title: Experimental designs for environmental valuation with choice-experiments: A Monte Carlo investigation

authors: Ferrini, Silvia

subjects: logit experimental design

abstract: We review the practice of experimental design in the environmental economics literature concerned with choice experiments. We then contrast this with advances in the field of experimental design and present a comparison of statistical efficiency across four different experimental designs evaluated by Monte Carlo experiments. Two different situations are envisaged. First, a correct a priori knowledge of the multinomial logit specification used to derive the design and then an incorrect one. The data generating process is based on estimates from data of a real choice experiment with which preference for rural landscape attributes were studied. Results indicate the D-optimal designs are promising, especially those based on Bayesian algorithms with informative prior. However, if good a priori information is lacking, and if there is strong uncertainty about the real data generating process - conditions which are quite common in environmental valuation - then practitioners might be better off with conventional fractional designs from linear models. Under misspecification, a design of this type produces less biased estimates than its competitors.

text: Experimental designs for environmental valuation with choice-experiments: A Monte Carlo investigation We review the practice of experimental design in the environmental economics literature concerned with choice experiments. We then contrast this with advances in the field of experimental design and present a comparison of statistical efficiency across four different experimental designs evaluated by Monte Carlo experiments. Two different situations are envisaged. First, a correct a priori knowledge of the multinomial logit specification used to derive the design and then an incorrect one. The data generating process is based on estimates from data of a real choice experiment with which preference for rural landscape attributes were studied. Results indicate the D-optimal designs are promising, especially those based on Bayesian algorithms with informative prior. However, if good a priori information is lacking, and if there is strong uncertainty about the real data generating process - conditions which are quite common in environmental valuation - then practitioners might be better off with conventional fractional designs from linear models. Under misspecification, a design of this type produces less biased estimates than its competitors.

year: 2005-12

title: Influencing driver behaviour through road marking

authors: Baas, Peter H.

subjects: driving

abstract: This paper will describe how road marking can be used to influence driver behaviour in order to improve road safety and traffic flows. Extensive use will be made of examples from recent research undertaken by the authors on overtaking lane design, speed change management, managing speed around curves and improving the safety of high risk sections of roads. This research included both on-road and driving simulator-based measurements. The concept of self explaining roads and what is required to implement it will also be described.

text: Influencing driver behaviour through road marking This paper will describe how road marking can be used to influence driver behaviour in order to improve road safety and traffic flows. Extensive use will be made of examples from recent research undertaken by the authors on overtaking lane design, speed change management, managing speed around curves and improving the safety of high risk sections of roads. This research included both on-road and driving simulator-based measurements. The concept of self explaining roads and what is required to implement it will also be described.

year: 2005

title: Planning for the protection and enhancement of marine environments' wellbeing

authors: Barnsdall, Aaron

subjects: marine

abstract: The wellbeing of marine environments has a direct relationship with the types of whenua (land, placenta) use and management practices that go from the mountains to the sea. In Aotearoa, activities that are carried out in this land-marine interface, including those related to Nature-based Solutions (NbSs), are regulated by national, regional, and district policies (e.g., New Zealand Coastal Policy Statement, regional plans, and district plans). However, due to its novel character, not all current policies account for the realisation of NbSs nor are NbSs’ potential for addressing the wellbeing of our marine environments well understood.

This dissertation focuses on Tauranga Moana (the seas of Tauranga) as the chosen locality for the case study area, to:

i) investigate how the Ngapeke 7 Trust’s community participants in the Ngāti Pūkenga area of Tauranga Moana understand and value NbSs for addressing the wellbeing of their marine systems; and,
ii) review current planning policies and mechanisms to identify barriers, enablers, and gaps that support or hinder the implementation of NbSs in Tauranga Moana, observing through a Kaupapa Māori lens.

Findings emphasize that integrating mātauranga Māori and Māori Ecological Knowledge (MEK) with scientific knowledge offers a holistic approach to environmental management, enhancing decision-making, education, and policy. Key Māori values, including whakapapa, mauri, and kaitiakitanga, are central to this approach.

The research identifies gaps in policies regarding NbS realization and a need for greater understanding of NbS potential and Māori perspectives. Implications include the necessity of integrating MEK into environmental practices and policies, and the value of NbSs for effective and equitable environmental outcomes. Limitations include sample size and scope, which focused on the Ngapeke 7 block. This research contributes valuable insights for environmental planning and management by centring mātauranga Māori and values in NbS implementation for marine health.

text: Planning for the protection and enhancement of marine environments' wellbeing The wellbeing of marine environments has a direct relationship with the types of whenua (land, placenta) use and management practices that go from the mountains to the sea. In Aotearoa, activities that are carried out in this land-marine interface, including those related to Nature-based Solutions (NbSs), are regulated by national, regional, and district policies (e.g., New Zealand Coastal Policy Statement, regional plans, and district plans). However, due to its novel character, not all current policies account for the realisation of NbSs nor are NbSs’ potential for addressing the wellbeing of our marine environments well understood.

This dissertation focuses on Tauranga Moana (the seas of Tauranga) as the chosen locality for the case study area, to:

i) investigate how the Ngapeke 7 Trust’s community participants in the Ngāti Pūkenga area of Tauranga Moana understand and value NbSs for addressing the wellbeing of their marine systems; and,
ii) review current planning policies and mechanisms to identify barriers, enablers, and gaps that support or hinder the implementation of NbSs in Tauranga Moana, observing through a Kaupapa Māori lens.

Findings emphasize that integrating mātauranga Māori and Māori Ecological Knowledge (MEK) with scientific knowledge offers a holistic approach to environmental management, enhancing decision-making, education, and policy. Key Māori values, including whakapapa, mauri, and kaitiakitanga, are central to this approach.

The research identifies gaps in policies regarding NbS realization and a need for greater understanding of NbS potential and Māori perspectives. Implications include the necessity of integrating MEK into environmental practices and policies, and the value of NbSs for effective and equitable environmental outcomes. Limitations include sample size and scope, which focused on the Ngapeke 7 block. This research contributes valuable insights for environmental planning and management by centring mātauranga Māori and values in NbS implementation for marine health.

year: 2025-04-16