{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T10:55:07Z","timestamp":1756896907144,"version":"3.40.5"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031220630"},{"type":"electronic","value":"9783031220647"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-22064-7_18","type":"book-chapter","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T19:02:04Z","timestamp":1669230124000},"page":"231-243","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9994-6888","authenticated-orcid":false,"given":"Nanxi","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6461-7243","authenticated-orcid":false,"given":"Waishan","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2590-5837","authenticated-orcid":false,"given":"Wenjing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1760-0451","authenticated-orcid":false,"given":"Dan","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,24]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/BF02242925","volume":"13","author":"P Brantingham","year":"1995","unstructured":"Brantingham, P., Brantingham, P.: Criminality of place: crime generators and CrimeAttractors. Eur. J. Crim. Policy Res. 13, 5\u201326 (1995)","journal-title":"Eur. J. Crim. Policy Res."},{"key":"18_CR2","unstructured":"Harvey, C.W.: Measuring streetscape design for livability using spatial data and methods (2014). https:\/\/scholarworks.uvm.edu\/graddis\/268\/"},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.apgeog.2016.09.024","volume":"76","author":"L Yin","year":"2016","unstructured":"Yin, L., Wang, Z.: Measuring visual enclosure for street walkability: using machine learning algorithms and Google Street View imagery. Appl. Geogr. 76, 147\u2013153 (2016). https:\/\/doi.org\/10.1016\/j.apgeog.2016.09.024","journal-title":"Appl. Geogr."},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"103086","DOI":"10.1016\/j.cities.2020.103086","volume":"110","author":"X Ma","year":"2021","unstructured":"Ma, X., et al.: Measuring human perceptions of streetscapes to better inform urban renewal: a perspective of scene semantic parsing. Cities 110, 103086 (2021). https:\/\/doi.org\/10.1016\/j.cities.2020.103086","journal-title":"Cities"},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1080\/13574800802451155","volume":"14","author":"R Ewing","year":"2009","unstructured":"Ewing, R., Handy, S.: Measuring the unmeasurable: urban design qualities related to walkability. J. Urban Des. 14, 65\u201384 (2009). https:\/\/doi.org\/10.1080\/13574800802451155","journal-title":"J. Urban Des."},{"key":"18_CR6","doi-asserted-by":"publisher","unstructured":"Naik, N., Kominers, S., Raskar, R., Glaeser, E., Hidalgo, C.: Do people shape cities, or do cities shape people? The Co-evolution of physical, social, and economic change in five major U.S. Cities. SSRN Electron. J. (2015). https:\/\/doi.org\/10.2139\/ssrn.2698292","DOI":"10.2139\/ssrn.2698292"},{"key":"18_CR7","unstructured":"Kelling, G.L., Wilson, J.Q.: Broken Windows - The police and neighborhood safety. https:\/\/www.theatlantic.com\/magazine\/archive\/1982\/03\/broken-windows\/304465\/"},{"key":"18_CR8","unstructured":"Chen, C.: Exploring Housing Market in Toronto, Ontario: Spatial Hedonic Modeling of Crime Rates, Subway Ridership, Dwelling Density and House Prices (2015). http:\/\/hdl.handle.net\/10012\/9656"},{"key":"18_CR9","unstructured":"Jacobs, J.: The death and life of great American cities (1961)"},{"key":"18_CR10","unstructured":"Newman, O.: Defensible Space: Crime Prevention Through Urban Design. Macmillan (1972)"},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.cities.2018.02.021","volume":"79","author":"Y Xu","year":"2018","unstructured":"Xu, Y., Fu, C., Kennedy, E., Jiang, S., Owusu-Agyemang, S.: The impact of street lights on spatial-temporal patterns of crime in Detroit, Michigan. Cities 79, 45\u201352 (2018). https:\/\/doi.org\/10.1016\/j.cities.2018.02.021","journal-title":"Cities"},{"key":"18_CR12","doi-asserted-by":"publisher","unstructured":"Yang, J.W., Kim, D., Jung, S.: Using eye-tracking technology to measure environmental factors affecting street robbery decision-making in virtual environments. Sustainability 12 (2020). https:\/\/doi.org\/10.3390\/su12187419","DOI":"10.3390\/su12187419"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"101631","DOI":"10.1016\/j.compenvurbsys.2021.101631","volume":"88","author":"H Zhou","year":"2021","unstructured":"Zhou, H., et al.: Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery. Comput. Environ. Urban Syst. 88, 101631 (2021). https:\/\/doi.org\/10.1016\/j.compenvurbsys.2021.101631","journal-title":"Comput. Environ. Urban Syst."},{"key":"18_CR14","doi-asserted-by":"publisher","first-page":"e68400","DOI":"10.1371\/journal.pone.0068400","volume":"8","author":"P Salesses","year":"2013","unstructured":"Salesses, P., Schechtner, K., Hidalgo, C.A.: The collaborative image of the city: mapping the inequality of urban perception. PLoS ONE 8, e68400 (2013). https:\/\/doi.org\/10.1371\/journal.pone.0068400","journal-title":"PLoS ONE"},{"key":"18_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1007\/978-3-319-46448-0_12","volume-title":"Computer Vision \u2013 ECCV 2016","author":"A Dubey","year":"2016","unstructured":"Dubey, A., Naik, N., Parikh, D., Raskar, R., Hidalgo, C.A.: Deep learning the city: quantifying urban perception at a global scale. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 196\u2013212. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_12"},{"key":"18_CR16","doi-asserted-by":"publisher","unstructured":"Raskar, R., Naik, N., Philipoom, J., Hidalgo, C.: Streetscore \u2013 predicting the perceived safety of one million streetscapes. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society (2015). https:\/\/doi.org\/10.1109\/CVPRW.2014.121","DOI":"10.1109\/CVPRW.2014.121"},{"key":"18_CR17","doi-asserted-by":"publisher","first-page":"104919","DOI":"10.1016\/j.landusepol.2020.104919","volume":"111","author":"Y Kang","year":"2021","unstructured":"Kang, Y., et al.: Understanding house price appreciation using multi-source big geo-data and machine learning. Land Use Policy 111, 104919 (2021). https:\/\/doi.org\/10.1016\/j.landusepol.2020.104919","journal-title":"Land Use Policy"},{"key":"18_CR18","doi-asserted-by":"publisher","first-page":"3007","DOI":"10.1177\/0042098015605222","volume":"53","author":"W Zhang","year":"2016","unstructured":"Zhang, W.: Does compact land use trigger a rise in crime and a fall in ridership? A role for crime in the land use\u2013travel connection. Urban Stud. 53, 3007\u20133026 (2016). https:\/\/doi.org\/10.1177\/0042098015605222","journal-title":"Urban Stud."},{"key":"18_CR19","unstructured":"NYC Open Data. https:\/\/opendata.cityofnewyork.us\/"},{"key":"18_CR20","doi-asserted-by":"publisher","first-page":"104358","DOI":"10.1016\/j.landurbplan.2022.104358","volume":"221","author":"W Qiu","year":"2022","unstructured":"Qiu, W., et al.: Subjective or objective measures of street environment, which are more effective in explaining housing prices? Landsc. Urban Plan. 221, 104358 (2022). https:\/\/doi.org\/10.1016\/j.landurbplan.2022.104358","journal-title":"Landsc. Urban Plan."},{"key":"18_CR21","unstructured":"NYC Department of City Planning. https:\/\/www1.nyc.gov\/site\/planning\/index.page"},{"key":"18_CR22","unstructured":"GEOFABRIK Downloads. https:\/\/download.geofabrik.de\/"},{"key":"18_CR23","unstructured":"New York State Liquor Authority Mapping Project. https:\/\/lamp.sla.ny.gov\/"},{"key":"18_CR24","unstructured":"NYC Planning Population Fact Finder. https:\/\/popfactfinder.planning.nyc.gov\/"},{"key":"18_CR25","unstructured":"New York City Police Department. https:\/\/compstat.nypdonline.org\/"},{"key":"18_CR26","doi-asserted-by":"publisher","first-page":"104003","DOI":"10.1016\/j.landurbplan.2020.104003","volume":"207","author":"F Zhang","year":"2021","unstructured":"Zhang, F., Fan, Z., Kang, Y., Hu, Y., Ratti, C.: \u201cPerception bias\u201d: deciphering a mismatch between urban crime and perception of safety. Landsc. Urban Plan. 207, 104003 (2021). https:\/\/doi.org\/10.1016\/j.landurbplan.2020.104003","journal-title":"Landsc. Urban Plan."},{"key":"18_CR27","doi-asserted-by":"publisher","unstructured":"Jing, F., et al.: Assessing the impact of street-view greenery on fear of neighborhood crime in Guangzhou, China. Int. J. Environ. Res. Public. Health 18 (2021). https:\/\/doi.org\/10.3390\/ijerph18010311","DOI":"10.3390\/ijerph18010311"},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"672","DOI":"10.2307\/2084686","volume":"3","author":"RK Merton","year":"1938","unstructured":"Merton, R.K.: Social structure and anomie. Am. Sociol. Rev. 3, 672\u2013682 (1938). https:\/\/doi.org\/10.2307\/2084686","journal-title":"Am. Sociol. Rev."}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-22064-7_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T19:04:55Z","timestamp":1669230295000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-22064-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031220630","9783031220647"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-22064-7_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brisbane, QLD","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2022.uqcloud.net\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT3","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"198","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}