A novel global urban typology framework for sustainable mobility futures
Bibliographic Data
| ID | 15547360 |
|---|---|
| Authors | Jimi Oke (0000-0001-6610-445X, Massachusetts Institute of Technology, corresponding author), Youssef M Aboutaleb (Massachusetts Institute of Technology), Arun Prakash Akkinepally (Massachusetts Institute of Technology), Carlos Lima Azevedo (0000-0003-3902-6569, Massachusetts Institute of Technology), Yafei Han (0000-0003-1552-3800, Massachusetts Institute of Technology), P Christopher Zegras (0000-0002-5675-0615, Massachusetts Institute of Technology), Joseph Ferreira (0000-0003-0600-3803, Massachusetts Institute of Technology), Moshe Ben‐Akiva (0000-0002-9635-9987, Massachusetts Institute of Technology) |
| Year | 2019 |
| Volume | 14 |
| Issue | 9 |
| Pages | 095006-095006 |
| Publication date | 2019-05-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ab22c7 |
| OpenAlex | W2945272284 |
| Language | EN |
| Citations received | 16 |
| References cited | 3 |
Urban mobility significantly contributes to global carbon dioxide emissions. Given the rapid expansion and growth in urban areas, cities thus require innovative policies to ensure efficient and sustainable mobility. Urban typologies can serve as a vehicle for understanding dynamics of cities, which exhibit high variability in form, economic output, mobility behavior, among others. Yet, typologies relevant for sustainable urban mobility analyses are few, outdated and not large enough in scope. In this paper, we present a new typologization spanning 331 cities in 124 countries. Our sample represents 40% of the global urban population and contains the most recent data from 2008 to date. Using a factor analytic and agglomerative clustering approach, we identify 9 urban factors and 12 typologies. We discuss the implications of this new framework for researchers and planners and investigate the relationships between mobility and environmental sustainability indicators. Notably, we show an immediate application of the urban typologies to better understanding travel behavior and also describe their usage for detailed large-scale simulation in representative prototype cities for insights into sustainable future mobility policy pathways. Our data and results are publicly available for further exploration and will serve as a foundation for future analyses toward desirable urban and environmental outcomes
Economics · Financial economics · Futures contract · Geography · Typology · Transportation Planning and Optimization · Urban Design and Spatial Analysis · Urban Transport and Accessibility
Drinking water accessibility typologies in low- and middle-income countries
Quantifying the CO2 mitigation potential from sustainable urban planning in European cities
Functional and Symbolic Urban Typologies in a Fragmented Non-Metropolitan Region
A data-driven mobility–energy typology framework for New York State
Developing urban biking typologies
Disparities in electric vehicle charging infrastructure distribution
Evaluating the impacts of shared automated mobility on-demand services
Urban Mobility and Socio-Environmental Aspects in David, Panama
Inequality and the future of electric mobility in 36 U.S. Cities
Using the five Ws to explore bikeshare equity in Santiago, Chile
A methodology to develop a geospatial transportation typology
Climate neutral cities in Sweden
Statistical analysis of e-commerce delivery demand modeling framework
Systematizing and upscaling urban climate change mitigation
Typology of U.S. transit systems reveals energy data gap and potential for diesel-based emissions reductions
Typology of US metropolitan areas illuminates per-capita mobile greenhouse gas emissions impacts and informs mitigation strategies
| Citations per year | 2.67 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |