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January 1999 - National and urban motor vehicle ownership increases at about the same rate as income, whereas road length increases with income mainly at the national level. So, urban congestion grows with income. Controlling vehicle fleet growth and use would require high taxes that increase faster than income - or there could be congestion tolls. Ingram and Liu survey past trends in vehicle ownership and road network expansion to analyze determinants of their growth at the national and urban level. Surprisingly, they find that: Nationally, income is a major determinant of both vehicle ownership and road length; Nationally, paved road length and vehicle ownership has been increasing about as fast as income, while total road length is increasing less rapidly than income; In urban areas vehicle ownership increases as fast as income while road length increases very slowly with income. Because national paved road networks are expanding about as fast as national motor vehicle fleets, national congestion is unlikely to be worsening. But because urban road length is growing much more slowly than the number of urban motor vehicles, urban congestion is rising with income over time. Increased urban congestion is stimulating decentralized urban growth. Income elasticities are greater than price elasticities in absolute terms, for both vehicle ownership and use - an important finding because prices are often used as an instrument to control motor vehicle ownership and use. If price elasticities are half as large as income elasticities, prices would have to grow twice as fast as incomes to stabilize vehicle ownership. Breaking the link between income growth, rising congestion, and urban decentralization will be difficult: Restraining auto ownership in urban areas requires high tax rates, and increasing the supply of urban roads is costly. Elasticity estimates vary, but a good point estimate for the income elasticity of fleet growth is 1. This means country motor vehicle fleets grow in proportion to country incomes. More than half the world's annual increase in motor vehicles is likely to occur in high-income countries until 2025 (assuming GNP growth of 3 percent in high-income countries, 5 percent in low- and middle-income countries). The motor vehicle fleet in low- and middle-income countries is not projected to exceed that in high-income countries until after 2050. Carbon dioxide emissions are likely to be distributed similarly. This paper-a joint product of the Research Advisory Staff and the Transport Division, Transport, Water, and Urban Development Department-is part of a research project on motorization and roads. The authors may be contacted at gingram@worldbank.org or zliu@worldbank.org.

Air --- Air Pollution --- Auto Dependence --- Buses --- Cars --- Congestion --- Externalities --- Motor Vehicle --- Motor Vehicle Use --- Motor Vehicles --- Road --- Road Network --- Road Provision --- Roads --- Trans Transit Use --- Transport --- Transport Economics, Policy and Planning --- Trucks --- Urban Transport --- Vehicle Ownership

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Urban street space is challenged with a variety of emerging usages and users, such as various vehicles with different speeds, passenger pick-up and drop-off by mobility services, increasing parking demand for a variety of private and shared vehicles, new powertrains (e.g., charging units), and new vehicles and services fueled by digitalization and vehicle automation. These new usages compete with established functions of streets such as providing space for mobility, social interactions, and cultural and recreational activities. The combination of these functions makes streets focal points of communities that do not only fulfill a functional role but also provide identity to cities. Streets are prominent parts of cities and are essential to sustainable transport plans. The main aim of the Street Networks and Sustainable Transportation collection is to focus on urban street networks and their effects on sustainable transportation. Accordingly, various street elements related to mobility, public transport, parking, design, and movement of people and goods at the street level can be included.

consecutive signalized arterials --- urban street --- hierarchical longitudinal control --- optimal control --- connected and automated vehicles --- walking --- pedestrians --- urban street design --- pedestrian facilities --- link and place functions --- sidewalk --- walkability --- cycling --- cycling facilities --- bike lanes --- sustainable commute mode --- walkability assessment tool --- measurement quality appraisal --- walking environment --- walking needs --- sustainable urban form --- urban networks analysis --- street connectivity --- Arab Gulf urbanization --- tolerable travel time --- university students --- built environment --- early life-course --- Bayesian network --- machine learning --- autonomous vehicles --- vulnerable road users --- public perception --- most effective variables --- pedestrian fatality --- road accident --- Bayesian neural network --- Bayesian theorem --- sustainable road network development --- sustainable vehicle ownership --- nonlinear relationships --- XGBT --- sustainable travel to public transit stations --- complex relationship --- Bayesian network algorithm --- work trip

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• Reference Manager
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Urban street space is challenged with a variety of emerging usages and users, such as various vehicles with different speeds, passenger pick-up and drop-off by mobility services, increasing parking demand for a variety of private and shared vehicles, new powertrains (e.g., charging units), and new vehicles and services fueled by digitalization and vehicle automation. These new usages compete with established functions of streets such as providing space for mobility, social interactions, and cultural and recreational activities. The combination of these functions makes streets focal points of communities that do not only fulfill a functional role but also provide identity to cities. Streets are prominent parts of cities and are essential to sustainable transport plans. The main aim of the Street Networks and Sustainable Transportation collection is to focus on urban street networks and their effects on sustainable transportation. Accordingly, various street elements related to mobility, public transport, parking, design, and movement of people and goods at the street level can be included.

Technology: general issues --- History of engineering & technology --- consecutive signalized arterials --- urban street --- hierarchical longitudinal control --- optimal control --- connected and automated vehicles --- walking --- pedestrians --- urban street design --- pedestrian facilities --- link and place functions --- sidewalk --- walkability --- cycling --- cycling facilities --- bike lanes --- sustainable commute mode --- walkability assessment tool --- measurement quality appraisal --- walking environment --- walking needs --- sustainable urban form --- urban networks analysis --- street connectivity --- Arab Gulf urbanization --- tolerable travel time --- university students --- built environment --- early life-course --- Bayesian network --- machine learning --- autonomous vehicles --- vulnerable road users --- public perception --- most effective variables --- pedestrian fatality --- road accident --- Bayesian neural network --- Bayesian theorem --- sustainable road network development --- sustainable vehicle ownership --- nonlinear relationships --- XGBT --- sustainable travel to public transit stations --- complex relationship --- Bayesian network algorithm --- work trip