Publication Information

{'id': 'https://openalex.org/W2131043413', 'doi': 'https://doi.org/10.1061/41127(382)291', 'title': 'Analyzing Residential Travel Mode Choice Based on Principal Component Analysis', 'display_name': 'Analyzing Residential Travel Mode Choice Based on Principal Component Analysis', 'publication_year': 2010, 'publication_date': '2010-07-22', 'ids': {'openalex': 'https://openalex.org/W2131043413', 'doi': 'https://doi.org/10.1061/41127(382)291', 'mag': '2131043413'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1061/41127(382)291', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5100716615', 'display_name': 'Zhijian Chen', 'orcid': 'https://orcid.org/0000-0002-1182-7340'}, 'institutions': [{'id': 'https://openalex.org/I76569877', 'display_name': 'Southeast University', 'ror': 'https://ror.org/04ct4d772', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76569877']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Zhi-jian Chen', 'raw_affiliation_strings': ['School of Transportation, Southeast University, Nanjing 210096, China.E-mail:'], 'affiliations': [{'raw_affiliation_string': 'School of Transportation, Southeast University, Nanjing 210096, China.E-mail:', 'institution_ids': ['https://openalex.org/I76569877']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5101553570', 'display_name': 'Lin Cheng', 'orcid': 'https://orcid.org/0000-0001-8863-3803'}, 'institutions': [{'id': 'https://openalex.org/I76569877', 'display_name': 'Southeast University', 'ror': 'https://ror.org/04ct4d772', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76569877']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Lin Cheng', 'raw_affiliation_strings': ['School of Transportation, Southeast University, Nanjing 210096, China.E-mail:'], 'affiliations': [{'raw_affiliation_string': 'School of Transportation, Southeast University, Nanjing 210096, China.E-mail:', 'institution_ids': ['https://openalex.org/I76569877']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5079532696', 'display_name': 'Hu-nan Deng', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I76569877', 'display_name': 'Southeast University', 'ror': 'https://ror.org/04ct4d772', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I76569877']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Hu-nan Deng', 'raw_affiliation_strings': ['School of Transportation, Southeast University, Nanjing 210096, China.E-mail:'], 'affiliations': [{'raw_affiliation_string': 'School of Transportation, Southeast University, Nanjing 210096, China.E-mail:', 'institution_ids': ['https://openalex.org/I76569877']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5026485239', 'display_name': 'Jingke Zhang', 'orcid': 'https://orcid.org/0000-0002-7421-3979'}, 'institutions': [{'id': 'https://openalex.org/I96733725', 'display_name': 'Shanghai Maritime University', 'ror': 'https://ror.org/04z7qrj66', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I96733725']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Jing-ke Zhang', 'raw_affiliation_strings': ['School of Economics & Management, Shanghai Maritime University, Shanghai 200135, China.E-mail:'], 'affiliations': [{'raw_affiliation_string': 'School of Economics & Management, Shanghai Maritime University, Shanghai 200135, China.E-mail:', 'institution_ids': ['https://openalex.org/I96733725']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.402423, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 64, 'max': 71}, 'biblio': {'volume': None, 'issue': None, 'first_page': '2739', 'last_page': '2746'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10698', 'display_name': 'Transportation Planning and Optimization', 'score': 0.9794, 'subfield': {'id': 'https://openalex.org/subfields/3313', 'display_name': 'Transportation'}, 'field': {'id': 'https://openalex.org/fields/33', 'display_name': 