Modeling Visit Potential to Predict Hotspots of a Future District DOI Creative Commons
Younes Delhoum, Rachid Belaroussi

Infrastructures, Journal Year: 2023, Volume and Issue: 8(10), P. 145 - 145

Published: Oct. 11, 2023

Understanding frequentation patterns allows urban planners to optimize the allocation of resources and infrastructure development. This includes determining locations for schools, hospitals, public transportation, parks, other amenities efficiently meet needs population. paper proposes a study Visit Potential Model, an integrated model evaluating characteristics spaces. It is used predict potential presence people in specific or places. The combines universal law visit frequencies cities with gravity measurement accessibility. adapted Model represented as graph by connecting spaces spaces: population objects attractor objects. Population represent places where go out, such houses, offices, schools. Attractor include destinations that visit, leisure parks shopping malls. Originally, this static was defined single time-frame explicitly taking into account time component dynamic derived. A future district under construction case study: multimodal transportation built simulate analyze motion people. reported outcomes can be analyzed provide us first insights visiting district’s define its hotspots interaction.

Language: Английский

Evolution of urban vitality drivers from 2014 to 2022: a case study of Kunming, China DOI
Yinrui Xie, C. Shang, Xin Deng

et al.

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 23, 2025

Language: Английский

Citations

2
Spatial performance evaluation and optimization of integrated aboveground and underground spaces in urban commercial complexes DOI Creative Commons
Xiaochun Hong, Shengcai Li, Tao Chen

et al.

Journal of Asian Architecture and Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: Feb. 7, 2024

As urban areas experience economic growth and expansion, the development scale intensity of commercial complexes have notably increased. Integrating aboveground underground spaces enhances vitality latter, thereby improving land efficiency. However, these encounter challenges, including disconnections in design, leading to poor continuity suboptimal outcomes. Existing research predominantly discusses individual factors influencing space integration, lacking a comprehensive assessment framework for integrated complex development. This study introduces spatial performance evaluation encompassing four key dimensions: functional spaces, transportation systems, public landscape environments. Representative cases three types – courtyard-style with inward aggregation, outward radiation, inner street-style are selected evaluation. Findings indicate that system exert most significant impact, while environment relatively smaller influence. Considering distinctive characteristics development, we propose prioritizing emphasizing advocating balanced approach Specific optimization directions case studies outlined. The study’s conclusions guide scientific complexes, ultimately enhancing overall

Language: Английский

Citations

5
Study on Development Pattern and Comprehensive Evaluation of Integration of Urban Underground Space and Rail Transit in China DOI Open Access

Mengchen Yang,

Yusong Zhu,

Xiang Ji

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2497 - 2497

Published: March 12, 2025

China’s urban development has entered the stage of renewal, transitioning from large-scale incremental construction to stock enhancement and renovation. In response challenges such as traffic congestion land-use constraints, planning increasingly prioritized underground space (UUS) rail transit (URT). However, disparities in levels across cities, well fragmented uncoordinated integration UUS URT, remain significant challenges. While existing studies have predominantly examined URT independently, interaction between two been largely overlooked. order supplement this gap, aim study is construct an integrated measurement framework quantitatively assess level 38 Chinese cities. We seek explore interrelationship two, identify differences process discuss potential implications for policy making. Specifically, assembles index three dimensions (UUS, development), evaluates cities by using entropy weighting VIKOR methods, summarizes regionalization characteristics K-means clustering. The results show that (1) there a positive correlation degree affected development; (2) dominant system URT; (3) sample can be classified according into types developing (47.37%), mature (21.05%), underdeveloped (31.58%), clustering effect on overall spatial distribution.

Language: Английский

Citations

0
Examining the impact of urban environment on healthy vitality of outdoor running based on street view imagery and urban big data DOI
Xinyue Gu, Lei Zhu, Xintao Liu

et al.

Journal of Geographical Sciences, Journal Year: 2025, Volume and Issue: 35(3), P. 641 - 663

Published: March 1, 2025

Language: Английский

Citations

0
Spatiotemporal Analysis of Urban Vitality and Its Drivers from a Human Mobility Perspective DOI Creative Commons
Yuandong Wu, Changsheng Xie, Aiping Zhang

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(4), P. 167 - 167

Published: April 11, 2025

Urban vitality is a critical metric for assessing the development and appeal of urban areas, playing pivotal role in planning management. Traditionally, surveys census data have been used to measure vitality; however, these methods are often time-consuming, resource-intensive, limited coverage. This study addresses limitations by employing mobile phone signaling develop model quantifying exploring its spatiotemporal distribution patterns. By integrating socioeconomic, street view, points-of-interest (POI) data, this utilizes linear regression geographically weighted (GWR) models analyze influence various factors on vitality. The SHapley Additive exPlanations (SHAP) method then applied interpret predictions identify key determinants Using Shenzhen as case study, results reveal pronounced spatial disparities Among all variables, bus stop density, cultural services, employment density consistently exhibit significant effects proposed quantification framework enables high-resolution wide-coverage monitoring vitality, providing scientific support decision-making guidance understanding dynamic characteristics spaces optimizing functional layouts.

