Ever since the Closed-Circuit Television (CCTV) has been widely installed in mainland China, the police CCTV plays an indispensable role in the police strategy. According to the theory of situational crime prevention and the theory of crime prevention through environmental design, the police CCTV cameras should deter the potential offenders by increasing the risk of being exposed or arrested, and thus reduce crime. The crime reduction schemes can lead to crime displacement or diffusion of benefits. The installation of CCTV will not only affect crime in the surveillance areas of CCTV, but also the surrounding environments. Scholars have found that whether CCTV causes crime displacement or diffusion of benefits varies among different crime types. Existing research has applied the weighted displacement quotient (WDQ) to study the effect of crime displacement and diffusion of benefits in many countries. However, WDQ will not work properly when the denominator is equal to zero. Additionally, little research investigates the effect of crime displacement and the diffusion of benefits related to police CCTV in China. This paper attempts to fill the aforementioned research gaps and propose an appropriate approach to assess the impact of CCTV on the surrounding environment in a Chinese city. Based on difference-in-differences (DID) and WDQ, this study introduces a new quadrant estimation method, which displays the result plots after calculating DID between the target area and the control area and DID between the buffer area and the control area. This method not only avoids the problem in WDQ calculation but also exhibits the phenomenon of crime displacement and diffusion of benefits more intuitively. Taking the Gusu district in Suzhou city as the study area, this paper applies this new method to investigate crime displacement and diffusion of benefits related to CCTV from three aspects: all crime, different types of crime, and crimes in the different temporal periods. This study investigates the impact of the police CCTV cameras on crime events from 2014 to 2016 in Gusu. The results show that when any crime reduction at a site could be observed after the open-street CCTV implementation, diffusion of benefits rather than crime displacement was the norm. In terms of variations among crime types, the crime displacement phenomenon of theft is more obvious than all other three types of crime: fraud, fighting, and violation of public order; and electric vehicle battery theft's displacement is more obvious than that of electric vehicle theft. In terms of the temporal variations, the phenomenon of crime displacement is more obvious in holidays and daytime, while diffusion of benefits is more obvious in weekdays and evenings.

基于加权转移系数法和双重差分法提出象限统计法,分析了警用治安视频监控对苏州市姑苏区2014—2016年警情数据的犯罪转移和效益扩散现象。研究结果表明,警用治安视频监控设备的安装对于总体犯罪、不同类型案件、不同时段案件均有效益扩散现象,且效益扩散现象比犯罪转移现象更加明显。在案件类型上,盗窃类案件及违反公共秩序类案件的犯罪转移现象较为明显,斗殴类案件次之,而诈骗类案件最不明显。盗窃电动车电瓶类案件的犯罪转移情况相对于盗窃电动车案件更为明显。在时间维度上,节假日和白天的犯罪转移现象更为明显,而工作日和夜晚的效益扩散现象更为明显。

The spaces in which drug use occurs constitutes a key aspect of the "risk environment" of people who inject drugs (PWID). We aimed to add nuance to the characterization of "safe" and "unsafe" spaces in PWID's environments to further understand how these spaces amplify the risk of morbidities associated with injection drug use. PWID were recruited through the Baltimore City syringe service program and through peer referral. Participants completed a socio-behavioral survey. Multivariable logistic regression was used to identify associations between utilization of public, semi-public and private spaces with arrest, non-fatal overdose, and receptive syringe sharing. The sample of PWID (N = 283) was mostly 45 years and older (54%), male (69%), Black (55%), and heroin users (96%). Compared to PWID who primarily used private settings, the adjusted odds of recent overdose were greater among PWID who mostly used semi-public and public locations to inject drugs. We also found independent associations between arrest and semi-public spaces, and between receptive syringe sharing and public spaces (all p < 0.05). This study highlights the need for safe spaces where PWID can reduce their risk of overdose, likelihood of arrest and blood-borne diseases, and the dual potential of the environment in promoting health and risk.Copyright © 2018 Elsevier B.V. All rights reserved.

To understand the environmental and contextual influences of illicit cocaine and heroin use and craving using mobile health (mHealth) methods.Interactive mHealth methods of ecological momentary assessment (EMA) were utilized in the Exposure Assessment in Current Time (EXACT) study to assess drug use and craving among urban drug users in real time. Participants were provided with mobile devices and asked to self-report every time they either craved (without using) or used heroin or cocaine for 30 days from November 2008 through May 2013.Baltimore, MD, USA.A total of 109 participants from the AIDS Linked to the IntraVenous Experience (ALIVE) study.For each drug use or craving event, participants answered questions concerning their drug use, current mood and their social, physical and activity environments. Odds ratios (OR) of drug use versus craving were obtained from logistic regression models with generalized estimating equations of all reported events.Participants were a median of 48.5 years old, 90% African American, 52% male and 59% HIV-infected. Participants were significantly more likely to report use rather than craving drugs if they were with someone who was using drugs [adjusted odds ratio (aOR) = 1.45, 95% confidence interval (CI) = 1.13, 1.86), in an abandoned space (aOR = 6.65, 95% CI = 1.78, 24.84) or walking/wandering (aOR = 1.68, 95% CI = 1.11, 2.54). Craving drugs was associated with being with a child (aOR = 0.26, 95% CI = 0.12, 0.59), eating (aOR = 0.54, 95% CI = 0.34, 0.85) or being at the doctor's office (aOR = 0.31, 95% CI = 0.12, 0.80).There are distinct drug using and craving environments among urban drug users, which may provide a framework for developing real-time context-sensitive interventions.© 2014 Society for the Study of Addiction.

