相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Computer Science, Information Systems
Qian Li et al.
Summary: Urban vitality is a key indicator for measuring urban development. The use of multisource data to measure multidimensional urban vitality on streets can improve the accuracy of urban vitality analyses and provide sustainable urban planning and development strategies for the future.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Wang Bo et al.
Summary: This study examines the spatiotemporal relationships between the built environment and urban vibrancy using multi-source datasets and geographically and temporally weighted regression models. The findings highlight the heterogeneity of the effects of the built environment on urban vibrancy across time and space, due to people's everyday lifestyle, time-space constraints, and geographical context.
CHINESE GEOGRAPHICAL SCIENCE
(2022)
Article
Computer Science, Information Systems
Wenkai Liu et al.
Summary: The study developed an adaptive method for detecting network-constrained regional co-location patterns, outperforming three state-of-the-art methods in experiments. The identified regional POI co-location patterns could support a better understanding of the spatial organization of urban functions and may be useful for facilitating urban planning.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Computer Science, Information Systems
Yuhao Kang et al.
Summary: The spatial clustering method STICC considers both the attributes and spatial relationships of geographic objects, preserves spatial contiguity through constructing subregions and Markov random field. In experiments, STICC outperforms other methods in terms of adjusted rand index and macro-F1 score, suitable for applications in geography, remote sensing, transportation, and urban planning.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Computer Science, Information Systems
Weiming Huang et al.
Summary: This study presents a novel approach to estimate the proportional distributions of function types in an urban area by learning semantics preserved embeddings of points-of-interest (POIs). The proposed approach utilizes spatially explicit random walks to learn spatial co-occurrence patterns and a manifold learning algorithm to capture categorical semantics. The results of a case study in Xiamen Island, China demonstrate that the approach outperforms competitive baseline models and shows high consistency with the ground truth. Additionally, an error analysis reveals intrinsic limitations of POI data for this task, such as ambiguous linkage between POIs and functions.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Computer Science, Information Systems
Salwa Rizqina Putri et al.
Summary: This study found that poverty in East Java in 2020 is represented by variables such as night-time light intensity (NTL), built-up index (BUI), sulfur dioxide (SO2), point-of-interest (POI) density, and POI distance. By establishing a relative spatial poverty index (RSPI), poverty distribution at 1.5 km x 1.5 km grids can be indicated. Evaluation of RSPI shows that areas with high scores are geographically deprived and sparsely populated with inadequate accessibility, while areas with low scores have better living conditions.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Urban Studies
Yichen Xu et al.
Summary: Takeout ordering is an important approach for urban residents to solve their catering needs, and studying it can reflect the working and living conditions of the population and help understand local culture and socio-demographic characteristics.
Article
Computer Science, Software Engineering
Loris Belcastro et al.
Summary: This study aims to discover regions-of-interest (RoIs) that attract visitors from Points-of-Interest (PoIs) in social media data, achieving an accuracy of 79% through automatic keyword extraction and parallel RoI extraction. The parallel method implemented using ParCA and MapReduce model showed high scalability and speedup in processing large datasets.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Xi Wang et al.
Summary: A location's irreplaceability refers to the degree of difficulty with which it can be replaced by other locations. Existing methods for quantifying an urban location's irreplaceability do not consider human activity at the location, therefore the revealed irreplaceability may deviate from the resident's perceptions. To address this issue, a flow-based locational measure, I-index, is proposed to quantify the location's irreplaceability by combining flow volume and length into a single value.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Economics
Hong Zhang et al.
Summary: This article proposes a framework for modeling excess commuting based on open-source data of the ten most populous megacities in China. The study found that commuting distances and time of all ten megacities follow a left-skewed normal distribution, with spatial heterogeneity of commuting time being more significant than that of distance. Excess commuting measured by time is lower than that measured by distance for each city, and the impact of land use, waterbody distribution, and centripetal urbanization on urban commuting distance and time is significant.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Computer Science, Interdisciplinary Applications
Jiale Qian et al.
Summary: A novel framework was proposed to quantify city-level dynamic functions of 200 cities in China using location-aware big data from social media. Results showed that urban functions of cities change dynamically from daybreak to evening, and cities can be grouped into two or four clusters based on their dominant functions. Additionally, the equilibrium indexes exhibit a power-law relationship with their rankings.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Geography
Zahratu Shabrina et al.
Summary: This article examines the relationship between Airbnb locations and core elements of urban tourism using geographically weighted regression and its multiscale form. The study shows that incorporating localities improves overall model performance and suggests that Airbnbs may benefit local businesses outside major tourist zones.
GEOGRAPHICAL ANALYSIS
(2021)
Article
Geography
Haiping Zhang et al.
Summary: This study uses restaurant point of interest data to explore the food culture in mid-eastern China, finding different spatial patterns between local and non-local restaurants, with social economy playing a significant role. Globalization has impacted Chinese food culture, but local specialty cuisines have been preserved in their regions. This research formalizes food culture using GIS methods, demonstrating the potential of GIS techniques in analyzing spatial patterns and correlations of cultural phenomena.
TRANSACTIONS IN GIS
(2021)
Article
Computer Science, Information Systems
Chenyu Lu et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Computer Science, Information Systems
Pawel Cichosz
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Computer Science, Information Systems
Renato Andrade et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2020)
Article
Geography
Juntao Lai et al.
TRANSACTIONS IN GIS
(2020)
Article
Computer Science, Interdisciplinary Applications
Fan Zhang et al.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2020)
Article
Computer Science, Information Systems
Jing Yang et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2019)
Article
Computer Science, Information Systems
Wenhao Yu et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2017)
Article
Geography
Peter A. Rogerson
GEOGRAPHICAL ANALYSIS
(2015)
