scholarly journals Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1608
Author(s):  
Rubén Cordera ◽  
Soledad Nogués ◽  
Esther González-González ◽  
José Luis Moura

Autonomous vehicles (AVs) can generate major changes in urban systems due to their ability to use road infrastructures more efficiently and shorten trip times. However, there is great uncertainty about these effects and about whether the use of these vehicles will continue to be private, in continuity with the current paradigm, or whether they will become shared (carsharing/ridesharing). In order to try to shed light on these matters, the use of a scenario-based methodology and the evaluation of the scenarios using a land use–transport interaction model (LUTI model TRANSPACE) is proposed. This model allows simulating the impacts that changes in the transport system can generate on the location of households and companies oriented to local demand and accessibility conditions. The obtained results allow us to state that, if AVs would generate a significant increase in the capacity of urban and interurban road infrastructures, the impacts on mobility and on the location of activities could be positive, with a decrease in the distances traveled, trip times, and no evidence of significant urban sprawl processes. However, if these increases in capacity are accompanied by a large augment in the demand for shared journeys by new users (young, elderly) or empty journeys, the positive effects could disappear. Thus, this scenario would imply an increase in trip times, reduced accessibilities, and longer average distances traveled, all of which could cause the unwanted effect of expelling activities from the consolidated urban center.

Author(s):  
Alex Anas

Urban sprawl in popular sources is vaguely defined and largely misunderstood, having acquired a pejorative meaning. Economists should ask whether particular patterns of urban land use are an outcome of an efficient allocation of resources. Theoretical economic modeling has been used to show that more not less, sprawl often improves economic efficiency. More sprawl can cause a reduction in traffic congestion. Job suburbanization can generally increase sprawl but improves economic efficiency. Limiting sprawl in some cities by direct control of the land use can increase sprawl in other cities, and aggregate sprawl in all cities combined can increase. That urban population growth causes more urban sprawl is verified by empirically implemented general equilibrium models, but—contrary to common belief—the increase in travel times that accompanies such sprawl are very modest. Urban growth boundaries to limit urban sprawl cause large deadweight losses by raising land prices and should be seen to be socially intolerable but often are not. It is good policy to use corrective taxation for negative externalities such as traffic congestion and to implement property tax reforms to reduce or eliminate distortive taxation. Under various circumstances such fiscal measures improve welfare by increasing urban sprawl. The flight of the rich from American central cities, large lot zoning in the suburbs, and the financing of schools by property tax revenues are seen as causes of sprawl. There is also evidence that more heterogeneity among consumers and more unequal income distributions cause more urban sprawl. The connections between agglomeration economies and urban sprawl are less clear. The emerging technology of autonomous vehicles can have major implications for the future of urban spatial structure and is likely to add to sprawl.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Norman Eppenberger ◽  
Maximilian Alexander Richter

Abstract Background This paper provides insight into the opportunity offered by shared autonomous vehicles (SAVs) to improve urban populations’ spatial equity in accessibility. It provides a concrete implementation model for SAVs set to improve equity in accessibility and highlights the need of regulation in order for SAVs to help overcome identified spatial mismatches. Methodology Through the formulation of linear regression models, the relationship between land-use and transportation accessibility (by car and public transport) and socio-economic well-being indicators is tested on district-level in four European cities: Paris, Berlin, London and Vienna. Accessibility data is used to analyse access to points of interest within given timespans by both car and public transport. To measure equity in socio-economic well-being, three district-level proxies are introduced: yearly income, unemployment rate and educational attainment. Results In the cities of Paris, London and Vienna, as well as partially in Berlin, positive effects of educational attainment on accessibility are evidenced. Further, positive effects on accessibility by yearly income are found in Paris and London. Additionally, negative effects of an increased unemployment rate on accessibility are observed in Paris and Vienna. Through the comparison between accessibility by car and public transportation in the districts of the four cities, the potential for SAVs is evidenced. Lastly, on the basis of the findings a ‘SAV identification matrix’ is created, visualizing the underserved districts in each of the four cities and the need of equity enhancing policy for the introduction of SAVs is emphasized.


