CROSS-COUNTY CORRIDOR - MTIA (Continued) 6.0 EVALUATION OF PHASE II STRATEGIES The evaluation of the ten Phase II Strategy Sets has followed the general guidance
of the U.S. Department of Transportation's (USDOT) Major Investment Study guidelines.
These USDOT guidelines view each of the alternative strategies from four perspectives - effectiveness, financial feasibility, cost-effectiveness, and equity. At the same time, it has been a major focus of this study to continually evaluate the alternatives in light of the locally identified problems within the Cross-County Corridor. Thus, each strategy has been rated by how well it addresses the problems identified earlier in the study, and by how well it deals with the related issues identified by the public.
Based on the problem identification process of Phase I of the study, a set of eleven categories were established for evaluation of the strategy sets. These categories are: Community and Regional Viability Traffic Congestion Accessibility
Mobility Neighborhood Concerns Noise and Air Quality Natural Environment Safety Security Financial Feasibility Cost-Effectiveness Equity
Within these eleven evaluation categories, a total of 50 individual measures were established to rate each of the strategy sets. These individual measures are
contained in the comparative matrices presented in Section 9 of Technical Memorandum No. 6,Evaluation and Comparison of Alternatives. (A complete listing of all of the Technical Memoranda prepared as a part of the Phase 2 analysis is contained in Appendix A at the rear of this report.) The following paragraphs describe the general process and methodology for computation of these individual measures. 6.1 TRAVEL FORECASTING Travel demand forecasts for this study have been developed using the regional transportation model sets of the East-West Gateway
Coordinating Council. These models follow the standard four-step urban transportation planning process of trip generation, trip distribution, modal choice, and route assignment. The modeling process is similar to that used in most other major metropolitan areas for urban transportation planning. This same basic model has previously been used for the St. Louis Transit Systems Analysis (1987-91), the St. Clair County AA/DEIS (1991-94), the St. Charles County AA/DEIS (1994-95), and the St. Clair
County FEIS (1996), thereby providing relative consistency in the approach to transportation demand forecasting. 6.1.1 EWGCC Model The
particular software used for the demand modeling process is MINUTP, Version 96A, which was introduced in 1996. The highway portion of the EWGCC model was last validated in November, 1992, with supplemental changes occurring as recently as October, 1994. The most recent changes expanded the highway network to a total of 1,066 zones, and the model now includes all of the St. Louis region, including the city of St. Louis and St. Louis County, St. Charles, Franklin, and Jefferson counties in
Missouri, and St. Clair, Madison, and Monroe counties in Illinois. The No-Build highway network for the year 2015 assumed that the following major Missouri highway projects would be completed: Page Avenue Extension limited access facility from I-270 to Route N in St. Charles County; Route 370 Extension limited access facility from I-270 to I-70 in St. Charles County; and Route 141 limited access facility from I-64 to Route 30. As part of the modeling effort for this study, a considerable amount of additional detail was added to the highway network, particularly for the freeway interchanges within the study area, to support a more detailed investigation of the effects of improvements to these interchanges. The transit model was last updated in January, 1995, for the St. Charles County AA/DEIS. The current study has included coding and validation of a new transit network to provide a node structure that is consistent with the current highway network.
The transit network for the No-Build scenario assumes that only those major capital projects already committed will be built, and thus includes only the St. Clair County extension of MetroLink. No other MetroLink extensions (including St. Charles) are presumed to be part of the No-Build scenario, nor are any of the Commuter Rail projects under study by the Bi-State Development Agency included. Several refinements to the model's trip generation module have been proposed by this study to improve the accuracy of the model. The refinements include adding special trip generation rates for major colleges and universities, major shopping malls, major hospitals, and Lambert International Airport. These changes have been approved and adopted by EWGCC. In keeping with Federal Transit Administration guidelines for analysis of transit alternatives, trip distribution will only be run one time - for the base case TSM forecast - and the resulting person-trip distribution will be used for projecting travel demand for all alternative strategy sets. Hence, the model will not take into account any potential induced trip-making which could result from enhanced
accessibility. Likewise, the model does not allow any changes to the future land use or employment projections that might be induced to occur with implementation of any of the strategies. The models used in this study were validated to actual 1994 traffic counts and transit patronage, using an interpolation of the 1990 and 1996 socioeconomic data sets as
input. 6.1.2 Land Use and Socioeconomic Data EWGCC also supplied their files of socioeconomic data for use in the model. Separate
files of land use and demographic data for the years 1990, 1996, and 2015 were provided. All future year projections in this study, including assumptions about the future distribution of employment in downtown St. Louis, Clayton, and other portions of St. Louis County, were based on the EWGCC's current regional demographic projections for the year 2015. These projections were prepared independently by EWGCC, for use in all regional transportation planning studies. 6.1.3 Future Travel Demand Estimates As with any mathematical model that attempts to predict human behavior twenty years in the future, a range of uncertainty is inherent in the process. It is, though, generally accepted in the planning profession that models such as the
urban travel demand model used in this study provide a reliable and effective comparison of the relative differences among an array of alternative transportation strategies, and also provide the best available source of projections of absolute levels of travel by the various modes. All of the transportation improvements considered as a part of this
study were modeled only as elements of a complete strategy set package. Because of the interrelationship of the various discrete strategies and their effects on each other, each individual discrete strategy was not modeled as a distinct solution. Rather, each strategy set was modeled as a distinct alternative system that would account for all of the interrelationships. Output from the model includes a wide variety of statistical travel data projected to occur with each of the alternative strategy sets. Regional, county, district, and corridor-level summaries of trip-making are included, as well as total person trips, transit person trips, and mode shares. All summaries reflect stratification by trip purpose and, for transit trips, also include stratification by access mode. Highway travel projections include estimates of vehicle
miles traveled, vehicle hours of travel (free-flow and congested), and congested travel speeds. Peak period and daily link volumes are also available for select roadways within the corridor. Supplemental transit data includes mode-specific tabulations of daily ridership, peak line volumes, and station boardings and alightings. 6.2 TRANSPORTATION IMPACTS Transportation impacts resulting from changes to the regional transportation system that would occur with each of the ten alternative strategy sets were analyzed using the EWGCC regional travel demand model described above. The model produces a wide range of statistics regarding projected travel, and a number of these were selected
for use in this analysis. Since this study examined a variety of modes, statistics relevant to person-travel regardless of mode were used wherever possible. These statistics, or "performance measures", were used to evaluate how effective each strategy is in addressing the problems and issues identified in the study area. 6.2.1 General Transportation Measures A variety of statistics relevant to all modes were extracted from the model results to provide indicators of how each strategy set addresses the problems of traffic congestion, accessibility, mobility, safety and security, and community and regional viability. In several instances, measures were selected that focus on trips between specific locations. These locations
were chosen for a variety of reasons, including their importance in the study area, their direct relationship to specific problems identified in the scoping process, and their ability to be representative of a large number of similar trips. Obviously many other origin-destination pairs could have been selected for this evaluation. The study team believes that those used present a balanced, representative reflection of the transportation impacts of the strategy sets. The transportation
measures relevant to all modes used in the comparative analysis are presented below. Detailed definitions of the measures and their actual values for each strategy set are presented in Section 9 of Technical Memorandum No. 6, Evaluation and Comparison of Alternatives. Person-Hours of Travel and of Delay Mode Split
Weighted Average Travel Time from Major Employment Centers Weighted Average Travel Time from Major Shopping Centers Weighted Average Travel Time from Other Major Attractions Travel Times Between Selected Zone Pairs Weighted Average Travel Time for Peak Period Trips to Clayton and Downtown St. Louis CBDs
6.2.2 Mode-Specific Transportation Measures
In some instances, the problems identified in the problem definition process were of necessity mode-specific. For these problems, mode-specific measures were selected to evaluate how the strategies address those problems. These measures are:
Freeway and Arterial Lane-Miles at Level-of-Service E or Worse Vehicle-Hours of Travel Vehicle-Miles of Travel Vehicle-Miles of Travel By Road Classification Percent of Vehicle Miles Traveled on Limited-Access Roadways Changes in Proportion of Rail Transit vs Bus Boardings
Average Transit Travel Times Weighted by % of Low Auto-Ownership Households 6.2.3 Other Transportation Measures In
addition to the evaluation measures listed above, a number of other measures were used to assess the effectiveness of the transportation solutions. A number of these transportation measures were not derived from the output of the transportation demand models. These non-model transportation measures included the following: Peak Hour Person-Carrying Capacity in the Corridor
