劉 玉,唐林楠,潘瑜春
村域尺度的不同鄉(xiāng)村發(fā)展類型多功能特征與振興方略
劉 玉,唐林楠,潘瑜春※
(1. 北京農(nóng)業(yè)信息技術(shù)研究中心,北京 100097;2. 國(guó)家農(nóng)業(yè)信息化工程技術(shù)研究中心,北京 100097)
村域是中國(guó)農(nóng)村社會(huì)經(jīng)濟(jì)活動(dòng)的基本單元,科學(xué)劃分鄉(xiāng)村發(fā)展類型是分區(qū)分類推進(jìn)鄉(xiāng)村振興的基礎(chǔ)和關(guān)鍵。該研究在考慮規(guī)劃約束的前提下,從經(jīng)濟(jì)條件、交通區(qū)位、資源稟賦和生態(tài)環(huán)境質(zhì)量4個(gè)維度構(gòu)建密云區(qū)鄉(xiāng)村綜合發(fā)展評(píng)價(jià)指標(biāo)體系,并借助SOFM網(wǎng)絡(luò)模型和地理探測(cè)器工具系統(tǒng)劃分鄉(xiāng)村發(fā)展類型。結(jié)果表明:1)在經(jīng)濟(jì)發(fā)展、交通區(qū)位等綜合影響下,密云區(qū)鄉(xiāng)村發(fā)展的空間分異特征明顯,其發(fā)展水平總體呈現(xiàn)“水庫南部>水庫北部”的特點(diǎn)。其中,密云鎮(zhèn)、穆家峪鎮(zhèn)和十里堡鎮(zhèn)內(nèi)的鄉(xiāng)村發(fā)展最為突出,其鄉(xiāng)村發(fā)展均處于較高級(jí)別以上;古北口鎮(zhèn)和新城子鎮(zhèn)的鄉(xiāng)村發(fā)展弱。2)將密云區(qū)鄉(xiāng)村劃分為經(jīng)濟(jì)交通主導(dǎo)高水平區(qū)、交通生態(tài)主導(dǎo)高水平區(qū)、資源生態(tài)主導(dǎo)中高水平區(qū)等7大類,其中交通生態(tài)主導(dǎo)高水平區(qū)和經(jīng)濟(jì)生態(tài)主導(dǎo)中高水平區(qū)是主要的鄉(xiāng)村發(fā)展類型,集中分布在不老屯、大城子、巨各莊、穆家峪、西田各莊、馮家峪和溪翁莊等鎮(zhèn)。交通生態(tài)主導(dǎo)高水平區(qū)村莊生態(tài)環(huán)境質(zhì)量較高,交通區(qū)位優(yōu)勢(shì)明顯,疊加上較強(qiáng)的經(jīng)濟(jì)實(shí)力,鄉(xiāng)村綜合發(fā)展水平高。經(jīng)濟(jì)生態(tài)主導(dǎo)中高水平區(qū)村莊具有較強(qiáng)的經(jīng)濟(jì)發(fā)展水平和生態(tài)環(huán)境質(zhì)量,鄉(xiāng)村綜合發(fā)展水平也較高。3)基于多功能視角梳理各類型區(qū)的功能特征,遵循“重點(diǎn)發(fā)展優(yōu)勢(shì)功能、適度提升弱勢(shì)功能”的思路提出村莊振興建議,以期為制訂差異化的鄉(xiāng)村振興策略提供依據(jù)。
農(nóng)村;分區(qū);鄉(xiāng)村發(fā)展;村域;多功能;鄉(xiāng)村振興;密云區(qū)
鄉(xiāng)村地域系統(tǒng)是多尺度、多層級(jí)、多類型的復(fù)雜體系,是在人文、經(jīng)濟(jì)、資源與環(huán)境相互聯(lián)系、相互作用下構(gòu)成的具有一定結(jié)構(gòu)、功能和區(qū)際聯(lián)系的鄉(xiāng)村空間體系[1]。由于自然和非自然資本、經(jīng)濟(jì)需求、市場(chǎng)距離、勞動(dòng)力供應(yīng)和基礎(chǔ)設(shè)施水平的差異,中國(guó)鄉(xiāng)村在轉(zhuǎn)型發(fā)展過程中分化成不同的地域類型[2-4],其功能發(fā)展、產(chǎn)業(yè)結(jié)構(gòu)等亦隨著區(qū)域資源稟賦、發(fā)展定位、文化政策、歷史背景等諸類要素的不同組合而呈現(xiàn)出不同的變化差異[4]。新時(shí)期,《鄉(xiāng)村振興戰(zhàn)略規(guī)劃(2018—2022年)》提出,順應(yīng)村莊發(fā)展規(guī)律和演變趨勢(shì),根據(jù)不同村莊的發(fā)展現(xiàn)狀、區(qū)位條件、資源稟賦等分類推進(jìn)鄉(xiāng)村振興。在此背景下,深入開展鄉(xiāng)村發(fā)展類型劃定研究,探索基于鄉(xiāng)村發(fā)展類型的功能整合與提升路徑,是實(shí)施鄉(xiāng)村振興戰(zhàn)略以及推動(dòng)城鄉(xiāng)融合發(fā)展的客觀要求。
由于對(duì)鄉(xiāng)村地域系統(tǒng)的認(rèn)知差異,早期學(xué)界側(cè)重研究農(nóng)業(yè)地域分異、農(nóng)業(yè)區(qū)劃等內(nèi)容[5-6]。隨著鄉(xiāng)村人口、資源、環(huán)境等問題的出現(xiàn),有關(guān)鄉(xiāng)村經(jīng)濟(jì)發(fā)展[7-9]、空間格局[10-11]、功能分異[12-13]、發(fā)展轉(zhuǎn)型及布局均衡[14-16]、土地利用[17]及景觀格局重構(gòu)[18-20]等類型的辨識(shí)研究增多,總體以人地關(guān)系理論、地域分異理論、比較優(yōu)勢(shì)理論等為基礎(chǔ),基于省域、縣市、村域等尺度,根據(jù)區(qū)域資源稟賦、空間結(jié)構(gòu)、產(chǎn)業(yè)發(fā)展、功能定位等差異,從單一或復(fù)合維度[21-23]構(gòu)建鄉(xiāng)村發(fā)展評(píng)價(jià)指標(biāo)體系,來客觀描述鄉(xiāng)村發(fā)展現(xiàn)狀。綜合而言,既有研究在局部地區(qū)、專業(yè)領(lǐng)域取得了理論和實(shí)踐上的突破,但運(yùn)用系統(tǒng)觀研究鄉(xiāng)村地域復(fù)雜系統(tǒng)一直是鄉(xiāng)村地域開發(fā)和土地利用的科學(xué)難題。研究尺度上以縣域居多,而村域作為中國(guó)農(nóng)村社會(huì)經(jīng)濟(jì)活動(dòng)的基本單元,承載著鄉(xiāng)村產(chǎn)業(yè)發(fā)展、農(nóng)民日常生活、農(nóng)村社區(qū)發(fā)展等生產(chǎn)生活行為[24],相關(guān)研究卻較為欠缺,難以有效指導(dǎo)村域空間優(yōu)化。研究方法逐漸由專家集成等主觀定性方法向主成分分析、層次聚類、空間聚類等客觀定量聚類方法發(fā)展,而以自組織特征映射(self-organizing feature map,SOFM)神經(jīng)網(wǎng)絡(luò)為代表的聚類分區(qū)法能夠降低指標(biāo)和權(quán)重的主觀性,適用于多維數(shù)據(jù)集分類[25],正逐漸應(yīng)用于地理學(xué)領(lǐng)域。指標(biāo)體系構(gòu)建方面,由于鄉(xiāng)村地域系統(tǒng)的復(fù)雜性、高效空間信息獲取和處理的限制性,尚未形成多維度、系統(tǒng)性的鄉(xiāng)村發(fā)展類型劃分及識(shí)別方法。加之,鄉(xiāng)村規(guī)劃是對(duì)鄉(xiāng)村聚落布局、經(jīng)濟(jì)發(fā)展、空間組織等的總體部署[26],隨著國(guó)家及地方鄉(xiāng)村振興戰(zhàn)略規(guī)劃的出臺(tái),鄉(xiāng)村發(fā)展類型劃分更應(yīng)與其銜接,以便有效指導(dǎo)鄉(xiāng)村發(fā)展實(shí)踐,但目前對(duì)規(guī)劃的考慮不足。據(jù)此,結(jié)合區(qū)域具體特征、潛力、資源、需求和規(guī)劃約束,構(gòu)建面向村域尺度的多維度、系統(tǒng)性鄉(xiāng)村發(fā)展評(píng)價(jià)指標(biāo)體系,并選取客觀聚類方法劃定鄉(xiāng)村發(fā)展類型,是轉(zhuǎn)型期中國(guó)鄉(xiāng)村地理學(xué)亟待研究的科學(xué)命題。
