Measuring Streetscape Design for Livability Using Spatial Data and Methods

City streets are the most widely distributed and heavily trafficked urban public spaces. As cities strive to improve livability in the built environment, it is important for planners and designers to have a concise understanding of what contributes to quality streetscapes. The proportions and scale of buildings and trees, which define the three-dimensional extents of streetscapes, provide enduring, foundational skeletons. This thesis investigates how characteristics of such streetscape skeletons can be quantified and tested for appeal among human users. The first of two journal-style papers identifies a concise set of skeleton variables that urban design theorists have described as influential to streetscape appeal. It offers an automated GIS-based method for identifying and cataloging these skeleton variables, which are practical to measure using widely available spatial data. Such an approach allows measurement of tens of thousands of street segments precisely and efficiently, a dramatically larger sample than can be feasibly collected using the existing auditing techniques of planners and researchers. Further, this paper examines clustering patterns among skeleton variables for street segments throughout Boston, New York, and Baltimore, identifying four streetscape skeleton types that describe a ranking of enclosure from surrounding buildings--upright, compact, porous, and open. The types are identifiable in all three cities, demonstrating regional consistency in streetscape design. Moreover, the types are poorly associated with roadway functional classifications--arterial, collector, and local--indicating that streetscapes are a distinct component of street design and must receive separate planning and design attention. The second paper assesses relationships between skeleton variables and crowdsourced judgments of streetscape visual appeal throughout New York City. Regression modeling indicates that streetscapes with greater tree canopy coverage, lined by a greater number of buildings, and with more upright cross-sections, are more visually appealing. Building and tree canopy geometry accounts for more than 40% of variability in perceived safety, which is used as an indicator of appeal. While unmeasured design details undoubtedly influence overall streetscape appeal, basic skeletal geometry may contribute important baseline conditions for appealing streetscapes that are enduring and can meet a broad variety of needs

Street-Frontage-Net: urban image classification using deep convolutional neural networks

Quantifying aspects of urban design on a massive scale is crucial to help develop a deeper understanding of urban designs elements that contribute to the success of a public space. In this study, we further develop the Street-Frontage-Net (SFN), a convolutional neural network (CNN) that can successfully evaluate the quality of street frontage as either being active (frontage containing windows and doors) or blank (frontage containing walls, fences and garages). Small-scale studies have indicated that the more active the frontage, the livelier and safer a street feels. However, collecting the city-level data necessary to evaluate street frontage quality is costly. The SFN model uses a deep CNN to classify the frontage of a street. This study expands on the previous research via five experiments. We find robust results in classifying frontage quality for an out-of-sample test set that achieves an accuracy of up to 92.0%. We also find active frontages in a neighbourhood has a significant link with increased house prices. Lastly, we find that active frontage is associated with more scenicness compared to blank frontage. While further research is needed, the results indicate the great potential for using deep learning methods in geographic information extraction and urban design

Robocar and Urban Space Evolution:

How can we create more human-centered, resilient, and sustainable cities in the tech age? Can we make use of technology and the opportunities presented rather than resisting its fast-paced evolution? What are the biggest and most likely spatial changes that autonomous vehicles will bring in cities? How can this change in mobility contribute to a better urban environment? To what extent do the spatial opportunities created by automated mobility respond to current urban issues and what is the role of urban design and spatial planning in this debate? Autonomous cars—Robocars—will dramatically change urban environments and the practice of urbanism, potentially making cities less dependent on and less dominated by cars. Driverless and mainly guided by digital infrastructure, Robocars can open up new opportunities for urban development. If guided by sustainable development goals, the automation of mobility can lead to urban evolution—a shared paradigm shift in mobility and urban design. However, if Robocars are introduced as profit-driven products rather than tools to improve cities, they can cause sprawl, undermine public transport and reduce active mobility, ultimately affecting people’s health and wellbeing. Consequently, it is necessary to explore how the Robocars’ technological capabilities can provide solutions to pressing urban issues, such as growth, climate change, environmental quality, social inequality and the energy transition. On September 13, 2018, the Section of Urban Design at the Faculty of Architecture and the Built Environment, TU Delft, organised a public debate with international and Dutch experts to discuss the spatial changes that autonomous cars may bring about in cities. Subsequently, this publication gathers illustrated contributions by the key speakers at the symposium, which present ideas and further reflection points on Robocars’ relation to the urban environment. The three thematic sessions of the symposium were video recorded and are available online at robocarevolution.com. The symposium and the publication aim to raise awareness about the importance of the topic for the field of urban design and other disciplines dealing with various aspects of urban sustainability. To date, the topic of autonomous cars has mainly been addressed by car industries, technology companies and transportation planning groups. The current discourse is predominantly driven by business and marketing goals, potentially leading to cities shaped around technology. In this context, the symposium and the publication are a step forward to engaging various experts in a debate around Robocars and urban design. They propose a complementary approach to the current tech discourse on automated mobility by emphasising the importance of an urban design and spatial planning perspective, thus exploring Robocars as a spatial project. Automated vehicles can bring a mobility revolution: traffic systems and infrastructure can be reinvented, public and private transport modes can blend, and the logic of mobility in cities can be reformed, as time spent in the car will no longer be lost. Such changes create spatial opportunities and can help cities respond better to sustainable development goals; for instance, the space made available if Robocars could park themselves can be redesigned and, instead of parked cars, streets can accommodate more green space and larger sidewalks, revaluing streets as public spaces. The goal of the Robocar and Urban Space Evolution symposium and publication is to start a more inclusive debate about Robocars and their impact on the urban environment and to explore the potential of this new technology beyond market-oriented goals. The experts involved came from multiple disciplines, including spatial planning, urban design, architecture, ecology, psychology, environmental engineering and transportation planning. They discussed why and how we need to engage with the topic, given that mobility automation will dramatically shape the urban environment in different contexts and societies in the coming decades. The publication includes contributions by Rients Dijkstra and Anca Ioana Ionescu, Dominic Stead, Víctor Muñoz Sanz, David Hamers, Salvador Rueda, Nico Larco, Emilia Bruck and Mathias Mitteregger

街路景観のビッグデータとコンピューター視覚技術に基づく都市街路の空間知覚と物理的特徴に関する研究

Based on Streetscape big data and computer vision technology,the streets of typical coastal cities Qingdao and Fukuoka were selected as the site to explained the correlation between physical features and the perceptual features of urban streets to evaluation of the quality of street space. Combining the existing evaluation indexes of spatial perception from the expert and the public point of view , the study discussed the influence mechanism of physical parameters and perception. It proposed a method of locating street space design problems in coastal cities. The study not only will reflect the urban landscape current situation ,but also provide the basis to optimize the quality of urban street space design efficiently and large-scale. Moreover, it will promote the scientific development of urban construction and planning.北九州市立大

Sustainable | Sustaining City Streets

Streets are an integral part of every city on Earth. They channel the people, vehicles, and materials that help make urban life what it is. They are conduits for the oft-taken-for-granted infrastructures that carry fresh water, energy, and information, and that remove excess stormwater and waste. The very air that we breathe—fresh or foul—flows through our street canyons. That streets are the arteries of the city is, indeed, an apt metaphor. But city streets also function as a front yard, linear ecosystem, market, performance stage, and civic forum, among other duties. In their various forms, streets are places of interaction and exchange, from the everyday to the extraordinary. As the editors affirm, the more we scrutinize, share, and activate sustainable approaches to streets, the greater the likelihood that our streets will help sustain life in cities and, by extension, the planet. While diverse in subject, the papers in this volume are unified in seeing the city street as the complex, impactful, and pliable urban phenomenon that it is. Topics range from greenstreets to transit networks to pedestrian safety and walkability. Anyone seeking interdisciplinary perspectives on what makes for good city streets and street networks should find this book of interest