୍⯡♫ᅋἲே 㟁Ꮚ᝟ሗ㏻ಙᏛ఍                      ಙᏛᢏሗ‫ٻ‬‫ٻڇڮڞڤکڪڭگڞڠڧڠٻڡڪٻڠگڰگڤگڮکڤٻڠڣگ‬                     ‫ٻۏۍۊۋۀڭٻۇڼھۄۉۃھۀگٻڠڞڤڠڤ‬ࣾஂ๏ਓిࢠ৘ใ௨৴ֶձ৴ֶٕใ‫ٻڮڭڠڠکڤڢکڠٻکڪڤگڜڞڤکڰڨڨڪڞٻڟکڜٻکڪڤگڜڨڭڪڡکڤ‬                ‫ٻڄڍڌڈړڌڋڍڃٻڏڍڈړڌڋڍڠڟ‬THE
INSTITUTE OF ELECTRONICS,TECHNICAL REPORT OF IEICE.
INFORMATIONAND COMMUNICATION ENGINEERS‫ٻ‬ΦʔϓϯσʔλΛ‫֗ͨ͠༻׆‬಄൜ࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳʙ‫ؾ‬৅σʔλΛྫͱͯ͠ʙ߳઒୓େ†ࠤഢ ޾࿠†தଜ ‫ڡ‬ल†,††† ਆ‫ށ‬େֶ ˟ 657–8501 ਆ‫ࢢށ‬ಿ۠࿡ߕ୆ொ 1–1†† ཧԽֶ‫ॴڀݚ‬ɾֵ৽஌ೳ౷߹‫ڀݚ‬ηϯλʔ˟ 103-0027 ౦‫౎ژ‬தԝ۠೔ຊ‫ ڮ‬1-4-1E-mail: †kagawa@ws.cs.kobe-u.ac.jp, ††sachio@carp.kobe-u.ac.jp, †††masa-n@cs.kobe-u.ac.jp͋Β·͠஍ҬͰ͸ͻͬͨ͘Γ΍νΧϯɼෆ৹ͳ੠ֻ͚౳ͷ֗಄൜ࡑ͕࿈೔ൃੜ͍ͯ͠Δɽ͜ΕΒͷ֗಄൜ࡑ͕ൃੜ͢ΔཁҼͱͯ͠͸༷ʑͳ΋ͷ͕ߟ͑ΒΕΔ͕ɼ஍Ҭ΍ॅਓͷಛੑͳͲʹΑͬͯҟͳΔɽ͕ͨͬͯ͠ɼWeb ্ͰಘΒΕΔ஍ҬͷΦʔϓϯσʔλͱ֗಄൜ࡑͷσʔλΛֻ͚߹ΘͤΔ͜ͱͰɼͦͷ஍Ҭͷ֗಄൜ࡑʹ‫د‬༩͢ΔཁҼΛ໌Β͔ʹ͢Δ͜ͱ͸ॏཁͰ͋Δɽຊ‫Ͱڀݚ‬͸ಛʹ‫ؾ‬৅σʔλʹண໨͠ɼਆ‫ࢢށ‬ͷ֗಄൜ࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳΛߦ͏ɽσʔλͱͯ͠͸ɼฌ‫͕ܯݝݿ‬഑৴͢Δࣄ݅σʔλͱ‫ؾ‬৅ி͕ެ։͢Δ‫ؾ‬৅σʔλΛ༻͍Δɽ۩ମతʹ͸ɼ༵೔ɼ݄ɼ࣌ؒɼ‫ؾ‬Թɼ‫ͼٴ‬ఱ‫ʹؾ‬ண໨͠ɼͦΕͧΕͷཁૉ͝ͱͷ֗಄൜ࡑͷൃੜ݅਺Λௐ΂Δɽ͜ΕʹΑΓɼͦΕͧΕͷཁૉ͕֗಄൜ࡑͷൃੜʹͲͷΑ͏ʹؔ࿈͍ͯ͠Δ͔Λௐ΂Δ͜ͱ͕Ͱ͖ΔɽΩʔϫʔυ Φʔϓϯσʔλɼ֗಄൜ࡑɼ‫ؾ‬৅ɼεϚʔτγςΟ

Analyzing Relevant Factors to Street Crimes Using Open Data-Case Study with Weather DataTakuhiro KAGAWA† , Sachio SAIKI† , and Masahide NAKAMURA†,††† Kobe University, Rokkodai 1–1, Nada, Kobe, Hyogo, 657–8501 Japan†† Riken AIP, 1-4-1 Nihon-bashi, Chuo-ku, Tokyo 103-0027
E-mail: †kagawa@ws.cs.kobe-u.ac.jp, ††sachio@carp.kobe-u.ac.jp, †††masa-n@cs.kobe-u.ac.jp
Abstract

In the region, many street crimes such as robbery, groping, and suspicious act of speaking occurs everyday. Various factors can be considered as causes of the street crimes. However, the factors vary depending on thecharacteristics of the area and residents. Therefore, it is important to integrate the open data of the area obtained on
the Web with the street crime data and clarify the factors related to street crimes in the area. In this paper, we focus
on weather data among the open data and analyze relevant factors to street crimes in Kobe city. We use incident data
distributed by Hyogo Prefectural Police and weather data published by Japan Meteorological Agency. Speciﬁcally,focusing on day of week, month, time, temperature and weather, we investigate the number of occurrences of street
crimes by each factor. Thereby, we examine how each factor relates to the occurrence of street crimes.
Key words open data, street ctimes, weather, smart city1.

ߟ͑ΒΕΔ [3]ɽ͕ͨͬͯ͠ɼ਎ͷճΓͷ֗಄൜ࡑͷಛੑΛཧ͸͡Ίʹղ͢ΔͨΊʹ͸ɼࣗΒͷ‫ࡏݱ‬஍ɼ࣌ࠁɼपΓͷ‫ڥ؀‬౳ͷঢ়‫گ‬Λ஍ҬͰ͸ͻͬͨ͘Γ΍νΧϯɼෆ৹ͳ੠ֻ͚౳ͷ֗಄൜ࡑ͕

ߟྀ͢Δඞཁ͕͋Δɽ࿈೔ൃੜ͍ͯ͠Δɽ͜ΕΒͷ֗಄൜ࡑ͔Β਎ΛकΔͨΊɼॅۙ೥Ͱ͸ɼଟ͘ͷ࣏ࣗମ͕๷൜৘ใαʔϏεΛެ։͍ͯ͠ຽ͸ࣗ෼ࣗ਎ͷ਎ͷճΓͷ֗಄൜ࡑΛཧղ͠ɼࣗӴʹ౒ΊΔΔɽ๷൜৘ใαʔϏεͱ͸ɼΠϯλʔωοτΛ௨ͯ͡൜ࡑ΍͜ͱ͕ॏཁͰ͋Δ [1]ɽ͔͠͠ͳ͕Βɼ֗಄൜ࡑͷಛੑ͸ɼͦࣄ݅ͷ৘ใΛॅຽʹఏ‫͠ڙ‬ɼ๷൜ʹ໾ཱͯͯ΋Β͏αʔϏεͷ஍Ҭͷਓ‫ޱ‬ɼ஍‫ܗ‬౳ͷಛੑʹΑͬͯҟͳΔ [2]ɽ·ͨɼ‫ؾ‬৅Ͱ͋Δɽయ‫ܕ‬తʹ͸ɼࣄ݅ͷ৘ใ΍๷൜ϚοϓΛ Web αΠτ౳ͷཁҼʹΑͬͯ΋ͦͷ೔ʹൃੜ͢Δ֗಄൜ࡑ͕มԽ͢ΔͱͰఏࣔͨ͠ΓɼిࢠϝʔϧΛ࢖ͬͯࣄ݅৘ใΛ‫ر‬๬ऀʹ഑৴- 23 -—1—This article is a technical report without peer review, and its polished and/or extended version may be published elsewhere.

Copyright ©201 by IEICEͨ͠Γ͢Δɽ๷൜৘ใαʔϏεͷྫͱͯ͠͸ɼฌ‫͕ܯݝݿ‬ఏ‫ڞ‬σʔλΛΦʔϓϯσʔλͱͯ͠޿͘ެ։ͯ͠ɼਓʑͷੜ‫׆‬‫͍ͯ͠ڙ‬Δʮͻΐ͏͝๷൜ωοτʯ͕͋Δ [4]ɽʮͻΐ͏͝๷൜޲্΍‫׆ۀا‬ಈͷ‫׆‬ੑԽ౳Λૂ͏‫׆‬ಈ͕ΈΒΕΔɽྫͱͯ͠ɼωοτʯ͸ɼฌ‫͕ܯݝݿ‬ೝ஌ͨ͠ࣄ݅ͷ৘ใΛ Web Ͱ഑৴͢ਆ‫Ͱࢢށ‬͸ਓ‫Ͳͳޱ‬ͷࢢ੓৘ใɼࢪઃͷ৘ใɼࢢӦ஍Լమͷ࣌Δ΋ͷͰ͋ΓɼϝʔϧΞυϨεΛొ࿥͓͚ͯ͠͹ͦͷ৘ใΛࠁදͳͲɼ༷ʑͳσʔλΛ CSV ‫ࣜܗ‬΍ XML ‫ެͰࣜܗ‬։ͯ͠ϝʔϧͰड͚औΔ͜ͱ΋Ͱ͖Δɽ

͍Δ [6]ɽ

·ͨҰํͰɼެ։Մೳͳެ‫ڞ‬σʔλΛΦʔϓϯσʔλͱͦ͠ͷଞͷΦʔϓϯσʔλͷྫͱͯ͠ɼ‫ؾ‬৅σʔλ͕‫͛ڍ‬ΒΕͯ޿͘ެ։͠ɼਓʑͷੜ‫্޲׆‬΍‫׆ۀا‬ಈͷଅਐΛૂ͏औΓΔɽ‫ؾ‬৅σʔλ͸‫ؾ‬৅ி͕ϗʔϜϖʔδͰެ։͓ͯ͠Γɼա૊Έ͕‫ݟ‬ΒΕΔɽΦʔϓϯσʔλͷྫͱͯ͠ɼਓ‫Ͳͳޱ‬ͷࢢ‫ڈ‬ͷσʔλ΋‫ؚ‬ΊɼCSV ‫Ͱࣜܗ‬μ΢ϯϩʔυ͢Δ͜ͱ͕Ͱ͖੓৘ใɼࢪઃͷ৘ใɼࢢӦ஍Լమͷ࣌ࠁද΍‫ؾ‬৅σʔλ౳͕‫ڍ‬Δ [7]ɽμ΢ϯϩʔυͰ͖Δ߲໨ͱͯ͠͸ɼ‫ؾ‬Թɼ߱ਫྔɼఱ͛ΒΕΔɽ‫ؾ‬ɼ࣪౓ɼ෩޲ɾ෩଎౳༷ʑͳ΋ͷ͕͋Γɼ1 ࣌ؒ୯Ґͷ͜Εຊ‫Ͱڀݚ‬͸ɼঢ়‫ʹگ‬Ԡͨ֗͡಄൜ࡑͷ෼ੳͷͨΊɼ֗಄൜ࡑΒͷσʔλΛμ΢ϯϩʔυՄೳͰ͋Δɽͷσʔλɼ‫ ͼٴ‬Web ্ͰಘΒΕΔ஍ҬͷΦʔϓϯσʔλΛ૊2. 3 ๷൜৘ใαʔϏε PRISMΈ߹Θͤɼ֗಄൜ࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳΛߦ͏ɽಛʹຊߘ

2. 1 Ͱड़΂ͨ‫ط‬ଘͷ๷൜৘ใαʔϏεͰ͸ɼ‫ج‬ຊతʹ೚ҙͷͰ͸ɼΦʔϓϯσʔλͷதͰ΋‫ؾ‬৅σʔλʹண໨͠ɼਆ‫ʹࢢށ‬ࣄ݅৘ใ͕શͯͷϢʔβʹҰ༷ʹ഑৴͞ΕΔɽͦͷͨΊɼଟ͓͚͘Δ֗಄൜ࡑͷ෼ੳΛߦ͏ɽͷࣄ݅৘ใ͕഑৴͞ΕͨࡍɼϢʔβ͕ॏཁͳ৘ใΛ‫ݟ‬ಀͯ͠͠۩ମతʹ͸ɼ‫ࡏݱ‬ͷঢ়‫گ‬Λද͢ཁૉ͝ͱʹɼ֗಄൜ࡑͷ݅਺·͏Մೳੑ͕͋Δɽͦ͜Ͱզʑ͸ઌߦ‫͍͓ͯʹڀݚ‬ɼ৽͍͠๷Λू‫͢ܭ‬ΔɽຊߘͰ͸༵೔ɼ݄ɼ࣌ؒɼ‫ؾ‬Թɼ‫ͼٴ‬ఱ‫ؾ‬ͷ‫ͭޒ‬൜৘ใαʔϏε PRISM(Personalized Real-time Informationͷཁૉʹண໨͢Δɽ·ͣ࢝Ίʹ༵೔͝ͱͷ֗಄൜ࡑͷ݅਺Λwith Security Map) ΛఏҊ͍ͯ͠Δ [8]ɽPRISM Ͱ͸ɼϢʔβू‫͠ܭ‬ɼ༵೔ͱ֗಄൜ࡑͷ݅਺ͱͷؒͷؔ࿈Λௐ΂Δɽ͜ΕҰਓҰਓͷੜ‫ࠁ࣌ࡏݱͱݍ׆‬ɼࣄ݅ͷछྨΛߟྀ֤ͯ͠ࣄ݅Λ݄ɼ࣌ؒɼ‫ؾ‬Թɼఱ‫ؾ‬ͷશͯʹ͍ͭͯߦ͏ɽͷਂࠁ౓Λࢉग़͢Δɽͦͷ‫ޙ‬ɼॏΈ͚ͮ͞Εͨࣄ݅ͷ৘ใΛ͜ΕΒͷ෼ੳΛߦ͏ʹ͋ͨΓɼ֗಄൜ࡑσʔλͱͯ͠͸ͻΐ͏͝๷൜ωοτʹΑͬͯ഑৴͞ΕΔࣄ݅σʔλΛɼ‫ؾ‬৅σʔώʔτϚοϓͱͯ͠ՄࢹԽ͢Δɽ͜ΕʹΑΓɼϢʔβ‫ݸ‬ਓͷੜ‫ʹݍ׆‬Ԡͨ͡ϦΞϧλΠϜͳ๷൜Ϛοϓ͕ੜ੒͞ΕΔɽλͱͯ͠͸‫ؾ‬৅ி͕ Web ্Ͱެ։͍ͯ͠ΔσʔλΛ༻͍Δɽ