密云區(qū)是北京市重要的飲用水源地和生態(tài)涵養(yǎng)區(qū),得益于境內(nèi)獨(dú)特的生產(chǎn)生態(tài)資源和區(qū)位優(yōu)勢(shì),區(qū)域現(xiàn)代農(nóng)業(yè)和旅游業(yè)發(fā)展迅速,但也因地形地貌限制,部分鄉(xiāng)村經(jīng)濟(jì)發(fā)展落后、農(nóng)民收入較低,鄉(xiāng)村發(fā)展不平衡不充分現(xiàn)象明顯。《北京鄉(xiāng)村振興戰(zhàn)略規(guī)劃(2018—2022年)》指出,要優(yōu)化區(qū)域鄉(xiāng)村生產(chǎn)生活生態(tài)空間,分類推進(jìn)鄉(xiāng)村發(fā)展,構(gòu)建城鄉(xiāng)融合發(fā)展格局。據(jù)此,本研究試圖在考慮規(guī)劃約束的前提下,構(gòu)建密云區(qū)鄉(xiāng)村綜合發(fā)展評(píng)價(jià)指標(biāo)體系,并借助SOFM聚類方法,系統(tǒng)辨識(shí)鄉(xiāng)村發(fā)展類型及其多功能特征,服務(wù)于差異化鄉(xiāng)村發(fā)展策略制定。
1)基于系統(tǒng)觀構(gòu)建鄉(xiāng)村發(fā)展評(píng)價(jià)指標(biāo)體系(圖1)。結(jié)合區(qū)域?qū)嶋H及相關(guān)資料,構(gòu)建鄉(xiāng)村多維度發(fā)展評(píng)價(jià)指標(biāo)體系,并借助網(wǎng)絡(luò)在線資源、GIS空間分析技術(shù)及統(tǒng)計(jì)資料等獲取相應(yīng)指標(biāo);經(jīng)過標(biāo)準(zhǔn)化、賦權(quán)計(jì)算得出評(píng)價(jià)單元各項(xiàng)子系統(tǒng)指數(shù)以及鄉(xiāng)村綜合發(fā)展指數(shù),并據(jù)此分析區(qū)域鄉(xiāng)村綜合發(fā)展特征。

圖1 密云區(qū)鄉(xiāng)村發(fā)展類型劃分技術(shù)流程
2)基于SOFM模型和地理探測(cè)器劃分鄉(xiāng)村發(fā)展類型。村經(jīng)濟(jì)發(fā)展水平、交通區(qū)位條件、資源稟賦現(xiàn)狀、生態(tài)環(huán)境質(zhì)量4項(xiàng)指數(shù)即為SOFM分類模型輸入,聚類結(jié)果即為模型輸出。首先,遵循樣點(diǎn)在空間隨機(jī)均勻分布的抽樣原則,借助ArcGIS地統(tǒng)計(jì)模塊的創(chuàng)建子集工具,將獲取的包含4項(xiàng)子系統(tǒng)指數(shù)屬性記錄的村域單元點(diǎn)按一定比例抽樣(通常,抽樣單元/總體研究單元≥70%);利用Matlab神經(jīng)網(wǎng)絡(luò)工具箱提供SOFM相關(guān)函數(shù)編程,對(duì)樣本進(jìn)行學(xué)習(xí)、訓(xùn)練和分類。待網(wǎng)絡(luò)訓(xùn)練好后,將全部單元作為輸入樣本投入網(wǎng)絡(luò),進(jìn)而獲得相應(yīng)的分類結(jié)果,并借助地理探測(cè)器工具確定最佳聚類數(shù)目,而后將結(jié)果導(dǎo)入ArcGIS,形成鄉(xiāng)村發(fā)展類型圖。
3)鄉(xiāng)村發(fā)展類型的多功能特征及振興建議。根據(jù)不同類型鄉(xiāng)村各維度的具體特征,對(duì)類型區(qū)進(jìn)行命名,分析其多功能特征,并據(jù)此提出村莊振興建議。
系統(tǒng)構(gòu)建鄉(xiāng)村發(fā)展評(píng)價(jià)指標(biāo)體系,即基于鄉(xiāng)村地域系統(tǒng)理論和要素稟賦理論等,綜合考慮經(jīng)濟(jì)、社會(huì)、資源等差異對(duì)鄉(xiāng)村發(fā)展的影響。因此,該研究從考慮規(guī)劃約束入手,參考相關(guān)文獻(xiàn)[27-29],在遵循典型性、科學(xué)性、系統(tǒng)性、可操作性、簡(jiǎn)明性等原則的前提下,側(cè)重突出鄉(xiāng)村發(fā)展的差異性和可比性,從經(jīng)濟(jì)發(fā)展水平、交通區(qū)位條件、資源稟賦現(xiàn)狀和生態(tài)環(huán)境質(zhì)量4個(gè)維度選取11項(xiàng)指標(biāo)構(gòu)建鄉(xiāng)村發(fā)展綜合評(píng)價(jià)指標(biāo)體系。其中,規(guī)劃期內(nèi)建設(shè)用地面積占比、與城鎮(zhèn)核心區(qū)的距離屬于規(guī)劃約束類指標(biāo),表征規(guī)劃以及城鎮(zhèn)核心區(qū)對(duì)鄉(xiāng)村未來發(fā)展的影響;其余均為現(xiàn)狀描述類指標(biāo),表征鄉(xiāng)村發(fā)展的現(xiàn)狀水平。
利用極值法對(duì)指標(biāo)標(biāo)準(zhǔn)化;借助層次分析法獲取指標(biāo)權(quán)重;運(yùn)用加權(quán)求和法確定鄉(xiāng)村發(fā)展4項(xiàng)子系統(tǒng)指數(shù)及綜合指數(shù)。指標(biāo)體系及權(quán)重詳見表1。其中,在借助層次分析法確定指標(biāo)權(quán)重過程中,主要參考鄉(xiāng)村發(fā)展研究專家的意見和現(xiàn)有文獻(xiàn)中相應(yīng)指標(biāo)權(quán)重值來確定判斷矩陣構(gòu)造環(huán)節(jié)中指標(biāo)的重要性標(biāo)度。極值法、層次分析法、加權(quán)求和法的計(jì)算公式詳見文獻(xiàn)[8,30]。
由表1可知,1)經(jīng)濟(jì)發(fā)展水平是衡量鄉(xiāng)村發(fā)展的重要指標(biāo),也是鄉(xiāng)村經(jīng)濟(jì)發(fā)展?jié)摿Φ闹匾从常唧w選用人均鄉(xiāng)村主要經(jīng)濟(jì)總產(chǎn)出、農(nóng)民人均收入所得和規(guī)劃期內(nèi)建設(shè)用地面積占比反映。其中,人均鄉(xiāng)村主要經(jīng)濟(jì)總產(chǎn)出、農(nóng)民人均收入所得反映鄉(xiāng)村經(jīng)濟(jì)發(fā)展水平現(xiàn)狀,值越大,鄉(xiāng)村發(fā)展水平越好;規(guī)劃期內(nèi)建設(shè)用地面積占比反映地區(qū)經(jīng)濟(jì)增長(zhǎng)潛力,其值越大,表示未來村鎮(zhèn)化程度越高,越有利于鄉(xiāng)村發(fā)展。2)交通區(qū)位條件決定了鄉(xiāng)村地域系統(tǒng)與城鎮(zhèn)及其他鄉(xiāng)村地域之間物質(zhì)、能量和信息互動(dòng)的頻度和效率,可用交通便利度、與城鎮(zhèn)核心區(qū)的距離表征。其中,交通便利度反映鄉(xiāng)村道路設(shè)施建設(shè)情況,值越大,表示交通設(shè)施越完善,越有利于鄉(xiāng)村發(fā)展;與城鎮(zhèn)核心區(qū)的距離反映村莊交通區(qū)位狀況,越靠近城鎮(zhèn)核心區(qū),越容易接受城鎮(zhèn)核心區(qū)的輻射影響,村莊城鎮(zhèn)化發(fā)展的可能性越大,鄉(xiāng)村發(fā)展?jié)摿υ酱蟆7粗l(xiāng)村未來發(fā)展?jié)摿υ饺酢?)研究涉及的資源稟賦現(xiàn)狀側(cè)重反映區(qū)域一、三產(chǎn)業(yè)的資源基礎(chǔ),具體用主要農(nóng)產(chǎn)品產(chǎn)量、主要農(nóng)用地資源和A級(jí)以上旅游資源豐度表征。其中,主要農(nóng)產(chǎn)品產(chǎn)量、主要農(nóng)用地資源分別從數(shù)量和規(guī)模方面反映鄉(xiāng)村的農(nóng)業(yè)資源稟賦條件,農(nóng)業(yè)產(chǎn)量(資源)越高(豐富),農(nóng)業(yè)生產(chǎn)能力就越強(qiáng),越有利于實(shí)現(xiàn)鄉(xiāng)村產(chǎn)業(yè)振興;A級(jí)以上旅游資源豐度主要反映鄉(xiāng)村旅游資源分布現(xiàn)狀,值越大,表明鄉(xiāng)村旅游資源越豐富,鄉(xiāng)村旅游吸引力就越大,越有利于鄉(xiāng)村發(fā)展。4)生態(tài)環(huán)境質(zhì)量側(cè)重反映鄉(xiāng)村生態(tài)系統(tǒng)提供的生態(tài)保育以及生態(tài)穩(wěn)定能力,具體用生態(tài)用地面積占比、地形起伏度和地質(zhì)災(zāi)害易發(fā)程度表征。其中,生態(tài)用地面積占比反映區(qū)域提供生態(tài)服務(wù)、維持生態(tài)系統(tǒng)平衡的能力,值越大,表明村內(nèi)生態(tài)用地越豐富,鄉(xiāng)村生態(tài)環(huán)境質(zhì)量越好,提供生態(tài)服務(wù)的能力越強(qiáng)。地形起伏度和地質(zhì)災(zāi)害易發(fā)程度分別反映區(qū)域生態(tài)敏感性和地質(zhì)條件對(duì)鄉(xiāng)村發(fā)展的影響,其值越大,對(duì)鄉(xiāng)村發(fā)展建設(shè)威脅越大,發(fā)展水平就越弱。

