Computational Urban Science

Abstract The interactive relation between transportation and urban spatial structure remains a significant yet challenging issue in transport engineering and urban planning. Most previous studies indicate that the coordination of transportation and urban structure is conducive to solve urban diseases and promote urban sustainable development. Grounded in the theory of city-region spatial structure, this study examines the spatiotemporal dynamics of urban spatial structure from 2006 to 2019 and investigates the impact of transportation on shaping urban spatial structure in prefecture-level cities in China using spatial Durbin model. Major findings include: first, the nighttime light remote sensing data is employed to characterize urban spatial structure with the mono-centricity index ranging from 0.26 to 0.48. The coastal cities tend to exhibit the polycentric structure, while the cities in western region often display the monocentric structure. Second, there is a gradual decline in mono-centricity structure in these cities. Spatial heterogeneity in urban spatial structure is evident in eastern, central, western and northeastern China. Third, transportation significantly and positively influences spatial structure, however, the impact varies across regions and city sizes. Finally, policy implications are proposed based on these findings, such as promoting the integrated land use-transportation development, implementing targeted regional policies, and enhancing land use spatial planning.

Chih-Lin Tung

Sanwei He

Ling Mei

Huiyuan Zhang

Exploring the influence of transportation on urban spatial structure using the spatial Durbin model: evidence from 265 prefecture-level cities in China

利用空间杜宾模型探究交通对城市空间结构的影响：来自中国265个地级市的证据

Abstract This study explores the future of Urban Digital Twin (UDT) in urban planning systems of developing countries, with a focus on Iran. Despite UDT's growing popularity, its implementation in developing countries is limited. The research identifies critical factors influencing UDT development, including organisational acceptance, urban infrastructure, policy and legislation, and technology and innovation. Using a futures studies approach, the study employs the Delphi method, MICMAC (Matrix Impact Cross-Reference Multiplication Applied to a Classification) technique, and SISMW (Strategic Uncertainties and Strengths Weaknesses Opportunities and Threats Matrix) methodologies to analyse these factors. The study reveals that international sanctions, organisational factors, technological factors, and infrastructure limitations hinder UDT development in Iran. However, UDT technology has the potential to transform urban planning in developing countries. The study provides a roadmap for collaboration between public and private sectors and research institutes to facilitate UDT implementation, highlighting the importance of legislative frameworks, digital infrastructure, innovation, and stakeholder engagement. Policy implications suggest that governments should prioritise supportive policies, investments in digital infrastructure, and collaborative efforts to address data privacy, security, and ownership issues. By addressing these challenges, developing countries can leverage UDT technology to improve urban planning, resource management, and quality of life.

Nader Zali

Ali Soltani

Peyman Najafi

Salima Ebadi Qajari

Mehrdad Mehrju

Digital Twins for Smarter Iranian Cities: A Future Studies Perspective

伊朗智慧城市的数字孪生：未来研究视角

Abstract This paper provides a baseline understanding on the anatomy of car-based ride-hailing (CBRH) and motorcycle-based ride-hailing (MBRH) trips in emerging economies, using the case of the Jakarta Metropolitan Area (JMA). Leveraging innovative urban data collection technologies, as manifested in an app-based travel survey with high granularity, this study unravels the spatial patterns of ride-hailing trips, trip-level characteristics (purpose, distance, time of day, duration), and their interaction with other modes, particularly transit. Based on recorded ride-hailing trips and a suite of descriptive analyses, findings suggest that: 1) ride-hailing is primarily a central city phenomenon, with most trips occurring to and from dense and spatially mixed neighborhoods; 2) there are substantial differences in trip characteristics between CBRH and MBRH; and 3) a predominant share of ride-hailing trips are stand-alone trips, coupled with insights that nearly 40% of ride-hailing trips likely fill the gap where quality transit services are lacking.

Alyas Widita

None Ikaputra

Dyah T. Widyastuti

The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes

雅加达都市区网约车行程的解剖：空间模式、行程特征及与其他交通方式的互动

Abstract Outdoor jogging is increasingly recognized as a crucial component of urban active transport strategies aimed at improving public health. Despite growing research on the influence of both natural and built environmental factors on outdoor jogging, less is known about the relative importance of these factors. Moreover, the spatial heterogeneity effects of environmental factors remain unclear. Failing to consider these varying effects regarding impact intensity and spatial scale results in inefficient planning policies aimed at promoting active transport. This study addresses these gaps by analyzing crowdsourced jogging trajectory data in Shenzhen using a computational framework that combines Random Forest Variable Importance (RF-VI) and Multi-Scale Geographically Weighted Regression (MGWR). The analysis identifies hierarchical environmental effects and the varying impacts of twelve key determinants across different spatial scales. Results reveal that natural environmental factors are most contributing to outdoor jogging, while density-related built environment factors contribute the least. Additionally, environmental effects vary in scale, direction, and intensity, with seven variables exerting global impacts and five showing localized effects. Notably, the central and suburban areas of Shenzhen display considerable spatial heterogeneity in environmental influences. The findings inform the importance of integrating green infrastructure, mitigating over-dense urban development, and enhancing pedestrian-accessible road networks to promote outdoor jogging. These insights advocate for context-sensitive urban planning that balances natural and built environments to to foster healthier mobility.