PRISM ಺Ͱ࢖༻͢Δࣄ݅৘ใͱͯ͠͸ɼͻΐ͏͝๷൜ωο֗಄൜ࡑσʔλʹର͠ɼ೥ɼ݄ɼ೔ɼ͕࣌ؒಉ͡‫ؾ‬৅σʔλΛτͷσʔλΛ࢖༻͍ͯ͠Δɽͻΐ͏͝๷൜ωοτͷࣄ݅৘ใ݁߹͢Δɽ͜ΕʹΑΓɼͦΕͧΕͷ֗಄൜ࡑ͕ൃੜͨ࣌ؒ͠͸ࣗવ‫هͰޠݴ‬ड़͞Ε͍ͯΔ͕ɼզʑ͸͜ͷςΩετ͔Βࣄͷ‫ؾ‬৅͕ಘΒΕɼ֗಄൜ࡑͱ‫ؾ‬৅σʔλΛ૊Έ߹Θͤͨ෼ੳ݅ൃੜͷ೔࣌΍ॅॴ౳ͷ৘ใΛநग़͠ɼؔ܎σʔλϕʔεʹ͕ՄೳʹͳΔɽ

֨ೲ͍ͯ͠Δɽ͞Βʹɼ͜ͷσʔλϕʔε͔ΒσʔλΛऔΓ2.

४ग़ͨ͢Ίͷ Web-API ΋։ൃ͍ͯ͠Δɽ͜ΕʹΑΓɼࣄ݅ͷ৘උใ͕༷ʑͳαʔϏε͔Β API Λ௨ͯ͠؆୯ʹऔಘͰ͖ΔΑ͏

2. 1 ๷൜৘ใαʔϏεʹͳ͍ͬͯΔɽ๷൜৘ใαʔϏε͸ɼ‫͕࡯ܯ‬ೝ஌ͨ͠ࣄ݅ͷ৘ใΛΠϯλʔ3.

ωοτΛ௨ͯ͡Ұൠॅຽʹ഑৴͢ΔαʔϏεͰ͋Δɽ৘ใΛ֗಄൜ࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳड͚औͬͨॅຽʹɼࣄ݅ʹର͢Δ‫ܯ‬ռΛ‫ڧ‬ΊΔΑ͏ʹଅ͢ૂ͍

3. 1 ͕֓͋Δɽ๷൜৘ใαʔϏεͷ୅දతͳ΋ͷͱͯ͠ɼిࢠϝʔ஍ҬͰ͸ͻͬͨ͘Γ΍νΧϯɼෆ৹ͳ੠ֻ͚౳ͷ֗಄൜ࡑཁϧΛར༻ͨ͠๷൜৘ใͷ഑৴΍ɼ๷൜Ϛοϓ͕‫͛ڍ‬ΒΕΔɽ͕࿈೔ൃੜ͍ͯ͠Δɽ2017 ೥ʹͻΐ͏͝๷൜ωοτͰ഑৴͞ిࢠϝʔϧʹΑΔ഑৴αʔϏε͸ɼϝʔϧΞυϨεΛొ࿥Εͨ൜ࡑ৘ใͷ͏ͪɼਆ‫ൃͰ಺ࢢށ‬ੜͨ֗͠಄൜ࡑ͸ 1221 ݅ͨ͠Ϣʔβʹରͯ͠ࣄ݅৘ใΛςΩετͰ഑৴͢Δ΋ͷͰ͋Ͱɼ1 ೔౰ͨΓ 3 ͔݅Β 4 ݅ͷ൜ࡑ͕഑৴͞Εͨ͜ͱʹͳΔɽΔɽ഑৴͞Εͨ৘ใ͸௨ৗ Web αΠτ্ʹΞʔΧΠϒ͞Εɼ͜ΕΒͷ֗಄൜ࡑ͔Β਎ΛकΔͨΊʹɼॅຽ͸஍Ҭͷ֗಄൜Ϣʔβ͸ա‫ڈ‬ͷࣄ݅৘ใ΋‫ؚ‬Ίͯ Web ϒϥ΢βͰӾཡ͢Δ͜ࡑͷಛੑΛཧղ͠ɼࣗ෼ࣗ਎ͷ਎ΛकΔ͜ͱ͕ॏཁͰ͋Δɽͱ΋Ͱ͖ΔɽαʔϏεʹΑͬͯ͸ɼࣗ෼ͷॅΜͰ͍Δࢢ΍۠֗಄൜ࡑʹ‫د‬༩͢ΔཁҼͱͯ͠͸༷ʑͳ΋ͷ͕ߟ͑ΒΕΔΛొ࿥ͯ͠ɼ഑৴৘ใͷൣғΛࢦఆͰ͖Δ΋ͷ΋͋Δɽྫ͕͑ɼ͜ΕΒ͸஍Ҭ΍ॅਓͷಛੑʹΑͬͯҟͳΔͱ༧૝͞ΕΔɽ͹ɼͻΐ͏͝๷൜ωοτͰ͸ɼಿ‫ॺ࡯ܯ‬؅಺ͷ৘ใͷ഑৴Λ‫ر‬·ͨɼ࣌ؒଳ΍‫ؾ‬৅౳ͷཁҼʹΑͬͯ΋ͦͷ೔ʹൃੜ͢Δ֗๬͢Ε͹ɼಿ‫͕ॺ࡯ܯ‬؅‫͢׋‬Δ۠Ҭͷࣄ݅ͷΈ͕഑৴͞ΕΔɽ಄൜ࡑ͕มԽ͢Δͱߟ͑ΒΕΔɽ͕ͨͬͯ͠ɼ֗಄൜ࡑʹର๷൜Ϛοϓͱ͸ɼա‫ڈ‬ͷࣄ݅ൃੜ৔ॴʹϚʔΧʔ΍ϐϯͰ͢ΔࣗӴͷͨΊʹ͸ɼ‫ࣗࡏݱ‬෼͕͍Δ஍఺ʹ͓͍ͯɼಉ͡Α͏໨ҹΛ͚ͭͨ஍ਤͷ͜ͱͰɼจষ͚ͩͰ͸෼͔ΓͮΒ͍ࣄ݅ͳঢ়‫گ‬ԼͰա‫Ͳʹڈ‬ͷΑ͏ͳ൜ࡑ͕‫͔ͨͬ͜ى‬Λ஌Δ͜ͱ͕ͷ஍ཧతͳൃੜঢ়‫گ‬Λɼ஍ਤΛ༻͍ͯ෼͔Γ΍͍ͯ͘͢͠Δɽେ੾Ͱ͋ΔɽຊষͰ͸‫ؾ‬৅σʔλʹண໨͠ɼਆ‫ࢢށ‬ͷ֗಄൜

2. 2 Φʔϓϯσʔλࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳΛߦ͏ɽΦʔϓϯσʔλͱ͸ɼ‫ػ‬ց൑ಡʹదͨ͠σʔλ‫Ͱࣜܗ‬ɼஶࣗ෼ࣗ਎͕ஔ͔Ε͍ͯΔঢ়‫گ‬Λઆ໌͢Δཁૉͱͯ͠ɼΧϨ࡞‫Ͳͳݖ‬ͷ੍‫͘ͳݶ‬ɼ୭΋͕ࣗ༝ʹ࢖༻ɼ‫ڞ‬༗Ͱ͖Δσʔλϯμʔ্ͷ݄΍༵೔ɼ‫ؒ࣌ͼٴ‬ଳ౳͕‫͛ڍ‬ΒΕΔɽ͞Βʹɼ‫ؾ‬Λࢦ͢ [5]ɽۙ೥ɼಛʹ੓෎΍࣏ࣗମʹ͓͍ͯɼެ։Մೳͳެ৅ཁૉͷதͰ΋୅දతͳ΋ͷͱͯ͠ɼ‫ؾ‬Թɼఱ‫͑ߟ͕ؾ‬ΒΕ

- 24 -—2—ද1ද2֗಄൜ࡑσʔλ‫ؾ‬৅σʔλΔɽͦ͜Ͱզʑ͸ɼҎԼͷ 5 ͭͷϦαʔνɾΫΤενϣϯʹ͍ͭͯௐ΂Δɽ
RQ1: Կ༵೔ʹ֗಄൜ࡑ͕ଟ͍͔
RQ2: Կ݄ʹ֗಄൜ࡑ͕ଟ͍͔RQ3: Կ࣌͝Ζʹ֗಄൜ࡑ͕ଟ͍͔
RQ4: ‫ؾ‬ԹʹΑͬͯ֗಄൜ࡑͷൃੜ͠΍͢͞͸ҟͳΔ͔
RQ5: ఱ‫ʹؾ‬Αͬͯ֗಄൜ࡑͷൃੜ͠΍͢͞͸ҟͳΔ͔
3. 2 ࢖༻σʔλ෼ੳͷͨΊʹɼ֗಄൜ࡑσʔλͱͯ͠ͻΐ͏͝๷൜ωοτ͔Βऔಘͨ͠σʔλΛɼ‫ؾ‬৅σʔλͱͯ͠‫ؾ‬৅ி͕ެ։ͯ͠
͍ΔσʔλΛͦΕͧΕ༻͍Δɽ͞Βʹɼ͜ΕΒೋͭͷσʔλΛ݁߹ͨ͠දΛ༻͍ͯ෼ੳΛߦ͏ɽ·ͣɼ֗಄൜ࡑσʔλऔಘͷͨΊʹɼ2. 3 Ͱड़΂ͨ Web-API
ਤ1Λར༻͢ΔɽWeb-API Λ༻͍ͯ 2017 ೥ʹਆ‫ൃͰࢢށ‬ੜ༵ͨ͠೔͝ͱͷ֗಄൜ࡑͷൃੜ਺ (ਆ‫ࢢށ‬ɼ2017 ೥)൜ࡑͷσʔλΛ‫͠ࡧݕ‬ɼද‫Ͱࣜܗ‬อଘ͢Δɽ·ͨɼ͜ͷද͔Βɼ೥ɼ݄ɼ೔ɼ࣌ؒɼ෼ɼ༵೔ΛͦΕͧΕ੾Γग़͢ɽอଘ͠•෩଎ (m/s)ͨ֗಄൜ࡑσʔλ͸ҎԼͷ߲໨Λ࣋ͭɽ•෩޲•‫ݱ‬஍‫ؾ‬ѹ (hPa)•ւ໘‫ؾ‬ѹ (hPa)•ৠ‫ؾ‬ѹ (hPa)•ఱ‫ؾ‬•Ӣྔ•ࢹఔ (km)•id•೥݄೔࣌•೥•݄•೔•࣌ؒ•෼‫ؾ‬৅σʔλͷ͏ͪɼఱ‫ؾ‬ɼӢྔɼࢹఔͷσʔλ͸ 6 ࣌ؒ͝ͱʹ•༵೔‫ه‬࿥͞Ε͍ͯΔͨΊɼ‫ه‬࿥͞Ε͍ͯͳ͍࣌ؒͷ஋͸ܽଛ஋ͱ•ࣄ݅छྨͳ͍ͬͯΔɽͦͷͨΊɼಉ͡ఱ‫ ͕ؾ‬6 ࣌ؒଓ͘ͱԾఆ͠ɼܽଛ•ࣄ݅ͷਂࠁ౓஋Λ௚લͷ஋Λ࢖༻ͯ݀͠ຒΊ͍ͯ͠Δɽอଘͨ͠‫ؾ‬৅σʔ•ॅॴλΛද 2 ʹࣔ͢ɽ•Ң౓•‫౓ܦ‬ͦͯ͠ɼอଘͨ֗͠಄൜ࡑσʔλͷશͯͷߦʹ͍ͭͯɼ೥ɼ݄ɼ೔ɼ͕࣌ؒಉ͡‫ؾ‬৅σʔλΛ‫ؾ‬৅σʔλͷද͔Β‫͠ࡧݕ‬ɼ֗಄൜ࡑσʔλͷ‫ޙ‬Ζʹ‫ؾ‬৅σʔλΛ݁߹͢Δɽ֗಄൜ࡑσʔอଘͨ֗͠಄൜ࡑσʔλΛද 1 ʹࣔ͢ɽλʹ‫ؾ‬৅σʔλΛ݁߹ͨ͠දΛද 3 ʹࣔ͢ɽ͜ͷද͔Βɼ֗࣍ʹɼ‫ؾ‬৅ிͷϗʔϜϖʔδ͔Β 2017 ೥ਆ‫ࢢށ‬ͷ 1 ࣌ؒ͝ͱͷ‫ؾ‬৅σʔλΛऔಘͯ͠ද‫Ͱࣜܗ‬อଘ͢Δɽ‫ؾ‬৅σʔλ͸಄൜ࡑ͕‫͖ͨى‬೔࣌ͷ‫ؾ‬৅σʔλΛಘΔ͜ͱ͕Ͱ͖Δɽ݁߹ͨ͠දΛ࢖༻͠ɼਆ‫͚͓ʹࢢށ‬Δ֗಄൜ࡑͷ෼ੳΛߦ͏ɽҎԼͷ߲໨Λ࣋ͭɽ•೥݄೔࣌•‫ؾ‬Թ (ˆ)•࣪౓ (%)•