表1 鄉(xiāng)村發(fā)展評(píng)價(jià)指標(biāo)體系
注:①指標(biāo)中村工業(yè)主營(yíng)業(yè)務(wù)收入、建筑業(yè)總產(chǎn)值等數(shù)據(jù)缺乏,具體用鄉(xiāng)鎮(zhèn)相應(yīng)指標(biāo)與鎮(zhèn)總?cè)丝诘谋戎荡妗?biāo)準(zhǔn)化時(shí),對(duì)各類人均經(jīng)濟(jì)產(chǎn)出分別標(biāo)準(zhǔn)化,爾后加和求取平均值。②為顯示不同級(jí)別道路對(duì)村民生活的影響,以賦權(quán)后的道路長(zhǎng)度進(jìn)行路網(wǎng)密度計(jì)算[31]。③主要農(nóng)產(chǎn)品產(chǎn)量標(biāo)準(zhǔn)化處理方式同①。④依據(jù)《生態(tài)保護(hù)紅線劃定指南》確定生態(tài)用地范圍,具體包括一二級(jí)林地、水源保護(hù)區(qū)等生態(tài)用地。計(jì)算時(shí),為避免不同用地間的重疊,借助ArcGIS 空間分析技術(shù)獲取最終生態(tài)用地范圍和村內(nèi)生態(tài)用地面積,爾后計(jì)算其與村土地面積的比值得來。⑤利用2017年密云威脅居民點(diǎn)的突發(fā)地質(zhì)災(zāi)害隱患點(diǎn)統(tǒng)計(jì)表獲取威脅密云村莊的地質(zhì)災(zāi)害險(xiǎn)情級(jí)別(分為無隱患、小型、中型和大型),具體計(jì)算方法參考文獻(xiàn)[32]。
Note: ①Owing to lack of village's indicators such as the main business income, the total output value of the construction industry and so on, we will use the ratio of town's corresponding indicators and the town population instead. And the standardized output value of main rural economic output per capita is calculated by the average value of the sum of the standardized values of the four kinds of per capita economic output data items. ②To show the impact of different level roads on villagers' lives, the road network density is calculated by the road lengths after being given weight[31]. ③ The method of main agricultural output standardized is same as①.④ The proportion of village ecological land area is equal to the ratio of the final village ecological land area and the village land area. Inside, the village ecological land area includes the first and second level of forest land area , water conservation area and other ecological land in village's level, obtained by using ArcGIS according to the guidelines for delineating the red line for ecological protection. ⑤ The risk levels of geological disasters threatening villages of Miyun (divided into no risks, small, medium and large) is calculated by the statistical table of the hidden dangers of sudden geological disasters threatening residential areas in Miyun in 2017. The specific calculation method can be drawn by reference[32] .
1.3.1 SOFM網(wǎng)絡(luò)分類模型設(shè)計(jì)
SOFM是一種由芬蘭學(xué)者Kohonen提出的非監(jiān)督型的人工神經(jīng)網(wǎng)絡(luò),它能夠?qū)⒏呔S數(shù)據(jù)集映射至低維空間,進(jìn)而識(shí)別出數(shù)據(jù)間的相似關(guān)系。網(wǎng)絡(luò)由輸入層和競(jìng)爭(zhēng)層組成,輸入層節(jié)點(diǎn)代表樣本的特征維數(shù),競(jìng)爭(zhēng)層節(jié)點(diǎn)即類別個(gè)數(shù)。輸入層接收樣本數(shù)據(jù)后,使競(jìng)爭(zhēng)層節(jié)點(diǎn)相競(jìng)爭(zhēng),并調(diào)整獲勝節(jié)點(diǎn)與鄰域節(jié)點(diǎn)權(quán)值,可以在保持?jǐn)?shù)據(jù)集拓?fù)浣Y(jié)構(gòu)不變的前提下得到數(shù)據(jù)聚類結(jié)果[25,33]。
SOFM網(wǎng)絡(luò)學(xué)習(xí)步驟包括[34]:1)網(wǎng)絡(luò)初始化。主要包括網(wǎng)絡(luò)權(quán)值(w)、學(xué)習(xí)速率()、鄰域(S)及迭代次數(shù)(;2)輸入樣本數(shù)據(jù)(x)歸一化處理;3)計(jì)算輸入樣本與每個(gè)競(jìng)爭(zhēng)神經(jīng)元之間的距離(d),具有最小距離的神經(jīng)元即為獲勝神經(jīng)元();4)權(quán)值調(diào)整及鄰域設(shè)置。對(duì)獲勝神經(jīng)元及鄰域內(nèi)神經(jīng)元權(quán)值進(jìn)行更新;5)基于新的輸入樣本重復(fù)上述步驟,進(jìn)而獲取最終分類結(jié)果。研究借助MATLAB實(shí)現(xiàn)聚類代碼設(shè)計(jì),相應(yīng)的網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)、距離、迭代次數(shù)等參數(shù)依次設(shè)置為六角形拓?fù)浣Y(jié)構(gòu)()、歐式距離()、5000次,競(jìng)爭(zhēng)層神經(jīng)元個(gè)數(shù)依次設(shè)置為介于2~16之間的連續(xù)自然數(shù),即樣本輸出類別依次為2~16類。
