The role of data in sustainability assessment of urban mobility policies

Liu, Xu; Dijk, Marc

doi:10.1017/dap.2021.32

Cited by 11 publications

(8 citation statements)

References 137 publications

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“…( 1) Historical (conventional) data: survey data, GIS data, schedules. (2) Dynamic data (big data): GPS data, built-in sensors in traffic lights/roads, mobile phone data, public transport card data, social media data (Abduljabbar et al, 2019;Liu & Dijk, 2022). Big data is characterised by a wide variety of data that is so large in volume that humans cannot process them unassisted, and neither traditional algorithms, as it collected and updated in near real-time in various forms (Sanders et al, 2019).…”

Section: How Data Is Central To Maasmentioning

confidence: 99%

“…Big data is characterised by a wide variety of data that is so large in volume that humans cannot process them unassisted, and neither traditional algorithms, as it collected and updated in near real-time in various forms (Sanders et al, 2019). It is also used to explore complex relationships among different datasets to depict and predict macrotrends for the future through its processing by AI algorithms (Chen et al, 2016;Liu & Dijk, 2022). Therefore, it is mainly big data, not so much historical data, that marks the link between knowledge production and governance for MaaS systems and organisations in general (Ruppert et al, 2017).…”

Section: How Data Is Central To Maasmentioning

confidence: 99%

See 1 more Smart Citation

Data, AI and governance in MaaS – Leading to sustainable mobility?

Servou¹,

Behrendt²,

Horst³

2023

Transportation Research Interdisciplinary Perspectives

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Section: How Data Is Central To Maasmentioning

confidence: 99%

Section: How Data Is Central To Maasmentioning

confidence: 99%

Data, AI and governance in MaaS – Leading to sustainable mobility?

Servou¹,

Behrendt²,

Horst³

2023

Transportation Research Interdisciplinary Perspectives

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“…EBP is constituted by the relationship between data and information as it is transformed into knowledge (Davoudi, 2006; Krizek et al, 2009). The use of research-generated evidence for EBP can be conducted through various forms, sources, infrastructure, and methods for its utilization in practice (e.g., policy and governance) (Nochta et al, 2021; Liu and Dijk, 2022). For instance, a combination of multiple disciplinary methodologies (e.g., geospatial analysis, online participatory tools, observations) can enable new lines of thinking providing fresh insights and enhancing the validity of the findings as each data source and analysis complements the other (Amaratunga et al, 2002).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Such evidence can inform, advise, monitor, evaluate, and revise the decisions made by policy advisors and urban planners. Liu and Dijk (2022) research concludes that the availability of open and big data provides additional and relevant information for evidence-based solutions. However, it cannot yet be replaced by traditional data usage (surveys, statistics).…”

Section: Introductionmentioning

confidence: 99%

Socio-spatial aspects of creativity and their role in the planning and design of university campuses’ public spaces: A practitioners’ perspective

et al. 2022

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This paper investigates how socio-spatial aspects of creativity, operationalized as the causal relations between the built environment and perceived creativity in university campuses’ public spaces, are currently applied in practice. Moreover, it discusses practitioners’ perceptions regarding research-generated evidence on socio-spatial aspects of creativity according to three effectiveness aspects: credibility, relevance, and applicability. The “research-generated evidence” is herein derived from data-driven knowledge generated by multi-disciplinary methodologies (e.g., self-reported perceptions, participatory tools, geospatial analysis, observations). Through a thematic analysis of interviews with practitioners involved in the (re)development of campuses public spaces of inner-city campuses and science parks in Amsterdam, Utrecht, and Groningen. We concluded that socio-spatial aspects of creativity concepts were addressed only at the decision-making level for Utrecht Science Park. Correspondingly, while presented evidence was considered by most practitioners as relevant for practice, perceptions of credibility and applicability vary according to institutional goals, practitioners’ habits in practice, and their involvement in projects’ roles and phases. The newfound interrelationships between the three effectiveness aspects highlighted (a) the institutional fragmentation issues in campuses and public spaces projects, (b) the research-practice gap related to such projects, which occur beyond the university campuses’ context, and (c) insights on the relationship between evidence generated through research-based data-driven knowledge and urban planning practice, policy, and governance related to knowledge environments. We concluded that if research-generated evidence on socio-spatial aspects of creativity is to be integrated into the evidence-based practice of campuses’ public spaces, an alignment between researchers, multiple actors involved, policy framing, and goal achievements are fundamental.

