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University of Aberdeen 1st October 2010
DEVELOPING A CBA METHODOLOGY
FOR THE SCENARIO-BASED LAND-USE
IMPACT ASSESSMENT OF PROPOSED RAIL
INVESTMENTS IN THE LEIPZIG REGION
University of Aberdeen 1st October 2010Dr. EDA USTAOGLU JRC-IES Sustainability Assessment Unit, Ispra, Italy.
Dr. BRENDAN WILLIAMS School of GPEP, University College Dublin, Ireland.
Dr. LAURA PETROV Department of Environmental Science, Aarhus University, Denmark.
10th-12nd May, 2012
INPUT 2012: 7th International Conference
Informatics and Urban and Regional Planning
Cagliari, Sardinia
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University of Aberdeen 1st October 2010
Content
1. Introduction: Context & Contributions
2. The Leipzig Area
3. The MOLAND Model
4. Scenario Analysis from the MOLAND ModelUniversity of Aberdeen 1st October 20104. Scenario Analysis from the MOLAND Model
5. Scenario-Based Cost-Benefit Evaluation Process
6. Conclusions & Future Work
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University of Aberdeen 1st October 2010
Context & Contributions
University of Aberdeen 1st October 2010
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University of Aberdeen 1st October 2010
THE LEIPZIG AREA
� Leipzig had experienced an urban shrinkage process starting from the first half of 1990s.The reasons for this shrinkage process are: - a considerable migration to the Western Germany just after re-unification; - a massive suburbanisation; - a fall in birth rates and growth in death rates (Haase et.al. 2007; Florentin, 2008) University of Aberdeen 1st October 2010rates (Haase et.al. 2007; Florentin, 2008)
� In the early 1990s, the outer city became an attractive place for investors considering the absence of planning regulations and policies. The result has been dispersal of population to the countryside and outer skirts of the existing centre (Kroll et.al. 2010)
� Urban shrinkage process has slowed down in the beginning of 2000s due to small-scale immigration and an increase in birth rates. However, this new situation did not change the physical pattern of urban sprawl developed in the 1990s (Bontje, 2004)
� The physical infrastructure of Leipzig was designed for a larger population, and with urban shrinkage and population decline; this infrastructure has become considerably large for the current population
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University of Aberdeen 1st October 2010
MOLAND (Monitoring Land-use/Cover Dynamics)
• The MOLAND model utilises cellular modelling to the land cover-
which is named as cellular automata (CA) i.e. a set of transition
rules representing the compatibility of land-uses with each other
• The model developed for European urban areas experiencing
major urban change including the Leipzig and Dublin areas has University of Aberdeen 1st October 2010
major urban change including the Leipzig and Dublin areas has
two components including regional and urban land-use sub-
models
• Macro-level data such as GDP and population growth are inputs
for the regional sub-model, also affecting the land-use sub-model
which is run through a CA model
• Micro-model parameters i.e. neighbourhood effects,
accessibility, zoning, population, employment indicators etc. can
be utilised to explain the micro-level spatial issues
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University of Aberdeen 1st October 2010
Scenario Analysis from the Moland Model: Scenario 1: Hyper-Tech
Population & Economic Trends-steady population and economic growth
Spatial Development/Planning- New industrial developments occur between
Leipzig-Halle axis and other towns
- New residential developments are
encouraged in polycentric urban form
University of Aberdeen 1st October 2010Transport- Improvement of national roads
- Better links to the motorways and airport
extensions
Overall Trends- Rapid technology advance-economic growth
- Low environmental protection
- Passive management leading to peri-
urbanisation and ‘metro-polisation’ of rural
area
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University of Aberdeen 1st October 2010
Scenario Analysis from the Moland Model: Scenario 2: Compact Development
Population & Economic Trends-slight population and economic growth
Spatial Development/Planning- Increases in infrastructure construction (e.g.
demolished houses replaced by partly
housing, partly sports and recreational
activities)
University of Aberdeen 1st October 2010TransportLow investment in transportation
- Link to motorway Chemnitz
- Investment in fast railways to Munich,
Berlin and Erfurt (ICE)
Overall Trends- Moderate economic growth
- High environmental protection (Green ring
map)
- Fragmentation, social exclusion
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University of Aberdeen 1st October 2010
Key Impacts and Indicators for the CBAImpacts/Indicators* Suggested Indicators/Impacts for
the Present Study
Quantification of
Impacts
1. Direct Impacts of Transportation Infrastructure
Provision:
-Transportation Facility Land Values
-Development Costs/ Capital Investments
-Adjacent Property Values
Costs/ Capital Investments of
Transportation Infrastructure
Monetized Impact
2.Socio-Economic Impacts:
a. Land Development Impacts:
-Green Space Preservation
-Public Service Costs
Costs of Providing Public Services Monetized Impact
b. Transportation- Related Impacts:
- Savings in VehicleOperation Costs Savings in Vehicle Operation Costs Monetized Impact
University of Aberdeen 1st October 2010- Travel Time Savings
- Reduction in Risk of Accidents/Safety
- Comfort and Convenience
- Traffic Congestion Effects
Travel Time Savings
Savings in Accident Costs
Monetized Impact
Monetized Impact
c. Socio-Economic Development Benefits:
-Affordability (Housing)
-Affordability (Transport)
-Social Inclusion
-Socio-EconomicGrowth
-Land-Use/Transport Accessibility
-Area Property Values
Area Land Values Qualitative/Quantitative
Assessment
3. Transport Network Effects:
-Reliability/Quality of Transport Service
-System OperatingCosts
System Operating Costs Monetized Impact
4. Energy and Environmental Impacts:
- Energy Consumption
-Air/Noise Pollution Exposure
-Climate Change Emissions (Greenhouse Gas Emissions)
CO2 Emissions
Local Air Pollution
Monetized Impact
Monetized Impact
Adapted from: Janic (2003); Litman (2008)
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University of Aberdeen 1st October 2010
Some Examples from Impact/Indicator Data Requirements
1. Change in
Road Vehicle
Operation
Costs
For the calculation of the economic benefits (costs) associated with vehicle operating
costs, two types of data are required:
-Demand: the number of private vehicles (cars) making a particular origin-
destination trip for the hyper-tech scenario and the alternative compact
development scenario ( peak/off-peak traffic flow data for the baseline and
alternative scenarios)
-Vehicle kilometres-total change in vehicle kilometres from the local highway
network for the hyper-tech and compact development cases
University of Aberdeen 1st October 20102. Change in
Travel Time
Estimates related to;
-Travel time-change in travel time for private vehicles (cars) in peak/off-peak traffic
for the baseline hyper-tech and compact development scenarios
-Demand: peak/off-peak traffic flow data for the baseline and compact development
cases
3. Change in CO2
Emissions
-Total change in greenhouse gas emissions (i.e. CO2 , in particular) for the baseline
and compact development cases.
