Abstract
Author(s): Kim, Jae Hong; Houston, Douglas
policy brief
Author(s): Kim, Jae Hong; Houston, Douglas
working paper
The primary intent of this paper is to explore the claim that transportation benefits can be derived from neotraditional neighborhood design. Conventional transportation planning models are used as tools to evaluate the performance differences of two hypothetical street networks designed to replicate a neotraditional and a conventional suburban community. Relative transportation benefits are measured in terms of vehicle-miles traveled, average trip lengths, and congestion on links and at intersections. This comparison provides an assessment of how well the two networks in question deal with trips generated by the activities which they serve. All aspects of the modeled communities are held constant except for the actual configuration of the networks. The results of this evaluation indicate that equivalent levels of activity (defined by the land uses within the community) can produce greater congestion with conventional network structures and that corresponding average trip lengths are generally longer. The ultimate goal is to determine if one network type, because of the nature of its design, can result in a more efficient transportation system. The results indicate that neotraditional designs can improve system performance.
conference paper
published journal article
published journal article
working paper
This report presents the findings of an examination of commercial motor vehicle crashes in California. Initially, a review of the basic descriptive statistics associated with truck-involved crashes in California was conducted; it covered the time period between January 1995 and December 2004 based on the Statewide Incident Tracking and Reporting System (SWITRS) data base, which contains information about every single motor vehicle accident in the state reported to a law enforcement agency. In addition to examinations of the entire population of truck-involved crashes in the state over the designated period, truck-involved crashes in Los Angeles County and the San Francisco Bay Area were also investigated. The next part of the report investigated the rates of truck accidents across California to determine the risk factors involved, including exposure to truck crashes, environmental conditions and demographic factors. The investigation involves modeling crashes as a function of these risk factors based on SWITRS data between 1998 and 2004.
published journal article
published journal article
working paper
Until 184, Federal regulation sanctioned monopoly as the primary mechanism for distributing natural gas. Pipelines were granted protected markets and permitted to acquire and distribute gas only through long-term contracts. To buy or sell gas, users and producers had to deal with the pipeline, they could not deal directly. Gas markets failed to exit. In 1985, pipelines were given the option to become “open access” pipelines who transported gas. This change dissolved the barriers to markets and, for the first time in more than fifty years, authorized competition. In this paper, we observe and evaluate the emergence, evolution and performance of natural gas spot markets in this new environment. We discover that spot markets flourished in the absence of regulatory barriers to their existence; more than fifty spot markets came into existence and quickly replaced long-term contracts and pipelines as sources gas. The spot price evidence reveals that open access changed the topology of the pipeline network: the balkanized and disconnected network of gas markets created by regulation became more strongly connected and spot prices converged and became more correlated throughout the network. By the end of our sample period, gas markets had become liquid and informationally efficient — demand or supply shocks are strongly damped across the network, and the price at any point contains all the information in the network. The spatially separated spot markets are now so strongly connected that they form a single national market for natural gas.
working paper
This paper summarizes the initial formulation of a micro-simulation model for activity-based travel demand forecasting that integrates household activities, land use distributions, regional demographics, and transportation networks in an explicitly time-dependent fashion. Intended to form the initial elements of an alternative to the conventional four-step transportation planning process, the prototype model incorporates an activity-based travel behavior model in a micro simulation approach utilizing a Geographic Information Systems platform to manipulate survey, demographic, land use, and network databases. An aggregate classification using travel diaries produces representative activity patterns which are specified implicitly in terms of temporal information, activity purpose, and sequencing. The classification also provides probability distributions of activity dimensions such as purpose and duration. Additional households are sampled and, based on demographic, land use, and network characteristics provided by the GIS, a target representative activity pattern is specified as are ambient activity densities. Activity characteristics such as purpose and duration are drawn from the distributions associated with the target pattern; trips are sequentially simulated based on a Monte Carlo approach of potential activity-specific destinations within a range of travel times from the prior and the home locations. The nature of the simulation is such that the simulated pattern, while maintaining the general characteristics of the target representative pattern, reflects the activity distributions and network characteristics of the household being simulated. The resultant set of activity patterns may be aggregated for any defined spatial-temporal limits. The model provides an activity-based method for estimating dynamic, linked-trip, origin destination demand matrices. Effectively replacing the generation and distribution components of the conventional process, the model represents a potentially important step toward the development of alternative transportation planning methods.