߱ਫྔ (mm)•೔র࣌ؒ (࣌ؒ)

3. 3 ༵೔͝ͱͷ֗಄൜ࡑൃੜ਺
3. 1 Ͱड़΂ͨ RQ1 ʹ͍ͭͯௐ΂Δɽද 3 ͷ༵೔ͷ஋Λ࢖༻͢Δɽ෼ੳ͸ 2017 ೥ͷҰ೥ؒͷؒʹ‫͖֗ͨى‬಄൜ࡑʹ͍ͭͯ
ߦ͏ɽ2017 ೥ʹਆ‫ൃͰࢢށ‬ੜͨ֗͠಄൜ࡑͷ਺Λ༵೔͝ͱʹू‫͢ܭ‬ΔɽͦͷάϥϑΛਤ 1 ʹࣔ͢ɽάϥϑ͔Β͸ɼҎԼͷ͜ͱ͕෼͔ͬͨɽ

- 25 -—3—ද3

ਤ2

֗಄൜ࡑσʔλʹ‫ؾ‬৅σʔλΛ݁߹ͨ͠σʔλ݄͝ͱͷ֗಄൜ࡑͷൃੜ਺ (ਆ‫ࢢށ‬ɼ2017 ೥)

ਤ3࣌ؒ͝ͱͷ֗಄൜ࡑͷൃੜ਺ (ਆ‫ࢢށ‬ɼ2017 ೥)•֗಄൜ࡑ͕࠷΋ଟ͍ͷ͸ਫ༵೔ (235 ݅)Δɽ3. 3ɼ3. 4 Ͱߦͬͨ෼ੳͱಉ༷ɼ2017 ೥ʹਆ‫ൃͰࢢށ‬ੜ͠•౔༵ (122 ݅)ɼ೔༵ (100 ݅) ͸ฏ೔ʹൺ΂ɼ֗಄൜ࡑͷͨ֗಄൜ࡑͷ਺Λ࣌ؒ͝ͱʹू‫͢ܭ‬Δ͕ɼͻΐ͏͝๷൜ωοτൃੜ਺͕গͳ͘ɼ࠷΋ଟ͍ਫ༵ͷ൒෼ఔ౓ͷൃੜ݅਺ͱʹΑͬͯ഑৴͞ΕΔࣄ݅৘ใͷதʹ͸ɼࣄ݅ൃੜͷ࣌ࠁ͕໌ͳ͍ͬͯΔ‫͞ه‬Ε͍ͯͳ͍΋ͷ΋ଘࡏ͢Δɽ͜ͷΑ͏ͳࣄ݅͸զʑ͕࡞࿐ग़ɼ੠ֻ͚౳ͷ֗಄൜ࡑ͸ࢠͲ΋Λૂͬͨ΋ͷ͕ଟ͘ɼ֎Λग़า͘ࢠͲ΋͕গͳ͘ͳΔि຤͸֗಄൜ࡑͷ਺͕গͳ͘ͳ͍ͬͯΔͱߟ͑ΒΕΔɽ࣍ʹ RQ2 ʹ͍ͭͯௐ΂Δɽද 3 ͷ݄ͷ஋Λ࢖༻͢Δɽ2017೥ʹਆ‫ൃͰࢢށ‬ੜͨ֗͠಄൜ࡑͷ਺Λ݄͝ͱʹू‫͢ܭ‬ΔɽͦͷάϥϑΛਤ 2 ʹࣔ͢ɽάϥϑ͔Β͸ɼҎԼͷ͜ͱ͕෼͔ͬͨɽ͘ͳΔ܏޲ʹ͋Δू‫͍ͯ͠ܭ‬ΔɽͦͷάϥϑΛਤ 3 ʹࣔ͢ɽάϥϑ͔Β͸ɼҎԼͷ͜ͱ͕෼͔ͬͨɽ
•1 ݄ (76 ݅)ɼ2 ݄ (83 ݅)ɼ11 ݄ (83 ݅)ɼ12 ݄ (80 ݅) ͸֗಄൜ࡑ͕ଟ͍࣌ؒଳ͸ɼॱʹ 16 ࣌୆ (97 ݅)ɼ17 ࣌୆(85 ݅)ɼ15 ࣌୆ (80 ݅) ͱͳ͓ͬͯΓɼ༦ํͷ࣌ؒଳʹ֗಄൜ࡑ͕ूத͍ͯ͠Δ•ͦΕʹଓ͍ͯɼ18 ࣌୆ (71 ݅)ɼ21 ࣌୆ (68 ݅)ɼ19 ࣌୆(65 ݅)ɼ20 ࣌୆ (65 ݅) ͱɼ໷ʹ͔͚ͯͷ࣌ؒଳ΋֗಄൜ͦͷதͰ 8 ݄ (108 ݅) ͸ 6 ݄ɼ7 ݄ɼ9 ݄ͱൺ΂ͯ 20 ͔݅Β 30 ݅΄Ͳগͳ͘ͳ͍ͬͯΔ•ͨΊɼͻΐ͏͝๷൜ωοτʹΑͬͯ഑৴͞ΕΔ৘ใͷ͏ͪɼ֗֗಄൜ࡑͷൃੜ݅਺͕ଟ͍݄͸ɼॱʹ 9 ݄ (139 ݅)ɼ6 ݄(130 ݅)ɼ7 ݄ (129 ݅) ͱͳ͓ͬͯΓɼՆʹ֗಄൜ࡑ͕ଟ•ΔɽͦͷͨΊɼ0 ࣌ʹൃੜͨ͠ࣄ͕݅ա৒ʹ਺͑ΒΕͯ͠·͏಄൜ࡑͷൃੜ࣌ࠁ͕໌‫͞ه‬Ε͍ͯͳ͍΋ͷʹ͍ͭͯ͸ল͍ͯ

3. 4 ݄͝ͱͷ֗಄൜ࡑൃੜ਺

•੒ͨ͠σʔλϕʔε಺Ͱ͸ 0 ࣌ʹൃੜͨ͠ࣄ݅ͱͯ͠ѻΘΕࡑ͕ूத͍ͯ͠Δ•

2 ࣌୆ (10 ݅)ɼ3 ࣌୆ (6 ݅)ɼ4 ࣌୆ (10 ݅)ɼ5 ࣌୆ (5݅)ɼ6 ࣌୆ (11 ݅) ͱɼਂ໷ͷ࣌ؒଳ͸֗಄൜ࡑ͕͋·Γ࠷΋ଟ͍ 9 ݄ͷ 6 ׂҎԼͷൃੜ݅਺ͱͳ͓ͬͯΓɼౙͷ࣌ൃੜ͍ͯ͠ͳ͍‫ظ‬͸Նͷ࣌‫ʹظ‬ൺ΂ͯ֗಄൜ࡑ͕গͳ͘ͳΔ܏޲ʹ͋Δ•
෱Ԭ [3] ΋৮Ε͍ͯΔΑ͏ʹɼ͡Ί͡Ίͨ͠ෆշͳঢ়ଶ͕৺ͦΕʹର͠ɼ7 ࣌୆ (38 ݅)ɼ8 ࣌୆ (31 ݅) ͸ਂ໷ʹൺ΂ͯൃੜ݅਺͕૿͑Δཧঢ়ଶΛ΋ѱԽͤ͞ɼ൜ࡑ৺ཧΛ૿௕͢ΔՄೳੑ͕ߟ͑ΒΕ༦ํ͔Β໷ʹ͔͚ͯͷ࣌ؒଳ͕ಛʹ֗಄൜ࡑ͕ଟ͍ͱ͍͏ΔɽՆ‫֗ʹق‬಄൜ࡑ͕ଟ͍܏޲ʹ͋Δͷ͸ɼͦͷΑ͏ͳཧ༝͔ΒͰ͋Δͱਪଌ͞ΕΔɽ·ͨɼ6 ݄ɼ7 ݄ɼ9 ݄ʹൺ΂ɼ8 ݄݁Ռʹͳ͕ͬͨɼ͜Ε΋ RQ1 ͱಉ༷ʹࢠͲ΋Λૂͬͨ൜ࡑ͕͸΍΍֗಄൜ࡑ͕গͳ͍݁Ռͱͳͬͨɽ͜Ε͸Ն‫ٳ‬ΈͷͨΊଟ͍͜ͱ͕‫ݪ‬Ҽͱߟ͑ΒΕɼԼߍ࣌ͷੜెΛૂͬͨ΋ͷͱਪ֎Λग़า͍͍ͯΔࢠͲ΋ͷ਺͕‫͍ͯͬݮ‬ΔͨΊͱߟ͑ΒΕΔɽଌ͞ΕΔɽ·ͨɼேͷ 7 ͔࣌Β 9 ࣌ʹ൜ࡑ͕΍΍ଟ͘ͳ͍ͬͯΔ͜ͱ͔Βɼొߍ࣌ͷੜెΛૂͬͨ൜ࡑ΋ൃੜ͍ͯ͠Δͱ

3. 5 ࣌ؒ͝ͱͷ֗಄൜ࡑൃੜ਺
͜͜Ͱ͸ RQ3 ʹ͍ͭͯௐ΂Δɽද 3 ͷ࣌ؒͷ஋Λ࢖༻͢ߟ͑ΒΕΔɽͦͷҰํͰɼਂ໷ͷ 2 ͔࣌Β 6 ࣌ʹ͔͚ͯ͸൜- 26 -—4—ਤ4‫ؾ‬Թ͝ͱͷ 1 ࣌ؒ౰ͨΓͷ֗಄൜ࡑͷൃੜ਺ (ਆ‫ࢢށ‬ɼ2017 ೥)

ਤ5ఱ‫ͱ͝ؾ‬ͷ 1 ࣌ؒ౰ͨΓͷ֗಄൜ࡑͷൃੜ਺ (ਆ‫ࢢށ‬ɼ2017 ೥)ࡑ͕গͳ͘ͳ͍ͬͯΔɽਂ໷͸λʔήοτͱͳΔਓ͕֎Λ͋͜ͷάϧʔϓΛ༻͍ɼఱ‫Ͳ͕ؾ‬ͷΑ͏ʹ൜ࡑʹ‫د‬༩͢Δ͔Λ·Γग़า͍͍ͯͳ͍ͨΊɼ͜ͷ݁Ռʹͳͬͨͱਪଌ͞ΕΔɽௐ΂Δɽ

3. 6 ‫ؾ‬Թ͝ͱͷ֗಄൜ࡑͷൃੜ͠΍͢͞ఱ‫ؾ‬ͷ৔߹΋‫ؾ‬Թಉ༷ɼͦΕͧΕͷఱ‫͕਺ؒ࣌ʹͱ͝ؾ‬େ͖

RQ4 ʹ͍ͭͯௐ΂Δɽද 3 ͷ‫ؾ‬ԹͷσʔλΛ༻͍Δɽ༵೔ɼ͘ҟͳΔɽͦͷͨΊɼ1 ࣌ؒ౰ͨΓͷ൜ࡑͷൃੜ਺Ͱൺ΂Δɽ݄ɼ࣌ؒͱҟͳΓɼ‫ؾ‬Թ͸ͦΕͧΕͷ‫ؾ‬Թ͝ͱʹେ͖࣌ؒ͘਺

2017 ೥ͷਆ‫ࢢށ‬ͷఱ‫ؾ‬άϧʔϓ w Ͱͷ֗಄൜ࡑͷൃੜ਺ɼ‫ٴ‬͕ҟͳΔͷͰɼ1 ࣌ؒ౰ͨΓͷ֗಄൜ࡑͷൃੜ਺Ͱൺ΂Δɽ·ͼάϧʔϓ w Ͱͷ૯࣌ؒ਺Λௐ΂ɼͦΕͧΕ Nw ɼTw ͱ͢Δɽ

ͣɼ2017 ೥ͷਆ‫ࢢށ‬ͷ‫ؾ‬Թ t Ͱͷ֗಄൜ࡑͷൃੜ਺ͱ૯࣌ؒͦΕͧΕͷఱ‫ؾ‬άϧʔϓ w Ͱͷ 1 ࣌ؒ౰ͨΓͷ֗಄൜ࡑͷൃ਺Λௐ΂ɼͦΕͧΕ Nt ɼTt ͱ͢Δɽ‫ؾ‬Թ t Ͱͷ 1 ࣌ؒ౰ͨΓੜ਺ Fw ͸ҎԼͷࣜͰ‫ٻ‬ΊΒΕΔɽͷ֗಄൜ࡑͷൃੜ਺ Ft ͸ҎԼͷࣜͰ‫ٻ‬ΊΒΕΔɽFw = Nw /TwFt = Nt /TtFw ͷάϥϑΛਤ 5 ʹࣔ͢ɽάϥϑ͔Β͸ɼҎԼͷ͜ͱ͕෼Ft ͷάϥϑΛਤ 4 ʹࣔ͢ɽάϥϑ͔Β͸ɼҎԼͷ͜ͱ͕෼͔ͬͨɽ͔ͬͨɽ•౰ͨΓͷ൜ࡑͷൃੜ਺͸΄΅มΘΒͳ͍

