୍⯡♫ᅋἲே 㟁Ꮚ᝟ሗ㏻ಙᏛ఍                      ಙᏛᢏሗ‫ٻ‬‫ٻڇڮڞڤکڪڭگڞڠڧڠٻڡڪٻڠگڰگڤگڮکڤٻڠڣگ‬                     ‫ٻۏۍۊۋۀڭٻۇڼھۄۉۃھۀگٻڠڞڤڠڤ‬ࣾஂ๏ਓ ిࢠ৘ใ௨৴ֶձ৴ֶٕใ‫ٻڮڭڠڠکڤڢکڠٻکڪڤگڜڞڤکڰڨڨڪڞٻڟکڜٻکڪڤگڜڨڭڪڡکڤ‬                ‫ٻڄڎڋڈڔڌڋڍڃٻړڑڈړڌڋڍڮڤڪڧ‬THE INSTITUTE OF ELECTRONICS,TECHNICAL REPORT OF IEICE.
INFORMATION AND COMMUNICATION ENGINEERS‫ٻ‬‫ऺ܈‬ͷҐஔ෇͖ը૾ఏ‫࣌֐ࡂͮ͘جʹڙ‬ආ೉ߦಈଅਐΞϓϦέʔγϣϯͷఏҊࣨ୩ හੜ†௠ࢥೇ†ࠤഢ ޾࿠†தଜ ‫ڡ‬ल†,††† ਆ‫ށ‬େֶ ˟ 657–8501 ਆ‫ࢢށ‬ಿ۠࿡ߕ୆ொ 1–1†† ཧԽֶ‫ॴڀݚ‬ɾֵ৽஌ೳ౷߹‫ڀݚ‬ηϯλʔ˟ 103-0027 ౦‫౎ژ‬தԝ۠೔ຊ‫ ڮ‬1-4-1E-mail: †{musan,chensinan}@ws.cs.kobe-u.ac.jp, ††sachio@carp.kobe-u.ac.jp, †††masa-n@cs.kobe-u.ac.jp͋Β·͠೔ຊ͸ࡂ֐େࠃͰ͋Γɼࡂ֐࣌ʹ༻͍ΒΕΔࡂ֐৘ใͷ఻ୡखஈ͸ଟ‫ʹذ‬ΘͨΔɽ͔͠͠ͳ͕Βɼैདྷͷ఻ୡखஈ͸‫ݸ‬ʑਓʹԠͨ͡ࡂ֐৘ใΛಧ͚Δ͜ͱ͕ࠔ೉Ͱ͋Γɼॅຽ͸਎ͷճΓͷ‫ݥة‬Λద੾ʹ೺ѲͰ͖ͣɼࡂ֐͔Βͷಀ͛஗Εʹͭͳ͕Δɽຊ‫Ͱڀݚ‬͸‫ݸ‬ʑਓʹԠͨ͡ࡂ֐ঢ়‫گ‬ΛՄࢹԽ͠ɼద੾ͳආ೉ߦಈΛఏࣔ͢Δ Web ΞϓϦέʔγϣϯ CANDLEʢCrowd Assisted Navigation for Disaster Localization and EvacuationʣΛఏҊ͢ΔɽCANDLE ͸ආ೉தͷਓʑ͔Βࡂ֐৘ใΛऩू͠ɼ‫ؾ‬৅ி͕ఏ‫͢ڙ‬Δ৘ใͱซͤΔ͜ͱͰϢʔβͷपลͷࡂ֐ঢ়‫گ‬ΛՄࢹԽ͠ɼආ೉‫ࠂק‬౳ͷආ೉৘ใɼϢʔβͷ‫ࡏݱ‬஍ɼ‫ࠁ࣌ࡏݱ‬ɼऩूͨ͠ࡂ֐৘ใ౳Λߟྀͨ͠ආ೉ߦಈΛఏࣔ͢Δɽ͜ΕʹΑΓॅຽҰਓͻͱΓʹԠͨ͡ࡂ֐৘ใΛఏ‫͢ڙ‬Δ͜ͱ͕ՄೳʹͳΓɼϢʔβͷආ೉ҙ͕ࣝ޲্͠ɼద੾ͳආ೉ߦಈʹ‫͕ܨ‬Δ͜ͱ͕‫ظ‬଴͞ΕΔɽΩʔϫʔυ Φʔϓϯσʔλɼࡂ֐ɼආ೉ҙࣝɼWeb ΞϓϦ

Motivating Evacuation Actions in Disasters Using Crowds-Posted Pictureswith Location
Toshiki MUROTANI† , Shinan CHEN† , 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: †{musan,chensinan}@ws.cs.kobe-u.ac.jp, ††sachio@carp.kobe-u.ac.jp, †††masa-n@cs.kobe-u.ac.jp
Abstract Since Japan is a major disaster country, various means for delivering disaster information are used at
the time of disaster. However, the conventional disaster information is for the mass, and does not consider individual
circumstances and contexts. Therefore, some residents cannot grasp their surrounding dangers properly, and thus
fail to escape from disasters. In this paper, we propose a new Web application CANDLE (Crowd Assisted Navigation for Disaster Localization and Evacuation), which visualizes disaster information adapted for individuals, andsuggests appropriate evacuation actions. CANDLE collects micro disaster reports posted by people in evacuation.
It then visualizes the reports on the map, together with macro information provided by local governments and themeteorological agency. Considering evacuation alerts, user’s current location, the current time, and the collected
micro reports, CANDLE suggests appropriate evacuation actions to the user. As a result, it is expected that theevacuation awareness of the user is improved signiﬁcantly, and that the user can take a faster and more appropriate
evacuation action.
Key words open data, disaster, evacuation awareness, Web applicationͰͳ͘ɼຖ೥ࡂ֐ʹΑΔࢮऀɾߦํෆ໌ऀ͕ੜ͍ͯ͡Δɽͦͷ1. ͸ ͡ Ί ʹதͰಀ͛஗ΕʹΑͬͯࡂ֐ͷඃ֐ʹ͋͏ਓʑ͕Ұఆ਺ଘࡏ͢2018 ೥͸զ͕ࠃʹ͓͍ͯࡂ֐͕ଟൃ͢Δ೥ͱͳͬͨɽ͔͠Δ [1]ɽ͜ͷΑ͏ͳಀ͛஗Ε͸ࣗΒͷ໋Λ‫ͳͰ͚ͩ͢ࡽʹݥة‬͠ɼ೔ຊʹ͓͍ͯ͜ͷΑ͏ʹࡂ֐͕ଟൃ͢Δͷ͸ 2018 ೥͚ͩ͘ɼඃࡂऀશମͷ‫ॿٹ‬Λ஗Βͤͯ͠·͏ཁҼͷҰͭʹ΋ͳΓಘ

- 73 -—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Δɽ͜ͷ͜ͱ͔Βɼզ͕ࠃ͕ࡂ֐େࠃͰ͋Δ͜ͱΛཧղ͠ɼࡂ

