Dr. David M. Levinson

Persistent link for this collectionhttps://hdl.handle.net/11299/179806

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Accessibility and the choice of network investments in the London Underground
(University of Minnesota, 2016) Levinson, David M; Giacomin, David J; Badsey-Ellis, Anthony
In 1863, the Metropolitan Railway of what came to be known as the London Underground successfully opened as the world’s first subway. Its high ridership spawned interest in additional links. Entrepreneurs secured funding and then proposed new lines to Parliament for approval, though only a portion were actually approved. While putative rail barons may have conducted some economic analysis, the final decision lay with Parliament, which did not have available modern transportation economic or geographic analysis tools. How good were the decisions that Parliament made in approving Underground Lines? This paper explores the role accessibility played on the decision to approve or reject proposed early London Tube Schemes. It finds that maximizing accessibility to population (highly correlated with revenue and ridership) largely explains Parliamentary approvals and rejections.
Accessibility and the Evaluation of Investments on the Beijing Subway
(University of Minnesota, 2016) Jiang, Haibing; Levinson, David M
This study measures the job and population accessibility via transit for Beijing using the cumulative opportunity metric. It is shown that transit accessibility varies widely across Beijing, but is highly focused on subway stations. Early lines added far more accessibility than more recently planned lines.
Accessibility and the Journey to Work
(Pergamon, 1998) Levinson, David M
This study analyzes the effect of accessibility to jobs and houses at both the home and work ends of trips on commuting duration for respondents to a household travel survey in metropolitan Washington, DC. A model is constructed to estimate the effects of demographics and relative location on the journey to work. Analysis finds that residences in job-rich areas and workplaces in housing-rich areas are associated with shorter commutes. An implication of this study is that, by balancing accessibility, the suburbanization of jobs maintains stability in commuting durations despite rising congestion, increasing trip lengths, and increased work and non-work trip making.
Accessibility Dynamics and Location Premia: Do Land Values Follow Accessibility Changes?
(2016) Iacono, Michael J; Levinson, David M
The structure of transportation networks and the patterns of accessibility they give rise to are an important determinant of land prices, and hence urban spatial structure. While there is ample evi- dence on the cross-sectional relationship between location and land value (usually measured from the value of improved property), there is much less evidence available on the changes in this rela- tionship over time, especially where location is represented using a disaggregate measure of urban accessibility. This paper provides evidence of this dynamic relationship using data on home sales in the Minneapolis-St Paul, MN, USA metropolitan area, coupled with disaggregate measures of urban accessibility for multiple modes, for the period from 2000 to 2005. Our investigation tracks the effects of marginal changes in accessibility over time, as opposed to static, cross- sectional relationships, by using an approach in which the unit of observation is a ‘representative house’ for each transportation analysis zone in the region. This approach allows us to control for changes in structural attributes of houses over time, while also isolating the effect of changes in accessibility levels. Results of this approach are compared with a cross-sectional model using the same variables for a single year to illustrate important differences. Empirical estimates indicate that while most of the models estimated using a cross-sectional specification yield positive and significant effects of accessibility on sale prices, these effects disappear when the models are transformed into first-difference form. We explain these findings in light of the state of maturity of urban transportation networks.
Accessibility Futures
(2013) Anderson, Paul; Levinson, David M; Parthasarathi, Pavithra
This study uses accessibility as a performance measure to evaluate a matrix of future land use and network scenarios for planning purposes. Previous research has established the coevolution of transportation and land use, demonstrated the dependence of accessibility on both, and made the case for the use of accessibility measures as a planning tool. This study builds off of these findings by demonstrating the use of accessibility-based performance measures on the Twin Cities Metropolitan Area. This choice of performance measure also allows for transit and highway networks to be compared side-by-side. A zone to zone travel time matrix was computed using SUE assignment with travel time feedback to trip distribution. A database of schedules was used on the transit networks to assign transit routes. This travel time data was joined with the land use data from each scenario to obtain the employment, population, and labor accessibility from each TAZ within specified time ranges. Tables of person- weighed accessibility were computed for 20 minutes with zone population as the weight for employment accessibility and zone employment as the weight for population and labor accessibility. The person-weighted accessibility results were then used to evaluate the planning scenarios. The results show that centralized population and employment produce the highest accessibility across all networks.
