scholarly journals Urban form and travel behavior: experience from a Nordic context

2012 ◽  
Vol 5 (2) ◽  
Author(s):  
Petter Naess
Keyword(s):  
Travel Behavior ◽  
Urban Form

scholarly journals Urban form, transit supply, and travel behavior in Latin America: Evidence from Mexico's 100 largest urban areas

2018 ◽  
Vol 69 ◽  
pp. 98-105 ◽  
Author(s):  
Erick Guerra ◽  
Camilo Caudillo ◽  
Paavo Monkkonen ◽  
Jorge Montejano
Keyword(s):  
Latin America ◽  
Travel Behavior ◽  
Urban Form ◽  
Urban Areas

scholarly journals Transition Engineering of Urban Transportation for Resilience to Peak Oil Risks

2011 ◽  
Author(s):  
Susan Krumdieck
Keyword(s):  
Land Use ◽  
Adaptive Capacity ◽  
Travel Behavior ◽  
Urban Form ◽  
Development Program ◽  
Peak Oil ◽  
Engineering Project ◽  
Oil Supply ◽  
Risk Increase ◽  
The Right

Oil resources are finite and production decline is a fact for this century. The question is, why there has been so little policy action? This paper proposes that dealing with the complex changes involved in the transition to oil supply contraction requires new kinds of engineering modeling and analysis. There are no miracle technologies that will mitigate the need for major policy, economic, infrastructure and land use changes. Researchers have the responsibility to develop new methods and tools necessary for policy makers and planners to manage this change in direction. Without the right tools, the policy choice is between denying the problem and hoping for miracles. With the right Transition Engineering tools, the policy choices involve changes in land use, incentives, taxes and investments that efficiently reduce vulnerability and risk, increase adaptive capacity and build resilience. For more than a decade, the research and development program at the Advanced Energy and Material Systems Lab (AEMSLab) has focused on Transition Engineering. The first Transition Engineering project assesses vulnerability and risk to essential activities from oil supply contraction in the near and long term. The risk assessment method employs a probabilistic model of future fuel availability and an impact model of travel behavior adaptation to meet the probable fuel constraint. The second project is to assess travel adaptive capacity of current travel behavior and of the current urban forms using a new kind of travel survey, and to develop adaptation models for different urban development scenarios. Another important analysis is the active mode accessibility of the current urban form. The model uses GIS data and an activity model based on the demographic profile. Future urban form development, technology and infrastructure investments and behavior change are modeled using the strategic analysis method.

Pretest-Posttest Strategy for Researching Neighborhood-Scale Urban Form and Travel Behavior

2000 ◽  
Vol 1722 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Kevin J. Krizek
Keyword(s):  
Land Use Planning ◽  
Travel Behavior ◽  
Urban Form ◽  
Puget Sound ◽  
Research Strategy ◽  
Data Availability ◽  
Cross Sectional ◽  
Early Results ◽  
Neighborhood Scale ◽  
The Impact

Communities are increasingly looking to land use planning strategies based on a less auto-dependent urban form to reduce the need for travel, especially drive-alone travel. In recent years, several studies have attempted to test the impact urban form has on travel behavior to determine if such designs are warranted. The results of these studies are mixed because of several shortcomings. Some shortcomings can be attributed to data availability; others are a product of the techniques used to characterize urban form or travel. Still other shortcomings are embedded in the strategies employed, using cross-sectional travel data and correlating travel outcomes with urban form. The line of research is being extended, aimed at isolating the influence of urban form on travel behavior; a new research strategy is presented using longitudinal travel data in concert with detailed measures of travel behavior and urban form. Data sources from the Puget Sound are described and a research strategy is presented that permits a pretest-posttest analysis of households’ travel behavior before and after they changed residential location. Early results show few changes in household travel behavior after a move, suggesting that attitudes toward travel are firmly entrenched and postmove travel provides little insight into how changes in urban form affect travel. Although a pretest-posttest makes valiant strides in shedding new light on the matter, the complex phenomenon being addressed requires myriad approaches. More comprehensive research techniques and even research approaches based on different different traditions are much needed to better understand how urban form and travel interact.

scholarly journals Planarity and Street Network Representation in Urban Form Analysis

2018 ◽  
Author(s):  
Geoff Boeing
Keyword(s):  
Real World ◽  
Travel Behavior ◽  
Urban Form ◽  
Design Patterns ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Street Network ◽  
Form Analysis ◽  
Street Networks

Models of street networks underlie research in urban travel behavior, accessibility, design patterns, and morphology. These models are commonly defined as planar, meaning they can be represented in two dimensions without any underpasses or overpasses. However, real-world urban street networks exist in three-dimensional space and frequently feature grade separation such as bridges and tunnels: planar simplifications can be useful but they also impact the results of real-world street network analysis. This study measures the nonplanarity of drivable and walkable street networks in the centers of 50 cities worldwide, then examines the variation of nonplanarity across a single city. It develops two new indicators - the Spatial Planarity Ratio and the Edge Length Ratio - to measure planarity and describe infrastructure and urbanization. While some street networks are approximately planar, we empirically quantify how planar models can inconsistently but drastically misrepresent intersection density, street lengths, routing, and connectivity.

