GIS spatial analysis · ODD assessment · Demand-weighted stop placement

Autonomous Shuttle Feasibility in Qingpu, Taoyuan

From identifying last-mile service gaps to designing three shuttle routes and a phased implementation strategy.

Project context

Qingpu combines planned urban development, major retail destinations and a multimodal transport hub. Taoyuan HSR Station and the Airport MRT connect regional journeys, while gaps in local bus access create a last-mile challenge. IKEA, Xpark, Gloria Outlets and Cathay Landmark generate trips alongside growing residential communities.

The report defines a circular study area with a 2km radius around Taoyuan HSR Station. It includes three rail stations and 74 bus stops. Buffers of 400m around those stops cover 77.9% of the area, leaving 22.1% more than 400m from the nearest stop.

This is an archived planning analysis, not a live transport service or an approved deployment. Figures below retain the original report snapshot. The interactive map retains its original map snapshot, which has some different counts and labels; the differences are explained below.

Analysis framework and method

  1. Confirm demand: use 400m buffers around 74 stops to quantify the coverage gap within the 2km core area.
  2. Locate gaps: divide the core into 200m cells, identify uncovered cells and weight residential and employment POIs to locate four proposed stops.
  3. Assess feasibility: screen road class, inferred width, speed limits and signalized intersections against an Operational Design Domain (ODD).
  4. Design routes: connect gap clusters to their nearest rail station using suitable road segments, then propose a phased rollout.

Analysis steps in maps

Step 1 · Confirm demand: existing bus stops and 400m service coverage.
Step 1 · Confirm demand: existing bus stops and 400m service coverage.
Step 2 · Locate gaps: uncovered 200m analysis cells and service-gap clusters.
Step 2 · Locate gaps: uncovered 200m analysis cells and service-gap clusters.
Step 3 · Assess feasibility: road suitability for autonomous shuttle operations.
Step 3 · Assess feasibility: road suitability for autonomous shuttle operations.
Step 4 · Design routes: three proposed shuttle routes linking rail stations and service gaps.
Step 4 · Design routes: three proposed shuttle routes linking rail stations and service gaps.

Source datasets

DatasetSource used in the reportCount
Bus stopsOpenStreetMap / Overpass API74 within the core
Road networkOpenStreetMap15,744 segments
Demand POIsOpenStreetMap / Overpass API1,802 residential + employment
Village boundariesOpenStreetMap (admin_level=9)13 villages
Airport MRT stationsOpenStreetMap3 stations
Walking-distance assumptions recorded in the original report

The report adopts 400m for stop access. Its reference comparison lists the US FTA at 400m (¼ mile), UK CIHT at 400m, Japan's Ministry of Land, Infrastructure, Transport and Tourism at 300–500m, and Taiwan's Ministry of Transportation and Communications at 400m. These are historical study assumptions, rather than a claim that every cited document mandates the same threshold.

Road requirements

The original study uses a 1–5 road suitability score. Road class, estimated width and speed conditions support corridor screening; a GIS screen still requires field validation before operations.

RequirementThreshold recorded in the studyReference named in the study
Lane width≥ 3.0mAASHTO Green Book
Intersection form≤ 4 approaches; signal-controlledEU INFRAMIX
Operating speed15–25 km/hInternational autonomous-shuttle trials
Gradient≤ 10%NACTO Urban Street Design Guide
Pavement qualityIRI < 4.0 m/kmFHWA pavement-condition indicators
Marking retroreflectivity≥ 100 mcd/m²/luxFHWA MUTCD

Higher scores favor secondary, tertiary and residential roads, estimated width ≥ 3.0m, and speeds of 15–50 km/h. Segments within 200m of service gaps are preferred for route selection. These screening speeds differ from the proposed operating-speed range above.

Coverage gaps and expected improvement

77.9%400m service coverage
22.1%Original gap share
4Proposed additional stops
15.1%Gap share after new stops

Of 344 grid cells, 76 (22.1%) fall in service gaps, mainly northwest, east and south of the core. Residential and employment POIs confirm demand in four gap clusters. Demand weighting shifts proposed stops toward the local demand centers.

The road assessment covers 1,075 candidate segments. Of these, 233 lie near service gaps and form the candidate set for shuttle corridors. Adding four stops covers 24 previously uncovered cells, a 31.6% reduction in gap cells. The three routes total 12.93km.

Service gaps overlaid with residential and employment POI demand.
Service gaps overlaid with residential and employment POI demand.
Road suitability scores: red = low, yellow = medium, green = high.
Road suitability scores: red = low, yellow = medium, green = high.
Proposed shuttle routes overlaid with candidate road segments.
Proposed shuttle routes overlaid with candidate road segments.
Coverage improvement after adding proposed stops: green cells indicate newly covered areas.
Coverage improvement after adding proposed stops: green cells indicate newly covered areas.

Three proposed shuttle routes

A · Residential shuttle

3.35km · Taoyuan HSR Station

Connects gap #1 and northwestern residential communities, including Baolai Garden and Prague Spring, for homebound HSR commuters. Proposed phase 1.