Accessibility Impacts of High Speed Rail
(2012) Levinson, David M
This paper reviews the state of high-speed rail (HSR) planning in the United States c. 2010. The plans generally call for a set of barely inter-connected hub-and-spoke networks. The evidence from US transit systems shows that lines have two major impacts. There are positive accessibility benefits near stations, but there are negative nuisance effects along the lines themselves. High speed lines are unlikely to have local accessibility benefits separate from connecting local transit lines because there is little advantage for most people or businesses to locate near a line used infrequently (unlike public transit). However they may have more widespread metropolitan level effects. They will retain, and perhaps worse, have much higher, nuisance effects. If high-speed rail lines can create larger effective regions, that might affect the distribution of who wins and loses from such infrastructure. The magnitude of agglomeration economies is uncertain (and certainly location-specific), but presents the best case that can be made in favor of HSR in the US.
Activity, Travel, and the Allocation of Time
(American Planning Association, 1995) Levinson, David M
This paper analyzes 1968 and 1987-88 metropolitan Washington, DC household travel surveys to understand the daily allocation of time among different activities of individuals classified by work status and gender. The increase in female labor force participation rates has produced an increase in overall time spent at work per person. The increase in work trips and the simultaneous increase in nonwork trips has resulted in less time spent at home. People are substituting money for time spent at home, buying household services outside the home. The group of individuals who work at home is analyzed separately to obtain an understanding of this growing segment.
An Agent-Based Approach to Travel Demand Modeling: An Exploratory Analysis
(Transportation Research Board, 2004) Zhang, Lei; Levinson, David M
The paper develops an agent-based travel demand model. In this model, travel demands emerge from the interactions of three types of agents in the transportation system: node, arc and traveler. Simple local rules of agent behaviors are shown to be capable of efficiently solving complicated transportation problems such as trip distribution and traffic assignment. A unique feature of the agent-based model is that it explicitly models the goal, knowledge, searching behavior, and learning ability of related agents. The proposed model distributes trips from origins to destinations in a disaggregate manner and does not require path enumeration or any standard shortest-path algorithm to assign traffic to the links. A sample 10-by-10 grid network is used to facilitate the presentation. The model is also applied to the Chicago sketch transportation network with nearly 1000 trip generators and sinks, followed by a discussion of possible calibration procedures. The agent-based modeling techniques provide a flexible travel forecasting framework that facilitates the prediction of important macroscopic travel patterns from microscopic agent behaviors, and hence encourages the studies on individual travel behaviors. Future research directions are identified, as are the relationship between the agent-based and activity-based approaches for travel forecasting.
Agent-Based Model of Price Competition and Product Differentiation on Congested Networks.
(University of Bath, 2008) Zhang, Lei; Levinson, David M; Zhu, Shanjiang
Using consistent agent-based techniques, this research models the decision-making processes of users and infrastructure owner/operators to explore the welfare consequence of price competition, capacity choice, and product differentiation on congested transportation networks. Component models include: (1) An agent-based travel demand model wherein each traveler has learning capabilities and unique characteristics (e.g. value of time); (2) Econometric facility provision cost models; and (3) Representations of road authorities making pricing and capacity decisions. Different from small-network equilibrium models in prior literature, this agent-based model is applicable to pricing and investment analyses on large complex networks. The subsequent economic analysis focuses on the source, evolution, measurement, and impact of product differentiation with heterogeneous users on a mixed ownership network (with tolled and untolled roads). Two types of product differentiation in the presence of toll roads, path differentiation and space differentiation, are defined and measured for a base case and several variants with different types of price and capacity competition and with various degrees of user heterogeneity. The findings favor a fixed-rate road pricing policy compared to complete pricing freedom on toll roads. It is also shown that the relationship between net social benefit and user heterogeneity is not monotonic on a complex network with toll roads.
An Agent-Based Model of Worker and Job Matching
(University of Minnesota, 2013) Tilahun, Nebiyou J; Levinson, David M
This paper proposes and tests an agent-based model of worker and job matching. The model takes residential locations of workers and the locations of employers as exogenous and deals specifically with the interactions between firms and workers in creating a job-worker match and the commute outcomes. It is meant to illustrate that by explicitly modeling the search process and the interactions between firms and individuals, origins and destinations (ODs) can be linked at a disaggregate level that is reasonably true to the actual process. The model is tested on a toy-city and the using Twin Cities are. The toy-city model illustrated that the model leads to reasonable outcomes, with agents selecting the closest work place when wage and skill differentiation is absent. Relaxing these assumptions increases the observed commute. Especially the introduction of wage dispersion in the model increases the the average home to work distance significantly. Using data from Minnesota, the results on aggregate are shown to capture the trends in the observed data, and illustrate that the behavior rules as implemented lead to reasonable patterns. The results and potential future directions are also discussed.
Agglomeration, Accessibility, and Productivity: Evidence for Large Urbanized Areas in the US.