Language: Английский

Citations

0
Identifying Nighttime Vitality Through Multisource Geodata: An Explainable AI Perspective DOI
Sheng Li, Xiaojin Liang, Jie Yu

et al.

Transactions in GIS, Journal Year: 2025, Volume and Issue: 29(3)

Published: May 1, 2025

ABSTRACT Nighttime vitality serves as a crucial criterion for assessing the attractiveness and competitiveness of urban areas. The varying multifaceted characteristics nighttime across neighborhoods reflect residents' preferences, social demands, localized economies. objective this study is to comprehensively assess by integrating multiple geospatial data sources, including mobile phone data, remote sensing small catering businesses data. Furthermore, within an explainable artificial intelligence (XAI) framework, aims quantitatively analyze nonlinear relationships between influencing factors vitality. To enhance interpretability, we employ SHapley Additive exPlanations (SHAP) visual model interpretation. This can further theory vitality, deepen understanding relationships, facilitate implementation AI in studies. findings effectively provide guidance planning decision‐making, improve quality life, promote sustainable development.

Language: Английский

Citations

0
Research on the Spatiotemporal Pattern and Influencing Mechanism of Coastal Urban Vitality: A Case Study of Bayuquan DOI Creative Commons

Chaonan Hu,

L. Colin Xu, Xindong Cai

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2173 - 2173

Published: July 15, 2024

Enhancing the spatial vitality of coastal cities is beneficial for sustainable development urban construction. However, how to fully utilize resources and boost an important issue. This study takes city Bayuquan in China’s cold region as example. Firstly, we conducted field investigations data mining Bayuquan, utilizing Baidu heat map measure spatial–temporal different areas Bayuquan. Secondly, used Moran’s I test examine autocorrelation vitality. Lastly, with help OLS GWR models, explored factors influencing built environment. The research findings indicate following: (1) There are differences heavily influenced by tourist season. (2) results show that impact environment on exhibits heterogeneity during seasons. found no harbor district. (3) district tourism-driven re quire differentiated construction guidance. Facility functions block morphology mainly influence district, while primarily affected its aesthetic characteristics. can propose regional guidance specific feasible design strategies seasonally It holds significant implications improving living quality vital decision-makers, planners, stakeholders.

Language: Английский

Citations

2
Catalyzing Urban Dynamics: Fostering Information Exchange, Encouraging Innovation, and Facilitating Knowledge Creation in the Macau Peninsula DOI
Pan Chen, Haibo Li, Lu Wang

et al.

Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown

Published: May 14, 2024

Language: Английский

Citations

1
What affected the vitality of high-speed rail station areas? A case study of Chengdu-Chongqing urban agglomeration, China DOI Creative Commons
Yang Xian, Yu Yang, Panyu Peng

et al.

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

Published: July 11, 2024

With the rapid expansion of high-speed rail (HSR), HSR station areas are often key development cities and gateways to display cities’ image. However, problem lack vitality in these has emerged. Limited studies have quantified examined factors influencing it. The purpose this study is assess impact various on areas. To accomplish objective, we propose a method for measuring using Baidu’s real-time user density data. We demonstrate through case 91 Chengdu-Chongqing urban agglomeration China. construct structural equation models Bayesian approach test effects intercity accessibility, intracity surrounding area density, local socio-economic results show that (1) Intracity socioeconomic significant positive Intercity accessibility negative effect (2) Surrounding positively influences stability weekday weekend Local negatively impacts (3) High-vitality mostly located Chengdu Chongqing, both megacities. Station with low primarily small cities. This study’s findings can be used guide planning decision-making aimed at enhancing their vitality.

Language: Английский

Citations

1
Spatial Vitality Detection and Evaluation in Zhengzhou’s Main Urban Area DOI Creative Commons
Yipeng Ge,

Q Gan,

Yueshan Ma

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3648 - 3648

Published: Nov. 16, 2024

Urban vitality is a concept that reflects dynamic changes in economic, social, and cultural aspects, emphasizing the importance of diversified land use dense population. With technological advancements, research methods on urban are increasingly diverse, particularly with application big data geographic information systems providing new perspectives tools for such studies. Currently, inland Central Plains cities China relatively limited largely confined to specific administrative areas, leading an inadequate understanding basic economic activities population distribution within cities. Therefore, this study aims explore spatial characteristics its influencing factors Zhengzhou’s main area, scientific basis planning sustainable development. This utilizes include Densi graph curve analysis, entropy method, multiscale geographically weighted regression (MGWR) model, integrating statistical data, information, remote sensing imagery Zhengzhou 2023. The MGWR model analysis reveals: (1) area exhibits concentric pattern, high at center gradually decreasing toward periphery, showing significant differences population, vitality. (2) Various positively correlate but due shortcomings development strategies planning, some negatively impact central while affecting peripheral areas. Based these findings, provides relevant evidence theoretical support Zhengzhou, aiding formulation more effective strategies.

Language: Английский

Citations

1