MA Thesis

An Empirical Investigation of the Interrelationships Between Transportation Behavior and Urban Form

Publication Date

January 1, 1972

Author(s)

Thomas Golob

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Abstract

The role in the description of urban form attributable to specific manifestations of the trip-making behavior of spatially-defined groups of persons residing within the Detroit Standard Metropolitan Statistical Area is inductively established through exploration into regularities in selected data characterizing Minor Civil Divisions. All data were obtained from the 1965 Detroit Regional Transportation and Land Use Study. Dimensions of this role are developed mathematically through comparative principal components factor analyses of the interrelationships between the Minor Civil Divisions in terms of the flows of persons travelling among the areas and in terms of measures of the economic activities within the areas and the socio-economics, demographics and travel decisions of their respective populations. These dimenisons are then interpreted cartographically, and linkages are defined between the spatial distributions of Minor Civil Divisions with particular evaluations on the new descriptive dimensions and the location of major transportation facilities, and between the distributions and patterns of urban development. The results expand the realm of urban ecological studies to the inclusion of transportation demand and supply phenomena.

Suggested Citation

Thomas F. Golob (1972) An Empirical Investigation of the Interrelationships Between Transportation Behavior and Urban Form. Masters. Wayne State University. Available at: https://www.proquest.com/dissertations-theses/empirical-investigation-interrelationships/docview/2478065396/se-2?accountid=14509.

Phd Dissertation

Tour Complexity, Variability, and Pattern using Longitudinal GPS Data

Publication Date

January 1, 2017

Author(s)

Xiaoxia Shi

Areas of Expertise

Intelligent Transportation Systems, Emerging Technologies, & Big Data Travel Behavior, Land Use, & the Built Environment

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Abstract

Trip chaining is a common phenomenon generally known as linking multiple activities and trips in one travel process. A good understanding about trip chaining complexity is important for travel demand model development and for transportation policy design. However, most of the existing studies on trip chaining limit the complexity classification scheme on number of trips chained and neglect other dimensions that also elevate the degree of complexity. The purpose of this study is to develop a new approach, Tour Complexity Index (TCI), that integrates the multi-dimensional nature of trip chaining into the complexity assessment. The study contains three analysis components. The first component introduces the TCI approach as a trip chaining complexity measure that not only considers number of trips chained but also includes the spatial relationship across destinations, the route arrangement, and the urban environment of the destinations. By comparing descriptive statistics and generalized linear model results from TCI approach with those from traditional approach, we find that the TCI approach offers more information regarding trip chaining and mode choice. The application of TCI is further demonstrated in the following components. The second component investigates the intrapersonal daily and weekly travel variability with travel characterized by TCI and mode choice. The result reinforces an argument in current literature that the common single-day travel survey may produce biased estimation due to the day-to-day variance in travel behavior. Result also finds that proximity to a new transit service from place of residence is connected with a decline in variability. The third component explores a framework for travel pattern recognition where pattern is characterized by TCI as well. The discrepancy analysis which is a generalized analysis of variance (ANOVA) method is applied to associate individual characteristics with travel pattern. In addition, both components use Sequential Alignment Method (SAM) for travel pattern representation. The TCI approach and proposed analysis frameworks are validated using the longitudinal GPS trajectory data collected between 2011 and 2013 at west Los Angeles area for Expo Study.

Suggested Citation

Xiaoxia Shi (2017) Tour Complexity, Variability, and Pattern using Longitudinal GPS Data. Ph.D.. UC Irvine. Available at: https://escholarship.org/uc/item/9cn6g9dx (Accessed: October 12, 2023).

book/book chapter

Government land use interventions: An economic analysis

Publication Date

January 1, 2009

Author(s)

Jan Brueckner

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Suggested Citation

Jan K. Brueckner (2009) “Government land use interventions: An economic analysis”, in . Lall, SV and Freire, M and Yuen, B and Rajack, R and Helluin, JJ (ed.) Urban land markets. Springer Netherlands, pp. 3–23. Available at: https://doi.org/10.1007/978-1-4020-8862-9_1.

conference paper

Dynamic traffic assignment based on arrival-time-based origin-destination demand

Proceedings of the 85th annual meeting of the transportation research board

Publication Date

January 1, 2006

Author(s)

R. (Jay) Jayakrishnan, Hyunmyung Kim

Abstract

A dynamic traffic assignment (DTA) model has been widely accepted as a standard planning tool for assessing developed transportation policy and forecasting the effect of future travel demand. If excluding a problem originated from the inclusion of time concept in DTA model, the basic framework of DTA model is similar to that of static model. Using given exogenous travel demand, DTA model loads the travel demand on a network and finds an optimal solution satisfying with a pre-defined route choice rule. In standard DTA loading, the departure time pattern of given travel demand is predefined and assumed as fixed values. However, the departure time is variable depending on a network traffic condition in a real travel choice process when drivers have their preferred arrival time for their destinations. Therefore, for commuters in the morning peak, the departure time should be modeled as an endogenous variable. In this paper, the authors criticize the framework of current standard DAT model and propose an alternative approach which could overcome the shortcomings of current DTA model. The authors substitute a traditional definition for time-dependent OD table by a new definition in which the time-dependent OD table is defined as arrival time-based one. In results, we can have a new DTA model which can calculate equilibrium departure pattern without any additional module such as a schedule delay function. Three types of objective function for a new DTA framework are proposed, and the solution algorithms for the three objective functions are also explained.

