Designing walkable cities and neighborhoods in theera of urban big data
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Guan, ChengHe, Michael Keith, and Andy Hong. 2019. Designing walkable cities andneighborhoods in the era of urban big data. Urban Planning International.

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Designing walkable cities and neighborhoods in theera of urban big data
A special issue on Walkable Cities by Urban Planning International
ChengHe Guan12*, Michael Keith3, and Andy Hong4
1

NYU Shanghai
Harvard-China Project on Energy, Economy and Environment, Harvard University
3
PEAK, Centre on Migration, Policy and Society, University of Oxford
4
George Institute for Global Health, University of Oxford* Corresponding author email: chenghe.guan@nyu.edu
2

Keywords
Walkable cities; walkable neighborhoods; spatial temporal scale and indicators; urban big data
Abstract
In this paper, we discuss walkable cities from the perspective of urban planning and design in theera of digitalization and urban big data. We start with a brief review on historical walkable cities
schemes; followed by a deliberation on what a walkable city is and what the spatial elements of awalkable city are; and a discussion on the emerging themes and empirical methods to measure
the spatial and urban design features of a walkable city. The first part of this paper looks at key
urban design propositions and how they were proposed to promote walkability. The second partof this paper discusses the concept of walkability, which is fundamental to designing a walkablecity. We emphasize both the physical (walkways, adjacent uses, space) and the perceived aspects(safety, comfort, enjoyment), and then we look at the variety of spatial elements constituting awalkable city. The third part of this paper looks at the emerging themes for designing walkablecities and neighborhoods. We discuss the application of urban big data enabled by growing
computational powers and related empirical methods and interdisciplinary approaches including
spatial planning, urban design, urban ecology, and public health. This paper aims to provide aholistic approach toward understanding of urban design and walkability, re-evaluate the spatial
elements to build walkable cities, and discuss future policy interventions.
Acknowledgement and Funding
We appreciate the support from the PEAK Urban Programme, funded by UK Research andInnovation as part of the UK government's Global Challenges Research Fund. Generous funding
was provided by the Harvard-China Project on Energy, Economy and Environment from theHarvard Global Institute, under an award on the theme of “China 2030/2050: Energy andEnvironmental Challenges for the Future”.
11. Urban design propositions promoting walkable city form
In the field of urban planning and design, academics and practitioners alike, the concept ofwalkable city has been widely recognized and applied to achieve the goal of sustainableurbanization. From the garden cities of Welwyn and Letchworth in the UK, envisaged by thesocial reformer Ebenezer Howard, to Le Corbusier and his Contemporary City promoted
efficient urban design that favors economy of scale that warmly embraced by Fordism andTaylorism, and then to a sustainable urban design movement emerged during the post-modern
era, supported by environmental reformers. All has one commonality – cities should be walkable.
1.1. Garden city
In the movement of garden cities, Ebenezer Howard pictured places where access to open spaces
and nature prevail. One of the predominant features of the Garden City is the provision of open
space. These open spaces are integral components of the city form, providing convenientpedestrian access alongside community facilities and public amenities (Bresnehan, 1995).
Welwyn Garden City in the UK was founded on the promises to combine the benefits of the cityand the countryside to celebrate the advantages of both urban and rural (easy access to urban
amenities and to nature), see Figure 1. As Soissons (1988) more explicate stated “a town
designed for healthy living and industry of a size that makes possible a full measure of social life
but not larger, surrounded by a rural belt; the whole of the land being held in trust for thecommunity”. Although far from perfect, as commented by the Times in 1948, Welwyn made new(walkable) towns possible. Struggled with respect to a suitable financial model to support viablehousing option, Garden cities model distinct from conventional development by allowing town
government to control a number of buildings and land where new development might occurs tocomprise/promote walkability of the residents.
<Figure 1. Welwyn Garden City: the self-sufficient and walkable city.>
Source: https://newtownherts.weebly.com/blog/the-other-golden-mile-the-factories-of-welwyngarden-city
1.2. Neighborhood Units
Learning from its British counterparts, American intellectuals were considering new approaches
to establish communities in the United States using the concept of garden cities. In addition, they
sought to apply the concept of neighborhood unit developed by Clarence Perry (Bresnehan,1995). Perry envisaged an ideal neighborhood unit to include 4,000 to 7,000 people (a scale tosupport an elementary school), while multiple neighborhoods converges to form a larger
community or town. Even though Radburn, New Jersey was inevitably affected by the motorage, hence departing from some of the original garden city concept, it emphasized the spatial
design that fosters social interactions, see Figure 2. One concerted effort was the complete2separation of pedestrian from vehicular traffic. This is realized through the application of super
block and vertical intersection. The layout of superblock is essentially irregular shaped blocks
connected by curvilinear network of streets. The vertical intersections are composed of an
overpass and an underpass. Lewis Mumford described Radburn as “the first major departure incity planning since Venice”. However, one limitation is the separation of job and housing, which
is why Radburn and some other neighborhood unit development never grew into their full
expected potentials.
<Figure 2. The design of the Radburn neighborhood units.>
Source: (Stein, C, 1958)
1.3. Modern functionalism and economy of scale
Both Garden Cities and Neighborhood Units intended to provide a safe way to walk in a lowdensity environment. So was the original intention of modern functionalism, despite many
criticisms of its lack of emphasis on pedestrian walkability. Arose with modern functionalism,
aided by the invention of steel-framed structures and vertical elevator, Le Corbusier and his
Contemporary City promoted efficient urban design that favors economy of scale that warmly
embraced by Fordism and Taylorism. For example, the Radiant city as shown in Figure 3. Under
the modernism auspices, individualism was missing and desirable density for cities raised while
compactness plummeted, even though super block has a form a walkability.
The principle of modern functionalism is to design solely based on the purpose and functionof buildings. Applying this principle to urban scale planning and design, city becomes a machine
for living in, as famously said by Le Corbusier. Despite what is being said, “…inspired by thearrangement and functions of the human body, cities consisted of organized parts that would
work together as a whole”, modern functionalism treated cities as machines more than livingorganisms.
<Figure 3. Radiant city by Le Corbusier.>
1.4. Post modernism attempts
Under the modernism auspices, individualism was missing and desirable density for cities raised
while compactness plummeted, even though super block has a form a walkability. Realizing theabsent of human scale space is vital to the livability for its inhabitants and supported byenvironmental reformers, sustainable urban design emerged during the post-modern era andappeared in many forms: from the urban metabolism to compact cities, the charter of the newurbanism, resilient cities, and smart cities etc. The post modernism attempts also catalyzed theemergent of multi-disciplinary approaches. The rising awareness of public health, climatechange, and ecological conservation progressed to experimental urban concepts of healthy cities,
low carbon cities, and ecological cities.
3

1.5. Digital design paradigm and urban big data computation
Propelled by the force of the “atom bomb” and supported by computational power of the Monte
Carlo simulation and Quantum calculation, the era of digitalization and globalization embraces
an era of digitalization and prediction. Wang (2018) claimed that “digital urban design not only
possesses the social values and design originalities of man-machine dialogues, but also possess
quantitative property and database outcomes, which can more effectively combine or even merge
into the statutory urban planning system (of China).” Truly, this argument provides a prospective
to treat design objectives with various spatial scales and social demands.

2. What are walkable cities and neighborhoods?
From garden city to the concepts of the neighborhood unit, and from post modernism
experimentation to the era of digitalization, a good design always involved the intention toprovide walkable urban forms. However, in reality, some urban design propositions have failed
to fulfill the good intention. Learning from the past experiences, now we will discuss the spatial
elements, understand spatial scales, and comprehend design dimensions that can reshapewalkable cities and neighborhoods.
2.1. Spatial elements of walkable cities and neighborhoods
One group of scholars (Hankey and Marshall, 2010; Liu et al, 2016; Zhang et al, 2017; Guan etal, 2019) emphasized the duality of a walkable city, stating the physical (walkways, adjacentuses) and the perceived elements (safety, comfort, enjoyment). From the urban design
prospective, the dichotomy of physical and the perception of the built environment cannot be
separated from each other. Another group used dimension, outcomes, and proxies to summarize
key factors related to walkability (Frank et al, 2005; Duncan, 2013; Forsyth, 2015). In“Walkability: what is it?”, Forsyth (2015) claimed that dimensions include traversable, compact,
safe for walking, and physically enticing environments; outcomes include lively and sociable,
providing sustainable transportation options, and exercise-inducing features; and proxies include
multidimensional in terms of means and holistic solution to improving urban environment(Forsyth, 2015). More recently, quantitative approaches have also gained substantial attention.
Scholars are using metrics for the quantification of a place quality, including walkability,
ecological footprint, and quality of life relating to health conditions (Legates, 2013).
2.2. Spatial indicators of walkable city and neighborhoods
Both individual and neighborhood measures are important spatial indicators of walkable cities.
Song (2014) summarized the spatial metrics of the built environment that contribute topromoting walkable cities (Spatial elements to build walkable cities). These metrics are diversity,4