(2016) Melo, Patricia; Graham, Daniel; Levinson, David M; Aarabi, Sarah
This paper undertakes an empirical analysis with the aim of improving the current understanding of the relationship between labor productivity and urban agglomeration economies across a sample of urbanized areas in the US. Agglomeration economies are represented with driving time measures of employment accessibility to establish a direct account for the link between transport and agglomeration economies. The paper investigates the presence of nonlinearities in the relationship between labor productivity and agglomeration economies, and examines the spatial decay pattern of the effects arising from this relationship. The findings indicate that there is considerable nonlinearity in the relation between productivity and transport induced agglomeration effects, implying that the estimation of country-level aggregate elasticities is likely to misrepresent the actual magnitude of any productivity gains from urban agglomeration. The results also suggest that the magnitude of the productivity-agglomeration effects decays very rapidly with time and is very strong within 20 minutes driving time. This suggests that knowledge spillover externalities are likely to be a very important Marshallian source of agglomeration economies.
Area Based Models of New Highway Route Growth
(American Society of Civil Engineers, 2007) Levinson, David M; Chen, Wei
Empirical data and statistical models are used to answer the question of where new highway routes are most likely to be located. High-quality land-use, population distribution and highway network GIS data for the Twin CitiesMetropolitan Area from 1958 to 1990 are developed for this study. The highway system is classified into three levels, Interstate highways, divided highways, and secondary highways. Binary logit models estimate the new route growth probability of divided highways and secondary highways. Interstates, however,are not modeled here and are used as a predictor in modeling the growth of divided highways and secondary highways. The results show that the area's land-use attributes and population density level do have significant relationship with the area's likelihood of adding new highway routes.
Automobile Accessibility and the Allocation of Time: 1990-2010
(2015) Brosnan, Martin; Levinson, David M
Using detailed travel surveys conducted by the Metropolitan Council of the Minneapolis/St Paul (Twin Cities) Region in Minnesota for 1990, 2000-2001, and 2010-2011, this paper conducts a detailed analysis of journey-to-work times, activity allocation and accessibility. This study corroborates previous studies showing that accessibility is a significant factor in commute durations. Adjusting land use patterns to increase the number of workers in job-rich areas and the number of jobs in labor-rich areas is a reliable way of reducing auto commute durations. The finding that accessibility and commute duration have a large affect on the amount of time spent at work shows that activity patterns are influenced by transportation and the urban environment in very impactful ways. The descriptive results of this analysis show a measurable decline in the time people spend outside of their homes as well as the amount of time people spend in travel over the past decade. Although trip distances per trip are not getting any shorter, the willingness to make those trip is declining, and as a result fewer kilometers are being traveled and less time on average is being allocated to travel.
Axis of Travel: Modeling non-work destination choice with GPS Data
(2015) Huang, Arthur; Levinson, David M
Based on in-vehicle GPS travel data in the Minneapolis - St. Paul Metropolitan Area, this research investigates how land use, road network structure, and route familiarity influence home-based single-destination choice. We propose a new choice set formation approach which combines survival analysis and random selection. Our empirical findings reveal that: (1) Walkable opportunities and diversity of services at the destination influence destination choice. (2) Route-specific network measures such as turn index and speed discontinuity display statistically significant effects on destination choice. (3) The familiarity factors reflected by distance to home, work, and downtown also plays a role. A destination closer to home and work, all else equal, is more likely to be selected. A destination farther away from downtown is more attractive for auto users. This research contributes to methodologies in modeling destination choice using GPS data. The results enhance our understanding of non-work travel behavior and have implications for transportation and land use planning.
Balancing Efficiency and Equity of Ramp Meters
(American Society of Civil Engineers, 2005) Zhang, Lei; Levinson, David M
A new freeway ramp control objective - minimizing total weighted travel time is presented in this study. This new objective function is capable of balancing efficiency and equity of ramp meters, while the previous metering objective - minimizing total absolute travel time is purely efficiency-oriented and hence produces a most efficient but least equitable solution. When certain assumptions hold, this metering objective is shown to be equal to minimizing non-linearly weighted ramp delay. A simulation method to achieve the new metering objective is developed and demonstrated using the example of BEEX, a new ramp control strategy also developed in this study, in a microscopic traffic simulator.