1.3.2 基于地理探測(cè)器的最佳聚類數(shù)目確定
SOFM網(wǎng)絡(luò)非監(jiān)督分類的特性表明,類別數(shù)目的改變將影響聚類結(jié)果,因此,確定最佳聚類數(shù)目是關(guān)鍵環(huán)節(jié)。梳理文獻(xiàn)可知,目前學(xué)者們多依賴專家先驗(yàn)知識(shí)確定基于SOFM的聚類方案數(shù)目[4],客觀的聚類效果評(píng)價(jià)統(tǒng)計(jì)檢驗(yàn)方法尚待深化研究。地理探測(cè)器作為一種可量化分析空間分層分異特性、探測(cè)各類變量之間空間相關(guān)性的探索性工具,其在檢驗(yàn)基于專業(yè)領(lǐng)域知識(shí)的分類算法的聚類效果方面具有一定優(yōu)勢(shì)[35-36]。據(jù)此,該研究通過計(jì)算地理探測(cè)器的值來確定最佳類別,具體以鄉(xiāng)村綜合發(fā)展指數(shù)為結(jié)果變量,不同聚類數(shù)對(duì)應(yīng)的分區(qū)結(jié)果為自變量,公式如式(1)。


一般而言,當(dāng)聚類數(shù)相同時(shí),值越大表示聚類效果越好。聚類數(shù)不同時(shí),值隨分類數(shù)的增加而增大,但隨著類別數(shù)的增加,相關(guān)成本也會(huì)增加。據(jù)此,基于“類內(nèi)鄉(xiāng)村發(fā)展差異性最小、差異性最小前提下分類數(shù)目不宜過多”的原則,通過繪制邊際效益曲線并尋找其拐點(diǎn)來確定最佳類別數(shù)。
考慮到檀營(yíng)、鼓樓、果園3地(下文統(tǒng)稱為城鎮(zhèn)核心區(qū))的城鎮(zhèn)化程度高以及密云水庫內(nèi)農(nóng)村居民點(diǎn)分布少的情況,在研究單元處理時(shí)舍去,不參與分析。由于矢量數(shù)據(jù)中存在村名重復(fù)且空間分布連續(xù)的單元,為便于后續(xù)分析,對(duì)鎮(zhèn)內(nèi)村名重復(fù)的單元進(jìn)行合并,最終形成357個(gè)村域單元。
基于自然斷裂法將鄉(xiāng)村綜合發(fā)展水平劃分為高(≥0.423 3~0.542 5)、中高(≥0.350 9~0.423 3)、中低(≥0.264 6~0.350 9)和低(≥0.119 3~0.264 6)4個(gè)級(jí)別,單元占比分別為19.61%、36.69%、30.81%、12.89%。由圖2可知,在經(jīng)濟(jì)發(fā)展、交通區(qū)位、資源稟賦和生態(tài)環(huán)境質(zhì)量的影響下,鄉(xiāng)村綜合發(fā)展水平呈現(xiàn)明顯的空間分異性,總體以城鎮(zhèn)核心區(qū)和密云水庫為圓心向外減弱。其中,城鎮(zhèn)核心區(qū)周圍鄉(xiāng)村由近及遠(yuǎn)依次呈現(xiàn)“高—中高—中低”水平的圈層式分布結(jié)構(gòu),密云水庫北部周圍表現(xiàn)為“中高—中低—低”水平的圈層式分布結(jié)構(gòu),即全區(qū)以密云水庫為界,水庫北部的鄉(xiāng)村發(fā)展水平總體弱于水庫南部(城鎮(zhèn)核心區(qū)周圍)。分鄉(xiāng)鎮(zhèn)看,密云、穆家峪和十里堡鎮(zhèn)的發(fā)展最突出,鄉(xiāng)村發(fā)展水平均處于中高級(jí)別以上;西田各莊、溪翁莊、巨各莊、河南寨和東邵渠等次之,處于中高級(jí)別及以上的鄉(xiāng)村比重均在60%以上;古北口和新城子鎮(zhèn)的鄉(xiāng)村發(fā)展最弱。
具體來看,1)高水平單元(70個(gè))集中分布在密云水庫南部的河南寨、穆家峪、巨各莊、十里堡、西田各莊、溪翁莊、密云、東邵渠等鎮(zhèn),少量分布在水庫北部的石城、不老屯、高嶺等鎮(zhèn)。其中,蔡家洼、東白巖、提轄莊、石蛾、北白巖、西邵渠等鄰近城鎮(zhèn)核心區(qū)的村莊,交通區(qū)位優(yōu)勢(shì)獨(dú)特,地勢(shì)平緩,農(nóng)業(yè)和旅游業(yè)資源豐富,生態(tài)環(huán)境質(zhì)量較好,且規(guī)劃期內(nèi)有條件建設(shè)用地和允許建設(shè)用地規(guī)模較大,發(fā)展?jié)摿Υ螅l(xiāng)村發(fā)展水平總體處于前列。2)中高水平單元(131個(gè))在密云水庫南部的西田各莊、河南寨、巨各莊、穆家峪、溪翁莊、太師屯以及北部的石城、高嶺等鎮(zhèn)分布居多。其中,白道峪、前栗園、荊栗園、下屯等村交通便利,有利于城鄉(xiāng)要素流動(dòng),工業(yè)發(fā)展迅速,產(chǎn)業(yè)基礎(chǔ)較好,居民收入較高,且生態(tài)用地面積占比較大,鄉(xiāng)村生態(tài)環(huán)境較好,也表現(xiàn)出較高的發(fā)展水平。3)中低水平單元(110個(gè))主要分布在密云水庫北部的石城、馮家峪、不老屯、高嶺以及南部的大城子鎮(zhèn)和太師屯鎮(zhèn)。其中,南溝(大城子鎮(zhèn))、南香峪、前火嶺、吉家營(yíng)、石巖井、下柵子等村的坡度在25°以上,經(jīng)濟(jì)交通發(fā)展受限,鄉(xiāng)村發(fā)展水平不高。4)低水平單元(46個(gè))主要分布在水庫北部的新城子、不老屯、古北口等鎮(zhèn)。這部分村莊地形起伏較大,生態(tài)環(huán)境質(zhì)量不高,同時(shí)經(jīng)濟(jì)、交通、資源等發(fā)展水平也較低,鄉(xiāng)村綜合發(fā)展水平低下。

圖2 密云區(qū)鄉(xiāng)村綜合發(fā)展水平
結(jié)合圖3可知,值隨著聚類數(shù)目的增加而不斷增大,表明聚類效果隨類別數(shù)的增加而變好。總體而言,聚類數(shù)介于2~7之間時(shí),值快速增大;聚類數(shù)介于8~16之間時(shí),值呈現(xiàn)緩慢的波動(dòng)增長(zhǎng)態(tài)勢(shì)。考慮到空間分區(qū)成本會(huì)隨聚類數(shù)的增加而增大,結(jié)合邊際效益遞減規(guī)律,認(rèn)為聚類數(shù)為7或8時(shí)所對(duì)應(yīng)的值即為空間分區(qū)成本最合理、分區(qū)效益最好的邊際效益拐點(diǎn)值。將兩種聚類結(jié)果導(dǎo)入ArcGIS,形成鄉(xiāng)村發(fā)展類型圖。結(jié)合鄉(xiāng)村發(fā)展類型分布情況最終確定密云區(qū)鄉(xiāng)村發(fā)展類型為7(圖4),并按照經(jīng)濟(jì)發(fā)展、交通區(qū)位、資源稟賦、生態(tài)環(huán)境4個(gè)維度和綜合發(fā)展水平的具體特征命名,原則上以反映類型區(qū)的主要特征、發(fā)展水平高低情況為主,各類型區(qū)內(nèi)涵及其主要特征詳見表2。

表2 密云區(qū)鄉(xiāng)村發(fā)展類型區(qū)基本特征
注:類型區(qū)名稱中的中高、中低、低水平基于前文鄉(xiāng)村綜合發(fā)展水平指數(shù)分級(jí)標(biāo)準(zhǔn)整理,但高水平的劃分則相對(duì)于中高水平而言。
Note: The middle-high, middle-low and low levels in the names of typology areas are sorted out based on the classification standards of the rural comprehensive development level index mentioned above, but the classification of the high level is relative to the middle-high level.

