000			02125nam a22002777a 4500
003			ZW-GwMSU
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008			240909b |||||||| |||| 00| 0 eng d
022			_a07339488
040			_aMSU _bEnglish _cMSU _erda
050	0	0	_aHT169 JOU
100	1		_aZou, Wei _eauthor
245	1	0	_aEmpirical analysis of delivery vehicle on-street parking pattern in Manhattan area/ _ccreated by
264	1		_aReston : _bASCE, _c2016.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_aJournal of urban planning and development _vVolume 142, number 2
520	3		_aParking in big cities is never easy. Policy-makers and transportation planners have developed many strategies to accommodate increasing parking demand. However, most of them focus on passenger vehicles, and analysis of delivery vehicle parking is still limited. This study uses recent disaggregate data of freight delivery patterns collected in the Manhattan area, which is rarely available in freight studies, to explore the factors influencing delivery vehicle on-street parking characteristics and drivers’ behavior. A duration model is used to analyze delivery vehicle on-street parking duration, and a count data model is used to analyze the parking frequency of delivery tours. With the outputs of these models, the effectiveness of different traffic-management and parking-management strategies are assessed. The results show that policies encouraging smaller delivery vehicle, higher loading efficiency, and shorter parking duration will reduce congestion and economic losses. The results also demonstrate the value of disaggregate data in freight studies, implying the need for larger-scale and more-detailed data collection for future studies.
650			_aFreight transportation _vParking duration _xParking management _zManhattan (New York)
700	1		_aWang, Xiaokun (Cara) _eco author
700	1		_aConway, Alison _eco author
700	1		_aChen, Quanquan _eco author
856			_uhttps://doi.org/10.1061/(ASCE)UP.1943-5444.0000300
942			_2lcc _cJA
999			_c167059 _d167059