convenient routes within the framework of time–distance savings, with a maximum travel time of 3 h in the research area. The expected scientific contributions from the objectives are as follows: contributing to transportation optimization related to tourism, bringing attention to historical, natural, and cultural places within the determined tourism route that are still undiscovered, less known, or not evaluated as individual tourism destinations, providing valuable information to destination managers, raising awareness about tourism opportunities in each destination, and contributing economically to the region. Employing a quantitative methodology, the study hinged on time-based road matrix analysis, facilitated by Geographical Information Systems, to chart routes from Çankaya district to surrounding districts. During this analysis, preference was given to routes with gentle curves, mitigating negative impacts on vehicle speed compared to more convoluted alternatives. Subsequently, leveraging 21 distinct types of tourism attractions, tourism sites feasible for visits within 1, 2, and 3-h intervals were pinpointed. At the study's culmination, an assemblage of 841 daily tourist destinations in and around Ankara were meticulously delineated and cartographically depicted using MapInfo Pro 2019.3 version. This endeavor underscores a concerted effort to offer tourists, both local and beyond, a well-crafted roadmap to explore and relish the plethora of cultural, historical, and natural treasures that Ankara and its neighboring regions have to offer.

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“…Under the current evaluation and management standards of tourism resources in China, the level of tourism resource endowment is mainly measured by the level of scenic spots. Grade 5A scenic spots are typical representatives of high-quality, high-endowment, and high-value tourism resources and represent the brand a of regional tourism development [68]. The Ministry of Culture and Tourism announced 306 5A-level scenic spots in China in 2020.…”

Section: Resource Endowment Factormentioning

confidence: 99%

Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China

Zhang

Yang

et al. 2022

Sustainability

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Key villages of rural tourism have become an important carrier for the high-quality development of rural tourism. The precise identification of the spatial distribution characteristics and influencing factors of rural tourism key villages is of great value in promoting the quality upgrading of rural tourism in China and realizing the goal of rural revitalization strategy. The aim is to realize the complementary coordination and integration of urban and rural areas, promote rural transformation and increase farmers’ incomes. Taking three batches of 1199 key rural tourism villages in China as research samples, the nearest neighbor index, disequilibrium index and kernel density methods were used to reveal the spatial differentiation characteristics of key rural tourism villages and the influencing factors were further analyzed using the geographical connection rate and buffer analysis. The results showed that (1) the key villages of rural tourism demonstrated a typical agglomeration in the spatial distribution, with the Hu Huanyong line as the obvious boundary. (2) The very high-density agglomeration centers were mainly located in the Beijing–Tianjin–Hebei region and the Yangtze River Delta region, while the high-density agglomeration zones were mainly located in the North China Plain on the east side of the Taihang Mountains and the middle and lower reaches of the Yangtze River Basin. (3) The spatial distribution characteristics of hot regions were in the central and eastern regions; however, the cold regions were in the northwest and northeast regions. (4) The spatial distribution characteristics of key rural tourism villages were the result of the interaction and coupling of multiple factors. The key villages of rural tourism were mainly distributed in plain and hilly areas with dense river networks, dense populations, high levels of economic development, developed transportation and suburban areas.

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Spatial distribution of characteristic towns and their industrial characteristics in China

Cited by 10 publications

References 8 publications

The influence of multidimensional urban form of counties on carbon emissions of residents and its planning implications: Evidence from counties in the Yangtze River Delta, China

The influence of multidimensional urban form of counties on carbon emissions of residents and its planning implications: Evidence from counties in the Yangtze River Delta, China

GIS based daily tourism route proposal for surrounding provinces and districts from Ankara’s Çankaya district (Turkey)

Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China

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