Buying into the Bypass: Allowing Trucks to pay to use the Ramp Meter Bypasses
(Eno Foundation, 2003) Muthuswamy, Satya; Levinson, David M
People make their route choices based on the delays they experience but not on the delays they impose on others. Moreover different travelers have different values of time. Road Pricing can be seen as the means to optimize the use of a roadway by charging each traveler the cost he imposes on others. This paper analyzes the opening of an HOV ramp meter bypass to trucks that pay a toll. Trucks are similar to HOV as both have a higher value of time than a single occupant car. Thus, by saving time for these vehicles the system stands to gain. The toll to be set was estimated under three scenarios user benefit maximization, profit maximization and system benefit maximization. A queue was simulated, and based on the decision criteria the optimal toll was determined. It is found that to maximize the system welfare, the high Value of Time vehicles like trucks should be allowed to use the bypass for free, but that raises some equity and operational issues. However a toll that allows trucks to use the bypass improves the welfare over simply prohibiting the trucks from the bypass.
Catalysts And Magnets: Built Environment Effects On Bicycle Commuting
(2015) Schoner, Jessica E; Cao, Jason X; Levinson, David M
What effects do bicycle infrastructure and the built environment have on people’s decisions to commute by bicycle? While many studies have considered this question, commonly employed methodologies fail to address the unique statistical challenge of modeling such a low mode share. Additionally, self selection effects that are not adequately accounted for may lead to overestimation of built environment impacts. This study addresses these two key issues by using a zero-inflated negative binomial model to jointly estimate participation in and frequency of commuting by bicycle, controlling for demographics, residential preferences, and travel attitudes. The findings suggest a strong self-selection effect and modest contributions of bicycle accessibility: that bicycle lanes act as “magnets" to attract bicyclists to a neighborhood, rather than being the “catalyst" that encourages non-bikers to shift modes. The results have implications for planners and policymakers attempting to increase bicycling mode share via the strategic infrastructure development.
Chained Trips in Montgomery County, Maryland
(Institute of Transportation Engineers, 1995-05) Kumar, Ajay; Levinson, David M
This paper analyzes the 1987-88 Metropolitan Washington Council of Governments home interview survey to understand how work trips are combined into trip chains and to relate trip chaining with demographic and travel characteristics. The focus is on the work trips during the morning and afternoon peak period and the stops made on the way for performing nonwork activities. The work trips during the afternoon period are much more likely to involve trip chaining as compared to the morning period. Women are more likely to link work trips with other activities as compared to men. Stops are closer to home than work.
Circuity in Urban Transit Networks
(2015) Huang, Jie; Levinson, David M
This paper investigates the circuity of transit networks and examines auto mode share as a function of circuity and accessibility to better understand the performance of urban transit systems. We first survey transit circuity in the Minneapolis–St. Paul, Minnesota, region in detail, comparing auto and transit trips. This paper finds that circuity can help to explain mode choices of commuters. We then investigate thirty-five additional metropolitan areas in the United States. The results from these areas show that transit circuity exponentially declines as travel time increases. Moreover, we find that the circuity of transit networks is higher than that of road networks, illustrating how transit systems choose to expand their spatial coverage at the expense of directness and efficiency in public transportation networks. This paper performs a regression analysis that suggests the circuity of transportation networks can estimate transit accessibility, which helps to explain mode share.
Climbing Mount Next - The Effects of Autonomous Vehicles on Society
(University of Minnesota, 2015) Levinson, David M
The United States spent almost the entire twentieth century climbing Mount Auto. From the 1920s onward, the automobile was the dominant mode of travel for Americans, accumulating more miles per capita than other modes. While the Great Depression slowed the auto’s growth, it did not result in decline. There was a brief downturn during World War II, and a few hiccups in the steady rise of mileage. But the later 2000s and 2010s have seen a sharp downturn in motor vehicle use per capita. This drop is greater than the drop during World War II in absolute terms (though the War saw a drop of twenty-three percent off the pre-war peak, and the 2012 drop is seven percent below 2005). It is complemented by an apparent plateauing in total miles of paved roads since 2008. Within the transportation sector there have been small shifts over the past fifteen years, which cannot explain much of the decline of travel. There are active transportation modes, like walking and biking, which work well for short trips, and certainly have niches they can grow into if land development intensifies and people reorganize their lives to enable them. For instance, I am one of the seven percent of Minneapolitans who walk to work. The numbers are much lower outside core cities, and nationally, at three percent. Transit ridership per capita is up ever so slightly. There are a slew of new mobility options which use information technologies to allow travel without owning an automobile, but are not yet visible in the transportation statistics. These include peer-to-peer taxi and ridesharing services and dynamic real-time rental cars. While these are useful in their niches, they likely are not cost-effective enough to be the main transportation mode for the vast majority of the population with the given technology. Today these new mobility options are supplements when the main mode does not solve the job to be done. In the future, that might change. Technologies allow people to do more of the same, and they allow people to do new things. It is easier to predict more of the same than new things.

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