Browsing by Author "El-Geneidy, Ahmed"

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Access to Destinations: Application of Accessibility Measures for Non-Auto Travel Modes
(Minnesota Department of Transportation, Research Services Section, 2009-07) Krizek, Kevin J.; Iacono, Michael; El-Geneidy, Ahmed; Liao, Chen Fu; Johns, Robert
Conventional transportation planning is often focused on improving movement (or mobility)—most often by the automobile. To the extent that accessibility, a well-known concept in the transportation planning field since the 1950s, has been measured or used in transportation planning, such measures have also been auto-based. Broadening the scope of accessibility to include a wide array of destinations and non-auto modes such as walking, cycling, and transit has been previously proposed as a much needed aim among planning initiatives. A central issue is that to date, however, there have been few examples of measures draw from. When it comes to bicycling, walking, and transit measures of accessibility are an endeavor long on rhetoric but short on execution. This report discusses such hurdles, presents alternatives for overcoming them, and demonstrates how accessibility for walking, cycling, and transit—and for different types of destinations—can be reliably measured. We focus on explaining specific features of non-motorized transportation that complicate the development of accessibility measures, and offer solutions that conform to conventional transportation planning practice. In this research project, non-motorized measures of accessibility were developed for the entire seven counties of the Twin Cities (Minnesota, USA) metropolitan area. For purposes of this exposition in this report, we discuss the details of creating such measures using a sample application from Minneapolis, Minnesota, USA to demonstrate proof of concept for the endeavor.
Access to Destinations: Monitoring Land Use Activity Changes in the Twin Cities Metropolitan Region
(Minnesota Department of Transportation, 2008-07) Iacono, Michael; Levinson, David; El-Geneidy, Ahmed; Wasfi, Rania; Zhu, Shanjiang
This study presents an effort to track and model land use change in the Twin Cities Metropolitan Region. To that end, we make use of a unique, high-resolution, cell-level set of land use data for the Twin Cities. The data represent 75 meter by 75 meter land use cells, observed at several points in time during the period from 1958 to 2005. These data are used to validate three different types of land use models, which then are used to forecast land use several decades into the future. The models applied in this study include Markov Chain models, Markov Chain-Cellular Automata (MC-CA) models, and an empirical model based on a logistic regression specification. The models are intended to have a simple, transparent structure that allows the user to identify sources of forecast error. Forecasts of land use are made both for the entire study area and also for a specific corridor along State Highway 610 in the northwestern suburbs of the Twin Cities. The study concludes with a brief discussion of the limitations of the models, and how they might meaningfully be expanded and applied.
Access to Destinations: Refining Methods for Calculating Non-Auto Travel Times
(Minnesota Department of Transportation, 2007-06) Krizek, Kevin; El-Geneidy, Ahmed; Iacono, Michael; Horning, Jessica
The functioning of the system of land use and travel networks in a region can be encapsulated into measures of the ease of reaching destinations from various locations, often referred to as accessibility measures. Regardless of the form used to specify accessibility, all measures require as inputs travel times between the zones of a region. For most transportation planning purposes, these travel time calculations are limited to motorized modes (auto and public transit), since these modes carry the bulk of all urban travel. In this research study, attention is focused on developing methods for calculating travel times by non-auto modes, including walking, bicycling and public transit. Unique networks for each mode are developed, accounting for the presence of special facilities such as pedestrian or bicycle trails and on-street bike lanes. A statistical model is estimated to identify the influence of special bicycle facilities on travel speeds, using GPS data collected from bicyclists in a real-world setting. These methods are demonstrated with an application to a section of the Twin Cities metropolitan region encompassing parts of the cities of Minneapolis, St. Paul and Bloomington. The output of the application of these methods are a set of maps depicting travel sheds from various locations within the study area. The data are displayed for three points in time: 1995, 2000 and 2005. Changes to these travel sheds over time are demonstrated with maps that show the difference in travel time between each set of origins and destinations for each pair of years. The research concludes with some suggestions about the uses of the travel time data, such as the calculation of multimodal, multipurpose measures of accessibility.
Accessibility-oriented development
(2017) Deboosere, Robbin; Levinson, David M; El-Geneidy, Ahmed
Municipal governments worldwide have been pursuing transit-oriented development (TOD) strategies in order to increase transit ridership, curb traffic congestion, and rejuvenate urban neighborhoods. In many cities, however, development of planned sites around transit stations has been close to non-existent, due to, among other reasons, a lack of coordination between transit investments and land use at the regional scale. Furthermore, the ability to access transit differs from the ability to access destinations that people care about. Reframing transit-oriented development as accessibility-oriented development (AOD) can aid the process of creating functional connections between neighborhoods and the rest of the region, and maximize benefits from transport investments. AOD is a strategy that balances accessibility to employment and the labor force in order to foster an environment conducive to development. AOD areas are thus defined as having higher than average accessibility to employment opportunities and/or the labor force; such accessibility levels are expected to increase the quality of life of residents living in these areas by reducing their commute time and encouraging faster economic development. To quantify the benefits of AOD, accessibility to employment and the labor force are calculated in the Greater Toronto and Hamilton Area, Canada in 2001 and 2011. Cross-sectional and temporal regressions are then performed to predict average commute times and development occurring in AOD areas and across the region. Results show that AOD neighborhoods with high accessibility to jobs and low accessibility to the labor force have the lowest commute times in the region, while the relationship also holds for changes in average commute time between the studied time periods. In addition, both accessibility to jobs and accessibility to the labor force are associated with changes in development, as areas with high accessibility to jobs and the labor force attract more development. In order to realize the full benefits of planned transit investments, planning professionals and policy makers alike should therefore leverage accessibility as a tool to direct development in their cities, and concentrate on developing neighbourhoods with an AOD approach in mind.
Better Understanding the Potential Market of Metro Transit's Ridership and Service
(University of Minnesota Center for Transportation Studies, 2006-10) Krizek, Kevin; El-Geneidy, Ahmed
Ridership is a key element in the transit industry. Conventional travel analysis focuses on two types of transit users: captive and choice riders. Captive riders are typically those who lack an alternative to transit; they therefore use it as their primary mode of transportation to reach their destination. Choice riders are those who have realistic alternatives (e.g., driving) but choose to use transit for various trips. Service reliability and availability affects the ridership of both populations. However, substantial increases in ridership are usually assumed to be derived only from choice riders. Populations not using transit may be further considered as two distinct populations: auto captives and potential riders. Auto captives are mainly auto users who don’t have transit as a potential mode of transportation or would not even realistically consider using transit. Potential riders are currently not using transit for certain reasons and/or concerns, but may consider the idea of using transit based on certain criteria. This research analyzes results from two surveys conducted in the Twin Cities metropolitan region: one of existing riders and the other of non-riders. The aim is to understand the characteristics of both captive and choice riders, with an eye toward the factors that can increase ridership of the latter population. This research classifies riders and non-riders differently from previous research. In addition to the captivity of modes, the classification considers regularity of commuting. Accordingly, transit riders are classified as one of four categories: captive riders with regular commuting habits, captive riders with irregular commuting habits, choice riders with regular commuting habits, and choice riders with irregular commuting habits. Similarly, there are four types of non-riders: auto captives with regular commuting habits, auto captives with irregular commuting habits, potential riders with regular commuting habits, and potential riders with irregular commuting habits. Using the survey data to uncover such population, this research then comments on how using advanced forms of technology could increase the ridership from various populations.
The cost of equity: Assessing transit accessibility and social disparity using total travel cost
(2016) El-Geneidy, Ahmed; Levinson, David, M; Diab, Ehab; Boisjoly, Genevieve; Verbich, David; Loong, Charis
Social equity is increasingly incorporated as a long-term objective into urban transportation plans. Researchers used accessibility measures to assess equity issues, such as determining the amount of jobs reachable by marginalized groups within a defined travel time threshold and compare these measures across socioeconomic categories. However, allocating public transit resources in an equitable manner is not only related to travel time, but also related to the out-of- pocket cost of transit fares, which can represent a major barrier to accessibility for many disadvantaged groups. Therefore, this research proposes a set of new accessibility measures that incorporates both travel time and transit fares. It then applies those measures to determine whether people residing in socially disadvantaged neighborhoods in Montreal, Canada experience the same levels of transit accessibility as those living in other neighborhoods. Results are presented in terms of regional accessibility and trends by social indicator decile. Travel time accessibility measures estimate a higher number of jobs that can be reached compared to combined travel time and cost measures. However, the degree and impact of these measures varies across the social deciles. Compared to other groups in the region, residents of socially disadvantaged areas have more equitable accessibility to jobs using transit; this is reflected in smaller decreases in accessibility when fare costs are included. Generating new measures of accessibility combining travel time and transit fares provides more accurate measures that can be easily communicated by transportation planners and engineers to policy makers and the public since it translates accessibility measures to a dollar value.
Does travel behavior matter in defining urban form? A quantitative analysis characterizing distinct areas within a region
(Journal of Transport and Land Use, 2014) Jacques, Cynthia; El-Geneidy, Ahmed
Research that attempts to characterize urban form is confronted with two key issues: criticism of the use of aggregate units of analysis, such as census tracts, and a general lack of consideration of variables related to elements other than the built environment, such as residents’ behavior. This methodological study explores the impact of travel behavior variables in the quantitative characterization of urban form at the census tract level for the Montreal region. Two separate factor-cluster analyses are performed: the first includes built-environment variables commonly used to typify areas within a region, and a second includes additional travel behavior variables. The results of both models are compared to satellite images to determine which analysis more accurately represents the reality on the ground. The results provide empirical evidence that travel behavior variables, in addition to built form, provide a more accurate representation of urban form at the census tract level. These variables refine the model output by moderating the effect of features that generally led to misleading results. This effect is particularly evident in areas represented by large census tracts. These results suggest that considering both built environment and behavioral characteristics in an analysis of urban form yields more precise results at the (aggregate) census tract level. The findings from this study could be helpful for engineers and planners when conducting property value studies, urban investment analysis, and policy intervention prioritization and when expanding the well-known land use classification of urban and rural categories.
How much is enough? Assessing the influence of neighborhood walkability on undertaking 10-minute walks
(Journal of Transport and Land Use, 2018) Boisjoly, Geneviève; Wasfi, Rania; El-Geneidy, Ahmed
Neighborhood walkability is increasingly perceived as an effective way to support individuals’ health, since living in a walkable environment is associated with increases in utilitarian walking. Yet, while people are more likely to walk in more walkable neighborhoods, increased walkability can also lead to walking shorter distances, thus mitigating the positive health outcomes associated with walkable environments. Given that the World Health Organization recommends physical activity to be performed in sessions of at least 10 minutes, the aim of this research is to explore the relationship between neighborhood walkability and individuals’ likeliness of walking in sessions of at least 10 minutes. A multilevel logistic regression is generated using data from the Montreal, Canada, 2013 Origin-Destination Survey. The results show that the probability of walking at least 10 minutes for shopping purposes is equally high in the 80-89 and 90-100 Walk Score neighborhoods. In contrast, car ownership is a strong predictor of walking at least 10 minutes, especially in higher Walk Score neighborhoods. These findings suggest that transport policies aimed at reducing car ownership, combined with land use policies, can be most effective in supporting the minimal 10-minute sessions of walking for shopping purposes. This study provides a nuanced assessment of walkability and is of relevance to researchers and planners wishing to assess and develop policies for increasing health benefits through active transportation.
If we build it, who will benefit? A multi-criteria approach for the prioritization of new bicycle lanes in Quebec City, Canada
(Journal of Transport and Land Use, 2018) Grisé, Emily; El-Geneidy, Ahmed
Many cities across the world are actively promoting cycling through investments in cycling infrastructure, yet ensuring that the benefits from these investments are distributed equally in a region and not benefiting only one group is an important social goal. The aim of this study is to develop a methodology that can help in identifying where new bicycle facilities can be built in a region while prioritizing investments for those who need them most. The study uses Quebec City, Canada, as an example since the city has recently made a strong commitment to provide safe and attractive bicycle infrastructure to its residents. It also uses a GIS-based grid cell model to identify priority areas for cycling investment in different parts of the city. This is followed by a proposal for a new set of facilities based on a multi-criteria approach. These proposed facilities are then evaluated through a level of usage analysis to determine which routes will provide the maximum benefit to existing and potential cyclists. Finally, an equity analysis is conducted to evaluate whether the new facilities will meet some of the travel needs of individuals residing in socially deprived neighborhoods. This step in the evaluation process proposes a new social equity component in bicycle planning processes. This research can be of value to planners, engineers and policymakers working toward investments in bicycle facilities because it shows the full process of planning and evaluating different cycling facilities while incorporating social equity principles.
Mapping Accessibility Over Time
(Journal of Maps, 2007) El-Geneidy, Ahmed; Levinson, David M
The concept of "accessibility" has been coin in the transportation planning field for more than 40 years. Improving accessibility is a common element in the goals section in almost all transportation plans in the US. In this study we compare the changes in levels of accessibility over time in the Minneapolis - St. Paul region using two different modes (auto and transit). The importance of accessibility as a measure of land use and transportation planning performance in the region is revealed by comparing it over time. The longitudinal analysis being conducted shows improvements in most areas in the studied region in terms of the level of accessibility by automobile, and a drop in accessibility by transit over the period 1990 to 2000. The findings are compared to the levels of congestion in the region between the same time periods. This comparison shows the difference between the two measures and strengthens the importance of accessibility measures as a tool for monitoring and evaluating regional land use and transportation planning performance.
Markov Chain Model of Land Use Change
(2015) Iacono, Michael J; Levinson, David M; El-Geneidy, Ahmed; Wasfi, Rania A
The set of models available to predict land use change in urban regions has become increasingly complex in recent years. Despite their complexity, the predictive power of these models remains relatively weak. This paper presents an example of an alternative modeling framework based on the concept of a Markov chain. The model assumes that land use at any given time, which is viewed as a discrete state, can be considered a function of only its previous state. The probability of transition between each pair of states is recorded as an element of a transition probability matrix. Assuming that this matrix is stationary over time, it can be used to predict future land use distributions from current data. To illustrate this process, a Markov chain model is estimated for the Minneapolis-St. Paul, MN, USA (Twin Cities) metropolitan region. Using a unique set of historical land use data covering several years between 1958 and 2005, the model is tested using historical data to predict recent conditions, and is then used to forecast the future distribution of land use decades into the future. We also use the cell-level data set to estimate the fraction of regional land use devoted to transportation facilities, including major highways, airports, and railways. The paper concludes with some comments on the strengths and weaknesses of Markov chains as a land use modeling framework, and suggests some possible extensions of the model.
Measuring the transportation needs of people with developmental disability
(2006) Wasfi, Rania A; Levinson, David M; El-Geneidy, Ahmed
Measuring the transportation needs of people with developmental disability Abstract: The US Department of Health and Human Services Administration on Development Disabilities estimates the number of people diagnosed with a developmental disability in the United States as 4.5 million persons, which would translate to about 17,000 residents of Hennepin County, Minnesota. This research paper examines the transportation needs of adults with developmental disabilities either residing or working in Hennepin County through a survey of their existing travel behavior and their unmet transportation needs. The survey had both demographic and attitude questions as well as a travel diary to record both actual and desired but untaken trips. In this paper we report and discuss the main findings of the survey. It was clear from observing the returned sample that almost the entire surveyed population does not live independently. More than half of the surveyed population worked every day, while recreation occurred at least once a week for about two-thirds of the population, and more than half undertook social trips weekly. About 30% reported being unable to make trips they want to make and 46% unable to make trips they need to make. Public transit poses difficulties for this population both physically and intellectually. There were also specific complaints about the lack of transit service in addition to concerns regarding paratransit services. Community service providers received praise.
The Minimum Circuity Frontier and the Journey to Work
(2009) Levinson, David M; El-Geneidy, Ahmed
In an urban context people travel between places of residence and work destinations via transportation networks. Transportation studies that involve measurements of distances between residence and work locations tend to use Euclidean distances rather than Network distances. This is due to the historic difficulty in calculating network distances and based on assumptions that differences between Euclidean distance and network distance tend to be constant. This assumption is true only when variation in the network is minor and when self-selection is not present. In this paper we use circuity, the ratio of network to Euclidean distance, as a tool to better understand the choice of residential location relative to work. This is done using two methods of defining origins and destinations in the Twin Cities metropolitan region. The first method of selection is based on actual choice of residence and work locations. The second is based on a randomly selected dataset of origins and destinations in the same region. The findings of the study show circuity measured through randomly selected origins and destinations differ from circuity measured from actual origins and destinations. Workers tend to reside in areas where the circuity is lower, applying intelligence to their location decisions. We posit this because locators wish to achieve the largest residential lot at the shortest commute time. This finding reveals an important issue related to resident choice and location theory and how resident workers tend to locate in an urban context.