圖3 不同聚類結(jié)果對(duì)應(yīng)的q值分布

圖4 密云區(qū)鄉(xiāng)村發(fā)展類型
鄉(xiāng)村最早作為農(nóng)產(chǎn)品生產(chǎn)區(qū)域而客觀存在,在區(qū)域發(fā)展條件差異性、區(qū)域發(fā)展目標(biāo)多元、社會(huì)需求多樣及土地利用多宜等綜合影響下[37],鄉(xiāng)村多功能性日漸引起關(guān)注,并逐漸由單一的農(nóng)產(chǎn)品生產(chǎn)轉(zhuǎn)向兼具生產(chǎn)、生活、生態(tài)、文化等多功能方向發(fā)展。在此背景下,需要重新認(rèn)知鄉(xiāng)村價(jià)值,意味著可基于多功能視角剖析鄉(xiāng)村發(fā)展差異[38]。依據(jù)功能特征表現(xiàn),確定鄉(xiāng)村產(chǎn)業(yè)、主體、資源等要素的流動(dòng)和重組方向,進(jìn)而促進(jìn)鄉(xiāng)村發(fā)展。同時(shí),不斷流動(dòng)的鄉(xiāng)村發(fā)展要素經(jīng)過空間重組和再配置又反過來作用于鄉(xiāng)村多功能性,使某些功能增強(qiáng)或減弱,進(jìn)而形成功能特色鮮明、差異明顯的鄉(xiāng)村發(fā)展類型(圖5)。據(jù)此,本研究在闡述各類型區(qū)鄉(xiāng)村發(fā)展特征時(shí),著重探討經(jīng)濟(jì)發(fā)展、資源稟賦等要素支撐下的多功能發(fā)展特點(diǎn),解釋鄉(xiāng)村發(fā)展過程,進(jìn)而從功能角度提出鄉(xiāng)村振興建議。

圖5 多功能視角下的各類型區(qū)振興發(fā)展思路
經(jīng)濟(jì)交通主導(dǎo)高水平區(qū),集中分布在不老屯、十里堡、河南寨、西田各莊等鎮(zhèn),太師屯、密云、石城、穆家峪等鎮(zhèn)有少量分布。區(qū)域經(jīng)濟(jì)發(fā)展水平和交通區(qū)位優(yōu)勢(shì)突出,表現(xiàn)出較強(qiáng)的經(jīng)濟(jì)功能;農(nóng)業(yè)和旅游業(yè)資源稟賦弱于其他類型區(qū),生態(tài)環(huán)境質(zhì)量也普遍較低,表現(xiàn)出較弱的生態(tài)旅游休閑功能。針對(duì)地形受限的黃土梁村、干峪溝村、北溝村等,未來宜充分利用地形地貌資源,開發(fā)特色旅游項(xiàng)目,發(fā)展特色化的生態(tài)旅游及服務(wù)業(yè);針對(duì)部分地勢(shì)平緩、鄰近城鎮(zhèn)核心區(qū)的村,如靳各寨村、河槽村、南穆家峪村等,注重村鎮(zhèn)產(chǎn)業(yè)規(guī)劃引領(lǐng)作用,強(qiáng)化經(jīng)濟(jì)功能,同時(shí)注意保護(hù)區(qū)域生態(tài)用地,提升區(qū)域生態(tài)功能。
交通生態(tài)主導(dǎo)高水平區(qū),主要分布在密云水庫南部的溪翁莊、河南寨、巨各莊、穆家峪、西田各莊、大城子等鎮(zhèn)。該類型村莊的生態(tài)環(huán)境質(zhì)量較高,交通區(qū)位優(yōu)勢(shì)明顯,生態(tài)功能也比較強(qiáng),農(nóng)業(yè)資源稟賦相對(duì)豐富而旅游資源相對(duì)不足,旅游休閑功能有待提升。未來宜結(jié)合區(qū)域農(nóng)業(yè)資源和交通優(yōu)勢(shì),著力培育蔬菜種植、配送加工等特色產(chǎn)業(yè),提升農(nóng)產(chǎn)品生產(chǎn)能力;以農(nóng)業(yè)發(fā)展為著力點(diǎn),加強(qiáng)觀光休閑采摘類旅游資源開發(fā)力度,促進(jìn)產(chǎn)業(yè)融合,提升旅游休閑功能,進(jìn)而提升鄉(xiāng)村經(jīng)濟(jì)發(fā)展水平乃至綜合實(shí)力。
資源生態(tài)主導(dǎo)中高水平區(qū),主要分布在高嶺、太師屯等鎮(zhèn)。這部分村莊生產(chǎn)和生態(tài)功能明顯優(yōu)于其他類型區(qū),但經(jīng)濟(jì)發(fā)展和交通區(qū)位稍弱。鑒于此,未來應(yīng)重點(diǎn)發(fā)展生產(chǎn)和生態(tài)功能,并充分利用豐富的耕地和園地資源,積極發(fā)展觀光采摘等休閑農(nóng)業(yè);強(qiáng)化生態(tài)旅游資源的開發(fā)力度,積極促進(jìn)農(nóng)旅產(chǎn)業(yè)融合,以產(chǎn)業(yè)發(fā)展提升鄉(xiāng)村經(jīng)濟(jì)功能。
經(jīng)濟(jì)生態(tài)主導(dǎo)中高水平區(qū),集中分布在密云水庫北部的石城、馮家峪、不老屯以及南部的巨各莊、太師屯、穆家峪、大城子、西田各莊等鎮(zhèn)。該類型區(qū)以經(jīng)濟(jì)功能和生態(tài)功能發(fā)展為主,交通區(qū)位和產(chǎn)業(yè)資源稟賦優(yōu)勢(shì)相對(duì)不足。未來應(yīng)以經(jīng)濟(jì)、生態(tài)功能發(fā)展為主導(dǎo),依托村莊較強(qiáng)的經(jīng)濟(jì)實(shí)力,引導(dǎo)資金向交通基礎(chǔ)設(shè)施建設(shè)、現(xiàn)代化農(nóng)業(yè)等流動(dòng),提升區(qū)域生產(chǎn)及社會(huì)功能。
經(jīng)濟(jì)交通制約中低水平區(qū),主要分布在高嶺、太師屯、不老屯、新城子等鎮(zhèn)。地形坡度較大,不利于經(jīng)濟(jì)發(fā)展和交通建設(shè),經(jīng)濟(jì)和社會(huì)功能發(fā)展不足,但生態(tài)功能相對(duì)處于優(yōu)勢(shì)地位,同時(shí)具備一定的農(nóng)用地資源,適宜發(fā)展生產(chǎn)功能。未來應(yīng)以強(qiáng)化生態(tài)功能為主,并借助生態(tài)用地資源和地形特點(diǎn),加強(qiáng)旅游資源開發(fā)力度;借助已有的農(nóng)用地資源,積極發(fā)展生態(tài)農(nóng)業(yè),以振興旅游業(yè)和現(xiàn)代農(nóng)業(yè)作為提升鄉(xiāng)村綜合實(shí)力的載體,提升區(qū)域經(jīng)濟(jì)功能。
經(jīng)濟(jì)資源制約中低水平區(qū),集中在密云水庫北部的不老屯、石城以及南部的東邵渠、西田各莊等鎮(zhèn)。在經(jīng)濟(jì)發(fā)展和資源稟賦的雙重限制下,這部分村莊的經(jīng)濟(jì)、生產(chǎn)和旅游功能發(fā)展不足,但生態(tài)環(huán)境質(zhì)量較好,是區(qū)域水源涵養(yǎng)功能的重要載體,未來應(yīng)在繼續(xù)保持該功能的同時(shí),依托已有資源適度強(qiáng)化經(jīng)濟(jì)和生產(chǎn)功能,提升鄉(xiāng)村發(fā)展水平。
交通生態(tài)制約低水平區(qū),集中分布在馮家峪、古北口、新城子等鎮(zhèn),境內(nèi)因地形起伏較大,地質(zhì)災(zāi)害易發(fā),交通基礎(chǔ)設(shè)施建設(shè)受限,盡管有較豐富的旅游資源,但開發(fā)力度不足,鄉(xiāng)村發(fā)展水平較低。這一類型區(qū)生態(tài)旅游休閑功能發(fā)展?jié)摿Υ螅?jīng)濟(jì)功能和社會(huì)功能發(fā)展不足,未來宜結(jié)合優(yōu)勢(shì)條件,借助已有旅游品牌效應(yīng),以交通設(shè)施建設(shè)為著力點(diǎn),增強(qiáng)區(qū)域生態(tài)旅游資源吸引力,進(jìn)而提升區(qū)域經(jīng)濟(jì)、旅游、生態(tài)等功能。
1)在經(jīng)濟(jì)發(fā)展、交通區(qū)位等綜合影響下,以密云水庫為界,密云水庫南部的鄉(xiāng)村發(fā)展水平由近及遠(yuǎn)呈現(xiàn)“高—中高—中低”水平的圈層式分布結(jié)構(gòu),密云水庫北部周圍表現(xiàn)為“中高—中低—低”水平的圈層式分布結(jié)構(gòu),總體呈現(xiàn)“水庫南部>水庫北部”的特點(diǎn)。高、中高、中低和低等4個(gè)級(jí)別的單元占比分別為19.61%、36.69%、30.81%、12.89%,其中密云、穆家峪和十里堡鎮(zhèn)內(nèi)的鄉(xiāng)村發(fā)展最為突出,均處于中高級(jí)別以上;西田各莊、溪翁莊、巨各莊、河南寨和東邵渠等5鎮(zhèn)處于中高級(jí)別及以上的鄉(xiāng)村比重均在60%以上;古北口和新城子鎮(zhèn)的鄉(xiāng)村發(fā)展最弱。
2)基于SOFM網(wǎng)絡(luò)分類模型和地理探測(cè)器的值工具,確定劃分為7種鄉(xiāng)村發(fā)展類型,交通生態(tài)主導(dǎo)高水平區(qū)和經(jīng)濟(jì)生態(tài)主導(dǎo)中高水平區(qū)是主要類型。其中,交通生態(tài)主導(dǎo)高水平區(qū)主要分布在溪翁莊、河南寨、巨各莊、穆家峪、西田各莊、大城子等鎮(zhèn),村莊生態(tài)環(huán)境質(zhì)量較高,交通區(qū)位優(yōu)勢(shì)明顯,經(jīng)濟(jì)實(shí)力強(qiáng),鄉(xiāng)村發(fā)展水平高;經(jīng)濟(jì)生態(tài)主導(dǎo)中高水平區(qū)集中分布在巨各莊、太師屯、穆家峪、馮家峪、大城子等鎮(zhèn),區(qū)域村莊具有較強(qiáng)的經(jīng)濟(jì)發(fā)展水平和生態(tài)環(huán)境質(zhì)量,鄉(xiāng)村綜合發(fā)展水平較高。
3)因經(jīng)濟(jì)、交通、資源、生態(tài)等因素組合差異,密云區(qū)各鄉(xiāng)村發(fā)展類型呈現(xiàn)出不同的功能特征。基于鄉(xiāng)村振興的產(chǎn)業(yè)、主體、資源等要素,建議按照“重點(diǎn)發(fā)展優(yōu)勢(shì)功能、適度提升弱勢(shì)功能”的思路制訂差異化的鄉(xiāng)村振興策略,提升鄉(xiāng)村發(fā)展水平。
