Evaluating pedestrian perceptions of street design with a 3D stated preference survey
Bibliographic Data
| ID | 21247822 |
|---|---|
| Authors | Dena Kasraian (0000-0001-5253-0669, Eindhoven University of Technology), Sneha Adhikari (0000-0002-3564-1786, University of Toronto), David Kossowsky (Esri (Canada)), Michael Luubert (Esri (Canada)), G B Hall (0000-0002-8068-9973, Esri (Canada)), Jason Hawkins (0000-0002-9655-4846, University of Toronto), Khandker Nurul Habib (0000-0003-1007-6706, University of Toronto), Matthew J Roorda (0000-0001-6724-0154, University of Toronto, corresponding author) |
| Year | 2021 |
| Volume | 48 |
| Issue | 7 |
| Pages | 1787-1805 |
| Publication date | 2021-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/2399808320946050 |
| OpenAlex | W3040787799 |
| Language | EN |
| Citations received | 9 |
| References cited | 28 |
In many places, streets are still primarily designed for the convenience of motorists, considering mobility function as the principal design goal. There is a scarcity of empirical evidence on the relationship between the design of a street and how it is experienced by pedestrians who use it. This work focuses on quantifying pedestrians’ perception of walkability through a stated preference survey using a dynamic 3D representation of various street designs in Toronto, Canada. The stated preference scenarios are generated through a rule-based 3D environment (Esri’s CityEngine) and animated using a gaming engine (Unity). A random sample of 600 Torontonians is used for the empirical investigation by estimating a mixed multinomial logit model. The results indicate that there is a high preference for (i) streets that include transit lanes as opposed to car-exclusive lanes, (ii) the presence of trees on the sidewalk, and (iii) two-way cycle paths on the curb lane. Furthermore, pedestrians are willing to trade sidewalk width for the presence of trees and outdoor dining. The survey’s innovative presentation mode and its findings can contribute to the development of much-needed evidence-based design tools to assess the trade-offs required between the many possible uses of roadway space, while focusing on the overlooked role of the pedestrian experience
Built environment · Civil engineering · Community design · Discrete choice · Econometrics · Economics · Geography · Logistic regression · Mixed logit · Multinomial logistic regression · Pedestrian · Perception · Preference · Revealed preference · Statistics · Transport engineering · Walkability · Computer Science · Engineering · Mathematics · Psychology · Transportation Planning and Optimization · Urban Green Space and Health · Urban Transport and Accessibility
Individuals' perception of walkability
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Comparing self-navigation and video mode in a choice experiment to measure public space preferences
A citizen perspective on designing driverless streets
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Measuring streetscapes’ threshold intervals on pedestrian perception
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Procedural Modeling in Urban Digital Twins as a Tool for Visualization, Analysis, and Public Engagement
Walking and Bicycling
Unpacking Walkability
Influence of environmental street characteristics on walking route choice of elderly people
A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods
A comparison of three methods for assessing the walkability of the pedestrian environment
Streetscape Features Related to Pedestrian Activity
Effects of street-level physical environment and zoning on walking activity in Seoul, Korea
Street life and the built environment in an auto-oriented US region
Pedestrian and cyclist preferences for tree locations by sidewalks and cycle tracks and associated benefits
Q-PLOS, developing an alternative walking index. A method based on urban design quality
Travel and the Built Environment
| Unique citing works | 9 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |