working paper

The Effect of Organization Size and Structure on Transit Performance and Employee Satisfaction: A Literature Review

Publication Date

December 1, 1978

Associated Project

The Effect of Organization Size and Structure on Transit Performance and Employee Satisfaction

Author(s)

Dan Dalton, Gordon (Pete) Fielding, Lyman Porter, Michael Spendolini, William Todor

Working Paper

UCI-ITS-WP-78-8

Areas of Expertise

Public Transit, Shared Mobility, & Active Transportation

View working paper

Abstract

The following secti-on reviews the development of structure as an organizational variable, discusses the various dimensions of organizational structure in detail, and discusses their application to the transit industry.

Suggested Citation

Dan R. Dalton, Gordon J. Fielding, Lyman W. Porter, Michael J. Spendolini and William D. Todor (1978) The Effect of Organization Size and Structure on Transit Performance and Employee Satisfaction: A Literature Review. Working Paper UCI-ITS-WP-78-8. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/826211pv.

Related Publications

research report | Dec 1978

The effect of organization size and structure on transit performance and employee satisfaction: final report

working paper | Dec 1978

The Effect of Organization Size and Structure on Transit Performance and Employee Satisfaction: Intermediate Progress Report

published journal article

A kinematic wave theory of capacity drop

Transportation Research Part B: Methodological

Publication Date

November 1, 2015

Author(s)

Wenlong Jin, Qi-Jian Gan, Jean-Patrick Lebacque

View published journal article

Suggested Citation

Wen-Long Jin, Qi-Jian Gan and Jean-Patrick Lebacque (2015) “A kinematic wave theory of capacity drop”, Transportation Research Part B: Methodological, 81(1), pp. 316–329. Available at: 10.1016/j.trb.2015.07.020.

published journal article

Bargaining Unit Structure and Organizational Outcomes

Industrial Relations: A Journal of Economy and Society

Publication Date

January 1, 1981

Author(s)

James Perry, Harold Angle

View published journal article

Suggested Citation

James L. Perry and Harold L. Angle (1981) “Bargaining Unit Structure and Organizational Outcomes”, Industrial Relations: A Journal of Economy and Society, 20(1), pp. 47–59. Available at: 10.1111/j.1468-232X.1981.tb00181.x.

published journal article

Navigation with cellular CDMA Signals—Part II: Performance analysis and experimental results

IEEE Transactions on Signal Processing

Publication Date

April 1, 2018

Author(s)

Joe Khalife, Zaher Kassas

View published journal article

Suggested Citation

Joe Khalife and Zaher M. Kassas (2018) “Navigation with cellular CDMA Signals—Part II: Performance analysis and experimental results”, IEEE Transactions on Signal Processing, 66(8), pp. 2204–2218. Available at: 10.1109/tsp.2018.2799166.

published journal article

PROCEDURE FOR ESTIMATING NATIONAL MARKET AND TOTAL SOCIOECONOMIC IMPACTS OF NEW SYSTEMS OF URBAN TRANSPORTATION

Transportation Research Record

Publication Date

January 1, 1972

Author(s)

Eugene T. Canty, Thomas Golob

Abstract

This paper presents a general procedure for determining the potential national market and total socioeconomic and environmental impacts for an urban transportation system concept that can be considered for implementation in a large number of urban areas. The procedure involves the following closely interrelated steps: (a) statistical classification of all metropolitan areas into relatively homogeneous groups on the basis of their transportation requirements; (b) selection of the most representative area in each group; (c) performance of analytical case studies in each representative area in order to synthesize the optimal system design for that area and evaluate the impacts on user and nonuser population stratifications; (d) statistical analyses of the differences among areas within the same group; (e) performance of sensitivity analyses of each case study guided by these difference analyses; (f) extensions of the results of the case studies to the other areas in each group through the use of the sensitivity and difference analyses; and (g) aggregation of the market estimates for all metropolitan areas and of the total impacts for the country as a whole by user and nonuser population stratifications. Specific methods are given for many of the steps in the procedure, and guidelines are presented for some of the more traditional planning tasks such as case study analyses

Suggested Citation

Eugene T. Canty and Thomas F. Golob (1972) “PROCEDURE FOR ESTIMATING NATIONAL MARKET AND TOTAL SOCIOECONOMIC IMPACTS OF NEW SYSTEMS OF URBAN TRANSPORTATION”, Transportation Research Record [Preprint], (399).

conference paper

A geospatial data fusion framework to quantify variations in electric vehicle charging demand

Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Publication Date

November 18, 2021

Author(s)

Mankin Law, Avipsa Roy

View conference paper

Abstract

Electric vehicles (EV) are an emerging mode of transportation, and big cities in the United States have witnessed an ever-growing demand for EV usage. The primary benefit of EVs is the high fuel efficiency by using only electricity, and hence lowers the dependency on fossil fuels and significantly reduces greenhouse gas emissions. Although the number of EVs has increased, the availability of EV charging stations for public use has been disproportionate to its demand. More recently, populations residing in the Southern California region have been faced with challenges such as range anxiety owing to the uneven spatial distribution of charging stations throughout the region. As the EV population continues to expand, identifying hotspots of EV charging and barriers to the equitable access of charging stations have gained much importance. Our study uses a geospatial data fusion approach with spatial statistics to combine EV charging station data, land use information, and American Community Survey (ACS) data at the census block group level in Orange County, California to discover optimal locations to broaden the EV charging network and identify potential equity issues surrounding charging station placements.

Suggested Citation

Mankin Law and Avipsa Roy (2021) “A geospatial data fusion framework to quantify variations in electric vehicle charging demand”, in Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities. New York, NY, USA: Association for Computing Machinery (ARIC '21), pp. 23–26. Available at: 10.1145/3486626.3493429.

Published Journal Article: Avoiding the risk of responsibility by seeking uncertainty: Responsibility aversion and preference for indirect agency when choosing for others

published journal article

A study of tour formation: pre-, during, and post-recession analysis

Transportation

Publication Date

October 1, 2021

Author(s)

Rezwana Rafiq, Michael McNally

View published journal article

Abstract

This study examines changes in activity-travel patterns of employed people during a recession by using a tour-based representation of the activity-based approach. The term tour is defined as a sequence of trips and activities that begins and ends at home and contains at least one non-home activity. Tours are classified based on the presence of work and/or non-work activities. We are interested in investigating how a recession can affect an individual’s tour choices. We developed a rigorous methodological framework by using multi-group structural equation modeling (SEM) to analyze changes in tour choice. In particular, we developed a causal structure conceptualsizing the interrelationships among socio-demographic and economic characteristics, activity-travel participation, and the choice of various work and non-work tours. Using data from the American Time Use Survey (ATUS), the study found that activity-travel relationships and their role in tour choice differed in the recession year (2009) compared to pre- and post-recession years (2009 and 2012, respectively). By analyzing temporal changes in causal structure, we identified four sub-trend groups defined by: (1) norms that did not change in pre-, during, and post-recession years, (2) norms that changed during the recession but returned to the old norm, (3) norms that changed during the recession and were maintained as new norm, and finally (4) 2006 norms that did not change during the 2009 recession but changed after the recession. Via analysis of multiple group SEM, we identified instances of each of these cases and provided potential rationales in the context of how a recession can influence norms and thus can affect activity-travel behavior.

Suggested Citation

Rezwana Rafiq and Michael G. McNally (2021) “A study of tour formation: pre-, during, and post-recession analysis”, Transportation, 48(5), pp. 2187–2233. Available at: 10.1007/s11116-020-10126-8.

conference paper

GAN-Sec: Generative adversarial network modeling for the security analysis of cyber-physical production systems

2019 design, automation & test in europe conference & exhibition (DATE)

Publication Date

March 1, 2019

Author(s)

Sujit Rokka Chhetri, Anthony Lopez, Jiang Wan, Mohammad Al Faruque

View conference paper

Suggested Citation

Sujit Rokka Chhetri, Anthony Bahadir Lopez, Jiang Wan and Mohammad Abdullah Al Faruque (2019) “GAN-Sec: Generative adversarial network modeling for the security analysis of cyber-physical production systems”, in 2019 design, automation & test in europe conference & exhibition (DATE). IEEE, pp. 770–775. Available at: 10.23919/date.2019.8715283.

conference paper

A lane changing cell transmission model for modeling capacity drop at lane drop bottlenecks

Proceedings of the 95th annual meeting of the transportation research board

Publication Date

January 1, 2016

Author(s)

Anupam Srivastava, Wenlong Jin

Abstract

Over the years the capacity drop phenomenon at freeway bottlenecks has remained a topic of interest and intrigue. Capacity drop has an undeniable impact on freeway performances, directly affecting the throughput. Various studies have tried to measure, predict, and model capacity drop. In this paper, the authors integrate a simplistic lane changing model and an acceleration model together into the Cell Transmission Model framework. The capacity drop is modeled as a combined effect of a lane changing area upstream of the bottleneck location and an acceleration region downstream. Each lane changing vehicle is considered to contribute towards density on two lanes during the lane changing maneuver as it effects the following vehicles on both the original and target lanes. This effect is modeled through the introduction of a â??perceived densityâ?? variable. This perceived density is obtained by scaling the actual density up by the lane-changing intensity, and is used to determine the demand at the bottleneck. A demand function linearly decreasing in density under over-saturated conditions is used to model the acceleration process of vehicles as they discharge from the bottleneck. It is shown that the capacity drop can then be predicted from calibrated demand-supply functions and lane changing intensity.

Suggested Citation

Anupam Srivastava and Wenlong Jin (2016) “A lane changing cell transmission model for modeling capacity drop at lane drop bottlenecks”, in Proceedings of the 95th annual meeting of the transportation research board, p. 17p.