4)該研究基于村域尺度,從經(jīng)濟(jì)發(fā)展、交通區(qū)位、資源稟賦、生態(tài)環(huán)境4個(gè)維度系統(tǒng)構(gòu)建鄉(xiāng)村發(fā)展評(píng)價(jià)指標(biāo)體系,并借助SOFM模型對(duì)鄉(xiāng)村進(jìn)行聚類,借助地理探測(cè)器值工具確定鄉(xiāng)村綜合發(fā)展水平指數(shù)為結(jié)果變量下的最優(yōu)聚類結(jié)果,表明基于SOFM和地理探測(cè)器的鄉(xiāng)村發(fā)展類型劃分結(jié)果總體符合區(qū)域?qū)嶋H,并能反映各類型區(qū)不同維度要素的發(fā)展差異,以及規(guī)劃約束對(duì)鄉(xiāng)村發(fā)展的影響,所得結(jié)論能夠?yàn)槊茉茀^(qū)鄉(xiāng)村振興實(shí)踐提供依據(jù)。然而,需要補(bǔ)充的是,該研究在借助地理探測(cè)器評(píng)價(jià)最優(yōu)聚類結(jié)果時(shí),也考慮過分別基于子系統(tǒng)指數(shù)進(jìn)行分析,其值分布與以鄉(xiāng)村綜合發(fā)展水平指數(shù)為結(jié)果變量所對(duì)應(yīng)的值分布曲線變化特點(diǎn)相似,均在7~8類有較好表現(xiàn)。篇幅所限,文中僅列出了以鄉(xiāng)村綜合發(fā)展指數(shù)為結(jié)果變量的值分布情況。此外,研究所需數(shù)據(jù)主要來源于土地利用現(xiàn)狀數(shù)據(jù)、社會(huì)經(jīng)濟(jì)統(tǒng)計(jì)數(shù)據(jù)和遙感影像數(shù)據(jù)等,后續(xù)將結(jié)合細(xì)致的實(shí)地調(diào)研,進(jìn)一步明確鄉(xiāng)村振興發(fā)展的優(yōu)先能級(jí),以便為村莊規(guī)劃編制提供更科學(xué)的依據(jù)。同時(shí),由于數(shù)據(jù)獲取限制,在設(shè)計(jì)旅游豐度指標(biāo)時(shí)僅考慮國(guó)家A級(jí)以上旅游景點(diǎn)的豐富程度,對(duì)于其他類型景點(diǎn)的考慮不足,隨著衛(wèi)星數(shù)據(jù)采集范圍向鄉(xiāng)鎮(zhèn)層級(jí)覆蓋,未來有待獲取相關(guān)指標(biāo)以便深入研究。
[1]劉彥隨. 新時(shí)代鄉(xiāng)村振興地理學(xué)研究[J]. 地理研究,2019,38(3):461-466. Liu Yansui. Research on the geography of rural revitalization in the new era[J]. Geographical Research, 2019, 38(3): 461-466. (in Chinese with English abstract)
[2]徐凱,房艷剛. 鄉(xiāng)村地域多功能空間分異特征及類型識(shí)別—以遼寧省78個(gè)區(qū)縣為例[J]. 地理研究,2019,38(3):482-495. Xu Kai, Fang Yangang. Spatial differentiation and type identification of rural territorial multi-functions in Liaoning Province[J]. Geographical Research, 2019, 38(3): 482-495. (in Chinese with English abstract)
[3]房艷剛,劉繼生. 基于多功能理論的中國(guó)鄉(xiāng)村發(fā)展多元化探討—超越“現(xiàn)代化”發(fā)展范式[J]. 地理學(xué)報(bào),2015,70(2):257-270. Fang Yangang, Liu Jisheng. Diversified agriculture and rural development in China based on multifunction theory: Beyond modernization paradigm[J]. Acta Geographica Sinica, 2015, 70(2): 257-270. (in Chinese with English abstract)
[4]周揚(yáng),郭遠(yuǎn)智,劉彥隨. 中國(guó)鄉(xiāng)村地域類型及分區(qū)發(fā)展途徑[J]. 地理研究,2019,38(3):467-481. Zhou Yang, Guo Yuanzhi, Liu Yansui. Areal types and their development paths in rural China[J]. Geographical Research, 2019, 38(3): 467-481. (in Chinese with English abstract)
[5]劉彥隨,張紫雯,王介勇. 中國(guó)農(nóng)業(yè)地域分異與現(xiàn)代農(nóng)業(yè)區(qū)劃方案[J]. 地理學(xué)報(bào),2018,73(2):203-218. Liu Yansui, Zhang Ziwen, Wang Jieyong. Regional differentiation and comprehensive regionalization scheme of modern agriculture in China[J]. Acta Geographica Sinica, 2018, 73(2): 203-218. (in Chinese with English abstract)
[6]鄭秋月,姜廣輝,張瑞娟. 基于鄉(xiāng)村地域功能導(dǎo)向的土地整治分區(qū)—以北京市平谷區(qū)為例[J]. 中國(guó)農(nóng)業(yè)資源與區(qū)劃,2018,39(11):70-76. Zheng Qiuyue, Jiang Guanghui, Zhang Ruijuan. Regionalization for land reclamation based on rural area functional orientation: A case study of Pinggu district, Beijing[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2018, 39(11): 70-76. (in Chinese with English abstract)
[7]Li Y H, Westlund H, Liu Y S. Why some rural areas decline while some others not: An overview of rural evolution in the world[J]. Journal of Rural Studies, 2019, 68: 135—143.
[8]文琦,鄭殿元. 西北貧困地區(qū)鄉(xiāng)村類型識(shí)別與振興途徑研究[J]. 地理研究,2019,38(3):509-521. Wen Qi, Zheng Dianyuan. Identification and revitalization of rural poverty-stricken areas in northwest China[J]. Geographical Research, 2019, 38(3): 509-521. (in Chinese with English abstract)
[9]劉彥隨,李進(jìn)濤. 中國(guó)縣域農(nóng)村貧困化分異機(jī)制的地理探測(cè)與優(yōu)化決策[J]. 地理學(xué)報(bào),2017,72(1):161-173. Liu Yansui, Li Jintao. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China[J]. Acta Geographica Sinica, 2017, 72(1): 161-173. (in Chinese with English abstract)
[10]朱倩瓊,鄭行洋,劉櫻,等. 廣州市農(nóng)村聚落分類及其空間特征[J]. 經(jīng)濟(jì)地理,2017,37(6):206-214,223. Zhu Qianqiong, Zheng Xingyang, Liu Ying, et al. Spatial distribution and types of rural settlements in Guangzhou[J]. Economic Geography, 2017, 37(6): 206-214, 223. (in Chinese with English abstract)
[11]陳宗峰,李裕瑞,劉彥隨. 黃土丘陵溝壑區(qū)鄉(xiāng)村聚落分布格局特征與類型[J]. 農(nóng)業(yè)工程學(xué)報(bào),2017,33(14):266-274. Chen Zongfeng, Li Yurui, Liu Yansui. Distribution pattern characteristic and type classification of rural settlements in Loess hilly-gully region[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(14): 266-274. (in Chinese with English abstract)
[12]Sharma H R. Distribution of landholdings in rural India, 1953-54 to 1981-82: Implications for land reforms[N]. Economic and Political Weekly, 1994( A12-A25).