density, design, and syndetic measures. Ewing and Cervero (2010) combine diversity, density,
distance to transit, destination accessibility into five D’s of walkable environment.
Among the variety of individual spatial measures of walkability, connectivity is one of themost commonly used (Ellis et al, 2016). Berrigan et al (2010) claimed that the more connected
the built environment, the more conducive it is to walking and sustainable mode of transport,
independent of other neighborhood characteristics (Berrigan et al, 2010). Ellis et al (2016)
categorized six measures of connectivity: (1) intersection density; (2) link-node ratio; (3)pedestrian route directness; (4) pedestrian shed; (5) metric reach; and (6) directional reach. Eachmeasure informs slightly different relationship between connectivity and active travel andwalkability (Ellis et al, 2016). These measures focus on street network connectivity, using either
Euclidian distance or network-based time distance.
Density, including population density, residential (housing unit) density, traffic andintersection density (Frank et al, 2010), pedestrian path/foot path density (Ellis et al, 2016),
public transit service density, service amenity density (Pitts et al, 2013), has also been applied tounderstand walkable cities. Density has been criticized of fixed spatial scales related to
Modifiable Areal Unit Problem (MAUP) (Openshaw, 1989; Guan and Rowe, 2016). Because ofthis criticism, density is often measured together with size and location.
Diversity, the most-mentioned characteristics of a walkable city is perhaps mixed land use ordiversity of the land use function. However, few have included people with diverse abilities
across the age spectrum, such as seniors, children and young people (Stafford and Baldwin,2017). Stafford and Baldwin (2017) recommended integration and inclusion of diverse ages andabilities of pedestrians into designing walkable cities. Moreover, there are also cultural, racialand ethnicity, and social diversity. All should be addressed in the planning of walkable cities.
Some recent research has found that composite measures of overall neighborhood walkability
is the also predictive of physical activities, such as walk scores, indexes, and assessment models
are used to evaluate walkability (Ashashank, 2015). Among them, Frank et al (2005) developed awalkability index using 1km radius areas around residents’ home locations. Sundquist et al(2011) also developed a walkability index.
2.3. Design dimension, neighborhood types, and catchment areas
While tradeoffs are made when quantifying walkable cities (Clifton et al, 2008), a recurrent
concern is to translate the quality of the built environment into quantifiable measures (Forsyth etal, 2016). The design dimension is often undervalued to create robust and suitable results(Duncan et al, 2011). Moreover, design is also intrinsically at scale. At the neighborhood scale,design is related to architectural and landscape features. Southworth (2005) stated that these aremicro variables focusing on the form and use of local places. Urban designers are designing whatpedestrian sees, hears, smells, and feels of the surrounding environment (Handy, 1996). While
human dimension is often promoted at a neighborhood level, city scale walkability often

5specializes in the technical aspects of transportation planning and engineering (Southworth,2005).
Design dimensions sometimes can be systematically embedded in neighborhood types. The
type of neighborhood can be categorized by location, year of built, residential units, institutional
association, form and height, purpose of development, etc. For example, a historical conservationneighborhood often is centrally located with a higher percentage of senior residents. A recently
built high-rise commodity neighborhood, on the contrary, are often located further away fromcity center. Promoting walkability and low carbon travel relies on access to public transit and theprovision of retail and commercial amenities.
Design dimension is beyond the proximity theory that assuming people are walking tofacilities nearby. In the theory of “walk appeal,” Steve Mouzon argues that how far people will
walk is all about what they encounter along the way. Some people are willing to take detours
attracted by street level stores, architectural details, and street trees and to avoid surface parking
and undesirable places (MIT CityLab). Walkability has always been discussed within the context
of low carbon transport or health benefits, but walkability can be related to just “pleasanturbanism”, meaning that people just prefer to walk in a nice environment. Perhaps it’s worth toexpand our understanding of design dimension to the perception aspect of walkability.