Chengbo ZHANG

Dongbo SHI

Zuopeng XIAO

Integrating variable importance and spatial heterogeneity to reveal the environmental effects on outdoor jogging

整合变量重要性与空间异质性以揭示环境对户外慢跑的影响

Abstract In modern times, cities around the world have grappled with the challenges of racial and ethnic segregation. In Nairobi city, with its diverse ethnic makeup, there is widening inequalities and emerging patterns of ethnic segregation, where the five main ethnic groups - Kamba, Luo, Kikuyu, Luhyia, and Kisii - experience varying levels of spatial concentration. This study analysed the spatial patterns of ethnic segregation in Nairobi, using geocoded questionnaire data from the 2019 Kenya population and housing census data. We used the Index of Dissimilarity in STATA software and Geo-segregation Analyzer and Anselin’s Local Moran I method in GIS to map ethnic segregation patterns. Our findings uncovered a striking socio-spatial divide based on ethnicity. Anselin Local Moran’s I indicators further pinpointed areas with the highest levels of segregation and spatial clustering of specific ethnic groups. These findings offer crucial insights for urban planners and policymakers. By pinpointing areas experiencing the most severe spatial segregation, our research could inform spatially targeted interventions and resource allocation. This could inform policies that foster inclusivity, reduce spatial inequalities, and build a more equitable and socially cohesive city.

Nthiwa Alex Ngolanye

Kisovi Leornard

Kibutu Thomas

Muiruri Philomena

Mapping the spatial patterns of ethnic segregation and its implications to urban policy in Nairobi city

绘制内罗毕城市民族隔离的空间模式及其对城市政策的启示

Abstract The imbalance between supply and demand is a pressing issue in the development of the tourism industry. Understanding the coupling coordination relationship and impact mechanism of supply-demand in the tourism system can help achieve high-quality tourism development. This study focuses on the Yangtze River Economic Belt (YREB) as the research area, quantifies the tourism supply index (TSI) and tourism demand index (TDI) from 2011 to 2020 using the tourism development index model, calculates the coupling coordination degree (CCD) of TSI and TDI based on the coupling coordination model, and explores the factors influencing the CCD using the geographic detector. The findings indicate that: (1) The TSI and TDI in various provinces show fluctuation but exhibit an overall upward trend. (2) There were apparent spatial disparities of the CCD, with a distribution characteristic of high in the east and low in other regions. The CCD gradually improved, with its gravity center slowly shifting toward the southwest. All provinces entered the intermediate stage of tourism development since 2014. (3) Basic service guarantee, consumption drive, and innovation drive are identified as the dominant factors influencing the CCD. The study can provide valuable insights for tourism coordination and sustainable development.

Li Liu

Jin Luo

The spatio-temporal evolution and influencing factors of the coupling coordination degree between tourism supply and demand in the Yangtze river economic belt

长江经济带旅游供需耦合协调度的时空演变及影响因素

短名	Comput.Urban Sci.
Journal Impact	2.55
国际分区	REGIONAL & URBAN PLANNING(Q2)

涉及主题	computational sciencebuilt environmenturban modellingurban development
出版信息	出版商: Springer，出版周期: ，期刊类型: journal，开源期刊: 是
基本数据	创刊年份: 2021，原创研究文献占比: ，自引率:， Gold OA占比:
平均审稿周期	10 weeks

Computational Urban Science

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Exploring the influence of transportation on urban spatial structure using the spatial Durbin model: evidence from 265 prefecture-level cities in China

Digital Twins for Smarter Iranian Cities: A Future Studies Perspective

The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes

Integrating variable importance and spatial heterogeneity to reveal the environmental effects on outdoor jogging

Mapping the spatial patterns of ethnic segregation and its implications to urban policy in Nairobi city

Integrating variable importance and spatial heterogeneity to reveal the environmental effects on outdoor jogging

The anatomy of ride-hailing trips in the Jakarta metro: spatial patterns, trip-level characteristics, and interaction with other modes

Digital Twins for Smarter Iranian Cities: A Future Studies Perspective

The spatio-temporal evolution and influencing factors of the coupling coordination degree between tourism supply and demand in the Yangtze river economic belt

Mapping the spatial patterns of ethnic segregation and its implications to urban policy in Nairobi city

ISSN	2730-6852
h-index	9