'Social Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10698', 'display_name': 'Transportation Planning and Optimization', 'score': 0.9794, 'subfield': {'id': 'https://openalex.org/subfields/3313', 'display_name': 'Transportation'}, 'field': {'id': 'https://openalex.org/fields/33', 'display_name': 'Social Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T13955', 'display_name': 'Evaluation Methods in Various Fields', 'score': 0.9582, 'subfield': {'id': 'https://openalex.org/subfields/2302', 'display_name': 'Ecological Modeling'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10298', 'display_name': 'Urban Transport and Accessibility', 'score': 0.9294, 'subfield': {'id': 'https://openalex.org/subfields/3313', 'display_name': 'Transportation'}, 'field': {'id': 'https://openalex.org/fields/33', 'display_name': 'Social Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/interpretability', 'display_name': 'Interpretability', 'score': 0.71741205}, {'id': 'https://openalex.org/keywords/component', 'display_name': 'Component (thermodynamics)', 'score': 0.4931504}, {'id': 'https://openalex.org/keywords/mode', 'display_name': 'Mode (computer interface)', 'score': 0.4837525}, {'id': 'https://openalex.org/keywords/explanatory-model', 'display_name': 'Explanatory model', 'score': 0.4728582}, {'id': 'https://openalex.org/keywords/principal-component-regression', 'display_name': 'Principal component regression', 'score': 0.45728487}, {'id': 'https://openalex.org/keywords/mode-choice', 'display_name': 'Mode choice', 'score': 0.42370138}, {'id': 'https://openalex.org/keywords/canonical-correlation', 'display_name': 'Canonical correlation', 'score': 0.41132054}], 'concepts': [{'id': 'https://openalex.org/C189285262', 'wikidata': 'https://www.wikidata.org/wiki/Q1332350', 'display_name': 'Multicollinearity', 'level': 3, 'score': 0.9639853}, {'id': 'https://openalex.org/C27438332', 'wikidata': 'https://www.wikidata.org/wiki/Q2873', 'display_name': 'Principal component analysis', 'level': 2, 'score': 0.80967295}, {'id': 'https://openalex.org/C117568660', 'wikidata': 'https://www.wikidata.org/wiki/Q1650843', 'display_name': 'Multinomial logistic regression', 'level': 2, 'score': 0.77311766}, {'id': 'https://openalex.org/C2781067378', 'wikidata': 'https://www.wikidata.org/wiki/Q17027399', 'display_name': 'Interpretability', 'level': 2, 'score': 0.71741205}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.656224}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5284578}, {'id': 'https://openalex.org/C168167062', 'wikidata': 'https://www.wikidata.org/wiki/Q1117970', 'display_name': 'Component (thermodynamics)', 'level': 2, 'score': 0.4931504}, {'id': 'https://openalex.org/C48677424', 'wikidata': 'https://www.wikidata.org/wiki/Q6888088', 'display_name': 'Mode (computer interface)', 'level': 2, 'score': 0.4837525}, {'id': 'https://openalex.org/C2778638050', 'wikidata': 'https://www.wikidata.org/wiki/Q5421252', 'display_name': 'Explanatory model', 'level': 2, 'score': 0.4728582}, {'id': 'https://openalex.org/C74887250', 'wikidata': 'https://www.wikidata.org/wiki/Q3455892', 'display_name': 'Principal component regression', 'level': 3, 'score': 0.45728487}, {'id': 'https://openalex.org/C151956035', 'wikidata': 'https://www.wikidata.org/wiki/Q1132755', 'display_name': 'Logistic regression', 'level': 2, 'score': 0.44428974}, {'id': 'https://openalex.org/C2776017872', 'wikidata': 'https://www.wikidata.org/wiki/Q3226683', 'display_name': 'Mode choice', 'level': 3, 'score': 0.42370138}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.4113981}, {'id': 'https://openalex.org/C153874254', 'wikidata': 'https://www.wikidata.org/wiki/Q115542', 'display_name': 'Canonical correlation', 'level': 2, 'score': 0.41132054}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.4100582}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.2530526}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.2105974}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.20025325}, {'id': 