Measuring Sprawl

2015 ◽  
Vol 52 (1) ◽  
pp. 66-97 ◽  
Author(s):  
Thomas Laidley
Keyword(s):  
Travel Behavior ◽  
Urban Form ◽  
The United States ◽  
Urban Morphology ◽  
First Century ◽  
Urban Literature ◽  
Face Validity ◽  
Future Research ◽  
Popular Subject ◽  
Housing Outcomes

Sprawl is a popular subject in the urban literature, yet conceptualization and measurement have proven elusive. Projects which focus either on empirical advances in the quantification of urban form or related phenomena like travel behavior are rarely conversant, leading to a fundamental disconnect between operationalizing the concept and modeling its effects. Here, I build on previous work in developing a new index of sprawl and examine changes in urban morphology at the metropolitan level in the United States from 2000 to 2010. I then illustrate face validity by outlining suggestive relationships between the index and associated environmental and housing outcomes, while comparing it with other commonly used measures. I find that sprawl continues into the twenty-first century, and that this proposed measure demonstrates initial face validity with respect to key environmental and housing outcomes. I conclude with a discussion of the results and suggestions for future research.

Studies of Urban Form and Travel

2001 ◽  
Author(s):  
Marlon Boarnet ◽  
Randall C. Crane
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Travel Behavior ◽  
Urban Form ◽  
Past Research ◽  
Mass Transit ◽  
Transportation Costs ◽  
Past Century ◽  
Development Patterns ◽  
The Cost

Does the built environment affect how often and how far people drive or walk or when they will take the bus or the train? If so, how? A lively, expanding literature continues to investigate the potential for causal links between urban design and travel behavior, yet there remain many gaps and considerable disagreement. Our purpose here is mainly to identify what past research has to say on these questions. We also try to explain why these studies reach different conclusions and how and where this work might be usefully improved. The first, and perhaps best-known, group of studies on this topic investigates how travel behavior and travel investment affect land use. There is also a long if more recent practice of viewing these links from the opposite direction; that is, how does land use influence urban travel? We consider this second question in more detail following a brief review of the first. Though not our focus, most questions about land-use/transportation links over the past century concern the influence of transportation infrastructure on development patterns. Analysts ask how highways and mass transit contribute to decentralization trends, how they affect the local balance of jobs and housing, or how they affect the pattern of commercial investment (see, e.g., the reviews in Gómez-Ibáñez, 1985b; Giuliano, 1989, 1991, 1995a, 1995b; Cervero and Landis, 1995). The basic idea is this: People choose their homes and locate their businesses based in part on their proximity to work, other potential destinations, and the markets for their products and labor generally (see, e.g., Von Thunen, 1826; Weber, 1928; Losch, 1954; Alonso, 1964; Muth, 1969; Mills, 1972; Solow, 1973; Fujita, 1989; Anas, Arnott, and Small, 1997). That is, the cost of transporting people and things over space depends on the distances and resources required. Once these costs are fixed, perhaps by the establishment of a central downtown or transshipment point, the price of land at each location is determined by demand. This in turn is determined, again in part, by how much money one has left after accounting for the transportation costs associated with that location.

Travel Behavior as Function of Accessibility, Land Use Mixing, and Land Use Balance: Evidence from San Francisco Bay Area

1997 ◽  
Vol 1607 (1) ◽  
pp. 116-125 ◽  
Author(s):  
Kara Maria Kockelman
Keyword(s):  
Land Use ◽  
San Francisco ◽  
Travel Behavior ◽  
Urban Form ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Vehicle Ownership ◽  
Relative Significance ◽  
Bay Area ◽  
The Impact

The relative significance and influence of a variety of measures of urban form on household vehicle kilometers traveled, automobile ownership, and mode choice were investigated. The travel data came from the 1990 San Francisco Bay Area travel surveys, and the land use data were largely constructed from hectare-level descriptions provided by the Association of Bay Area Governments. After demographic characteristics were controlled for, the measures of accessibility, land use mixing, and land use balance—computed for trip-makers’ home neighborhoods and at trip ends—proved to be highly statistically significant and influential in their impact on all measures of travel behavior. In many cases, balance, mix, and accessibility were found to be more relevant (as measured by elasticities) than several household and traveler characteristics that often form a basis for travel behavior prediction. In contrast, under all but the vehicle ownership models, the impact of density was negligible after accessibility was controlled.

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