Δ [3]ɽҎԼͰͦΕͧΕͷఆٛʹ͍ͭͯड़΂Δɽ֐࣌ʹ֤ॅຽ͕ద੾ͳආ೉ߦಈΛͱΔ͜ͱ͕ඇৗʹॏཁͰ͋ΔͱΘ͔Δɽආ೉४උɾߴྸऀ౳ආ೉։࢝͸ɼආ೉‫ࠂק‬ɼ·ͨ͸ආ೉ࢦࣔʢ‫ٸۓ‬ʣΛൃྩ͢Δ͜ͱ͕༧૝͞ΕΔ৔߹ʹൃྩ͞ΕΔɽཁࢧຊ‫͍͓ͯʹڀݚ‬͸ɼ্‫ه‬ͷಀ͛஗ΕʹΑͬͯඃ֐ʹ͋͏ਓͷதͰ΋ࡂ֐ൃੜ஍ʹ‫߹ډ‬Θͤͯ͠·ͬͨਓʑ΍ɼ਎ମతʹෆࣗԉऀͱͦͷࢧԉऀʹରͯ͠ආ೉։࢝Λଅ͠ɼͦΕҎ֎ʹආ೉ͷ४උΛ੔͑ΔΑ͏ଅ͢΋ͷͰ͋Δɽ༝Λ๊͍͑ͯΔਓʑͰ͸ͳ͘ɼආ೉ҙࣝͷܽ೗͔Βಀ͛஗ΕΔආ೉‫ࠂק‬͸ࡂ֐ʹΑΔඃ֐͕༧૝͞Εɼਓతඃ֐͕ൃੜ͢ΔਓʑΛର৅ͷத৺ͱ͢Δɽ͜ͷΑ͏ͳਓʑ͸ࡂ֐΁ͷ‫ػة‬ҙࣝՄೳੑ͕ߴ·ͬͨࡍʹൃྩ͞ΕΔɽ଎΍͔ʹආ೉ॴ΁ͷආ೉͕͢௿͍ɼ·ͨɼࣗ਎͸ࡂ֐ʹΑΔඃ֐ʹ͋͏͜ͱ͸ͳ͍ͱߟ͑ΔΑ͏ଅ͢ɼ·ͨ͸ආ೉ॴ΁ආ೉͠Α͏ͱ͢Δ͜ͱͰ‫ٴ͕ݥة‬Δਖ਼ৗੑόΠΞεʹؕΔ܏޲ʹ͋Δ [2]ɽ·ͨɼ‫ط‬ଘͷආ೉‫ק‬ͿΑ͏ͳ৔߹ʹɼۙ͘ͷ҆શͳ৔ॴ΍ɼࣗ୐಺ͷΑΓ҆શͳ৔ࠂ౳ͷආ೉৘ใͷ఻ୡखஈͰ͸ࣗ਎ͷपลঢ়‫گ‬Λ೺ѲͰ͖ͣɼॴ΁ͷආ೉Λଅ͢΋ͷͰ͋Δɽࢹ֮ੑʹ΋๡͍͠ɽ݁Ռͱͯ͠ద੾ͳආ೉ߦಈ͕ͱΕͣɼࡂ֐ආ೉ࢦࣔʢ‫ٸۓ‬ʣ͸ࡂ֐͕ൃੜ͢ΔͳͲͯ͠ঢ়‫͕͞گ‬Βʹѱʹ‫·ࠐ͖ר‬ΕΔՄೳੑ͕͋ΔɽҎԼʹ‫ط‬ଘͷ఻ୡखஈͷ໰୊఺Խ͠ɼਓతඃ֐ͷ‫ݥة‬ੑ͕͞Βʹߴ·ͬͨࡍʹൃྩ͞ΕΔɽ·

P1ʙP4 Λࣔ͢ɽͩආ೉ߦಈΛऔ͍ͬͯͳ͍ਓ΁‫ʹٸۓ‬ආ೉͢Δ͜ͱΛଅ͢ɼ·ͨ͸ආ೉ॴ΁ආ೉͠Α͏ͱ͢Δ͜ͱͰ‫Ϳٴ͕ݥة‬Α͏ͳ৔߹ʹɼP1. ैདྷͷϝσΟΞ͸ϛΫϩͳࡂ֐ঢ়‫گ‬Λ഑৴Ͱ͖ͳ͍ۙ͘ͷ҆શͳ৔ॴ΍ɼࣗ୐಺ͷΑΓ҆શͳ৔ॴ΁ͷආ೉Λଅ͢P2. ༷ʑͳཻ౓ͷࡂ֐৘ใΛࢹ֮తʹɼҰ‫ݩ‬తʹ೺Ѳ͢Δख΋ͷͰ͋Δɽஈ͕ͳ͍

2. 2 ආ೉৘ใͷ఻ୡखஈͱͦͷ໰୊఺P3. ආ೉ҙࣝͷ௿͍ॅਓ͕ආ೉ͷॏཁੑΛೝࣝͰ͖ͳ͍಺ֳ෎Ͱ͸ɼආ೉৘ใΛ࣮֬ʹ఻ୡ͢΂͘ɼՄೳͳ‫ݶ‬Γଟ༷

P4. ආ೉ҙࣝͷ௿͍ॅਓ͕ద੾ͳආ೉‫ܦ‬࿏Λ൑அͰ͖ͳ͍ͳखஈΛ૊Έ߹ΘͤΔ͜ͱΛ‫ج‬ຊͱ͍ͯ͠ΔɽҎԼʹओͳखஈͦ͜Ͱຊ‫Ͱڀݚ‬͸ɼආ೉ҙ͕ࣝܽ೗͍ͯ͠Δॅຽʹରͯ͠ɼࡂ֐࣌ʹ͓͚Δࣗ਎ͷঢ়‫گ‬Λ೺Ѳͤ͞Δ͜ͱͰආ೉ҙࣝΛ޲্ͱͦͷઆ໌Λ͍͔ͭࣔ͘͢ [3]ɽ•TV ์ૹɿආ೉‫ࠂק‬౳ͷ଎ใੑͷߴ͍৘ใ͕‫܁‬Γฦ͠ൃ৴ͤ͞ɼద੾ͳආ೉ߦಈʹͭͳ͛ͤ͞ΔΞϓϦέʔγϣϯ CAN-͞ΕΔɽ͔͠͠ɼ‫ʹط‬ඃ֐͕ੜ͍ͯ͡Δ஍Ҭͷ৘ใ͕์ૹ

DLEʢCrowd Assisted Navigation for Disaster Localization͞ΕΔ৔߹͕ଟ͍ͷͰɼආ೉͕ඞཁͳ஍Ҭʹରͯ͠ඞཁੑ

and EvacuationʣΛఏҊ͢Δɽ

͕ద੾ʹ఻ΘΒͳ͍͜ͱ͕͋Δɽಛఆͷࢢொଜ΍஍ҬΛର

CANDLE Ͱ͸্‫Ͱه‬ड़΂ͨ՝୊ P1ʙP4 Λղܾ͢ΔͨΊʹҎԼʹࣔ͢ 4 ͭͷΞϓϩʔν A1ʙA4 ΛͱΔɽ৅ͱͨ͠ৄࡉͳ৘ใ఻ୡͷ‫܁‬Γฦ͕͠೉͍͠৔߹΋ଟ͍ɽ•΋ड৴ՄೳͰ͋Δɽ͔͠͠ɼςϨϏʹൺ΂ϥδΦͷௌऔ཰A1. ‫ʹऺ܈‬ΑΔࡂ֐ঢ়‫گ‬ͷऩूɿ ϝσΟΞ౳Ͱऩू͢Δ͜͸௿͍͜ͱ͔ΒϥδΦ͚ͩͰ஍Ҭશମͷ৘ใ఻ୡΛߦ͏͜ͱ͕ࠔ೉ͳશࠃʹΘͨΔ‫ॴہ‬తࡂ֐৘ใͷऔಘ͕Մೳʹͱ͸೉͍͠ɽίϛϡχςΟ FM ͷ৔߹ɼࢢொଜ୯ҐͷৄࡉͳΔɽ

A2. ࡂ֐৘ใͷ஍ਤ্ͰͷՄࢹԽɾ‫ڞ‬༗ɿ Ϣʔβશһ͕ࢀরՄೳͳ஍ਤʹࡂ֐৘ใΛՄࢹԽ͢Δ͜ͱͰपลঢ়‫گ‬Λࢹͳ๷ࡂ৘ใͷ఻ୡ͕ՄೳͰ͋Δɽ•ࢢொଜ๷ࡂߦ੓ແઢɿࣗӦ໢Ͱ͋Δ͜ͱ͔Β଱ࡂ֐ੑ͕ߴ͘ɼࢢொଜ͕஍Ҭʹ௚઀৘ใΛ఻ୡͰ͖Δɽ͔͠͠ɼ԰֎֮తʹ೺Ѳ͠΍͘͢ͳΔɽ֦੠‫ث‬Λ࢖༻͢Δ৔߹͸‫ؾ‬৅৚݅ɼઃஔ৔ॴɼ‫ݐ‬෺ߏ଄౳A3. ‫ࡏݱ‬஍ʹରԠͨ͠ආ೉ߦಈͷఏҊɿ ‫ݸ‬ʑਓʹԠͨ͡ආʹΑͬͯԻ੠͕͔͖ফ͞ΕΔ͜ͱ΋ߟ͑ΒΕΔɽ·ͨɼ౎೉ߦಈͷࢦࣔɼఏҊΛߦ͏͜ͱͰ౰ࣄऀੑ͕૿͠ɼద੾ͳࢢ෦Ͱ͸ਓ‫͕ޱ‬ଟ͍͜ͱ͔Βશੈଳ΁ͷ‫ށ‬ผड৴‫ػ‬ͷ഑උආ೉ߦಈʹ‫͕ܨ‬Δɽ

A4. ‫ࡏݱ‬஍ʹରԠͨ͠ආ೉‫ܦ‬࿏ͷ༠ಋɿ पลͷࡂ֐ঢ়‫گ‬Λߟྀͨ͠ආ೉‫ܦ‬࿏Λఏࣔ͢Δ͜ͱͰϢʔβ͕ద੾ͳආ೉ॴ͕೉͍͠ঢ়‫͋Ͱگ‬Δɽ•‫ٸۓ‬଎ใϝʔϧɿࢢொଜ͕‫ܞ‬ଳి࿩ࣄ‫ܖͱऀۀ‬໿͢Δ͜ͱͰආ೉৘ใΛಛఆΤϦΞ಺΁Ұ੪഑৴Ͱ͖Δɽͳ͓ɼ഑৴΁҆શʹආ೉Ͱ͖ΔɽΤϦΞ಺ͷ‫ऀॅډ‬Ҏ֎΋౰֘ΤϦΞʹ‫߹ډ‬ΘͤΕ͹ड͚औΔ͜ͱ͕ՄೳͰ͋Δɽ഑৴Մೳ߲໨΍จࣈ਺੍‫ݶ‬͸‫ܖ‬໿͠ຊߘͰ͸্‫ه‬ͷΞϓϩʔνʹ‫͍ͯͮج‬ɼCANDLE Λ Web Ξ͍ͯΔ‫ܞ‬ଳి࿩ࣄ‫ͱऀۀ‬ͷར༻‫ن‬໿ʹΑͬͯҟͳΔɽϓϦέʔγϣϯͱͯ͠ઃ‫͢ܭ‬ΔɽఏҊ͢Δ CANDLE ʹΑͬͯࡂ֐࣌ͷपลঢ়‫͕گ‬ཧղ͠΍͘͢ͳΓɼආ೉ҙ͕ࣝ޲্͠ɼద•੾ͳආ೉ߦಈʹ‫͕ܨ‬Δ͜ͱ͕‫ظ‬଴Ͱ͖Δɽ

2. ४ϥδΦ์ૹɿ‫ܞ‬ଳੑʹ༏Εɼి஑͕͋Ε͹ఀి࣌ʹ͓͍ͯTwitter ౳ ͷ SNSʢSocial Networking ServiceʣɿTwitter ౳ͷ SNS Ͱ͸ొ࿥͞Εͨར༻ऀಉ࢜ͰϦΞϧλΠϜͳ৘ใަ‫͕׵‬ՄೳͰ͋Δɽ͔͠͠ɼར༻ऀͷࢥ͍ࠐඋΈ΍‫ͨͬޡ‬৘ใ͕఻೻ɼ֦ࢄ͞ΕΔՄೳੑ͕͋Δɽ

2. 1 ආ೉৘ใʹ͍ͭͯ
2. 3 ආ೉ҙࣝͷܽ೗ආ೉৘ใ͸஍Ҭͷঢ়‫گ‬Λߟྀͨ͠͏͑Ͱ֤ࢢொଜͷ࣏ࣗମʹຊઅͰ͸ࡂ֐࣌ʹ͓͍ͯආ೉ҙࣝͷܽ೗͔Βద੾ͳආ೉ߦಈ

ΑΔ൑அͰग़͞ΕΔ΋ͷͰ͋Γɼ‫ࡏݱ‬͸ආ೉४උɾߴྸऀ౳ආ
೉։࢝ɼආ೉‫ࠂק‬ɼආ೉ࢦࣔʢ‫ٸۓ‬ʣͷ 3 ஈ֊ʹ෼͚ΒΕ͍ͯΛऔΒͳ͍ओͳཧ༝ʹ͍ͭͯड़΂Δɽ- 74 -—2—

·ͣɼฏ੒ 22 ೥ 6 ݄ 11 ೔ʙ7 ݄ 19 ೔ͷؒʹେӍʹΑΔਫ
֐Ͱඃࡂͨ͠ 5 ஍Ҭʹରͯ͠ɼ಺ֳ෎͕ߦͬͨආ೉‫ࠂק‬ɾආ೉ࢦࣔʹؔ͢ΔΞϯέʔτௐࠪ [4] Ͱ͸ɼආ೉‫ࠂק‬ɾආ೉ࢦࣔΛड͚ͨ͏͑Ͱࣗ୐ʹͱͲ·ͬͨͱ౴͑ͨਓ͸ճ౴ऀ 1567 ਓʹର͠ɼ384 ਓͰ͋ͬͨɽࣗ୐ʹͱͲ·ͬͨͱ౴͑ͨ 384 ਓͷ͏ͪ 186 ਓ͸ࢢҬશମͰආ೉‫͞ྩൃ͕ࠂק‬Ε͍ͯͨ‫ذ‬ෞ‫ݝ‬ՄࣇࢢೳΛ࣮‫͢ݱ‬Δɽ

•F1ɿࡂ֐ঢ়‫گ‬ͷࡱӨͱ౤ߘ

•

F2ɿࡂ֐৘ใͷऔಘͱՄࢹԽ

•F3ɿආ೉ߦಈͷఏҊ

•F4ɿආ೉‫ܦ‬࿏ͷ༠ಋͷॅຽͰ͋ΔɽՄࣇࢢ͔Βͷճ౴ऀ਺͸ 370 ਓͰ͋Δ͜ͱ͔Β

3. 2 શମΞʔΩςΫνϟՄࣇࢢͷॅຽ͸ 50.27%ͷׂ߹Ͱආ೉ߦಈΛऔ͍ͬͯͳ͍͜ͱ

ਤ 1 ʹఏҊ͢Δ Web ΞϓϦέʔγϣϯ CANDLE ͷશମΞʔ͕Θ͔Δɽ·ͨɼલड़ͷ 384 ਓͷࣗ୐ʹͱͲ·ͬͨཧ༝ʹ͓͍ΩςΫνϟΛࣔ͢ɽCANDLE ͸ɼ࣏ࣗମ͔Βͷආ೉৘ใͱ‫ؾ‬