Ease of Increasing Capacity Within the Corridor Improves Access to the Regional Highway System Rail Transit Access to Major Destinations Disruption During Construction Elimination of Hazardous Features
The actual value of key transportation measures for each of the strategy sets and for select
discrete strategies are presented in Section 7 of this report. 6.3 COST ESTIMATES 6.3.1 Capital Cost Estimating Methodology Generally, capital cost estimates were developed by identifying major construction items or system components, developing unit costs for each, and applying those unit costs to the estimated quantities of each major item or component. One-time "soft" costs for engineering, administration, construction management and supervision, legal and insurance
expenses, and similar items necessary for completion of construction were also included. These costs were estimated as a percentage of the total construction cost. Highway-specific capital cost estimates were based on unit costs for a variety of items within six major component categories. These major categories were site preparation, pavement, structures,
interchanges, land acquisition, and miscellaneous items. Unit costs were drawn from recent Missouri Department of Transportation cost data. A contingency of 30% was added to all of the major cost elements, including right-of-way. Transit capital costs were based on historic unit costs escalated to 1996 dollars for particular types of LRT alignment, such as
at-grade, below-grade, on structure, etc. These unit costs were estimated on a per-mile basis, and included provision of trackwork, traction power, signals and communication, and utility relocation. Unit costs for a total of 29 different types of alignment were used. Station costs were estimated on a lump sum basis by type of station, for nine different station types. Right-of-way costs were estimated on a parcel-by-parcel basis based on the type of improvements on the property, and on
a per-mile basis along the alignment for standard legal and acquisition costs. Costs for LRT vehicles were based on recent purchase prices for the current MetroLink vehicles. The number of cars was estimated as the total needed to operate two-car trains at the peak period headway plus 15% spares. Yard and shop capital costs were estimated as a linear function of the number of new vehicles, at the pro-rata share of the cost of a facility that would service a 50-car fleet. A contingency
percentage of 20% was added to all construction items. A contingency of 50% was used for right-of-way estimates, and 10% for vehicle costs. The resulting capital cost estimates are presented in Section 4 of Technical Memorandum No. 6, Evaluation and Comparison of Alternatives. 6.3.2 Operating Cost Estimating Methodology Highway operating and maintenance unit costs were obtained from the Missouri Department of Transportation and from St.
Louis County and City. Patrol costs were obtained from the Missouri Highway Patrol. Major cost components included pavement, shoulders and approaches, drainage, bridges, snow and ice control, traffic signals, and miscellaneous (including equipment and labor salary-related expenses). Operating costs for rail transit were based on the Operating Cost Model
developed for the St. Louis light rail transit system as used previously for the St. Clair and St. Charles MetroLink extension studies. The principal cost components include operations, maintenance of equipment, maintenance of way, and general and administrative expenses O&M cost estimates for each of the strategies are presented in Section 5 of
Technical Memorandum No. 6, Evaluation and Comparison of Alternatives. 6.3.3 Financial Feasibility Measures A number of evaluation measures were developed to examine the capital and operating costs and cost-effectiveness aspects of
each of the strategy sets. These measures include the following: Capital Cost Annual Operating and Maintenance Cost Annualized Life-Cycle Cost Per Reduced Person-Hour of Travel Annualized Life-Cycle Cost Per Reduced Travel Delay Annualized Life-Cycle Cost Per New Daily Transit Rider Annualized Cost to Society
These measures are defined in Section 9 of Technical Memorandum No. 6,Evaluation and Comparison of Alternatives. 6.4 SOCIAL, ECONOMIC, AND ENVIRONMENTAL IMPACTS
An analysis of the social, economic, and environmental effects of each of the discrete transportation strategies was conducted to identify the potential for significant impacts, as well as the potential for significant differences in impacts between
alternative strategies. Wherever possible, impacts attributable to each individual strategy were quantified, and then aggregated to show the cumulative impact of the combined strategies in each Strategy Set. 6.4.1 Relationship to NEPA Environmental Analysis The study process of this Major Transportation Investment Analysis was structured to precede the detailed environmental analysis that would be conducted for an environmental impact statement. Those strategies selected for further development following Phase II of this study, and for which federal funding will be sought, will be subjected to the detailed environmental analysis required by NEPA. This approach is consistent with the conceptual level of detail to which the alternative strategies have been developed; in most instances in the current MTIA, the engineering detail necessary to support an EIS-level environmental analysis simply does not exist, and will be developed only in the preliminary engineering phase, following the MTIA.