1 ࣌ؒ౰ͨΓͷൃੜ݅਺͕ଟ͘ͳ͍ͬͯΔͷ͸ 34 ౓ (0.3•݅)ɼ28 ౓ (0.209 ݅)ɼ29 ౓ (0.205 ݅) ͷ࣌ؒଳͱͳͬͯ

•͍Δѱఱީͷ࣌ؒଳ (0.108 ݅) ͸੖Εɼಶʹൺ΂ɼ൜ࡑͷൃੜ཰͕௿͍ͦΕʹଓ͖ɼ24 ౓ (0.199 ݅)ɼ25 ౓ (0.187 ݅)ɼ26 ౓ (0.175•

੖Εͷ࣌ؒଳ (0.142 ݅) ͱಶͷ࣌ؒଳ (0.144 ݅) Ͱ̍࣌ؒ݅) ͷ࣌ؒଳ΋֗಄൜ࡑ͕ଟ͘ɼ‫ؾ‬Թ͕௿͍࣌ؒଳΑΓɼߴ͍࣌ؒଳͷํ͕֗಄൜ࡑ͕ൃੜ͠΍͍͢੖Εͷ࣌ؒଳͷ 1 ࣌ؒ౰ͨΓͷ൜ࡑͷൃੜ਺͸ 0.142 ݅ɼѱఱީͷ࣌ؒଳͷ 1 ࣌ؒ౰ͨΓͷൃੜ਺͸ 0.108 ݅ͱͳͬͨɽ͜
ΕΒͷ਺ࣈΛ 24 ഒ͠ɼ1 ೔౰ͨΓͷൃੜ਺ʹม‫͢׵‬Δͱɼ੖Εશମͱͯ͠ɼ‫ؾ‬Թ͕௿͍࣌ؒଳΑΓ΋‫ؾ‬Թ͕ߴ͍࣌ؒଳͷͷ৔߹͸ 3.408 ݅ɼѱఱީͷ৔߹͸ 2.592 ݅ͱͳΔɽ͜Ε͸ɼํ͕΍΍൜ࡑͷൃੜ཰͕ߴ͘ͳΔ݁Ռʹͳͬͨɽ3. 4 Ͱ΋ड़੖Εͷ 1 ೔ͱѱఱީͷ 1 ೔Λൺ΂Δͱɼ൜ࡑͷൃੜ਺͕໿ 0.8΂ͨΑ͏ʹɼॵ͘ෆշͳঢ়ଶ͸৺ཧঢ়ଶΛѱԽͤ͞ɼ൜ࡑ৺ཧ݅ҟͳΔ͜ͱΛҙຯ͢Δɽѱఱީͷ࣌ؒଳ͸ඞཁҎ্ʹ֎ΛΛ૿௕͢ΔՄೳੑ͕͋ΔͨΊɼ͜ͷ݁Ռʹͳͬͨͱਪଌ͞Εग़า͘ਓ͕‫ݮ‬ΓɼλʔήοτͱͳΔਓ͕‫ݮ‬Δ͜ͱ΍ɼ൜ࡑऀʹΔɽ͔͠͠ɼ‫ؾ‬Թ͸࣌ؒͱ΋૬͕ؔ͋Δɽ‫ؾ‬Թͷ௿͍ਂ໷΍ͱͬͯ΋ɼѱఱީͷ࣌ؒଳ͸֎Λग़า͘͜ͱ͕༕ᓔʹͳΔ͜ேํΑΓ΋༦ํͷํ͕൜ࡑ͕ଟ͍ͨΊɼ͜ͷ݁Ռʹͳ͍ͬͯͱ͕‫ݪ‬Ҽͱͯ͠ߟ͑ΒΕΔɽ
3. 8 ߟΔͱਪଌ͢Δ͜ͱ΋Ͱ͖Δɽ
3. 7 ఱ‫ͱ͝ؾ‬ͷ֗಄൜ࡑͷൃੜ͠΍͢͞࡯͜ΕΒͷ݁Ռ͔Βɼ֗಄൜ࡑ͕ൃੜ͢ΔཁҼͷҰͭͱͯ͠ɼ࠷‫ ʹޙ‬RQ5 ʹ͍ͭͯௐ΂Δɽද 3 ͷఱ‫ؾ‬ͷσʔλΛ༻͍ਓͷଟ͕͞ߟ͑ΒΕΔɽνΧϯɼ࿐ग़౳͸λʔήοτͱͳΔΔɽ2017 ೥ͷਆ‫Ͱࢢށ‬͸ɼշ੖ɼ੖ΕɼബಶɼಶɼӍɼໄɼΈਓ͕ಈ͍͍ͯΔ࣌ʹߦΘΕΔͨΊɼि຤͸গͳ͘ɼ࣌ؒଳͱͧ͠Εɼઇͷ 8 छྨͷఱ‫؍͕ؾ‬ଌ͞Ε͍ͯΔɽ͜͜Ͱ͸ɼ؆୯ͷͯ͸ੜె͕Լߍ͢Δ༦ํʹूத͍ͯ͠Δɽ·ͨɼѱఱީͷ࣌ͨΊ͜ΕΒͷఱ‫ؾ‬ΛҎԼͷ 3 άϧʔϓʹ෼ྨ͢Δɽؒଳ͸֎Λग़า͘ਓͷ਺͕‫ݮ‬ΔͨΊɼ֗಄൜ࡑ͕গͳ͘ͳͬ੖Εಶշ੖ɼ੖Εɹബಶɼಶѱఱީ͍ͯΔͱਪଌ͞ΕΔɽ·ͨɼ֗಄൜ࡑ͕Նͷ࣌‫ʹظ‬ଟ͘ɼ‫ؾ‬Թ͕ߴ͍࣌ؒଳʹ‫͜ى‬Γ΍͘͢ͳ͍ͬͯΔ͜ͱ͔Βɼॵ͕͞൜ࡑ৺ཧʹؔΘ͍ͬͯΔͷͰ͸ͳ͍͔ͱߟ͑ΒΕΔɽӍɼໄɼΈͧΕɼઇ

- 27 -—5—֗಄൜ࡑཁҼΛ‫ͨ͠༻׆‬ΞϓϦέʔγϣϯɾαʔϏεͷߟ࡯

4.