ͯɼ144 ਓ͕ʮࣗ෼ʹඃ֐͕‫ͱͿٴ‬͸ߟ͍͑ͯͳ͔ͬͨʯͱ౴৅ி͔Βͷ๷ࡂ‫ؾ‬৅৘ใΛऔಘ͢Δ৘ใΫϩʔϥɼ৘ใΫϩʔ͍͑ͯΔɽϥʹΑͬͯେҬతࡂ֐৘ใΛ֨ೲ͢ΔϚΫϩ DBɼ஍ཧ৘ใγ࣍ʹ‫޿ཱݝ‬ౡେֶେֶӃ‫ܦ‬Ӧ؅ཧ‫ڀݚ‬Պ͕ߦͬͨฏ੒ 30 ೥εςϜ͔Βආ೉ॴ΍ࡂ֐ൃੜ༧૝۠ҬΛऔಘ͢ΔΠϯϙʔλɼ7 ݄߽Ӎͷආ೉ҙࣝͱߦಈʹؔ͢ΔΞϯέʔτௐࠪ [5] Ͱ͸޿ΠϯϙʔλʹΑͬͯආ೉࣌ʹඞཁͳ৘ใΛ֨ೲ͢Δආ೉ DBɼౡࢢ಺ͷ੒ਓஉঁ 1,000 ਓΛର৅ͱ͓ͯ͠Γɼ͏ͪ༗ޮճ౴਺‫͕ऺ܈‬౤ߘ͢Δࡂ֐৘ใΛ֨ೲ͢ΔϛΫϩ DBɼࡂ֐৘ใͷ౤

͸ 871 Ͱ͋ΔɽΞϯέʔτͰ͸ա‫ڈ‬ͷආ೉‫ࠂק‬ɼආ೉ࢦࣔͷൃߘΛ࣮‫͢ݱ‬Δ‫ػ‬ೳ F1ɼࡂ֐৘ใͷՄࢹԽΛ࣮‫͢ݱ‬Δ‫ػ‬ೳ F2ɼྩͰආ೉ͨ͠ਓͷׂ߹͸Θ͔ͣ 4.3%ͱͳ͓ͬͯΓɼฏ੒ 30 ೥ආ೉ߦಈͷఏҊΛ࣮‫͢ݱ‬Δ‫ػ‬ೳ F3ɼආ೉‫ܦ‬࿏ͷ༠ಋΛ࣮‫͢ݱ‬Δ

ͷ 7 ݄߽Ӎͷࡍʹಛผ‫ܯ‬ใ͕ൃྩ͞Εͨ͏͑ͰԿ΋४උΛ͠ͳ‫ػ‬ೳ F4 ͷ 9 ͭͷཁૉͰߏ੒͞ΕΔɽ·ͣɼਤࠨ্ͷ࣏ࣗମ͔͔ͬͨͱ౴͑ͨਓ͸ 328 ਓʢ37.7%ʣʹ্ͬͨɽ·ͨ͜ͷಛผΒආ೉৘ใΛɼͦͷԼͷ‫ؾ‬৅ி͔Β๷ࡂ‫ؾ‬৅৘ใΛ৘ใΫϩʔ‫ܯ‬ใΛड͚ͨ͏͑Ͱ 623 ਓʢ71.5%ʣͷਓ͕ආ೉͢Δඞཁ͸ͳϥΛ༻͍ͯఆ‫ظ‬తʹऔಘ͠ɼਤதԝͷϚΫϩ DB ʹ֨ೲ͢Δɽ͍ͱߟ͑ɼආ೉ߦಈΛͱΒͳ͔ͬͨɽલड़ͷආ೉ߦಈΛͱΒͳ·ͨɼϢʔβ͔Βͷࡂ֐৘ใΛ‫ػ‬ೳ F1 Λ༻͍ͯਤதԝ্ͷϛ͔ͬͨ 623 ਓʹ͓͍ͯɼආ೉͠ͳ͔ͬͨཧ༝ʮࣗ෼ͷՈ͸େৎΫϩ DB ʹ֨ೲ͠ɼਤࠨԼͷ஍ཧ৘ใγεςϜ͔Βආ೉ॴ΍ࡂ෉ͩͱࢥͬͨʯʹର͠ɼ318 ਓʢ51.0%ʣ͕͋ͯ͸·Δͱ౴͑ͯ֐ൃੜ༧૝۠ҬΛΠϯϙʔλΛ༻͍ͯਤதԝԼͷආ೉ DB ʹ͍֨ΔɽҎ্ͷ͜ͱ͔Βආ೉ҙࣝͷܽ೗͕σʔλʹ΋දΕ͍ͯΔೲ͢Δɽ‫ػ‬ೳ F2 Ͱ͸ɼਤࠨதԝͷ Map αʔϏεͷ API ͔Β͜ͱ͕Θ͔Δɽ஍ਤΛऔಘ͠ɼϛΫϩ DB ͱϚΫϩ DB ͷࡂ֐৘ใΛՄࢹԽ͢

2. 4 ؔ ࿈ ‫ڀ ݚ‬Δɽ‫ػ‬ೳ F3 Ͱ͸ɼϛΫϩ DB ͱϚΫϩ DB ͷ৘ใΛ༻͍ͯආຊ‫͘ͳͰ͚ͩڀݚ‬ɼ๷ࡂʹؔ͢Δ‫ڀݚ‬ɾ։ൃ͸͜Ε·Ͱʹ೉ߦಈͷఏҊΛߦ͍ɼ‫ػ‬ೳ F4 Ͱ͸ɼ3 ͭ͢΂ͯͷ DB ͔Βͷ΋਺ଟ͘ߦΘΕ͍ͯΔɽਆ‫ࢢށ‬ͷ‫ػة‬؅ཧࣨʹ͓͍ͯ΋ NPO

৘ใͱ Map αʔϏε͔Βͷ஍ਤΛ༻͍ͯආ೉‫ܦ‬࿏Λੜ੒͢Δɽ๏ਓίϛϡχςΟϦϯΫ΍ LINE ‫ࣜג‬ձࣾͱ‫͠ྗڠ‬ɼLINE ͷҎ߱Ͱ͸ CANDLE ʹ͓͚Δ֤‫ػ‬ೳͷৄࡉʹ͍ͭͯड़΂ΔɽνϟοτϘοτΛ‫͢༻׆‬Δ͜ͱͰൃࡂ௚‫ޙ‬ͷ৘ใΛϢʔβ͔Β

3. 3 F1ɿࡂ֐ঢ়‫گ‬ͷࡱӨͱ౤ߘू໿͢ΔγεςϜͷ։ൃʹ͍͋ͨͬͯΔ [6]ɽ͜ͷγεςϜͰ‫ॴہ‬తͳࡂ֐Λද͢ϛΫϩͳࡂ֐৘ใΛ౤ߘ͢Δ‫ػ‬ೳͰ͋Δɽ͸ू໿ͨ͠৘ใΛ஍ਤ্ʹՄࢹԽ͢Δ͜ͱͰ࣏ࣗମɼॅຽͱ΋ࡱӨ͸ΞϓϦέʔγϣϯ͔Β‫ܞ‬ଳ୺຤΁ΞΫηε͢Δ͜ͱͰ࣮ʹࡂ֐ঢ়‫گ‬Λ೺ѲͰ͖Δπʔϧͱͳ͍ͬͯΔɽ‫͢ݱ‬Δɽ࣍ʹɼ౤ߘ͢Δσʔλ߲໨ʹͲͷΑ͏ͳ৘ใΛ‫ͤ·ؚ‬๷ࡂΞϓϦʮϋβʔυνΣοΧʔʯ͸ɼϢʔβͷ‫ࡏݱ‬஍ʹԠΔ΂͖͔ʹ͍ͭͯߟ͑Δɽͨࣗ͡વࡂ֐ͷඃ֐૝ఆΛ֬ೝͰ͖ɼࡂ֐͝ͱʹҟͳΔഔମ͔಺༰ͷमਖ਼ɼ࡟আΛՄೳͱ͢ΔͨΊͷϢʔβ IDɼ৘ใ͕͍ͭΒ৘ใΛऩू͢ΔखؒΛল͘͜ͱ͕Ͱ͖Δ [7]ɽ͔͠͠ɼ࢖༻

ͷ΋ͷ͔೺Ѳ͢ΔͨΊͷ౤ߘ࣌ࠁ͕ඞཁͰ͋Δɽ·ͨɼ஍ਤ্σʔλ͕੩తͳ΋ͷͰ͋Δ͜ͱ͔ΒϦΞϧλΠϜͳঢ়‫گ‬ͷมԽʹදࣔ͢ΔͨΊͷҐஔ৘ใɼඃ֐ͷ۩ମੑΛද͢ਂࠁ౓ͱঢ়‫گ‬Λ஌Δ͜ͱ͸Ͱ͖ͳ͍ɽࣸਅɼ·ͨɼॅॴɼ౤ߘऀͷίϝϯτ΋ॏཁͳཁૉͱͳΔɽ͜ࡳຈࢢͰ͸๷ࡂΞϓϦʮͦͳ͑ʯΛ։ൃ͍ͯ͠Δ [8]ɽආ೉৘

͜ʹ͓͚Δඃ֐ͷਂࠁ౓͸ʮ1ɿ͜ΕҎ্ඃ֐͕ͰΔ͜ͱ͸ͳ͞ใɼ๷ࡂ‫ؾ‬৅৘ใɼආ೉৔ॴ౳ΛදࣔͰ͖ɼࡂ֐༻఻‫ݴ‬൛΍҆൱ͦ͏ͩʯɼʮ2ɿࠓ‫͞ޙ‬Βʹඃ֐͕ੜ͡ΔՄೳੑ͕͋Δʯɼʮ3ɿۙ৘ใΛ‫͖Ͱࡧݕ‬Δɽ·ͨɼ࿈‫ࡁܞ‬ΈͷϢʔβ΁ࣗ਎ͷঢ়‫ͱگ‬Ґͮ͘ͷ͸େม‫͋Ͱݥة‬Δʯͷ 3 ஈ֊ͱͯ͠‫ن‬ఆ͢Δɽஔ৘ใΛൃ৴ՄೳͰ͋ΓɼAR Λ࢖ͬͨ‫౓ݥة‬ମ‫ݧ‬Λ͢Δ͜ͱ΋Ͱ͖Δɽ͔͠͠ɼൃੜͨ͠ඃ֐৘ใΛࢹ֮తʹ֬ೝ͢Δ͜ͱҎ্ͷ͜ͱ͔ΒɼCANDLE Ͱ͸ࡂ֐ঢ়‫گ‬ͷ౤ߘʹ͍ͭͯҎԼͷσʔλ߲໨Λ‫ن‬ఆ͢Δɽ͕Ͱ͖ͳ͍ͨΊආ೉࣌ʹपғͷঢ়‫گ‬Λ೺Ѳ͢Δ͜ͱ͕೉͍͠ɽ

•uidɿ౤ߘऀͷϢʔβ ID

3. ఏ Ҋ ख ๏•datetimeɿࡂ֐৘ใΛ౤ߘͨ͠ࡍͷ࣌ࠁ

3. 1 ‫ ػ‬ೳ ཁ ݅•

locationɿࡂ֐৘ใΛ౤ߘͨ͠஍఺ͷҢ౓‫౓ܦ‬‫͔ऺ܈‬ΒͷσʔλͱαʔϏε͔ΒͷσʔλΛऩू͠ɼར༻͢

•levelɿϢʔβ͕બ୒͢Δඃ֐ঢ়‫گ‬ͷਂࠁ౓

Δ͜ͱͰɼࡂ֐࣌ʹ͓͚Δपลঢ়‫گ‬ΛҰ‫ݩ‬తʹ೺Ѳͤ͞ɼආ೉

•imagepathɿϢʔβ͕ࡱӨͨ͠ඃ֐ঢ়‫گ‬ͷࣸਅҙࣝΛߴΊͤ͞ΔͨΊͷγεςϜΛఏҊ͢Δɽ1 ষʹ͓͚Δ՝•addressɿࡂ֐৘ใΛ౤ߘͨ͠஍఺ͷॅॴ୊ P1ʙP4 Λ౿·͑ɼCANDLE ʹ͓͍ͯҎԼͷ F1ʙF4 ͷ‫ػ‬•commentɿඃ֐ঢ়‫ʹگ‬ର͢ΔϢʔβͷίϝϯτ

- 75 -—3—CANDLE AppCANDLE Service
Municipality

micro disaster
informationDBevacuation
information
MeteorologicalAgency

Information
Crawler

meteorologicalinformation

MapService

GIS
portalmacro disaster
information
DB

F1: Post micro
disasterinformation

F2: Generatedisasterinformation
sharing map

F3: Suggest
evacuation
actionAPIgeographicdata

CA user in evacuation
NDL
EA
PI

Importerevacuation
informationDBevacuation
spot data

F4: Generate
evacuationrouteuser who areunaware of dangerਤ 2 Visualization example in CANDLE

ਤ 1 Architecture of CANDLE͜ͷσʔλ߲໨Ͱද͞ΕΔσʔλΛ CANDLE Ͱ࢖༻͢ΔϛΫ֋࢟ϩͳࡂ֐৘ใͱ͠ɼσʔλϕʔε΁ͱૠೖ͢Δ͜ͱͰࡂ֐৘ใͷ౤ߘΛ࣮‫͢ݱ‬Δɽඈೋ৚ๅ͗ड़ͱ͏Ζ͖

ද 1 ʹਆ‫Ͱ಺ࢢށ‬ਫ຅ɼؕ຅౳ͷඃ֐͕ੜͨ͡ࡍͷ౤ߘσʔnoyesλͷྫΛࣔ͢ɽ͜ͷྫ͸ਆ‫ࢢށ‬ಿ۠Λத৺ͱͯ͠ 2019 ೥ 2 ݄ϝέϫ͵ࡄ֒৚ๅͶ‫͚Ͱخ‬఑Ҍ

12 ೔ 15 ࣌ࠒͷ 6 ݅ͷࡂ֐৘ใ౤ߘΛද͍ͯ͠Δɽσʔλ͔ඈೋࢨࣖʤ‫ٺە‬ʥඈೋ‫ࠄש‬ඈೋ६ඍʀ߶ྺं౵ඈೋ֋࢟Βɼ3 ൪໨ͷಓ࿏ؕ຅͸ਂࠁ౓ͷϨϕϧ͕ 3 Ͱ͋Γɼ͙͢ʹආགྷࢩԋंͲ͍Ζ೉͢΂͖ঢ়ଶͰ͋Δ͜ͱΛ͍ࣔͯ͠Δɽ1, 5, 6 ݅໨ͷσʔλͰyesno͸ಓ࿏ʹࠓ‫͞ޙ‬ΒͳΔඃ֐͕ੜ͡ΔՄೳੑ͕͋Δ͜ͱΛࣔͯ͠
͍ΔɽҎ߱ͷ‫ػ‬ೳઆ໌ʹ͓͍ͯ΋ಉ༷ͷσʔλྫΛ༻͍Δɽ
ͨ͹৖ͲͲ͘ΖඈೋߨಊʤՊͶͳʹΉΖ͞ͳ΍ߡ͓ΖʥΝͳΔͦΖ