[13]李平星,陳雯,孫偉. 經(jīng)濟(jì)發(fā)達(dá)地區(qū)鄉(xiāng)村地域多功能空間分異及影響因素—以江蘇省為例[J]. 地理學(xué)報(bào),2014,69(6):797-807. Li Pingxing, Chen Wen, Sun Wei. Spatial differentiation and influencing factors of rural territorial multifunctions in developed regions: A case study of Jiangsu Province[J]. Acta Geographica Sinica, 2014, 69(6): 797-807. (in Chinese with English abstract)
[14]梁發(fā)超,劉詩苑,劉黎明. 基于用地競(jìng)爭(zhēng)力的閩南地區(qū)鄉(xiāng)村景觀功能沖突的識(shí)別[J]. 農(nóng)業(yè)工程學(xué)報(bào),2017,33(9):260-267. Liang Fachao, Liu Shiyuan, Liu Liming. Identification of rural landscape functional conflicts based on land use competitiveness in southern Fujian[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017, 33(9): 260-267. (in Chinese with English abstract)
[15]鄭祖藝,廖和平,楊偉,等. 重慶市縣域鄉(xiāng)村類型劃分及格局特征—基于鄉(xiāng)村發(fā)展水平和轉(zhuǎn)型評(píng)價(jià)[J]. 西南大學(xué)學(xué)報(bào):自然科學(xué)版,2018,40(2):104-112. Zheng Zuyi, Liao Heping, Yang Wei, et al. On type division and pattern characteristics of the rural areas in Chongqing: Based on the rural development level and transition assessment[J]. Journal of Southwest University:Natural Science, 2018, 40(2): 104-112. (in Chinese with English abstract)
[16]龍花樓,鄒健,李婷婷,等. 鄉(xiāng)村轉(zhuǎn)型發(fā)展特征評(píng)價(jià)及地域類型劃分:以“蘇南-陜北”樣帶為例[J]. 地理研究,2012,31(3):495-506. Long Hualou, Zou Jian, Li Tingting, et al. Study on the characteristics and territorial types of rural transformation development: The case of “Southern Jiangsu-Northern Shaanxi” transect[J]. Geographical Research, 2012, 31(3): 495-506. (in Chinese with English abstract)
[17]張恒,李陽兵. 基于空間自相關(guān)的峰叢洼地鄉(xiāng)村聚落集聚形態(tài)格局演變及其分區(qū)—以紫云縣宗地鄉(xiāng)為例[J]. 熱帶農(nóng)業(yè)科學(xué),2016,36(7):74-81. Zhang Heng, Li Yangbing. The peak cluster-depressions rural settlements spatial agglomeration pattern evolution and zoning based on spatial autocorrelation: A case study of Zongdi township in Ziyun County[J]. Chinese Journal of Tropical Agriculture, 2016, 36(7): 74-81. (in Chinese with English abstract)
[18]梁發(fā)超,劉詩苑,劉黎明. 基于“居住場(chǎng)勢(shì)”理論的鄉(xiāng)村聚落景觀空間重構(gòu)—以廈門市灌口鎮(zhèn)為例[J]. 經(jīng)濟(jì)地理,2017,37(3):193-200. Liang Fachao, Liu Shiyuan, Liu Liming. Spatial restructuring of the rural settlement landscape based on residential field and power theory: A case study of Guankou Town in Xiamen[J]. Economic Geography, 2017, 37(3): 193-200. (in Chinese with English abstract)
[19]馬利邦,豆浩健,謝作輪,等. 基于整合驅(qū)動(dòng)因素和適宜性評(píng)價(jià)的鄉(xiāng)村聚落重構(gòu)模式研究[J]. 農(nóng)業(yè)工程學(xué)報(bào),2019,35(3):246-255. Ma Libang, Dou Haojian, Xie Zuolun, et al. Research on rural settlement reconstruction model based on integration drivers and suitability evaluation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(3): 246-255. (in Chinese with English abstract)
[20]李傳武,梁雙波,車前進(jìn). 主體功能區(qū)視角下蕪湖市鄉(xiāng)村聚落空間分類與重構(gòu)[J]. 長(zhǎng)江流域資源與環(huán)境,2015,24(10):1736-1743. Li Chuanwu, Liang Shuangbo, Che Qianjin. Spatial reconstruction of the rural settlements in Wuhu city based on the function oriented zoning[J]. Resources and Environment in the Yangtze Basin, 2015, 24(10): 1736-1743. (in Chinese with English abstract)
[21]段德罡,劉嘉偉. 中國(guó)鄉(xiāng)村類型劃分研究綜述[J]. 西部人居環(huán)境學(xué)刊,2018,33(5):78-83. Duan Degang, Liu Jiawei. Review of village-type classification in China[J]. Journal of Human Settlements in West China, 2018, 33(5): 78-83. (in Chinese with English abstract)
[22]周新年,王世福,趙渺希,等. 面向規(guī)劃政策的鄉(xiāng)村地域類型研究—以廣東順德為例[J]. 地域研究與開發(fā),2017,36(5):29-34. Zhou Xinnian, Wang Shifu, Zhao Miaoxi, et al. Study on villages’ typology for the planning policy: A case study of Shunde in Guangdong[J]. Areal Research and Development, 2017, 36(5): 29-34. (in Chinese with English abstract)
[23]董越,華晨. 基于經(jīng)濟(jì)、建設(shè)、生態(tài)平衡關(guān)系的鄉(xiāng)村類型分類及發(fā)展策略[J]. 規(guī)劃師,2017,33(1):128-133. Dong Yue, Hua Chen. Types of villages and their development strategies based on the balance of economy, construction, and ecology[J]. Planners, 2017, 33(1): 128-133. (in Chinese with English abstract)
[24]李裕瑞,劉彥隨,龍花樓,等. 參與式村域發(fā)展綜合診斷的技術(shù)方法與實(shí)證應(yīng)用[J]. 地理研究,2014,33(2):372-384. Li Yurui, Liu Yansui, Long Hualou, et al. Participatory appraisal of village development system: Methodology and application[J]. Geographical Research, 2014, 33(2): 372-384. (in Chinese with English abstract)
[25]毛祺,彭建,劉焱序,等. 耦合SOFM與SVM的生態(tài)功能分區(qū)方法—以鄂爾多斯市為例[J]. 地理學(xué)報(bào),2019,74(3):460-474. Mao Qi, Peng Jian, Liu Yanxu, et al. An ecological function zoning approach coupling SOFM and SVM: A case study in Ordos[J]. Acta Geographica Sinica, 2019, 74(3): 460-474. (in Chinese with English abstract)
[26]李智,張小林. 中國(guó)地理學(xué)對(duì)鄉(xiāng)村發(fā)展的多元視角研究及思考[J]. 人文地理,2017,32(5):1-8. Li Zhi, Zhang Xiaolin. Pluralistic perspectives and thinking of Chinese rural development in geography study[J]. Human Geography, 2017, 32(5): 1-8. (in Chinese with English abstract)
[27]劉自強(qiáng),李靜,吳濤. 寧夏回族聚集區(qū)鄉(xiāng)村發(fā)展對(duì)城鎮(zhèn)化的響應(yīng)及空間特征[J]. 經(jīng)濟(jì)地理,2018,38(5):85-92. Liu Ziqiang, Li Jing, Wu Tao. The response and spatial characteristics of country development to urbanization in Hui Nationality Gathering Area of Ningxia[J]. Economic Geography, 38(5): 85-92. (in Chinese with English abstract)
[28]武鵬,李同昇,李衛(wèi)民. 縣域農(nóng)村貧困化空間分異及其影響因素—以陜西山陽縣為例[J]. 地理研究,2018,37(3):593-606. Wu Peng, Li Tongsheng, Li Weimin. Spatial differentiation and influencing factors analysis of rural poverty at county scale: A case study of Shanyang county in Shaanxi province, China[J]. Geographical Research, 2018, 37(3): 593-606. (in Chinese with English abstract)
[29]楊忍. 基于自然主控因子和道路可達(dá)性的廣東省鄉(xiāng)村聚落空間分布特征及影響因素[J]. 地理學(xué)報(bào),2017,72(10):1859-1871. Yang Ren. An analysis of rural settlement patterns and their effect mechanisms based on road traffic accessibility of Guangdong[J]. Acta Geographica Sinica, 2017, 72(10): 1859-1871. (in Chinese with English abstract)
[30]孟秋莉. 基于PSR模型的鄉(xiāng)村旅游環(huán)境保護(hù)評(píng)價(jià)指標(biāo)體系研究[J]. 生態(tài)經(jīng)濟(jì),2017,33(4):121-126, 159. Meng Qiuli. Research on the rural tourism environmental protection based on PSR model of evaluation index system[J]. Ecological Economy, 2017, 33(4): 121-126, 159. (in Chinese with English abstract)
[31]金鳳君,王成金,李秀偉. 中國(guó)區(qū)域交通優(yōu)勢(shì)的甄別方法及應(yīng)用分析[J]. 地理學(xué)報(bào),2008,63(8):787-798. Jin Fengjun, Wang Chengjin, Li Xiuwei. Discrimination method and its application analysis of regional transport superiority[J]. Acta Geographica Sinica, 2008, 63(8): 787-798. (in Chinese with English abstract)