Modal equity of accessibility to healthcare in Recife, Brazil
(Journal of Transport and Land Use, 2022) Cui, Boer; Boisjoly, Geneviève; Serra, Bernardo; El-Geneidy, Ahmed
In the context of increasing urbanization and income inequality, transport professionals in the Global South need to be prepared to effectively plan for the needs of various groups within the population, particularly for those regarding health and well-being. Accessibility is widely used as a performance measure for land use and transport systems; it measures people’s ease of reaching desired destinations and incorporates mode, time, and/or cost constraints. Considerable differences exist in the level of accessibility experienced by different mode users in reaching healthcare facilities, which calls for additional equity considerations given the prevailing socio-demographic characteristics of the users of various modes and the importance of healthcare facilities as a destination. In this study, we explore the distribution of accessibility to healthcare facilities by public transport and by car in Recife, Brazil, through an equity assessment to identify areas with low accessibility using these modes at different times of day. In general, the higher accessibility of public transport as well as greater modal equity was observed in central regions of Recife, whereas the periphery, where many low-income census tracts can be found, experiences significant inequity when it comes to access by both modes to healthcare facilities. This analysis allowed us to classify locations to access impoverished, access absolutely impoverished, and access impoverished by public transport areas, which can be targeted with appropriate land use and public transport policy interventions. This paper can be of value to professionals and researchers working toward equitable land use and transport systems in the Global South.
Montréal’s roots: Exploring the growth of Montréal’s Indoor City
(J, 2011) El-Geneidy, Ahmed; Kastelberger, Lisa; Abdelhamid, Hatem
Indoor pedestrian pathways are increasingly common in cities worldwide. Montréal’s Indoor City is one of the most expansive indoor pedestrian networks in the world, extending for more than 32 kilometers (19.88 miles) and covering an area of twelve square kilometers (4.6 square miles) in the city’s downtown. The benefits associated with the growth of Montréal’s indoor network are numerous, including: improved access throughout the downtown; shorter pedestrian walking distances; year-round climate protection; and increased amounts of public spaces. The research described in this paper examines the historical growth of Montréal’s Indoor City, with the aim of exploring the factors that caused its rapid growth. Specifically, changes in pedestrian access to retail space over time are modeled in a geographic information system to highlight major phases in the growth of the network. This research develops a theoretical framework, constructs a comprehensive time sequence describing the growth of the Indoor City’s pedestrian network, and interprets the results to convey the lessons learned from Montréal’s planning policies towards the Indoor City. The results of this research suggest that a series of plans and administrative policies adopted by the City of Montréal over the past 45 years have had a significant impact on the growth of the Indoor City. At the same time, it is also clear that access to retail and public transit (especially the underground metro lines), as well as a loophole in the Montréal legislative system, have had significant effects on the growth of the Indoor City.
Place Rank: Valuing Spatial Interactions
(2011) El-Geneidy, Ahmed; Levinson, David M
ccessibility measures the potential of opportunities for interaction. This paper proposes and explores a new flow-based measure, 'place rank' using origin-destination information. Both impedance and value of opportunities are embedded in the dataset that includes the origin and destination of each person within the studied region. Individuals contribute to the place rank at their destination (work) zone with a power that depends on the attractiveness of the zone of origin. In this paper we demonstrate this place rank measure for three activities (Jobs, Resident Workers, and Health Services) in the Minneapolis-St. Paul metropolitan region and Jobs in Montreal, Canada. We compare place rank to traditional measures of accessibility. Since place rank is based on actual choices of origins and destinations it is a measure of realized rather than potential opportunities, and so unlike accessibility measures. Also it does not require the knowledge of travel time between all origins and destinations.
Planning a high-frequency transfer-based bus network: How do we get there?