3. 4 F2ɿࡂ֐৘ใͷऔಘͱՄࢹԽࡂ֐৘ใΛ໨ʹ‫͑ݟ‬Δ‫Ͱܗ‬දࣔ͢Δ͜ͱͰϦΞϧλΠϜʹपඈೋΝ֋࢟ͦ͠Ζลঢ়‫گ‬Λ֬ೝͤ͞Δ‫ػ‬ೳͰ͋Δɽਤ 1 ʹ͓͚Δ Map αʔϏεඈೋ६ඍΝ֋࢟ͦ͠Ζয়‫֮ڱ‬೟͹‫ܩ‬କश྅͔Βͷ஍ਤɼϛΫϩ DB ͔ΒͷϛΫϩͳࡂ֐৘ใɼϚΫϩ DB
ਤ 3 Evacuation action suggestion ﬂowchart1͔Βͷ๷ࡂ‫ؾ‬৅৘ใΛऔಘ͠ɼऔಘͨ͠σʔλ͝ͱͷҐஔ৘ใʹԠͯ͡஍ਤ্ʹ഑ஔ͢Δɽਤ 2 ʹද 1 ͷσʔλΛ༻͍ͨදࣔ֋࢟ྫΛࣔ͢ɽը໘্ʹ੨͍໼ҹͰදࣔ͞Ε͍ͯΔͷ͕ϢʔβΛද͓ͯ͠Γɼ6 ͭදࣔ͞Ε͍ͯΔ‫ײ‬୰ූΛ༻͍ͨԫ৭͍ΞΠίϯ‫ౕݧث‬͹ՆࢻԿ͕౤ߘ͞ΕͨϛΫϩͳࡂ֐৘ใΛද͢ɽϛΫϩͳࡂ֐৘ใͷΞΠίϯΛλοϓ͢Δ͜ͱͰ౤ߘ࣌ࠁɼඃ֐ঢ়‫ࣸگ‬ਅɼॅॴɼ౤๹ࡄ‫ـ‬ে৚ๅ͗
ड़ͱ͏Ζ͖ߘऀͷίϝϯτ͕දࣔ͞ΕΔɽ·ͨɼ੺৭Ͱ৭෇͚͞Εͨ෦෼

noyes͕ϚΫϩͳࡂ֐৘ใΛද͓ͯ͠ΓɼಉҰͷࢢொଜΤϦΞʹෳ਺ͷ๷ࡂ‫ؾ‬৅৘ใ͕ൃྩ͞Ε͍ͯΔ৔߹͸ɼՄࢹԽ͢ΔϚΫϩͳܱๅ஭қๅϤʖδ͹൓இϤʖδ͹൓இϤʖδ͹൓இͨ͹৖ͲͲ͘ΖඈೋߨಊʤՊͶͳʹΉΖ͞ͳ΍ߡ͓Ζʥ
ΝͳΔͦΖඈೋΝ֋࢟
ͦ͠Ζඈೋ६ඍΝ֋࢟ͦ͠Ζಝพܱๅࡂ֐৘ใΛࡂ֐ͷछྨͰ੾Γସ͑Δɽ

3. 5 F3ɿආ೉ߦಈͷఏҊϚΫϩ͓ΑͼϛΫϩͳࡂ֐৘ใʹ‫ࠓ͍ͯͮج‬ɼͦͷϢʔβ͕ͱΔ΂͖ආ೉ߦಈΛఏҊ͢Δ‫ػ‬ೳͰ͋ΔɽCANDLE Ͱ࠾༻͢Δ‫ج‬ຊతͳϙϦγʔ͸ҎԼͷͱ͓ΓͰ͋Δɽ•ආ೉৘ใ͕ެ։͞Ε͍ͯΔ৔߹ɿ಺༰ʹԠͨ͡ආ೉ߦಈΛࢦࣔ͢Δɽ•

ਤ 4 Evacuation action suggestion ﬂowchart2ආ೉৘ใ͕ެ։͞Ε͍ͯͳ͍৔߹ɿϛΫϩͳࡂ֐৘ใʹ‫ج‬͍ͮͨ‫౓ݥة‬ΛՄࢹԽ͠ɼ๷ࡂ‫ؾ‬৅৘ใͷ༗ແΛ֬ೝ͢Δɽ•য়‫֮ڱ‬೟͹‫ܩ‬କ•๷ࡂ‫ؾ‬৅৘ใ͕ൃද͞Ε͍ͯΔ৔߹ɿ಺༰ʹԠͨ͡ආ೉ߦ๷ࡂ‫ؾ‬৅৘ใ͕ൃද͞Ε͍ͯͳ͍৔߹ɿϛΫϩͳࡂ֐৘ใʹΑΔ‫౓ݥة‬Λදࣔ͠ɼঢ়‫֬گ‬ೝͷ‫ܧ‬ଓΛ‫ק‬ΊΔɽಈΛఏҊ͠ɼϛΫϩͳࡂ֐৘ใʹΑΔ‫౓ݥة‬Λදࣔ͢Δɽ

- 76 -—4—ද 1 CANDLE ͷσʔλྫXLG

GDWHWLPH

ORFDWLRQOHYHOLPDJHSDWKDGGUHVV

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KWWSVVHUYHUFDQGOHLPJKGO]MSJ ฎ‫ݟށ‬ਈ‫ࢤރ‬ṙۢు஬͗ౙΗͱ͏Ζ

FDQGOHXVHU ɾ

KWWSVVHUYHUFDQGOHLPJEL\HIMSJฎ‫ݟށ‬ਈ‫ࢤރ‬ṙۢಕ࿑‫ؗ‬ງ

FDQGOHXVHU ɾ

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KWWSVVHUYHUFDQGOHLPJEL\HIMSJฎ‫ݟށ‬ਈ‫ࢤރ‬ṙۢ

FDQGOHXVHU ɾ

KWWSVVHUYHUFDQGOHLPJEL\HIMSJฎ‫ݟށ‬ਈ‫ࢤރ‬஦ԟۢ ಕ࿑Ͷّ࿀͍Εಕ࿑͗ਭງ͢ͱ͏ΖҎ্ͷϙϦγʔʹ‫͖ͮج‬ɼCANDLE ͷආ೉ߦಈͷఏҊϩδοΫΛϑϩʔνϟʔτͱͯ͠ਤ 3 ͱਤ 4 ʹࣔ͢ɽ͜ΕʹΑΓආ೉৘ใ͕ൃྩ͞Ε͍ͯΔ৔߹͸ެతͳߦಈఏҊ͕Ͱ͖ɼൃྩ͞Ε͍ͯͳ͍৔߹͸ϛΫϩͳࡂ֐৘ใΛ‫ॿޓͨ͠༻׆‬తͳߦಈఏҊΛߦ͏͜ͱ͕ՄೳʹͳΔɽͳ͓ɼ‫౓ݥة‬ͷՄࢹԽ͸ɼϛΫϩͳࡂ֐৘ใͷ౤ߘ͔Βͷ‫ܦ‬ա࣌ؒɼϢʔβͱͷ‫཭ڑ‬ɼඃ֐ͷਂࠁ౓ͷ 3 ͭͰॏΈΛ͔͚ͯࢉग़͠ɼ࣌ؒ‫ܦ‬աʹΑΔਪҠͰάϥϑʹද͢ɽҎԼͰ͸‫౓ݥة‬ͷ۩ମతͳࢉग़ํ๏ʹ͍ͭͯड़΂Δɽ

danger =

dangerʢrʣ

r

͜͜ʹ͓͚Δ dangerʢrʣ͸ϛΫϩͳࡂ֐৘ใ r Ұ݅͋ͨΓʹ
ਤ5͓͍ͯͷ‫͋Ͱ౓ݥة‬ΓɼϢʔβͷ‫ࡏݱ‬஍ʹ͓͚Δ‫౓ݥة‬͸͜ͷආ೉‫ܦ‬࿏ੜ੒

dangerʢrʣͷ૯࿨ʹΑͬͯࢉग़͞ΕΔɽdangerʢrʣʹ͍ͭͯ͸༷ʑͳ࣮‫ํݱ‬๏͕ߟ͑ΒΕΔ͕ɼCANDLE Ͱ͸ҎԼͰࣔ͢1 ∗ r.level ͱ͍ͯ͠Δɽͳ͓ɼl ͷ஋͸ 1 ࣌ؒ୯ҐͰද͠ɼ౤ߘํ๏Λ࢖༻͢Δɽ͞Ε͔ͯΒͷ‫ܦ‬ա͕࣌ؒ 1 ࣌ؒະຬͷࡂ֐৘ใͷ৔߹͸ l = 0
ͱͳΔɽ·ͨɼd ͷ஋͸ 1km ୯ҐͰࢉग़͠ɼϛΫϩͳࡂ֐৘ใ

dangerʢr, l, tʣ= r.level ∗ Cʢlʣ∗ Cʢdʣr ͔ΒϢʔβ·Ͱͷ‫ ͕཭ڑ‬1km ະຬͷ৔߹͸ d = 0 ͱͳΔɽ
3. 6 F4ɿආ೉‫ܦ‬࿏ͷ༠ಋ͜͜ͰɼCʢlʣͱ Cʢdʣ͸ͦΕͧΕ 0 ͔Β 1 Ͱද͞ΕΔؔ਺Ͱ
͋Δɽr.level ͸ϛΫϩͳࡂ֐৘ใ r Ұ͕݅࣋ͭࡂ֐ͷਂࠁ౓ແࣄʹආ೉ॴ·Ͱආ೉Ͱ͖ΔΑ͏ɼϢʔβʹͱͬͯ‫ͳݥة‬Օ