[32]唐林楠,劉玉,潘瑜春,等. 基于BP模型和Ward法的北京市平谷區(qū)鄉(xiāng)村地域功能評(píng)價(jià)與分區(qū)[J]. 地理科學(xué),2016,36(10):1514-1521. Tang Linnan, Liu Yu, Pan Yuchun, et al. Evaluation and zoning of rural regional multifunction based on BP model and Ward method: A case in the Pinggu district of Beijing city[J]. Scientia Geographica Sinica, 2016, 36(10): 1514-1521. (in Chinese with English abstract)
[33]馮喆,蔣洪強(qiáng),盧亞靈. 基于大數(shù)據(jù)方法和SOFM聚類的中國(guó)經(jīng)濟(jì)-環(huán)境綜合分區(qū)研究[J]. 地理科學(xué),2019,39(2):242-251. Feng Zhe, Jiang Hongqiang, Lu Yaling. China’s economic-environment comprehensive zoning based on big data method and SOFM clustering[J]. Scientia Geographica Sinica, 2019, 39(2): 242-251. (in Chinese with English abstract)
[34]劉婭,朱文博,韓雅,等. 基于SOFM神經(jīng)網(wǎng)絡(luò)的京津冀地區(qū)水源涵養(yǎng)功能分區(qū)[J]. 環(huán)境科學(xué)研究,2015,28(3):369-376. Liu Ya, Zhu Wenbo, Han Ya, et al. Regionalization of water conservation function of Beijing-Tianjin-Hebei area based on SOFM neural network[J]. Research of Environmental Sciences, 2015, 28(3): 369-376. (in Chinese with English abstract)
[35]張衍毓,高秉博. 國(guó)土空間監(jiān)測(cè)網(wǎng)絡(luò)布局優(yōu)化方法研究[J]. 中國(guó)土地科學(xué),2017,32(1):11-19. Zhang Yanyu, Gao Bingbo. Spatial optimized method for China land monitoring network[J]. China Land Science, 2017, 32(1): 11-19. (in Chinese with English abstract)
[36]王勁峰,徐成東. 地理探測(cè)器:原理與展望[J]. 地理學(xué)報(bào),2017,72(1):116-134. Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134. (in Chinese with English abstract)
[37]洪惠坤,謝德體,郭莉?yàn)I,等. 多功能視角下的山區(qū)鄉(xiāng)村空間功能分異特征及類型劃分[J]. 生態(tài)學(xué)報(bào),2017,37(7):2415-2427. Hong Huikun, Xie Deti, Guo Libin, et al. Differentiation of spatial function in a mountainous rural from a multi-functional perspective[J]. Acta Ecologica Sinica, 2017, 37(7): 2415-2427. (in Chinese with English abstract)
[38]陳秧分,黃修杰,王麗娟. 多功能理論視角下的中國(guó)鄉(xiāng)村振興與評(píng)估[J]. 中國(guó)農(nóng)業(yè)資源與區(qū)劃,2018,39(6):201-209. Chen Yangfen, Huang Xiujie, Wang Lijuan. China’s rural revitalization and its evaluation from the perspective of multifunctional theory[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2018, 39(6): 201-209. (in Chinese with English abstract)
Multifunctional characteristics and revitalization strategies of different types of rural development at village scale
Liu Yu, Tang Linnan, Pan Yuchun※
(1.,100097,; 2.,100097,)
Village is the basic unit of rural social and economic activities in China. In accordance with the law of village development and the trend of evolution, it's of great significance to carry forward rural revitalization by zoning and classification on the basis of scientific recognition of suitable development types for various villages. Considering planning constraints, in this study, a comprehensive development evaluation index system was established in four dimensions of economic conditions, traffic location, resources and ecological environment. Among the index system, indicators such as the proportion of construction land area during the planning period and the distance from the urban core area belonged to the type of planning constraints, which reflected the impact of planning and the urban core area on the future development of the countryside; the rest were the status quo description category ones, representing the status quo level of rural development. After calculating and analyzing the status of integrated rural development, rural development types and multi-functional characteristics were identified by use of tools and systems such as SOFM network model and GeoDetector. In the process above, the SOFM model was used to obtain scientific and objective classification results which ranged from 2 to 16 categories, and then, the GeoDetector was used to obtain the number of best rural areas. The results showed that Under the influence of economic development, traffic location and other factors, development of villages in Miyun District differentiate largely in space, and the development level of area on the south of reservoir was generally better than the area on the north of reservoir. Miyun Town, Mujiayu Town and Shilipu Town thrived best and their rural developments were at a high level while Gubeikou and Xinchengzi Town developed most slowly. Our results also showed that villages in Miyun District were divided into seven zones such as traffic and ecology dominant high-level zone and resource and ecology dominant medium-high level zone. Traffic and ecology dominant and economy & ecology dominant high-level zones were the primary types of rural development. These two zones were mainly located in Bulaotun, Dachengzi, Jugezhuang, Mujiayu, Xitiangezhuang, Fengjiayu and Xiwengzhuang. With high quality of ecological environment, advantageous traffic location and strong economic development, villages in traffic and ecology dominant high-level zone showed high-level comprehensive development. Villages in economy and ecology dominant medium-high level zone had a strong economic development and great ecological environment, so they also achieved high-level comprehensive development. In addition, the results showed functional characteristics of different types of zone were summarized from a multi-functional prospective and suggestions for rural revitalization were proposed in accordance with the idea of “focusing on advantageous functions and properly improving disadvantageous functions” in order to guide the establishment of differential rural revitalization strategy. Overall, the results of the classification of rural development types based on SOFM and GeoDetector generally accorded with the regional reality, and can reflect the development differences of different dimensions of seven zones, as well as the impact of planning constraints on rural development. The conclusions can provide evidence for the rural revitalization practice in Miyun District.
rural areas; zoning; rural development; village; multi-function; rural revitalization; Miyun District
劉 玉,唐林楠,潘瑜春. 村域尺度的不同鄉(xiāng)村發(fā)展類型多功能特征與振興方略[J]. 農(nóng)業(yè)工程學(xué)報(bào),2019,35(22):9-17. doi:10.11975/j.issn.1002-6819.2019.22.002 http://www.tcsae.org
Liu Yu, Tang Linnan, Pan Yuchun. Multifunctional characteristics and revitalization strategies of different types of rural development at village scale [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(22): 9-17. (in Chinese with English abstract) doi:10.11975/j.issn.1002-6819.2019.22.002 http://www.tcsae.org
2019-06-23
2019-08-02
北京市農(nóng)林科學(xué)院青年科研基金(QNJJ201902);北京市自然科學(xué)基金面上項(xiàng)目(9192010)
劉 玉,博士,副研究員,主要從事土地利用、區(qū)域農(nóng)業(yè)與農(nóng)村發(fā)展研究。Email:Liuyu@nercita.org.cn
潘瑜春,博士,研究員,主要從事GIS空間分析與空間信息系統(tǒng)集成研究。Email:panyc@nercita.org.cn
10.11975/j.issn.1002-6819.2019.22.002
K901
A
1002-6819(2019)-22-0009-09