<p>Many cities around the world struggle with the presence of vacant and underutilized land in the urban environment. There is growing momentum across many municipal jurisdictions in North America to reuse public and privately held vacant and underutilized urban land on a temporary to potentially permanent basis for community-based projects; however, there are limited community-based tools available to assess the suitability of vacant land for potential reuse.</p> <p>This thesis presents three papers (Chapters 2-4) that describe the development and application of a prototype community-based decision support tool (PDSS), developed in Microsoft ExcelÒ. The PDSS provides a methodology for evaluating up to fifteen community-based reuse strategies across three green infrastructure categories: parks, urban food production, and stormwater/ecosystems management. The PDSS aids in deriving community-focused goals, objectives and solutions for the efficient reuse of vacant and underutilized land.</p> <p>The PDSS includes a vacant and underutilized land inventory for identifying and inventorying the physical and spatial attributes (i.e. location and condition) of vacant and underutilized land across the urban environment (VULI); a methodology for quantifying the suitability of vacant land for a suite of reuse strategies (SSI); a multi-objective, binary-integer programming formulation for the allocation of reuse strategies across the urban environment (LOCAL), and a tool for municipal green infrastructure investment decision-making (DECO).</p> <p>The information derived from VULI and SSI can be used by community groups to help articulate the inherent potential of these spaces for future reuse. If this methodology was adopted at the municipal level, the prototype tool has the potential to expedite applications to reuse city-owned lands on a temporary basis. LOCAL provides a methodology to facilitate the allocation of multiple reuse strategies to a single parcel, to achieve a mix of green infrastructure uses at each site, and provides users with the ability to readily generate “what-if” scenarios based on user-specified allocation constraints. DECO can be utilized to design and investigate material alternatives, maintenance schedules, and different cost regimes, which can be useful for construction and long-term preventative maintenance decision-making. Finally, the results of a tree growth-stormwater attenuation modeling exercise are presented (Chapter 5). The methodology and results presented aid in articulating the stormwater attenuating benefits of trees that are planted on a temporary basis on vacant land.</p> / Doctor of Philosophy (PhD)

摘 要 目前我國地價制度是以公告土地現值為核心，但現行公告土地現值嚴重偏離市價，區段內各筆土地相對值極不合理，以此作為課稅稅基及徵收補償的依據，違背賦稅公平原則，為避免稅負漏損，落實漲價歸公，並於土地徵收時作到完全補償，讓公告土地現值趨近於市價，是現階段政府平均地權土地政策「價」的目標。 本研究即以此為論述出發點，從房地總價分離地價的根本查估問題導入，房地分離地價雖是現行公告土地現值查估最重要的價格來源基礎，但因公告土地現值掺雜了素地價和房地分離地價，造成「價」的定位不清、性質不明。經本研究實證結果發現，素地價格區間值相對於房地分離地價是較穩定且乖離率較低，房地分離地價會因建物存在狀態不同而異，且求算過程易受三個貢獻學說爭議的影響，不若素地地價單純，分離地價因含有超額利潤，有重複課稅之嫌，故公告土地現值及基準地價應以定位為「素地價」為宜。 採聯合貢獻所分離出來的地價較採土地貢獻分離地價，更接近素地地價，且與周邊的地價較為均衡，因此房地價格的分離方式應以聯合貢獻說較為合理。現行地價調查估計規則條文過於簡陋，應徹底修訂和不動產估價技術規則接軌，將房地分離方式納入聯合貢獻說的運用，採聯合貢獻分算房地價格時，分算基礎應以含間接成本的建物成本價格為宜，且不動產估價技術規則有關房地分離的相關法規，應予整合統一，房地分離估價方法定義、房地價值比率求算方式，應予明訂。 本研究建議採「價稅分離」，將公告土地現值功能用途單純化，使不同需求之地價回歸其功能目的，讓地政機關查估地價得以切實反應市價。並持續推動基準地地價查估制度，基準地查估不但具有個別宗地估價之精確度，又不失大量估價之方便性，亦能使公告土地現值更趨近於市價，應可改善現行公告土地現值查估制度的諸多缺失。 關鍵字：房地價格分離、公告土地現值、基準地、素地價、區段地價 / Currently, the core of the land value system in Taiwan is based on the Announced Current Land Value(ACLV). However, the ACLV deviates from the market value and the relationship between each parcel of land within the Land Value District is not reasonable. If the ACLV becomes part of the tax base and the foundation for compensation when the land is expropriated, it would be against the fairness and equity principle of taxation. In order to prevent tax loss, put the “Land Increment to the Public” into reality, compensate to the fullest when expropriation, the current goal of the Equalization of Right, the “Land Evaluation” of the land policy by the government is to make the ACLV approximating to the market value. Based on those issues mentioned above, this research delves into the core issue, the separation of improved property price. Although the land value separated from the improved property price is the most important foundation of the ACLV, the orientation of the value is not certain, and the nature of the value is not clear due to the ACLV is a combination of the land value from the vacant land and improved property. This thesis discovers the vacant land value range is more stable and the possibility of deviation is lower compared to the improved property price. The land value separated from the improved property will differ owing to the difference of the buildings which have already existed, and the controversy resulted from three contribution principles, which makes it more complicated than the vacant land value. If the land value separated from the improved property contains surplus profit, whether the double taxation occurs or not is in doubt. Hence, the orientation of the ACLV and the benchmark land value is better to be identified by the vacant land value. The separated land value adopting the land-build-united contribution principle approximates the vacant land value more compared to land contribution, and maintain better equilibrium status with surrounding lands. Hence the land-build-united contribution is more reasonable when separated the value from the improved property. Current articles of the “Regulations on the Land Value Investigation and Assessment” are too simplified. It needs to be totally overhauled to be in conformity with the “Regulations on the Real Estate Appraisal.” The land-build-united contribution should be incorporated for the separation of improved property price. The building cost value, which is to be deducted, should consider the indirect cost. Related stipulations of the separation of improved property price should be unified. The definition of the separation approach of improved property price and estimation of the land value ratio and the building value ratio shall be stipulated. This dissertation suggests the “separation of the evaluation and the taxation” and makes the function and purpose of the ACLV simple. When the land value identified for different function and political purpose is not directly relevant to the ACLV, the ACLV the land administration assess would reflect the market value. The land value benchmark system needs to be implemented continuously. Not only is the precision of the land value benchmark appraisal identical to the individual parcel of land appraisal, but also maintains the efficiency of the mass appraisal as well as making the ACLV closer to the market value, the implementation of the Land Value Benchmark could improve the deficiency of the current Announced Current Land Value system. Keywords: the separation of improved property price, Announced Current Land Value, Land Value Benchmark, vacant land value, District Land Value.

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人類的思考決策與行為結果，大多是依循一個明確的市場制度而為的，故市場經濟制度的重要性，就在於有利個人形成如何有效配置資源的合理預期，同時也富有約束及激勵個人行為的誘因，讓個人能在制度約束的條件下，追求自利動機的極大化。都市空地再利用及市地重劃的法令制度，就具有這樣的經濟效應，所以本研究主要在探討，在空地再利用及市地重劃制度的約束與激勵條件下，都市中的經濟人行為決策與個體互動所形成的空間外部性，其會如何反應在住宅土地價格的變動，以探討空地再利用及空地開發所產生的空間外部性對住宅土地價格之影響。本文主要包括（1）空地再利用對住宅土地價格之影響；（2）空地再利用及鄰里土地開發對新建住宅土地價格之影響；（3）空間外部性、交易成本與市地重劃對新建住宅土地價格之影響等。 首先，有關「空地再利用對住宅土地價格之影響」，本文以Geoghegan（2002）的理論模型為基礎，主要探討空地再利用所產生的開放空間效果，其對於住宅土地價格的影響分析。本文運用地理資訊系統及空間計量分析，並建立民國九十三年及九十四年住宅土地的特徵價格模型，研究對象以台南市為例。實證結果發現，公有空地再利用作為公園及臨時停車場使用，其對於住宅土地價格產生正的空間外溢效果，此表示空地再利用所產生的開放空間的外溢利益，其大於空地管理維護的外溢成本。私有空地再利用作為運動場使用，民國九十三年的外部成本大於外部利益，但於民國九十四年的外部利益大於外部成本，故就私有空地再利用的外溢效果而言，私有空地再利用作為運動場使用的外溢效果可由負向轉為正向。公有空地再利用的邊際價格較私有空地再利用的邊際價格為高，故政府應繼續推動公有空地再利用的政策，以彌補鄰里的開放空間不足。 其次，有關「空地再利用及鄰里土地開發對新建住宅土地價格之影響」，本文主要在探討空地再利用所產生的開放空間效果，及鄰里土地開發所產生的空間外溢效果，兩者對於新建住宅土地價格的影響分析，本研究範圍以台南市民國九十三年的新建住宅為對象。實證結果發現，公有空地再利用對於新建住宅土地價格具有正的空間外溢效果，此表示開放空間的外溢利益大於空地管理維護的外溢成本。鄰里土地開發作為住宅使用時，會對新建住宅土地價格形成正的空間外溢效果，但當鄰里土地開發作為工廠使用時，卻會對新建住宅土地價格形成負的空間外溢效果。最有價值的住宅土地為，開放空間數量最大化及土地開發數量的最小化，故當永久性的開放空間(如鄰里公園)、可開發性的開放空間(如公有空地再利用)數量增加，以及鄰里工廠土地開發數量減少等，其將有助提高新建住宅土地價格。 最後，有關「空間外部性、交易成本與市地重劃對新建住宅土地價格之影響」，本文主要從政府實施市地重劃有助於降低交易成本的觀點，探討政府實施市地重劃制度及建設商的土地開發行為所產生的空間外部性，其反應在新建住宅土地價格的影響。本文運用空間計量分析及地理資訊系統，並結合Box-Cox函數轉換，以建構具有空間外部性的特徵價格模型。本文研究範圍以台南市民國八十年、八十五年及九十年的新建住宅為對象。實證結果得知，空間誤差Box-Cox模型對於空間外部性提供良好的解釋力。政府實施市地重劃之後對住宅土地價格具有正向外部性，且有政府參與的重劃區所反應的住宅土地邊際價格為正向關係。而建設商個體互動關係則具有正向及負向外部性，並在長期下出現由正向轉為負向之情況，此證明空間外部性會呈現相互性的現象，進而反應在新建住宅土地價格上會有增減的作用。 / This study mainly assumes that development of vacant land give rise to spatial externalities from the reuse of vacant land and the institution of land readjustment. Finally, this effect will be reflected in the residential land prices. To test this hypothesis, this study applies spatial econometric and geographic information systems based on hedonic pricing model. This study mainly includes that (1) The Impact of Reusing Vacant Land on Residential Land Prices, ( 2) The Impact of Reusing Vacant Land and Neighboring Land Development on Newly-Built Residential Land Prices, ( 3) The Impact of Spatial Externalities, Transaction Costs and Land Readjustment on Newly-Built Residential Land Prices, and evidence from Tainan City in Taiwan. First of all, about’ The Impact of Reusing Vacant Land on Residential Land Prices’, This study is based on Geoghegan’s theoretical model (2002) and focuses on open space effect of reusing vacant land on residential land prices. The data are selected from residential land prices in 2004, 2005. Empirically, I find that the reuse of publicly-owned vacant land used for green and park has positive spatial spillover effects. This means that spillover benefit of open space is more than spillover cost of vacant land management. The reuse of privately-owned vacant land used for sport has negative spatial spillover effects in 2004. The marginal price of publicly-owned vacant land is over than privately-owned vacant land. It is concluded that, the government should continue promoting the reuse of publicly-owned vacant land and used for open space of the neighborhood. Secondly, about’ The Impact of Reusing Vacant Land and Neighboring Land Development on Newly-Built Residential Land Prices’, This study focuses on open space effect of reusing vacant land and spatial spillover effect of neighboring land development on newly-built residential land prices. The data are selected from newly-built residence in 2004. Empirically, I find that the reuse of publicly-owned vacant land has positive spatial spillover effects on newly-built residential land prices. This means that spillover benefit of open space is more than spillover cost of vacant land management. Land development used for residence has positive spatial spillover effects and used for factory has negative spatial spillover effects in a neighborhood. This means that more the reuse of publicly-owned vacant land will increase newly-built residential land prices, while more land development used for factory will decrease newly-built residential land prices in a neighborhood. Finally, about’ The Impact of Spatial Externalities, Transaction Costs and Land Readjustment on Newly-Built Residential Land Prices’, This Study mainly assumes that land readjustment can reduce transaction costs in terms of the spatial externalities from developers’ behavior and the institution of land readjustment. This effect will be reflected in the newly-built residential land prices. To test this hypothesis, I apply spatial econometric analysis and geographic information systems based on the Box-Cox hedonic pricing model. The data are selected from newly-built residence from between 1991, 1996 and 2001. Empirically, I find that the spatial error Box-Cox model is appropriate for engaging in spatial externalities analysis. This is because the results show that land readjustment gives rise to positive spatial externalities on newly-built residential land prices and the marginal price of residential land in areas where land readjustment takes place is also positive. The effects of developers’ interactions give rise to positive spatial externalities but these change to negative spatial externalities in relation to newly-built residential land prices in the long term. It is concluded that, land readjustment as implemented by the government really does contribute to reducing uncertainty in the land development process, and also reduces transaction costs between construction practitioners and landlords.