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University of Aberdeen 1st October 2010
Summary of Impact/Indicator Valuation
IMPACTS/
INDICATORS
IMPACT EVALUATION METHODS
Capital and
Operation Costs of
Rapid Rail Provision
Evaluation is based on local data availability.
-Capital cost items for Germany were specified in the Federal Transport Infrastructure Plan
2003
-Elements of rail operation costs for Leipzig refer to World Bank (2005) specifications
Costs of Providing
Public Services
Public service provision costs are case specific and could be identified as the:
‘costs of road construction, housing and community development, education, fire and police
protection, water and electricity distribution, sewerage, and social and recreational
facilities’. University of Aberdeen 1st October 2010facilities’.
Savings in Accident
Costs
The statistical value of human life (SVHL) has been determined using two methods:
Human capital : measures discounted loss of production due to the injury or death of the
individual member of the workforce
Stated preferences : estimates willingness-to-pay (WTP) values of individuals indicating
their preferences to reduce the risk of being injured or die in an accident
Forecasted Value of Accident Costs was computed for the Leipzig Area based on HEATCO
(2004) analysis.
Savings in Road
Vehicle Operation
Costs
Road vehicle operation costs are correlated with road design standard, road maintenance
strategy, environmental impacts, the composition of the traffic flow, and road
congestion. However, the operating cost relationships for road vehicles is
more generic and transferable between countries (HEATCO, 2004). This
study is based on the adjusted parameter values which are derived from
external sources.
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University of Aberdeen 1st October 2010
Summary of Impact/Indicator Valuation
IMPACTS/
INDICATORS
IMPACT EVALUATION METHODS
Travel Time Savings The cost saving approach, which considers wage rates as a measure of productivity loss or
gain by the labour force, is selected as a minimum approach for the valuation of work time
savings (Federal Statistical Office, 2010). For the non-work time valuation, the values
obtained from HEATCO (2004) can be considered for the Leipzig case. These values were
derived specifically for Germany for the year 2002 by utilising a meta-analysis approach.
Climate Change Costs related to the emissions of CO2 are evaluated on a global scale rather than location
specific evaluations. A cost factor reflecting the average shadow value will be used for University of Aberdeen 1st October 2010specific evaluations. A cost factor reflecting the average shadow value will be used for
valuing CO2 emissions (see Kuik et.al. 2007).
Local Air Pollution Considering the absence of local data concerning costs of local air pollution in the Leipzig
Region, this research utilised the country specific cost factors for Germany, which were
developed in one of the EU-projects (i.e. HEATCO, 2006) for the monetary valuation of
local air pollution.
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University of Aberdeen 1st October 2010
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Where St is balance of cash flow funds comprising flow of benefits, , and flow of costs, ; is discount factor, is
discount rate, and n is the evaluation period (see European Commission Final Report, 2008).
CBA Formula representing the Economic Net Present Value
Benefit-to-Cost Ratio (B/C): the ratio of the discounted aggregate net benefits (i.e. benefits University of Aberdeen 1st October 2010Benefit-to-Cost Ratio (B/C): the ratio of the discounted aggregate net benefits (i.e. benefits
minus costs) to the discounted investment costs[ ]
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University of Aberdeen 1st October 2010
Stages of Scenario-Based CBA Evaluation Process
University of Aberdeen 1st October 2010
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University of Aberdeen 1st October 2010
Conclusions
- In terms of sustainable urban development considerations,
dispersed development in the baseline hyper-tech scenario is less
desirable than compact development scenario since costs of such
development can be expected to exceed the benefits
University of Aberdeen 1st October 2010- In contrast, compact development policies could achieve
considerable benefits over the baseline hyper-tech scenario by
reducing the negative consequences of urban dispersal i.e. high
costs of public service provision, low accessibility to land-uses and
public transportation modes, increased transport-related
emissions, energy consumption and pollution
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University of Aberdeen 1st October 2010
Future Work
- The next stage in the research is to apply a CBA approach to the
scenarios chosen for the Leipzig Region in order to evaluate the two
scenarios of dispersed and compact developments.
- Considering data specifications outlined for the evaluation of the
prioritised impacts/indicators for the Leipzig Area, the related University of Aberdeen 1st October 2010prioritised impacts/indicators for the Leipzig Area, the related
parameters for the cost-benefit evaluation will be computed with a
final CBA result.
- A further application of this research is to compare the CBA results
of the Leipzig case with those of other European examples. This will
allow the CBA process be used as a policy support tool in discussions
of alternative development policies and investment decisions such as
compact and dispersed developments.
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University of Aberdeen 1st October 2010Thank you...University of Aberdeen 1st October 2010Thank you...