Environment and Planning B: Urban Analytics and City Science

Aims & Scope

Environment and Planning B: Urban Analytics and City Science is an international, multidisciplinary journal focused on the application of quantitative, computational, design and visual methods to the spatial and morphological structure of cities and regions.

Areas of methodological interest include geocomputation, spatial statistics, geographical information science, computational modelling, visualisation, agent based modelling, crowdsourcing, big data, optimisation, and urban analytics.

Papers are invited that provide empirical evidence for understanding, planning or theorising how urban systems and processes emerge.

We welcome papers that show how formal models can be used to explore how cities and their elements behave, reproduce, evolve, or impact upon urban forms and functions, and on the livability, equality and sustainability of cities.

Papers on topical themes such as complexity theory, smart cities, and urban science are encouraged.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.1
2024	2.60

SJR (SCImago Journal Rank)

Year	Value
2024	1.073

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	117

Journal Rank

Year	Value
2024	4288

Journal Citation Indicator

Year	Value
2024	2105

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, Environmental Science and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Digital twins

  Citation: 303

  Authors: Michael

• Urban planning, public participation and digital technology: App development as a method of generating citizen involvement in local planning processes

  Citation: 122

  Authors: Alexander, Mark, Rob

• Does block size matter? The impact of urban design on economic vitality for Chinese cities

  Citation: 117

  Authors: Ying, CC

• The visual quality of streets: A human-centred continuous measurement based on machine learning algorithms and street view images

  Citation: 103

  Authors: Yu, Wei, Qiaomu, Xiaohu, Yi

• Artificial intelligence and smart cities

  Citation: 96

  Authors: Michael

• How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China

  Citation: 94

  Authors: Anqi, Weifeng, Jiayu, Jian, Jianqun, Chang

• The Coronavirus crisis: What will the post-pandemic city look like?

  Citation: 91

  Authors: Michael

• Evaluating and characterizing urban vibrancy using spatial big data: Shanghai as a case study

  Citation: 89

  Authors: Bo, Yulun, Zhigang, Yimeng, Jixuan, Wei

• Polycentric urban development in China: A multi-scale analysis

  Citation: 75

  Authors: Xingjian, Ben, Mingshu

• A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood

  Citation: 75

  Authors: Geoff

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