3. Emerging themes of walkable cities
We identified key emerging themes from research and practice of designing walkable cities.
These themes are not only from urban designer’s perspective but also involving knowledge ofother related disciplines. They are (1) spatial scales and plurality of neighborhoods; (2)interdisciplinary methodology; and (3) the application of urban big data and computational
methods. We illustrate how interventions of the emerging themes can be related to design andpolicy making of walkable cities.
3.1. Spatial scale of walkability
At neighborhood scale, spatial metrics measuring streetscape, building facade, visual complexity,
enclosure, de-specialization, route choice options, and porosity have been widely used (Duncan,
2013; Meltzer, 2014; Bereitschaft, 2018; Guan et al, 2019). At the city scale, quantitative studies
using empirical measures of walkability assessed diversity and land use mix, connectivity andstreet layout, population and housing density (Frank et al., 2010; Freeman et al., 2013). Morerecent studies evaluated attitude toward walkability and self-selection of relocation to build
connection between scales (Cao, 2013). However, fewer studies have included measures ofactual walking behavior at both neighborhood and city scales (Sundquist et al, 2011; Brown etal., 2013; Bereitschaft, 2018). Moreover, regional scale walkability has rarely been discussed.
a. Plurality of neighborhoods6

To design walkable neighborhoods, we need to correctly identify the neighborhood in whichpeople live, work, and play in a contemporary city. For example, an adult who commutes towork or school has at least two broadly-defined physical boundaries: one at home and the otherat work or school. Traditional understanding of neighborhood walkability is related to these
physical boundaries defined by the built environment or the administrative limits. However, theconcept of neighborhood can also be defined by informal boundaries and cultural traditions.
Previous studies used Euclidean distance to measure the catchment area of a neighborhood(Guan and Peiser, 2018). Planning and zoning regulations also adopted a walking distance-based
approach to quantify neighborhood boundaries, which led to the adoption of transit-oriented
development (TOD), a catchment defined by a 5-minute or a10-minute walking shed from public
transit station (Guan, 2018). More recent studies applied network distance to measure time
distance of the catchment area of a neighborhood (Guan et al, 2019; Srinivasan et al, 2019). The
emergent of big data such as mobile phone data and GPS enabled devices enabled us to capture
the real catchment areas of a neighborhood at an individual user’s level. The plurality of aneighborhood is also related to its functional, perceptions of dwellers, and frequency of uses.
A literature exists that captures the spatial lens of the ideal typical neighborhood throughwhich the city can be disaggregated. In contrast we can experiment with the plural data driven
definitions informal neighborhoods that can be understood as social material systems in theirown right; defined materially through multiple techniques of remote sensed data, imaging, andtelephone records; socially through symbolic and cultural definitions of thresholds investigatedethnographically, boundaries and iconography and in statutory form through bundled and plural
property rights defined through speculative architectural inquiry.
b. Spectrum of activities (SOA)The spectrum of activities for different user groups should be identified to address their
particular needs of walkable cities and neighborhoods. Namely, based on age - young adults
versus seniors; based on length of stay - visitors versus residents; based on mode of travel pedestrian, runner, and cycler. We can target the specific areas that involving high user intensity
and group characteristics that require special attention. For example, previous studies haveadopted different walk scores for tourists and residents. Figure 4 shows a map of locals versus
tourists created by Eric Fischer using Twitter data and MapBox. It reveals that promoting
walkability targeting tourists and locals need different accommodations. We emphasize the typeof neighborhood and type of street (Measuring the completeness of complete streets).
<Figure 4. Locals and visitors’ neighborhood – spatial distribution map using Twitter data.>
c. Public space/amenities catchment area delineation
Designing walkable city also involves improved understanding of public service catchment
areas. The concept of a catchment area (or service area) is defined as the area from which a city,
7