‫ݸͨ͠༻׆‬ਓదԠ๷൜৘ใαʔϏεͷ։ൃ,” ిࢠ৘ใ௨৴ֶձٕज़‫ڀݚ‬ใࠂɼୈ 116 ‫ר‬ɼpp.053–058ɼDec. 2016ɽ

3. Ͱߦͬͨ֗಄൜ࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳΛ‫ͨ͠༻׆‬ΞϓϦέʔγϣϯɾαʔϏεͱͯ͠ɼ৔ॴͱ࣌ࠁʹԠͨ֗͡಄൜ࡑͷൃੜ཰Λఏࣔ͢Δ΋ͷ͕ߟ͑ΒΕΔɽ۩ମతʹ͸ɼϢʔβͷ‫ࡏݱ‬஍ɼ࣌ࠁɼఱ‫ؾ‬౳ͷঢ়‫گ‬Λߟྀ͠ɼա‫ڈ‬ͷ֗಄൜ࡑσʔλ‫ͼٴ‬ɼؔ࿈͢Δσʔλʹ‫͍ͯͮج‬ɼ‫ࡏݱ‬஍఺ͷ֗಄൜ࡑൃੜϦεΫΛ౷‫ܭ‬తʹՄࢹԽ͢ΔɽϢʔβ͸ՄࢹԽ͞Εͨ৘ใΛࢀߟʹ͠ɼ֗಄൜ࡑʹର͢ΔࣗӴߦಈΛͱΔ͜ͱ͕Ͱ͖Δɽ֗಄൜ࡑʹର͢ΔࣗӴͷ‫͚͔ͼݺ‬͸Ͳͷ࣏ࣗମͰ΋ߦΘΕ͍ͯΔ͕ɼ୯ͳΔ‫͚͔ͼݺ‬Λ͢ΔΑΓɼա‫ڈ‬ͷσʔλΛఏ্ࣔͨ͠Ͱ‫͚͔ͼݺ‬Λߦͬͨํ͕ޮՌ͸ߴ͍ɽ·ͨɼࢢ಺ͰͲͷΑ͏ͳ൜ࡑ͕ଟ͍͔ͳͲͷϚΫϩͳ৘ใͰ͸ɼࢢຽ͕ࣗ෼ͷ਎ͷճΓͷঢ়‫گ‬Λ௫Ήʹ͸ෆे෼Ͱ͋ΔɽͦͷͨΊɼϢʔβҰਓͻͱΓͷ਎ͷճΓͷ֗಄൜ࡑͷঢ়‫گ‬ΛՄࢹԽ͢ΔΞϓϦέʔγϣϯ͕ඞཁͰ͋Δͱߟ͑Δɽ͓ΘΓʹ5.

ຊߘͰ͸ɼฌ‫͕ܯݝݿ‬഑৴͢Δ֗಄൜ࡑσʔλɼ‫ؾͼٴ‬৅ி͕ެ։͢Δ‫ؾ‬৅σʔλΛ૊Έ߹Θͤɼ֗಄൜ࡑʹ‫د‬༩͢ΔཁҼͷ෼ੳΛߦͬͨɽզʑ͸ಛʹ༵೔ɼ݄ɼ࣌ؒɼ‫ؾ‬Թɼ‫ͼٴ‬ఱ‫ؾ‬ͷσʔλʹண໨͠ɼ͜ΕΒͱ֗಄൜ࡑൃੜͱͷؔ࿈Λௐ΂ͨɽͦͷ݁ՌɼλʔήοτͱͳΔਓͷଟ͞ɼ·ͨɼ‫ؾ‬Թͷߴ͕֗͞಄൜ࡑʹ‫د‬༩͢ΔཁҼͱͳΔ܏޲͕͋Δ͜ͱ͕෼͔ͬͨɽ֗಄൜ࡑཁҼΛ‫͠༻׆‬ɼ৔ॴͱ࣌ࠁʹԠ͡ɼա‫ڈ‬ͷ֗಄൜ࡑσʔλ‫ؔͼٴ‬࿈͢Δσʔλʹ‫͍ͯͮج‬ɼ֗಄൜ࡑͷൃੜϦεΫΛՄࢹԽ͢ΔΞϓϦέʔγϣϯ͕ߟ͑ΒΕΔɽࠓ‫ޙ‬ͷ՝୊ͱͯ͠ɼΞϓϦέʔγϣϯͷϓϩτλΠϓ࣮૷Λߦ͍͖͍ͬͯͨͱߟ͍͑ͯΔɽ·ͨɼ‫ؾ‬৅σʔλҎ֎ͷΦʔϓϯσʔλΛ૊Έ߹Θͤͨ෼ੳ΍ɼଞͷ஍ҬͰ͸֗಄൜ࡑͷཁҼ͕ͲͷΑ͏ʹҟͳΔ͔΋ௐ΂͍͖͍ͯͨͱߟ͍͑ͯΔɽँࣙ͜ͷ‫ڀݚ‬ͷҰ෦͸ɼՊֶٕज़‫ڀݚ‬අʢ‫ج‬൫‫ ڀݚ‬B

16H02908ɼ18H03242, 18H03342ɼ‫ج‬൫‫ ڀݚ‬A 17H00731ʣ
ɼ͓ΑͼɼཱੴՊֶٕज़ৼ‫ஂࡒڵ‬ͷ‫ॿڀݚ‬੒Λड͚ͯߦΘΕ͍ͯΔɽจ
[1]

[2]

[3]
[4]
[5]

[6]
[7]
[8]

‫ݙ‬

੓ ෎ ޿ ใ Φ ϯ ϥ Π ϯ ɼ“Έ Μ ͳ Ͱ ͭ ͘ Ζ ͏ ҆ ৺ͷ ֗,” https://www.gov-online.go.jp/useful/article/201410/1.htmlɼNov. 2018ɽദ‫ݪ‬఩࿠ɼҏ౻ ಞɼۙߐ ོɼ“ίϯϏχΤϯεετΞʔͷηΩϡϦςΟʔʹؔΘΔ౎ࢢۭؒཁҼͷ‫ڀݚ‬,” ౎ࢢ‫ܭ‬ը࿦จूɼvol.32ɼpp.715–720ɼ1997ɽ෱Ԭོٛɼ“‫ؾ‬৅ɾ‫ق‬અͷ‫ײ‬৘ো֐΁ͷӨ‫ڹ‬,” ஍‫ڥ؀ٿ‬ɼvol.8ɼ
no.2ɼpp.221–228ɼ2003ɽฌ ‫ ࡯ ܯ ݝ ݿ‬ຊ ෦ ɼ“ͻ ΐ ͏ ͝ ๷ ൜ ω ο τ,” https://hyogo-bouhan.net/ɼNov. 2018ɽ૯ ຿ ল ɼ“Φ ʔ ϓ ϯ σ ʔ λ ઓ ུ ͷ ਪ ਐ ʛ Φ ʔ ϓ ϯ σ ʔ λ ͱ
͸,” http://www.soumu.go.jp/menu_seisaku/ictseisaku/ictriyou/opendata/index.htmlɼNov. 2018ɽਆ‫ࢢށ‬ɼ“ΦʔϓϯσʔλҰཡ,” http://www.city.kobe.lg.
jp/information/opendata/catalogue.htmlɼJuly 2018ɽ‫ؾ‬৅ிɼ“ա‫ڈ‬ͷ‫ؾ‬৅σʔλɾμ΢ϯϩʔυ,” https://www.
data.jma.go.jp/gmd/risk/obsdl/index.phpɼNov. 2018ɽ߳઒୓େɼ࿨ాՂେɼࠤഢ޾࿠ɼதଜ‫ڡ‬लɼ“ΦʔϓϯσʔλΛ- 28 -—6—