Suggested Citation

R. Jayakrishnan and Hyunmyung Kim (2006) “Dynamic traffic assignment based on arrival-time-based origin-destination demand”, in Proceedings of the 85th annual meeting of the transportation research board, p. 25p.

published journal article

Americans’ opinions and interests in plug-in electric vehicle smart charging programs

Transportation Research Part D: Transport and Environment

Publication Date

April 1, 2024

Author(s)

Matthew Dean, Kara Kockelman

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Abstract

Power companies are developing plug-in electric vehicle (EV) smart charging programs to shift charging to off-peak hours, when demand is lower, and to align charging with renewable energy. An internet-based survey of over 1,000 Americans ascertains opinions on supplier-managed charging (SMC) programs and the expected benefits of program participation. About 25.6% of Americans say they would never accept SMC, but 8.8% would be willing to use an app or timer to stagger charging themselves. Up to 36.9% would cede some control to their supplier (17.6% at night only, 10.3% on grid-strained days only, and 8.9% every day to optimize the local grid). Multinomial logit models indicate that Americans with household EVs and wholesale-indexed energy rates are more willing to accept an SMC program. Tobit model results indicate the minimum required bill credits of $126 (one-time only) and $17 (per year) for SMC program participation.

Suggested Citation

Matthew D. Dean and Kara M. Kockelman (2024) “Americans’ opinions and interests in plug-in electric vehicle smart charging programs”, Transportation Research Part D: Transport and Environment, 129, p. 104129. Available at: 10.1016/j.trd.2024.104129.

conference paper

Novel Approach for Correcting and Smoothing Longitudinal Trajectories of Individual Vehicles

101st Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2022

Author(s)

Ximeng Fan, Wenlong Jin, Penghang Yin

Suggested Citation

Ximeng Fan, Wenlong Jin and Penghang Yin (2022) “Novel Approach for Correcting and Smoothing Longitudinal Trajectories of Individual Vehicles”. 101st Annual Meeting of the Transportation Research Board.

conference paper

Indoor positioning based on LTE carrier phase measurements and an inertial measurement unit

Proceedings of the 31st international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2018)

Publication Date

October 1, 2018

Author(s)

Ali Abdallah, Kimia Shamaei, Zaher Kassas

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Suggested Citation

Ali A. Abdallah, Kimia Shamaei and Zak M. Kassas (2018) “Indoor positioning based on LTE carrier phase measurements and an inertial measurement unit”, in Proceedings of the 31st international technical meeting of the satellite division of the institute of navigation (ION GNSS+ 2018). Institute of Navigation, pp. 3374–3384. Available at: 10.33012/2018.16073.

conference paper

Scheduled Bus Route Short Turning Operations and Substitution by Transportation Network Company Services

102nd Transportation Research Board Annual Meeting 2023

Publication Date

January 1, 2023

Author(s)

Negin Shariat, R. (Jay) Jayakrishnan

Suggested Citation

Negin Shariat and R. Jayakrishnan (2023) “Scheduled Bus Route Short Turning Operations and Substitution by Transportation Network Company Services”. 102nd Transportation Research Board Annual Meeting 2023.

research report

Schemes to expand origin-destination estimation results for microscopic simulation to an extended network

Publication Date

January 1, 2015

Author(s)

Ankoor Bhagat, Ke Wang, R. (Jay) Jayakrishnan, Jean-Daniel Saphores

Suggested Citation

Ankoor Bhagat, Ke Wang, R Jayakrishnan and Jean-Daniel Saphores (2015) Schemes to expand origin-destination estimation results for microscopic simulation to an extended network.

research report

Incorporating Vehicular Emissions into an Efficient Mesoscopic Traffic Model: An Application to the Alameda Corridor, CA

Publication Date

February 1, 2011

Author(s)

Qi-Jian Gan, Jielin Sun, Jielin Sun, Wenlong Jin, Jean-Daniel Saphores

Final Report

UCTC-FR-2011-02

Areas of Expertise

Travel Behavior, Land Use, & the Built Environment Zero-Emission Vehicles & Low-Carbon Fuels

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Abstract

We couple EMFAC with a dynamic mesoscopic traffic model to create an efficient tool for generating information about traffic dynamics and emissions of various pollutants (CO2, PM10, NOX, and TOG) on large scale networks. Our traffic flow model is the multi-commodity discrete kinematic wave (MCDKW) model, which is rooted in the cell transmission model but allows variable cell sizes for more efficient computations. This approach allows us to estimate traffic emissions and characteristics with a precision similar to microscopic simulation but much faster. To assess the performance of this tool, we analyze traffic and emissions on a large freeway network located between the ports of Los Angeles/Long Beach and downtown Los Angeles. Comparisons of our mesoscopic simulation results with microscopic simulations generated by TransModeler under both congested and free flow conditions show that hourly emission estimates of our mesoscopic model are within 4 to 15 percent of microscopic results with a computation time divided by a factor of 6 or more. Our approach provides policymakers with a tool more efficient than microsimulation for analyzing the effectiveness of regional policies designed to reduce air pollution from motor vehicles.

Suggested Citation

Qijian Gan, Jielin Sun, Wenlong Jin and Jean-Daniel Saphores (2011) Incorporating Vehicular Emissions into an Efficient Mesoscopic Traffic Model: An Application to the Alameda Corridor, CA. Final Report UCTC-FR-2011-02. Institute of Transportation Studies, UC Irvine: University of California Transportation Center. Available at: https://escholarship.org/uc/item/2w12n0c6.