service or institution attracts a population that uses its services. Powered by urban big data andthe growing shared economy, we are able to reevaluate the catchment areas using real time GPSdata, see Figure 5. Connect this back to the Garden city concept, for example, how to create
urban park networks to give a reason for people to walk.
<Figure 5. Delineation of urban park catchment area.>
3.2. Walkable city and neighborhood as a multi-disciplinary approach
Systemic measures of walkable city require a multi-disciplinary approach. Jeff Speck (2018) in
his Walkable City Rules identified the following disciplinary approaches of designing walkablecities: Health, transportation, ecology, in addition to economic (such as walkability and homevalue) and social equity. We follow these categorizations by further exploring the health value,transportation, and ecological value of walkable cities and neighborhoods.
a. Health value of walkable cities
As obesity has now become a major public health problem in the United States, several studies
have made connections between health and the design and planning of cities (Frank and Engelke,
2001; Ewing et al, 2003). Of many things that affect obesity and associated health impacts, threemajor factors believed to contribute to obesity are metabolic factors, diet, and physical activity(Weinsier et al., 1998). Recently, there has been increasing attention on the role of physicalactivity and how sedentary lifestyle in many Westernized nations has contributed to the obesity
epidemic (Chin et al., 2016). Thus, promotion of physical activity at the population level has
been one of the most important public health goals. World Health Organization (WHO) currently
has a recommended guideline for physical activity to maintain active and healthy life style,which is to spend at least 150 minutes of moderate and vigorous physical activity (MVPA) per
week (WHO, 2011). Common activities that require some level of physical exertion areclassified as MVPA, such as brisk walking, jogging, cycling, and playing sports. However,achieving this minimum level of physical activity on a daily basis is probably the mostchallenging target for many people in many Westernized nations. Modern life style andworkforce puts very little demand for physical activity, and to achieve the minimum
recommended levels of physical activity, we consciously need to make time to include exercise
as part of our daily routine. One way to achieve this level of fitness at the population-level is todesign our cities in such a way that would make walking and cycling a natural choice. For thisreason, the concept of walkability and walkable cities has gained considerable attention in the
public health communities (Dannenberg et al, 2003; Jackson et al, 2013), and walkability has
been incorporated into the health assessment framework (de Nazelle et al, 2011).
b. Transportation and walkable cities

8

In Low Carbon Transportation, Jia (2017) discussed induced traffic, number of street lanes,
walkable block size, bike lanes (bicycle population is the function of bicycle infrastructure),
parking as buffer of bike lanes, trees slow cars down. The concept of walkable city is not new as
walking is a fundamental aspect of human locomotion and transportation. Being able to walkfreely and safely, however, has been challenging in many cities around the world as large part ofour urban spaces has been dedicated to automobiles. There has been an increasing awareness that
auto mobility is a serious problem that contributed to the current obesity epidemic. Time spent incars has been identified as a risk factor for obesity (Frank et al, 2004), and recent studies havereported significant health gain can be achieved by replacing car trips with more active forms oftransport, such as walking, cycling (Rojas-Rueda et al, 2012), and public transportation (Rissel etal, 2012; Hong et al, 2016). Therefore, an active form of transport constitutes an importantelement of designing a walkable city. Yet, there is a problem of incorporating active
transportation in many cities. Better designing of urban and transport systems can lead to morecycling, walking, and transit use; however, it can inevitably increase exposure to harmful
emissions by placing people closer to traffic (Hankey and Marshall, 2019). It is, therefore, of
critical importance for the urban design and planning communities to consider both physicalactivity aspects and air pollution exposure aspects of a walkable city design (Frank et al, 2019).
An integrated framework, such as the one suggested by Frank et al (2019), will likely help us
design cities that would maximize the benefits of active transportation while minimizing therisks associated with it.