'https://openalex.org/C539828613', 'wikidata': 'https://www.wikidata.org/wiki/Q178512', 'display_name': 'Public transport', 'level': 2, 'score': 0.17992139}, {'id': 'https://openalex.org/C127413603', 'wikidata': 'https://www.wikidata.org/wiki/Q11023', 'display_name': 'Engineering', 'level': 0, 'score': 0.12664196}, {'id': 'https://openalex.org/C22212356', 'wikidata': 'https://www.wikidata.org/wiki/Q775325', 'display_name': 'Transport engineering', 'level': 1, 'score': 0.11675221}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C97355855', 'wikidata': 'https://www.wikidata.org/wiki/Q11473', 'display_name': 'Thermodynamics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C111919701', 'wikidata': 'https://www.wikidata.org/wiki/Q9135', 'display_name': 'Operating system', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1061/41127(382)291', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'display_name': 'No poverty', 'id': 'https://metadata.un.org/sdg/1', 'score': 0.63}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 4, 'referenced_works': ['https://openalex.org/W2027870918', 'https://openalex.org/W2086686542', 'https://openalex.org/W2362263646', 'https://openalex.org/W825010988'], 'related_works': ['https://openalex.org/W4225151263', 'https://openalex.org/W3114452526', 'https://openalex.org/W2925501820', 'https://openalex.org/W2601174230', 'https://openalex.org/W2185804877', 'https://openalex.org/W2184235476', 'https://openalex.org/W2139107240', 'https://openalex.org/W2039491306', 'https://openalex.org/W1992233912', 'https://openalex.org/W1584831794'], 'abstract_inverted_index': {'A': [0], 'disaggregate': [1], 'model': [2, 113, 129], 'has': [3], 'a': [4], 'wide': [5], 'application': [6], 'in': [7, 99, 102], 'analyzing': [8], 'residential': [9], 'travel': [10, 91], 'mode': [11], 'choice': [12], 'due': [13], 'to': [14, 51, 62, 72, 80, 106, 116, 118], 'its': [15], 'high': [16, 68], 'accuracy': [17, 46, 149], 'of': [18, 35, 47, 89, 93, 110, 140, 150], 'modeling': [19, 41, 151], 'and': [20, 33, 114, 146, 152], 'good': [21], 'interpretability.': [22], 'However,': [23], 'the': [24, 55, 82, 108, 111, 126, 138, 141, 148], 'multicollinearity': [25, 142], 'among': [26, 143], 'explanatory': [27, 56, 144], 'variables,': [28], 'such': [29], 'as': [30, 43, 45], 'family': [31], 'income': [32], 'desire': [34], 'buying': [36], 'private': [37], 'cars,': [38], 'seriously': [39], 'influences': [40], 'results': [42, 123], 'well': [44], 'forecasting.': [48], 'In': [49], 'order': [50], 'overcome': [52], 'this': [53], 'deficiency,': [54], 'variables': [57, 145], 'are': [58, 70, 104], 'first': [59], 'classified': [60], 'according': [61], 'their': [63], 'correlation.': [64], 'Then': [65], 'those': [66], 'with': [67], 'dependence': [69], 'chosen': [71], 'perform': [73], 'principal': [74, 132], 'component': [75, 133], 'analysis,': [76], 'which': [77], 'is': [78], 'used': [79, 105], 'develop': [81], 'multinomial': [83], 'Logit': [84], '(MNL)': [85], 'model.': [86], 'Survey': [87], 'data': [88], 'daily': [90], 'behaviors': [92], 'residents': [94], 'living': [95], 'along': [96], 'rail': [97], 'transit': [98], 'Nanjing': [100], 'City': [101], '2009': [103], 'validate': [107], 'effectiveness': [109], 'proposed': [112, 127], 'also': [115], 'compare': [117], 'existing': [119], 'MNL': [120, 128], 'models.': [121], 'The': [122], 'show': [124], 'that': [125], 'based': [130], 'on': [131], 'analysis': [134], 'can': [135], 'efficiently': [136], 'reduce': [137], 'influence': [139], 'improve': [147], 'Macfadden': [153], 'coefficients.': [154]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2131043413', 'counts_by_year': [{'year': 2022, 'cited_by_count': 1}], 'updated_date': '2024-12-12T13:46:22.454031', 'created_date': '2016-06-24'}