This thesis presents the implementation of data fusion techniques for sustainable urban development. Recently, increasingly more geospatial data have been made easily available for no cost. The immeasurable quantities of geospatial data are mainly from four kinds of sources: remote sensing satellites, geographic information systems (GIS) data, citizen science, and sensor web. Among them, satellite images have been mostly used, due to the frequent and repetitive coverage, as well as the data acquisition over a long time period. However, the rather coarse spatial resolution of e.g. 30 m for Landsat 8 multispectral images impairs the application of satellite images in urban areas. Even though image fusion techniques have been used to improve the spatial resolution, the existing image fusion methods are neither suitable for sharpening one band thermal images nor for hyperspectral images with hundreds of bands. Therefore, simplified Ehlers fusion was developed. It adds the spatial information of a high-resolution image into a low-resolution image in the frequency domain through fast Fourier transform (FFT) and filter techniques. The developed algorithm successfully improved the spatial resolution of both one band thermal images as well as hyperspectral images. It can enhance various images, regardless of the number of bands and the spectral coverage, providing more precise measurement and richer information. To investigate the performance of simplified Ehlers fusion in practical use, it was applied for urban heat island (UHI) analysis. This was done by sharpening daytime and nighttime thermal images from Landsat 8, Landsat 7, and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). The developed algorithm effectively improved the spatial details of the original images so that the temperature differences between agricultural, forest, industrial, transportation, and residential areas could be distinguished from each other. Based on that, it was found that in the study city the causes of UHI are mainly anthropogenic heat from industrial areas as well as high temperatures from the road surface and dense urban fabric. Based on this analysis, corresponding mitigation strategies were tailored. Remote sensing images are useful yet not sufficient to retrieve land use related information, despite high spatial resolution. For sustainable urban development research, remote sensing images need to be incorporated with data from other sources. Accordingly, image fusion needs to be extended to broader data fusion. Extraction of urban vacant land was therefore taken as a second application case. Much effort was spent on the definition of vacant land as unclear definitions lead to ineffective data fusion and incorrect site extraction results. Through an intensive study of the current research and the available open data sources, a vacant land typology is proposed. It includes four categories: transportation-associated land, natural sites, unattended areas or remnant parcels, and brownfields. Based on this typology, a two-level data fusion framework was developed. On the feature level, sites are identified. For each type of vacant land, an individual site extraction rule and data fusion procedure is implemented. The overall data fusion involves satellite images, GIS data, citizen science, and social media data. In the end, four types of vacant land features were extracted from the study area. On the decision level, these extracted sites could be conserved or further developed to support sustainable urban development.

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