ʢ1ɼ2ɼ3ʣͰ͋Γɼl ͸ϛΫϩͳࡂ֐৘ใ r ͷ౤ߘ࣌ؒ r.timeॴΛආ͚ͨ҆શͳ‫ܦ‬࿏Λੜ੒͢Δ‫ػ‬ೳͰ͋Δɽਤ 5 ʹආ೉ॴ·͔Β‫ ࠁ࣌ࡏݱ‬t ·Ͱͷ‫ܦ‬ա࣌ؒΛࢉग़ͨ͠΋ͷͰ͋Δɽ·ͨɼͰͷආ೉‫ܦ‬࿏ͷҰྫΛࣔ͢ɽϢʔβͷ‫ࡏݱ‬஍ʹԠͨ͡ආ೉ॴͱd ͸ϛΫϩͳࡂ֐৘ใ r ͷ౤ߘҐஔ r.location ͔ΒϢʔβͷ‫ݱ‬ࡂ֐ൃੜ༧૝۠ҬΛආ೉ DB ͔Βऔಘ͠ɼϛΫϩͳࡂ֐৘ใ౳ࡏ஍ p ·Ͱͷ‫཭ڑ‬Λࢉग़ͨ͠΋ͷͰ͋ΔɽCANDLE ʹ͓͚Δͷ‫ͳݥة‬஍఺Λ‫͍ͳ·ؚ‬Α͏ͳආ೉ॴ·Ͱͷ‫ܦ‬࿏Λੜ੒͢ΔɽCʢlʣ, Cʢdʣͷ࣮‫ํݱ‬๏͸Լ‫਺ؔࣔ͢ʹه‬Λ༻͍Δɽਤதͷԫ৭͍ਓ‫ܕ‬ΞΠίϯ͕ϢʔβΛද͓ͯ͠Γɼ੺৭ͷ໼ҹ͕ϛΫϩͳࡂ֐ʹΑΓ௨ߦඇਪ঑Ͱ͋Δ௨࿏Λ͍ࣔͯ͠Δɽ·⎧⎪⎨ 1.0

ʢ0 <= l < 0.5T ht ʣCʢlʣ=2ʢT ht − lʣ/T ht ʢ0.5T ht <= l < T ht ʣ⎪⎩<0.0ʢT ht = lʣ⎧⎪⎨ 1.0Cʢdʣ=⎪⎩2ʢT hd − dʣ/T hd

ʢ0 <= d < 0.5T hd ʣ
ʢ0.5T hd <= d < T hd ʣ0.0ʢT hd <= dʣͨɼ੺৭Ͱ৭෇͚͞Εͨൣғ͕ࡂ֐ൃੜ༧૝۠ҬͰ͋Δɽ྘৭ͷ໼ҹ͸͜ΕΒͷো֐Λආ͚ͨ͏͑ͰਤதࠨԼʹදࣔ͞Ε͍ͯΔආ೉ॴ΁ͷ‫ܦ‬࿏Λࣔͨ͠΋ͷͰ͋Δɽ

4. ࣮

૷

4. 1 CANDLE ϓϩτλΠϓͷ࣮૷ࠓճ͸ҎԼʹԊͬͯ CANDLE શମͷ͏ͪʮF1ɿࡂ֐ঢ়‫گ‬ͷ্‫ه‬ͷؔ਺Ͱ͸ɼ‫ܦ‬ա࣌ؒ lɼ·ͨ͸‫ ཭ڑ‬d ͕ͦΕͧΕͷᮢࡱӨͱ౤ߘʯɼ
ʮF2ɿࡂ֐৘ใͷऔಘͱՄࢹԽʯͷ‫ػ‬ೳʹൣғΛ஋ T ht ɼT hd ͷ൒෼ະຬͷ஋Ͱ͋Ε͹ 1.0 Λฦ͠ɼᮢ஋ͷ൒෼ߜΓɼ։ൃΛߦͬͨɽҎ্ͷ஋ɼ·ͨ͸ᮢ஋ະຬͷ஋Ͱ͋Ε͹ 1.0 ͔Β 0.0 ʹ޲͚ͯ•αʔόʔ։ൃ‫ޠݴ‬: PHP7.

஋Λઢ‫ݮʹܗ‬গͤ͞Δɽᮢ஋Λ௒͑Δ৔߹͸ͲͪΒ΋ 0.0 Λฦ•ΫϥΠΞϯτ։ൃ‫ޠݴ‬: HTML5ɼCSS3ɼJavaScript͢ɽ‫ݱ‬ঢ়ɼCANDLE ʹ͓͍ͯ͸ T ht Λ 24 ∗ r.levelɼT hd Λ- 77 -—5—σʔλૠೖલʹը૾σʔλͷΈϋογϡʹ͔͚Δ͜ͱͰը૾‫ݻ‬༗ͷ໊લΛ৽ͨʹ෇͚ΔɽϦωʔϜ͞Εͨը૾͸ CANDLE ͷผσΟϨΫτϦʹอଘ͠ɼ͜ͷࡍͷϦωʔϜ͞Εͨը૾ͷύεΛσʔλϕʔεʹొ࿥͢Δɽ

4. 3 ࡂ֐৘ใͷऔಘͱՄࢹԽϛΫϩͳࡂ֐৘ใ͸ getDisasters API Λ༻͍ɼऔಘ͢Δɽ

javaScript ͷ ajax ௨৴Ͱ getDisasters API ʹରͯ͠ GET Λߦ͍ɼgetDisasters API ͸ disasters ςʔϒϧ͔ΒϛΫϩͳࡂ֐৘ใΛऔಘ͠ɼొ࿥ͨ͠ ID ॱʹ͢΂ͯฦ͢ɽऔಘͨ͠ϛΫϩͳࡂ֐৘ใΛ Maps JavaScript API Λ༻͍Δ͜ͱͰϚʔΧʔʹηοτ͠ɼGoogle Map ্ʹ഑ஔ͢Δɽ഑ஔ͞ΕͨϛΫϩͳࡂ֐৘ใͷϚʔΧʔΛλοϓ͢Δ͜ͱͰऔಘͨ͠ࡂ֐৘ใͷৄ