2015 ◽  
Vol 26 (1) ◽  
pp. 163-181 ◽  
Author(s):  
Ian G. Robertson

AbstractIn the 1960s, the Teotihuacan Mapping Project (TMP) focused an ambitious, multiyear survey program on the pre-Columbian urban center of Teotihuacan. In addition to creating a highly detailed map, the TMP made systematic records of surface remains and collected nearly one million artifacts from roughly 5,000 provenience tracts. Taken together, the spatial, descriptive, and artifactual data collected by the TMP still constitutes one of the most extensive and most detailed records in existence for any ancient city. This paper characterizes and provides an update on TMP surface observations, particularly as they exist in digital format. Several analytical case studies illustrate substantive ways in which these data have been used in the decades since the TMP survey to investigate the culture and history of ancient Teotihuacan. The utility of extensive surface survey data for investigating key urban organizational elements such as neighborhoods and social districts is briefly considered, along with the growing importance of the TMP collections and records as increasingly large parts of Teotihuacan are lost to urban sprawl and destructive agricultural practices.


Author(s):  
Francis J. M. Farley

The redshifts and luminosities of type 1A supernovae are conventionally fitted with the current paradigm, which holds that the galaxies are locally stationary in an expanding metric. The fit fails unless the expansion is accelerating; driven perhaps by ‘dark energy’. Is the recession of the galaxies slowed down by gravity or speeded up by some repulsive force? To shed light on this question the redshifts and apparent magnitudes of type 1A supernovae are re-analysed in a cartesian frame of reference omitting gravitational effects. The redshift is ascribed to the relativistic Doppler effect which gives the recession velocity when the light was emitted; if this has not changed, the distance reached and the luminosity follow immediately. This simple concept fits the observations surprisingly well with the Hubble constant H 0 =62.9±0.3 km s −1  Mpc −1 . It appears that the galaxies recede at unchanging velocities, so on the largest scale there is no significant intergalactic force. Reasons for the apparent absence of an intergalactic force are discussed.


EDIS ◽  
2009 ◽  
Vol 2009 (1) ◽  
Author(s):  
Lauren McDonell ◽  
Martha C. Monroe ◽  
Gene Boles ◽  
Terri Mashour

Revised! FOR199, a 5-page illustrated fact sheet by Lauren McDonell, Martha C. Monroe, Gene Boles, and Terri Mashour, outlines the ecological, social, and economic effects of urban sprawl and describes the guiding principles of smart growth and how it can help address these issues. Includes references. Published by the UF School of Forest Resources and Conservation, July 2008. FOR199/FR260: Land Use in the Wildland-Urban Interface: Urban Sprawl and Smart Growth (ufl.edu)


Author(s):  
Annette N Markham

This paper explores echolocation as a conceptual framework to extend our understanding of digital sociality. Echolocation is a process whereby the characteristics of an echo build a map of location and relation. Most often we think of how bats, whales, and dolphins echolocate to navigate. If we think of radar, sonar, or lidar, we might think of submarines, autonomous vehicles, or even geolocation on our mobile devices. In this paper, I discuss echolocation as a symbolic interaction framework for describing how the Self is negotiated and identified in and as a part of social space. It focuses attention on the character and function of pings, push notifications, red dots on device screens, and other responses in ongoing interactions between people in social media or between humans and nonhuman or more than human elements of media ecologies. The interpretive qualitative analysis is part of a six year ethnographic study of youth. The analysis of echolocation emerges from a subset of the larger study, those who feel anxiety and even existential vulnerability when disconnected. Based on this qualitative analysis of narratives, the paper builds and extends echolocation as a theory of digital sociality that pays close attention to the response versus the performance in the interaction model.


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