B · Employment shuttle

7.49km · Linghang Station

Connects gaps #3 and #2 with the eastern industrial area, including the Dajiang Industrial Park and 3M logistics center, and northern housing. Proposed phase 2.

C · Community shuttle

2.09km · Taoyuan Sports Park Station

Connects gap #4 with emerging southern communities and Qingtang Park. A compact route for lower-demand daily and recreational trips. Proposed phase 3.

The original report proposes route A first because it serves the HSR hub. It calls A the shortest route, but its own distances show C is shorter (2.09km versus 3.35km). This discrepancy is retained as a source limitation; phase priority is presented as the original proposal, not as a conclusion from route length alone.

Three shuttle route designs: red = route A, blue = route B, green = route C.
Three shuttle route designs: red = route A, blue = route B, green = route C.

POI demand validation

The report snapshot contains 1,802 POIs: 1,418 residential and 384 employment features. Stop placement combines 70% demand centroid with 30% gap geometry centroid, moving stops toward demand rather than relying solely on geometric centers. OpenStreetMap completeness limits the estimates; actual demand may be higher.

Proposed stopPOIs within 800mShift from gap centerRoute
#132237mA
#2184231mB
#3172130mB
#438339mC
Residential POI distribution: service gaps and residential demand locations.
Residential POI distribution: service gaps and residential demand locations.
Employment POI distribution: service gaps and employment demand locations.
Employment POI distribution: service gaps and employment demand locations.

Interactive analysis map

Click the map to activate dragging and zooming. Use the layer control to inspect bus stops, service buffers, gap cells, road suitability, demand POIs and the proposed routes. Hover over roads or cells and click stops to inspect attributes.

Open full-screen map ↗

Historical map and report snapshot differences

The map's POI layer labels list 1,934 residential and 725 employment features, while the report uses 1,418 and 384 in the core study area. Their original extraction extents and versions have not been reconciled. The map's core outline is a 2km road-network reach area; the report describes a 2km circular area. Route popups retain mean ODD scores of 5.6, 6.8 and 6.2, which cannot be interpreted on the report's stated 1–5 scale without reviewing the original scoring code. Route C's popup lists gaps #5 and #4 while the report lists #4. All source geometries and numerical attributes are preserved; these discrepancies have not been silently corrected.

Dataset place names use Mandarin romanization where no English name was recorded. These transliterations are display aids and do not claim to be official English names. The basemap retains its provider attribution.

Implementation strategy

Moving from GIS results to a pilot requires field checks, agency coordination and staged validation. Proposed work includes on-site verification, HD map and LiDAR surveying, right-of-way coordination, regulatory applications, route A trial operations and KPI collection, followed by routes B and C if operating evidence supports expansion.

Stakeholder identified in the original studyProposed role
Taoyuan Department of TransportationRoad-use approval and bus-network integration
Ministry of Economic Affairs unmanned-vehicle officeExperimental-program application coordination
Dayuan District Office and village officesResident engagement and local coordination
Autonomous vehicle vendorsHD mapping and vehicle deployment
HSR agencies and Taoyuan MetroStation transfer arrangements
Nearby retail destinations, including Gloria Outlets and IKEAWaiting areas and trip generation

Risks and responses

  • Uncertain regulatory timelines: prepare applications early and coordinate with the responsible agencies.
  • Resident concerns: hold local discussions and test-ride events.
  • Road construction: plan alternative segments and retain route flexibility.
  • GIS and field differences: validate the analysis through site visits before deployment.

The proposed coverage target is a reduction in the gap share from 22.1% to 15.1%. The implementation sequence remains a planning proposal, with no claim that a pilot has been operated.

Historical references and data provenance

The original analysis names the following references. They document the study's historical basis; this English edition does not claim to have downloaded updated datasets or revalidated current regulations.

  • TCRP Report 165 (2013); FTA Circular 4702.1B (2012).
  • CIHT, Planning for Walking (2015).
  • Japan Ministry of Land, Infrastructure, Transport and Tourism, Handbook for Evaluating Urban Structure (2014).
  • Taiwan Construction and Planning Agency, Urban Roads and Ancillary Works Design Standards.
  • Taiwan Ministry of Economic Affairs, Unmanned Vehicles Technology Innovative Experimentation Act (2018).
  • AASHTO Green Book; EU INFRAMIX; NACTO Urban Street Design Guide; FHWA MUTCD and pavement-condition indicators.
  • OpenStreetMap / Overpass API: bus stops, roads, POIs and village boundaries.
  • OSRM: route-planning engine.
  • Taiwan Department of Household Registration, RIS OpenData API: population statistics.
  • Government open-data platforms and the Ministry of Transportation and Communications PTX platform are listed in the original study's historical source credits.

Tools recorded in the study: Python, GeoPandas, QGIS and Folium, with ODD screening and demand-weighted stop placement.