Introduction: Planning Analysis Methods

Wang, Xinhao; Hofe, Rainer vom

doi:10.1007/978-981-15-2826-2_1

Cited by 2 publications

(4 citation statements)

References 10 publications

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“…Most literature concerned with planners’ usage of secondary survey data centers on the census. In finding that the Canadian Census was the dataset most likely to have been ever used by Canadian municipal planners in that over 90 percent selected it, with a variant of this census being the second most selected dataset, the results seem to concur with the assertions within prior literature regarding the importance of these datasets to planners (MacDonald 2008; Wang and vom Hofe 2007).…”

Section: Discussionsupporting

confidence: 75%

“…Planners use survey data in the form of primary or self-collected datasets, and survey datasets from secondary sources—often authoritative demographic datasets in the form of official statistics. The most important of the latter type is the census (Wang and Vom Hofe 2007). MacDonald (2006, 491) contends that using the U.S. Census of Population and Housing is “almost unavoidable for local planners [given that] the decennial census offers the only social and economic information that is spatially detailed and consistent across time and space, and available at minimal cost”.…”

Section: What We Know Of Survey Data Usage In Planningmentioning

confidence: 99%

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Survey Methods: How Planning Practitioners Use Them, and the Implications for Planning Education

Maguire

2021

Journal of Planning Education and Research

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This article is concerned with two aspects of how planning practitioners use survey-derived data; how planners integrate the limitations of survey questionnaires into practice, and the prevalence of such data within planning. Using a web survey ( n = 201) and interviews ( n = 18) of Canadian municipal planners, I find that survey data are heavily relied on, but many planners do not seem to be aware of cognitive biases when designing surveys, and those that are, have little knowledge of how they ought to mitigate them. To develop planners’ understanding of these biases and improve the survey data they collect, quantitative methods courses within planning curricula could respond by expanding beyond statistical analysis to incorporate survey design and “the total survey error approach” of survey methodology.

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Section: Discussionsupporting

confidence: 75%

Section: What We Know Of Survey Data Usage In Planningmentioning

confidence: 99%

Survey Methods: How Planning Practitioners Use Them, and the Implications for Planning Education

Maguire

2021

Journal of Planning Education and Research

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“…The work of [22] develops the hypothesis of economic base theory, enabling the economy to be classified into essential (basic) and nonessential (nonbasic) sectors. The distinction between core and noncore sectors is important for understanding a region's economy.…”

Section: Introductionmentioning

confidence: 99%

“…There are four analysis approaches in the literature: the location quotient (LQ), the assumptions method, the location quotient and the minimum requirements method [22]. The work of [24] developed the LQ as a tool that can be applied to position sectors as basic or nonbasic through a comparison of the sector's potential at the local level with its potential at the regional level.…”

Section: Introductionmentioning

confidence: 99%

Sectoral Assessment of the Energy, Water, Waste and Land Nexus in the Sustainability of Agricultural Products in Cameroon

Pemi,

Njomo,

Tchinda

et al. 2024

Sustainability

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To ensure sustainable production and consumption in the agricultural sector, it is necessary to assess the contribution of each element of the nexus in the agricultural production chain. The aim of this study is to make a quantitative and qualitative analysis of the contributions of each element of the energy, water, waste and land nexus to agricultural products. A composite method approach combining aspects based on an input–output model and location quotient (LQ) as well as competitive position is adopted. A database of nexus elements over a period from 2009 to 2018 is used for Cameroon, with ten regions considered. The results show proportions of around 0.42% energy, 67.88% water withdrawal, 11.91% harvested area and 97.81% waste for agricultural products. The geolocation of harvested areas shows that the largest portion is in the far north (1,373,829 ha) and the smallest is in Adamawa (224,038 ha). Maximum production is in the central region (4,334,095 tons) and the minimum is in the Adamawa region (915,841 tons). The central, littoral and west regions are more representative of agricultural products. The analysis of the competitive position of agricultural products contributes to a better orientation of national strategies for agricultural sustainability according to the existing potentials.

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Introduction: Planning Analysis Methods

Cited by 2 publications

References 10 publications

Survey Methods: How Planning Practitioners Use Them, and the Implications for Planning Education

Survey Methods: How Planning Practitioners Use Them, and the Implications for Planning Education

Sectoral Assessment of the Energy, Water, Waste and Land Nexus in the Sustainability of Agricultural Products in Cameroon

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