6.4.2 Impact Areas The discrete strategies were evaluated in each of the particular disciplines of environmental analysis to identify if that strategy presented a "fatal flaw" or other major impact that would be
sufficiently significant to affect the MTIA decision-making process. The specific discipline areas investigated included the following: land use plan compatibility land acquisition and displacements economic impacts neighborhood impacts historic or cultural resources noise air quality
wetlands floodplains special habitats
The methodologies employed to conduct these evaluations have been presented in Technical Memorandum 5A, Social, Economic, and Environmental Methodologies. These impact areas include several of the evaluation categories used in the comparative analysis, such as Community and Regional Viability,
Neighborhood Concerns, Noise and Air Quality, the Natural Environment, and Equity issues. The following measures are defined in detail in Section 9 of Technical Memorandum No. 6,Evaluation and Comparison of Alternatives. Number of New Transit Stations Reduction of Vehicular Traffic in Residential Neighborhoods
Non-Auto Trip % and Reduction in VMT on Lower-Classification-Roadways Enhances Major Employment or Business Centers Fosters Redevelopment of Underutilized Areas Effect on Community Tax Base Businesses Displaced Dwelling Units Displaced Net Park Area Lost Number of Community Facilities Displaced Number of Residences Taken Generates Traffic in Residential Areas Neighborhood Aesthetics Impact on Historic or Cultural Sites Noise Impacts
Emission of Air Pollutants Impact on Streams Protected Species Floodplain impacts Weighted Average Travel Time for Non-Car-Owners Low Income Residential Relocations as a Percentage of Total Relocations
6.5 FINANCIAL ANALYSIS The financial analyses conducted as part of this study examined the ability of existing financial resources to meet the capital, operating, and maintenance costs of the several strategy sets under consideration. These analyses also identified and evaluated potential new revenue sources, and developed
financial plans for the construction and operation of the strategy sets. As part of this analysis, the financial capacities of both MoDOT and Bi-State were reviewed. 6.5.1 Funding Sources Financial analysis for the study included a review of
all potential funding sources. These included federal, state and local government, and other local funding sources. Federal sources have historically provided the greatest share of funding for transportation construction, and have heretofore provided that assistance on a relatively mode-specific basis. The Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA) has greatly increased the flexibility with which local transportation officials can use federal funds between
the highway and transit modes. At the same time, recent public sector budget pressures have limited the amount of federal funding available, particularly for transit projects. Another factor affecting potential federal transit funding is the current federal practice of funding only one major rail transit project at a time in a single metropolitan area. With
federal funds currently committed to the St. Clair County MetroLink extension to Belleville Area Community College, a continuation of that practice would make it unlikely that significant FTA funding would be available for another MetroLink extension until after completion of the St. Clair County extension construction, currently estimated for June, 2001. The
availability of federal highway funding is somewhat more predictable. The analysis has considered the federal highway funding expected to be available to the state of Missouri, and the portion of that expected to be available to the St. Louis region. Highway requirements in the other parts of the St. Louis region outside the Cross-County corridor will of course be competing for a significant portion of those available funds. The exact portion of the regional share that can be devoted to
Cross-County projects will be a local political decision. The principal local funding source for transit projects is the County Public Transit Sales Tax Trust Fund, or "Proposition M". This quarter-percent sales tax is expected to generate a combined total of approximately $36 million annually from St. Louis County and the city of St. Louis.
6.5.2 Implementation Schedules A wide variety of factors can influence the schedule for implementation of the alternative strategy sets under consideration. In fact, because each strategy set contains several separate modal elements, each with
their own implementing agency, the actual implementation schedules will in all likelihood ultimately be developed independently once a decision is made to proceed with a particular package. Other factors that will influence the implementation schedule will be the availability of funding, design/construction options (whether conventional or design-build), and whether or not federal funds will be used in the project. Capital cost estimates for the various strategy sets under consideration range from several hundred million dollars to over two billion dollars. For combinations of projects of that magnitude, staging of projects may be necessary over more than a ten-year period. With the development of projects using entirely local funds, it is likely that essentially the same level of planning and environmental analysis
will be conducted, but the sometimes lengthy federal process of document review and approval may be shortened considerably if only local approvals are required. Another issue potentially affecting implementation schedules is the interrelationship of multimodal projects within the same general corridor. There may be significant cost efficiencies to be obtained by coordinating construction, as well as minimization of construction disruption. 6.5.3 Financial Feasibility For each of the strategy sets, a reasonable implementation schedule was developed in light of the funding anticipated to be available. These schedules are based on presumptions by the Study Team regarding the percentage of regional
transportation dollars that could be dedicated to the Cross-County Corridor in light of the competing interests in the rest of the region. All of the strategy sets were estimated to cost less than the total transportation funding available to the region over the next 19 years (1997 - 2015). For the most expensive sets, difficult political decisions will need to be made regarding transportation priorities in the region, and it will be necessary to draw out the implementation schedule over a
greater period of years. 6.5.4 Financial Feasibility Measures A number of evaluation measures were developed to rate the financial feasibility of each of the strategy sets. These measures are the following: Percentage of Anticipated Regional Transportation Funding Required Feasibility of Alternative Revenue Sources Potential for Private Sector Participation
These measures are defined and quantified in Technical Memorandum No. 6, Evaluation and Comparison of Alternatives.
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