(Journal of Transport and Land Use, 2021) Grisé, Emily; Stewart, Anson F.; El-Geneidy, Ahmed
As cities have grown more dispersed and auto-oriented, demand for travel has become increasingly difficult to meet via public transit. Public transit ridership, particularly bus ridership, has recently been on the decline in many urban areas in Canada and the United States, and many agencies have either undergone or are planning comprehensive bus network redesigns in response. While comprehensive bus network redesigns are not novel to public transit, network redesigns are commonly being considered in cities to optimize operational costs and reverse downward trends in transit ridership. For cities considering a comprehensive bus network redesign, there is currently no comprehensive easy-to-follow planning process available to guide cities through such a major undertaking. In light of that, this study presents a methodology to guide transport professionals through the planning process of a bus network redesign, using Longueuil, Quebec, as a case study. Currently, Longueuil operates a door-to-door network, and the goal is to move to a transfer-based, high-frequency service while keeping the existing number of buses constant. A variety of data sources that capture regional travel behavior and network performance are overlaid using a GIS-based grid-cell model to identify priority bus corridors. A series of analyses to measure and quantify anticipated and actual improvements from the proposed bus network redesign are conducted, including coverage analysis, change in accessibility to jobs, and travel time analysis. Accessibility to jobs was the key performance measure used in this analysis and is presented as a useful tool for planners and transit agencies to obtain buy-in for the proposed plan. This methodology provides transport professionals with a flexible and reproducible guide to consider when conducting a bus network redesign, while ensuring that such a network overhaul maximizes the number of opportunities that residents can access by transit and does not add an additional burden to an agency’s operating budget.
The Safety of Pedestrian and Bicycle Travel in Minnesota: Inventory, Analysis, and Prospectus
(Minnesota Department of Transportation, Research Services Section, 2007-01) Krizek, Kevin; Poindexter, Gavin; El-Geneidy, Ahmed; Sanderson, Edward
As attention in transportation circles, increasingly focuses on encouraging pedestrian and bicycle travel, it is important that planning initiatives be informed about the safety aspects of these modes. However, recent research suggests a limited understanding of the features that affect the pedestrian and bicycle travel, particularly when it comes to safety. The report examines the information that is collected regarding pedestrian and bicycle crashes in Minnesota in comparison to other states and looks a new ways in which this data can be used increase knowledge of pedestrian and bicycle crashes. To do this exercise exploits a database of crash report information for all pedestrian and bicycle crashes in the State of Minnesota from 1998-2002. Our analysis examines general trends of pedestrian and bicycle crashes. In addition, we demonstrate that pedestrian crashes tend to occur in different locations than bicycle crashes. The final part of the paper focuses on developing a method to identify where pedestrian and bicycle crashes are more likely to occur, Poisson regression to identify the relationships between crashes and neighborhood attributes.
The Transportation Needs of Seniors
(2012) Wasfi, Rania A; Levinson, David M; El-Geneidy, Ahmed
Over 208,000 residents of Hennepin County, Minnesota are over the age of 55, a number that is sure to rise. This paper examines the transportation needs of the elderly in Hennepin County through a mail out-mail back survey of their existing travel behavior and their unmet needs. The survey had both demographic and attitude questions as well as a travel diary for recording actual trips and desired but untaken trips. We found that 87% of the sampled population feel they are independent travelers. Around 51% of the surveyed population indicated that they are transit users, 25% of them revealed their concerns about difficulties they are facing when using public transit. About 16% of transit users were concerned about waiting time for transit, while only 8% were concerned about the travel time. Only 15% of the surveyed population use paratransit. A large number of comments were received, which add qualitative flavor to the analysis that was conducted. Seniors recognize even if they are currently independent, that will not always be the case, and acknowledge they should plan.
Using Archived ITS Data to Improve Transit Performance and Management
(Minnesota Department of Transportation, 2007-10) El-Geneidy, Ahmed; Horning, Jessica; Krizek, Kevin
The widespread implementation of automated vehicle location systems and automatic passenger counters in the transit industry has opened new venues in transit operations and system monitoring. Metro Transit, the primary transit agency in the Twin Cities, Minnesota region, has been testing various intelligent transportation systems (ITS) since 1999. In 2005, they fully implemented an AVL system and partially implemented an APC system. To date, however, there has been little effort to employ such data to evaluate different aspects of performance. This research capitalizes on the availability of such data to better assess performance issues of one particular route in the Metro Transit system. We employ the archived data from the location systems of buses running on an example cross-town route to conduct a microscopic analysis to understand reasons for performance and reliability issues. We generate a series of analytical models to predict run time, schedule adherence and reliability of the transit route at two scales: the time point segment and the route level. The methodology includes multiple approaches to display ITS data within a GIS environment to allow visual identification of problem areas along routes. The methodology also uses statistical models generated at the time point segment and bus route level of analysis to demonstrate ways of identifying reliability issues and what causes them. The analytical models show that while headways are being maintained, schedule revisions are needed to in order to improve run time. Finally, the analysis suggests that many scheduled stops along this route are underutilized and recommends consolidation them.

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