c. Ecological value of walkable cities
Environmental benefits of active transportation have been widely discussed. Hong (2018) argued
that first active modes of transport requires less space; second it produces fewer emissions per
capita or per passenger travel distance; third it produces lower life cycle costs. Forman (2014) inhis book Urban Ecology – Science of Cities provided plausible solutions to increase walkability
and preserve ecological values in an urban environment. These solutions can be summarized into
urban ecological principles that promoting the design and planning of walkable cities. If aligning
the design walkable cities with political interest such as the Paris Agreement towards reducing
the risks of climate change, we can qualify the achievement of long-term goals of keeping people
on their feet and low carbon modes of travel.
3.3. Urban big data and computation in designing walkable city
The application of urban big data in designing walkable city has created new opportunities tounderstand city and components of city in an innovative perspective. In addition to the abovementioned delineating catchment area using mobile phone data, there are many prospects ofusing individual personal level data to design walkable cities and neighborhoods. First, GPSenabled sensor data. For example, mobile phone carriers’ user location data; sensors data9acquired from equipment installed in bicycles, buses, and other type of public transit; modes
specific data such as runners and hikers, see Figure 6. Second, social media, crowd sourcing,and smart phone application data. For example, Twitter, Facebook, and Weibo are good
examples of social media data. WhatsApp and WeChat (mainly in China) are good examples of
instant messaging apps installed in smart phones. Third, economic activity data. For example,
consumer transaction data using credit cards. There are also the more conventional real estate
property data and those data involved with cutting edge technologies such as artificial
intelligence and neural networks.
<Figure 6. Runner’s neighborhood – activity heat map produced using Strava data.>
As Batty (2013) stated, the idea of designing walkable, smart, and sustainable city relies on
the potential of integration of the data from different sources and turning them into useful
information. Truly, the raw data collected may not be of use at all, however, through theprocesses of cleaning, filtering, selection, combination, and transformation, we can generateknowledge, recognizing, and intelligence towards designing better and more effective walkablecity strategies (Batty, 2013). For example, we can apply individual user level data with urban
built environment data to discover the latent function of urban public facilities. We can provide
policy interventions in the realm planning and design to promote walkability. The task doesn’tstop here, however, the post processing stage starts by accumulating new knowledge generated.
The continuous building of databases can be critical to monitor and produce newer knowledge
constantly. The issues remains are privacy, inaccuracy (user and activity), and inconsistency(space and time).

4. Conclusion
In sum, the urban planning and design propositions promoting walkable city can be traced backto at least the garden cities of tomorrow. Learning from the past and observing the present, weshould discuss the spatial elements, understand spatial scales, and comprehend design
dimensions that can reshape walkable cities and neighborhoods. More importantly, we canidentify key emerging themes from research and practice of designing walkable cities. We
recognize that these themes are not only from urban designer’s perspective but also involving
knowledge of other related disciplines.
Looking ahead to the future, we should revisit and emphasize the following aspects of
walkable cities and neighborhoods: (1) Cities should be walkable. In a chronological order, wecategorized the discourse of walkable cities into garden cities, neighborhood units, modern
functionalism and economy of scale, and post modernism attempts. How can lessons andinformation from these past stages of urban development inform the current practice defined asdigital design paradigm and urban big data computation deserved more attentions. (2) Walkable10

city has multiple spatial and temporal scales and are multi-disciplinary in nature. We need toreconsideration the spatial dimensions of a neighborhood, the spectrum of activities associatedwith different users, and the function of urban facilities in relation to their catchment areas. The
emerging themes of such investigation can be applied to public health, transportation and landuse, and urban ecology. (3) Urban big data and computational methods can reveal walkable cityof the future. The scarcity of urban big data in the study is partially due to the scarcity ofavailable data and computational power. However, the emergent of crowd sourcing data, open
source data, and GPS enables devices and sensors have significantly changed the situation in thelast decades. The new challenge is on data fusion algorithms to synthesize heterogeneous data
sources from multiple disciplines. For example, Important empirical methods and the emergentof urban big data can provide us more detailed information of a diversified inhabitants and thebuilt environment. We can adopt new methods and data to enlighten the design of walkable cities
and neighborhoods. These perspectives can inform future studies of designing walkable cities
and neighborhoods.

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Figure 1. Welwyn Garden City: the self-sufficient and walkable city.

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Figure 2. The design of the Radburn neighborhood units

Figure 3. Radiant City.

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Figure 4. Locals and visitors’ neighborhood – spatial distribution map using Twitter data.
Source: Eric Fischer using Twitter data with MapBox.

Figure 5. Delineation of urban park catchment area. Source: Authors.
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Figure 6. Runner’s neighborhood – activity heat map produced using Strava data. Source: Strava.

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