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JournalISSN: 0361-1981

Transportation Research Record 

SAGE Publishing
About: Transportation Research Record is an academic journal published by SAGE Publishing. The journal publishes majorly in the area(s): Poison control & Computer science. It has an ISSN identifier of 0361-1981. Over the lifetime, 32146 publications have been published receiving 563871 citations. The journal is also known as: TRR.


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Journal Article
TL;DR: The problem of translating the theory of economic choice behavior into concrete models suitable for analyzing housing location and methods for controlling the size of data collection and estimation tasks by sampling alternatives from the full set of alternatives are discussed.
Abstract: The problem of translating the theory of economic choice behavior into concrete models suitable for analyzing housing location is discussed. The analysis is based on the premise that the classical, economically rational consumer will choose a residential location by weighing the attributes of each available alternative and by selecting the alternative that maximizes utility. The assumption of independence in the commonly used multinomial logit model of choice is relaxed to permit a structure of perceived similarities among alternatives. In this analysis, choice is described by a multinomial logit model for aggregates of similar alternatives. Also discussed are methods for controlling the size of data collection and estimation tasks by sampling alternatives from the full set of alternatives. /Author/

3,138 citations

Journal ArticleDOI
TL;DR: Elasticities of travel demand with respect to density, diversity, design, and regional accessibility are derived from selected studies and may be useful in travel forecasting and sketch planning and have already been incorporated into one sketch planning tool, the Environmental Protection Agency’s Smart Growth Index model.
Abstract: The potential to moderate travel demand through changes in the built environment is the subject of more than 50 recent empirical studies. The majority of recent studies are summarized. Elasticities of travel demand with respect to density, diversity, design, and regional accessibility are then derived from selected studies. These elasticity values may be useful in travel forecasting and sketch planning and have already been incorporated into one sketch planning tool, the Environmental Protection Agency's Smart Growth Index model. In weighing the evidence, what can be said, with a degree of certainty, about the effects of built environments on key transportation "outcome" variables: trip frequency, trip length, mode choice, and composite measures of travel demand, vehicle miles traveled (VMT) and vehicle hours traveled (VHT)? Trip frequencies have attracted considerable academic interest of late. They appear to be primarily a function of socioeconomic characteristics of travelers and secondarily a function...

1,706 citations

Journal Article
TL;DR: In this paper, an empirical analysis to test the impacts of land-use mix, population density, and employment density on the use of the single-occupant vehicle (SOV), transit, and walking for both work trips and shopping trips is presented.
Abstract: Findings from an empirical analysis to test the impacts of land-use mix, population density, and employment density on the use of the singleoccupant vehicle (SOV), transit, and walking for both work trips and shopping trips are presented. The hypothetical relationships tested focused on whether there is a relationship between urban form and modal choice, whether this relationship exists when controlling for non-urban form factors, whether this relationship is linear or nonlinear, and whether a stronger relationship exists between modal choice and urban form when they are measured at both trip ends as opposed to either the origin or the destination. A review of the literature and experiences suggested that a fair amount of information is known about the impacts of density on mode choice. However, considerable debate exists over whether density itself is actually the causal stimulus or a surrogate for other factors. To address this issue a data base was developed with a comprehensive set of variables for which density may be a proxy, for example, demographics and level of service. This analysis employed a correlational research design in which mode choice was compared among census tracts with differing levels of density and mix. Findings from this research indicate that density and mix are both related to mode choice, even when controlling for non-urban form factors for both work trips and shopping trips. Furthermore, the relationship between population and employment density and mode choice for SOV, transit, and walking is nonlinear for both work and shopping trips. Transit usage and walking increase as density and land-use mix increase, whereas SOV usage declines. The findings from this research suggest that measuring urban form at both trip ends provides a greater ability to predict travel choices than looking at trip ends separately. The findings also suggest that increasing the level of land-use mix at the trip origins and destinations is also related to a reduction in SOV travel and an increase in transit and walking. This research is important because of recent policy initiatives at the federal, state, and local levels that state that it is no longer feasible to maintain access to opportunities in urban areas by increasing the mobility of SOVs. Among the commonly cited reasons are economics, new environmental legislation (e.g., the Clean Air Act Amendments of 1990), public opposition, changing demographics, and political pressure to reduce fuel consumption. Several urbanform strategies have been recommended to reduce dependence on driving alone. These strategies include increasing residential and employment densities and intermixing a variety of land uses (residential, employment, and commercial). Although these strategies would seem to enhance the viabilities of alternatives to SOVs, relatively little work has been conducted to test these relationships empirically.

1,019 citations

Journal ArticleDOI
TL;DR: A general model (minimizing overall braking induced by lane change, MOBIL) is proposed to derive lane-changing rules for discretionary and mandatory lane changes for a wide class of car-following models and allows one to vary the motivation for lane changing from purely egoistic to more cooperative driving behavior.
Abstract: A general model (minimizing overall braking induced by lane change, MOBIL) is proposed to derive lane-changing rules for discretionary and mandatory lane changes for a wide class of car-following models. Both the utility of a given lane and the risk associated with lane changes are determined in terms of longitudinal accelerations calculated with microscopic traffic models. This determination allows for the formulation of compact and general safety and incentive criteria for both symmetric and asymmetric passing rules. Moreover, anticipative elements and the crucial influence of velocity differences of these car-following models are automatically transferred to the lane-changing rules. Although the safety criterion prevents critical lane changes and collisions, the incentive criterion takes into account the advantages and disadvantages of other drivers associated with a lane change via the "politeness factor." The parameter allows one to vary the motivation for lane changing from purely egoistic to more c...

976 citations

Journal ArticleDOI
TL;DR: In this article, a demand-responsive, multimodal system for bikesharing has been proposed, and a range of existing business models are discussed, including bicycle theft and vandalism, bicycle redistribution, information systems (e.g., real-time information), insurance and liability concerns, and pre-launch considerations.
Abstract: Growing concerns about global motorization and climate change have led to increasing interest in sustainable transportation alternatives such as bikesharing (the shared use of a bicycle fleet). Since 1965, bikesharing has grown across the globe on five continents: Europe, North America, South America, Asia, and Australia. Today, approximately 100 bikesharing programsareoperatinginanestimated125cities, with more than 139,300 bicycles. Bikesharing's evolution is categorized into three generations: (a) white bikes (or free bike systems), (b) coin-deposit systems, and (c) information technology-based systems. In this paper, a fourth generation is proposed: demand-responsive, multimodal systems. A range of existing bikesharing businessmodels(e.g., advertising)andlessons learned are discussed, including (a) bicycle theft and vandalism, (b) bicycle redistribution, (c) information systems (e.g., real-time information), (d) insurance and liability concerns, and (e) prelaunch considerations. Although limited in num...

827 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023658
2022974
2021948
2020655
2019826
2018876