ਤ 6 Posted items of CANDLEࡉΛදࣔ͢Δʢਤ 7ʣɽ

5. ͓ Θ Γ ʹຊߘͰ͸ɼආ೉ҙࣝΛ޲্ͤ͞ɼద੾ͳආ೉ߦಈΛଅͨ͢Ίͷ Web ΞϓϦέʔγϣϯ CANDLE ΛఏҊͨ͠ɽCANDLE͸ࡂ֐৘ใͷࡱӨɾ౤ߘɼࡂ֐৘ใͷऔಘɾՄࢹԽɼආ೉ߦಈͷఏҊɼආ೉‫ܦ‬࿏ͷ༠ಋͷ 4 ͭͷ‫ػ‬ೳ͔Βͳ͓ͬͯΓɼ͜ΕʹΑΓॅຽ‫ݸ‬ʑਓʹपғͷࡂ֐ঢ়‫گ‬Λ೺Ѳͤ͞ɼద੾ͳආ೉ߦಈΛͱΒͤΔ͜ͱ͕‫ظ‬଴Ͱ͖Δɽ·ͨɼఏҊख๏ʹ‫͍ͯͮج‬CANDLE ͷࡂ֐৘ใͷࡱӨɾ౤ߘɼࡂ֐৘ใͷऔಘɾՄࢹԽͷ‫ػ‬ೳͷࢼ࡞Λߦ͍ɼద੾ʹࡂ֐ঢ়‫گ‬Λ೺ѲͰ͖Δ‫ݟ‬௨͠Λಘͨɽࠓ‫ޙ‬ͷ՝୊ͱͯ͠ɼ࢒Γͷ‫ػ‬ೳͷ࣮૷Λ‫׬‬੒ͤ͞ɼධՁ࣮‫ݧ‬Λߦ͏༧ఆͰ͋Δɽ·ͨɼ૝ఆ͞ΕΔ՝୊ͱͯ͠ɼϢʔβ͔Βਤ 7 Detail of micro disaster information౤ߘ͞ΕΔࡂ֐৘ใͷ৴ጪੑͷ୲อ΍ආ೉ऀʹੵ‫ۃ‬తʹࡂ֐৘•

CSS ϥΠϒϥϦ: OnsenUIใͷ౤ߘΛߦͬͯ΋Β͏ͨΊͷϞνϕʔγϣϯҡ࣋ͷํ๏Λߟ

•JavaScript ϥΠϒϥϦ: JQuery 2.1.4

͍͑ͯΔɽ

•

Web αʔόʔ: Apache Tomcat 7.0.69•

σʔλϕʔε: MySQL 5.7.18•

API : Maps JavaScript APIɼGeocoding APIँࣙ͜ͷ‫ڀݚ‬ͷҰ෦͸ɼՊֶٕज़‫ڀݚ‬අʢ‫ج‬൫‫ ڀݚ‬B

16H02908ɼ18H03242, 18H03342ɼ‫ج‬൫‫ ڀݚ‬A 17H00731ʣɼ͓ΑͼɼཱੴՊֶٕज़ৼ‫ஂࡒڵ‬ͷ‫ॿڀݚ‬੒Λड͚ͯߦΘΕ͍ͯΔɽจҎԼͰ͸࣮૷ͨ͠‫ػ‬ೳͷৄࡉʹ͍ͭͯड़΂͍ͯ͘ɽ

4. 2 ࡂ֐ঢ়‫گ‬ͷࡱӨͱ౤ߘCANDLE ͷϖʔδʹΞΫηε‫ޙ‬ɼը໘Լ෦ͷ Upload ϘλϯΛԡ͢͜ͱͰ౤ߘϑΥʔϜ͕දࣔ͞ΕΔɽදࣔ͞ΕͨϑΥʔϜ಺ͰʮϑΝΠϧΛબ୒͢ΔʯΛλοϓ͢Δͱ HTML5 ͷ ﬁleλά‫ػ‬ೳʹΑΓ‫ܞ‬ଳ୺຤ͷΧϝϥ‫ػ‬ೳ্ཱ͕͕ͪΓɼࡱӨ͕ՄೳͱͳΔɽͦͷ‫ޙ‬ɼࡱӨͨࣸ͠ਅΛ javaScript Ͱऔಘ͠ɼ֦ுࢠΛಛఆ͢ΔɽͦΕʹՃ͑ɼඃ֐ͷਂࠁ౓Λબ୒͠ɼίϝϯτΛ‫ه‬ೖͨ͠ঢ়ଶͷը໘Λਤ 6 ʹࣔ͢ɽ౤ߘϘλϯλοϓ‫ޙ‬͸

Geolocation API Λར༻͠ɼHTTPS ઀ଓΛհ͢Δ͜ͱͰϢʔβͷҐஔ৘ใΛऔಘ͠ɼGeocoding API ʹΑͬͯҐஔ৘ใΛॅॴʹม‫ͨ͠׵‬΋ͷ΋औಘ͢Δɽͦͷ΄͔ʹɼ೔࣌Λऔಘ͠ɼ্‫Ͱه‬औಘͨ͠ࡱӨը૾ɼ֦ுࢠɼ౤ߘલʹೖྗࡁΈͷࡂ֐ঢ়‫گ‬ͷਂࠁ౓ɼίϝϯτͱͱ΋ʹ FormData ͱͯ͠Ұͭͷ‫ࣜܗ‬ʹ·ͱΊɼͦͷ·ͱΊ্͛ͨσʔλΛ ajax ௨৴Λ༻͍Δ͜ͱͰ insertDisasters API ʹରͯ͠ POST ͢ΔɽinsertDisasters

API ͸ࠓճ࢖༻͢Δσʔλϕʔεͷ disasters ςʔϒϧʹΞΫ
ηε͠ɼPOST ͞ΕͨσʔλΛૠೖ͍ͯ͘͠΋ͷͰ͋Δɽͳ͓ɼ- 78 -‫ݙ‬[1] ࠃ౔ަ௨লɼ“02_hisaijirei_kouzui.pdf,” http://www.mlit.
go.jp/river/shishin_guideline/bousai/hinan_guidebook/
pdf/02_hisaijirei_kouzui.pdf.
[2] ઒‫ݟ‬จ‫ل‬ɼྛय़உɼཱ໦ໜ༤ɼ“ϦεΫճආʹӨ‫ڹ‬Λ‫͢΅ٴ‬๷ࡂϦςϥγʔͱϋβʔυϦεΫ‫ͼٴ‬ਓతɾ෺తඃ֐ೝ஌ͱͷϊϯ” ஍Ҭ҆શֶձ࿦จूɼvol.29ɼ
ϦχΞͳަ‫ؔ͢ʹ༻࡞ޓ‬Δ‫ڀݚ‬ɼ
pp.135–142ɼ2016ɽ
[3] ಺ֳ෎ɼ“ආ೉‫ࠂק‬౳ʹؔ͢ΔΨΠυϥΠϯ̍ʢආ೉ߦಈɾ৘ใ఻ୡ
ฤʣ,” http://www.bousai.go.jp/oukyu/hinankankoku/h28_hinankankoku_guideline/pdf/hinankankokugaidorain_01.
pdfɽ
[4] ಺ ֳ ෎ ɼ“Microsoft word - 20110307_ʦ ࢀ ߟ ࢿ ྉ ̓ ʧ̴̬̱ௐࠪʢhpʣ.doc,” http://www.bousai.go.jp/kaigirep/
chousakai/saigaijihinan/5/pdf/sankoushiryou_7.pdfɽ
[5] “ฏ ੒ 30 ೥ 7 ݄ ߽ Ӎ ͷ ආ ೉ ҙ ࣝ ͱ ߦ ಈ ʹ ؔ ͢ Δ ௐ
ࠪ,” https://mba.pu-hiroshima.ac.jp/pdf/h30/180801a_bousaipress.pdf?r=180801ɽ
[6] “ਆ‫ࢢށ‬ɿʮࡂ֐৘ใऩू࣮ূ࣮‫ݧ‬ʯΛͯ͠Έ·͢,” http://www.
city.kobe.lg.jp/information/press/2018/12/20181217020001.
htmlɽ
[7] “hazardcheckerappeal.pdf,” https://www.ai.u-hyogo.ac.
jp/~arima/bosai/hazardcheckerappeal.pdf.
[8] “ࡳຈࢢ๷ࡂΞϓϦʗࡳຈࢢ,” http://www.city.sapporo.jp/
kikikanri/apri.htmlɽ

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