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“…EBP is constituted by the relationship between data information as it is transformed into knowledge . The use of research-generated evidence for EBP can be conducted through various forms, sources, infrastructure and methods for its utilisation in practice (e.g., policy and governance) (Nochta, Wahby and Schooling, 2021;Liu and Dijk, 2022). For instance, a combination of multiple disciplinary methodologies (e.g., geospatial analysis, online participatory tools, observations) can enable new lines of thinking providing fresh insights and enhancing the validity of the findings as each data source and analysis complements the other .…”

Section: Effectiveness Of Research Evidence For the Decision-making P...mentioning

confidence: 99%

Understanding the socio-spatial aspects of creativity in public spaces of Dutch university campuses

Soares¹

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List of figures 1.1.4.2. Data collection and analysis 1.5. Structure of the thesis References 2.The Relationship between the Spatial Configuration and the Fourth Sustainable Dimension Creativity in University Campuses:The Case Study of Zernike Campus, Groningen, the Netherlands 2.1. Introduction 2.2. Literature Review 2.2.1. Spatial configuration: Space syntax for university campus planning and design 2.2.2. Mapping people's perceptions and observing interactions 2.2.3. Creativity as the fourth sustainability through the lens of space syntax and the sense of place 2.3. Materials and methods 2.3.1. Case study: Zernike Campus, Groningen, the Netherlands 2.3.2. Computational analysis with space syntax 2.3.3. Volunteered Geographic Information (VGI) 2.3.4. Combining the space syntax model with volunteered Geographic Information (VGI) data 2.3.5. Observation of interactions between people and the built environment 2.4. Results and discussion 2.4.1. Potential for creative encounters through spatial configuration 2.4.2. Superimposing people's perceptions on space syntax results 2.4.3. Observation analysis: Physical features, interactions and creativity 2.5. Conclusions references 3. Public spaces as knowledgescapes: Understanding the relationship between the built environment and creative encounters at Dutch university campuses and science parks 3.1. Introduction 3.2. Literature Review 3.2.1. Spatial affordances for creativity of university campuses 3.2.2. Public spaces: The interface between perceptions and built environment features 3.3. Materials and methods 3.3.1. Case studies 3.3.2. Volunteered Geographic Information (VGI) and spatial analysis 3.3.3. The interface between mapped perceptions and builtenvironment features 3.3.4. Differences and similarities between public spaces of inner-city campuses and science parks 3.4. Results and discussion 3.4.1. Perceptions of creative encounters throughout campus public spaces 3.4.2. The proximity between high-value cells and characteristics of the built environment 3.4.3. Differences and similarities of creative encounters and public spaces at inner-city campuses and science parks 3.5. Conclusions References 4. The impact of the built environment on creativity in public spaces of Dutch university campuses and science parks 4.1. Introduction 4.2. Methodology 4.2.1. Study areas 4.2.2. Data collection 4.2.3. Statistical analysis 4.3. Results 4.3.1. Frequency of creative encounters 4.3.2. Pooled model 4.3.3. Comparative models 4.4. Discussion and conclusion References 5. Socio-spatial aspects of creativity and their role in the planning and design of university campuses public spaces: a practitioners' perspective 5.1. Introduction 5.2. Theoretical Framework 5.2.1. University campuses' public spaces and creativity 5.2.2. Effectiveness of research evidence for the decision-making, planning and design of public spaces 5.3. Methodology 5.3.1. The institutional context of Dutch campuses' public spaces 5.3.2. Case selection 5.3.3. Data collection and participants 5.3.4. Data analysis...

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The role of data in sustainability assessment of urban mobility policies

Cited by 11 publications

References 137 publications

Data, AI and governance in MaaS – Leading to sustainable mobility?

Data, AI and governance in MaaS – Leading to sustainable mobility?

Socio-spatial aspects of creativity and their role in the planning and design of university campuses’ public spaces: A practitioners’ perspective

Understanding the socio-spatial aspects of creativity in public spaces of Dutch university campuses

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