Finding a New Trolley Line for San...
Transcript of Finding a New Trolley Line for San...
Slope Generation and Classification For the suitability analysis to determine the best locations for new trolley stops, we used rasterized USGS 1-Arc second DEM data to generate slope and reclassified until the map showed suitable and unsuitable slope areas in vectorized form. We then weighted the layer and input it into the analysis.
1) Downloaded DEM from Cal Geoportal
website
2) Used “Slope” tool
3) Reclassified Raster Data until there were two discrete categories, <20%
slope and >20% slope
4) Used Raster->polygons tool
5) Added weights to Categories
6) Added to suitability analysis
Hannah Miller and Jeneya Fertel University of California, Berkeley LDARCH C188, Fall 2014 Section 104
Projection
California State Plane- Zone 6-NAD 1983 US Feet
Sources
SANDAG/SanGIS Data Warehouse www.sandag.org
California Geoportal http://portal.gis.ca.gov
ESRI Network Analyst Tutorial http://www.arcgis.com
Conclusion Our threefold analysis in search of the best new trolley line was extremely successful. Determination of slope and classification through Spatial Analyst, a suitability analysis to discover the best new stops for our objectives, and the calculation of the most efficient route have helped us put together a proposal for what we believe is one of the most important projects for San Diego’s future. Only a few difficulties were encountered during this project, such as finding the appropriate data, and a limited scope to the network analysis. However, our team worked day and night to discover the best solution possible. This new “purple line” would connect the airport, the downtown, the beach, and numerous other popular destinations, making the entire city more accessible to both residents and visitors. We believe that not only will this project encourage greater tourism, but it will also move San Diego towards becoming a more sustainable city, where comfortable and affordable public transportation can deliver you to some of the most amazing sites in the world.
Introduction The greater San Diego Metropolitan area stands as one of the most important regions in California. Its ever-growing population and vibrant and expanding business scene coupled with it’s magnificent natural setting along the California Coast make it a top destination for visitors from all over the world. San Diego offers a wide variety of tourist attractions including its renowned golden-sand beaches, its unique historical quarter, a world-class zoo, an internationally respected university, and a beautiful downtown full of top-ranking restaurants and hotels. There is truly something for everything in San Diego. However, as San Diego continues to grow as an international vacation destination, accommodating both residents and visitors to San Diego is a top priority for the city. Both MTS and SDTA believe that improved public transportation, especially among the top tourist attractions, is the next step in making San Diego the ideal destination for both visitors and residents.
Project Proposal and Client This project, commissioned through a joint effort by the San Diego Tourism Authority (SDTA) and the San Diego Municipal Transit System (MTS), sought to develop a new line for the local Trolley system to serve a vitally important and growing tourism business within the city, as well as an ever-increasing population. The Trolley System, which was first opened in 1981 has only three primary lines currently operating. The new line would connect top tourist attractions, the downtown, and the airport to promote ease of travel, and encourage exploration of the city.
To determine the best new route to expand the San Diego Trolley line in order to support the growing and extremely profitable tourism business, as well as improve general livability within the city, we conducted a suitability analysis on a list of tourist attractions and important community centers to determine the best locations to be stops on the new line. Part of the suitability analysis included the use of a Digital Elevation Model and generated slope. The third, and final procedure was a Network Analysis using the most suitable transit stop locations for the best possible route for the new line.
1) Add Shoreline, Water layers, current trolley line layer as well as San Diego Network found on the Arcmap Tutorial
2) Turn on Network Analysis and begin “New Route” analysis
3) Load selected locations from suitability analysis as stops
4) Choose distance as impedence field
5) Order stops geographically from North to South as the order of the line
6) “Solve” analysis with best route for new line
Image showing “Best Route” solution for selected stops on the new Trolley line as part of Trolley and general transportation network for San Diego
This image shos the vectorized map of reclassified slope data that originated from USGS DEM raster imagery. The green area shows slope <20% and thus suitable for construction of a trolley line. Most coastal areas where the potential stops are located are within the eligible areas.
Finding a New Trolley Line for San Diego
Suitability Analysis and Selection of Trolley Stops
Attraction/Facility
Suitability Score
Loews Coronado Bay Resort
5
Ocean Beach 6 Marriott Hotel-Coronado
6
San Diego International Airport
5
Sea World 5 Old Town 5 San Diego Zoo 7 San Diego Convention Center
6
Hard Rock Hotel
6
Network Analysis: Determining the Best Route The final step in the process of determining the best new trolley line was a network analysis of the Central San Diego Area. We used a “New Route” query with the 9 selected locations from the suitability analysis as the “stops.”
Final Result: Proposed “Purple Line”
Constraint or Opportunity
Buffer or Cutoff Weight
Slope >20% -1
Proximity to existing trolley line
500m -1
Proximity to fault lines
500ft -1
Proximity to tourist attractions from Tourist Attraction Shapefile
Travel time (2, 4, 6, 8, 10 minutes)
5, 4, 3, 2, 1
Proximity to police station
Travel time (<3 minutes)
1
Proximity to schools
500m 1
Opportunities Selected 24 tourist attractions in “Tourist Attraction” Shapefile
as facilities within network
Calculate service area for travel away from facility, merging
polygons at breaks
Export data as polygons and assign weights to polygons
Load police stations as facilities within
network
Calculate 3 minutes service area away
from facilities
Export data as polygons and assign weight to polygon
Load school point layer
Create 500m buffer around
schools
Dissolve buffers and assign
weight
Constraints Import DEM and use spatial analysis Slope
tool to determine slope
Reclassify slope to less or greater than 20%
Convert raster to polygons and assign
weight
Load layer of existing trolley lines
Create 500m buffer around trolley lines
Dissolve buffers and assign weight
Load layer of fault lines
Create 500ft buffer around fault lines
Dissolve buffers and assign weight