Since the emergence of dockless bike sharing in China, it has provided convenience and non-motorized travel mode for residents' short distance trips. Bike sharing plays an important role in improving the accessibility of public transportation and reducing the motorized pollution. At the same time, it also brings out urban issues, such as excessive amount of bike sharing, and mismatch between supply and demand of bike sharing. The main reason for these problems is the lack of accurate prediction and effective scheduling for bike sharing ride. Exploring the spatial and temporal characteristics of bike sharing ride and detecting the influencing factors can provide scientific decision-making basis for precise prediction and effective scheduling of bike sharing. Even though some studies have paid attention to the influencing factors of bike-sharing ride behaviors, most of them focused on the starting point but neglected the destination. Moreover, the temporal difference of influencing factors and the interaction between the factors were seldom revealed in the previous studies. Taking mobike in Guangzhou city as an example, this study aims to analyze the spatial and temporal characteristics of the ride destination of bike sharing. We detect the temporal differences of the influencing factors of bike sharing ride destination, and further explores the interaction between the determinants by using geographical detector. The results show that: (1) The usage of bike sharing in morning-peak time is greater than that in evening-peak time, and the spatial distribution of bike sharing ride destination has obvious temporal differences. The ride destinations of bike sharing at morning peak period are mainly distributed at CBD, zone of information industry and job-housing balance areas. While the ride destinations at evening peak period are mainly distributed along Metro Line 3 from Tiyuxi station to Huashi station as well as high-density residential areas. (2) The element of service facilities has the greatest impacts on the ride destinations of bike sharing, followed by the accessibility, land use and natural environment elements. To be more specifically, the influencing degree of the factors ranks as follows: residential communities distribution, catering facilities distribution, corporate distribution, shopping facilities distribution, road density, distance to metro station entrances and POI diversity. (3) The influence of each factor has remarkable temporal differences, for example, the influence of corporate distribution factor grows rapidly during the morning peak period. (4) The interaction effect of any two factors on the ride destinations of bike sharing is greater than the effect of one single factor. Among them, the interaction effect of factors which belong to service facilities elements are the greatest, followed by the interaction effects between factors of service facilities and accessibility.

已有共享单车骑行影响因素研究主要关注起点,大多忽略目的地,在探讨其影响因素的时间差异及交互作用方面较少。以广州市主城区为例,引入地理探测器,精细分析目的地分布影响因素的时间差异,并进行交互探测。研究发现：① 早高峰到达量大于晚高峰,早高峰目的地多分布在CBD,信息产业园和职住平衡地区,晚高峰多分布在地铁3号线体育西至华师站沿线和高密度住宅区。② 服务设施类是影响最显著的类别,其次是交通可达、土地利用和自然环境类别,其中影响力较大的因子依次是住宅、餐饮、公司、购物设施分布、路网密度、距地铁站口距离和POI多样性。③ 各因子影响力存在明显时间差异,所有建成环境因子在早晚高峰时段影响力均大于其他时段,其中公司企业分布因子的影响力在早高峰时段迅速增强。④ 因子间均为双因子增强关系,其中服务设施分布类别中因子交互作用最显著,服务设施分布与交通可达类别的因子交互作用次之。

Research on urban vitality has drawn more attention from different disciplines and perspectives such as urban geography, urban planning and urban government. Urban vitality is not only an important symbol of urban sustainable development, but also an important factor for cities to retain high-skilled talents, which could improve the competitiveness of the city. Studying urban vitality is conducive for us to re-understanding the city in a new perspective and improving urban human-oriented planning and management for the government, especially for some megacities and international cities which contain a large population. Urban vitality, consisting of economic vitality, social vitality and cultural vitality, reflects the level of urban development capacity and quality of life, which is also closely related to the citizens. In order to discover the urban vitality in Shanghai, this paper uses multi-source data, including dianping’s data which counts the number of businesses in the studying area to reflect the economic vitality, urban taxi arrival data in one week to reflect the social vitality and cultural facilities data in the studying area to reflect cultural vitality, to measure urban vitality from two scale: both block and sub-district level. Based on this comprehensive measurement, this article intends to analyze the spatial outcome characteristics of urban vitality in different blocks and sub-districts. This article also establishes a regression models for analyzing the impact mechanism of urban built environment which consists of multiple elements on urban vitality. It is found that the urban vitality of Shanghai is higher in the central area, decreasing from the central area to the surrounding area in the city. In the meanwhile, the value of urban vitality in Puxi area is higher than Pudong area, which means the daily activities and communication in Puxi area are more dynamic than these in Pudong area. Apart from differences between Puxi and Pudong areas, there are also distinctions regarding to the factors of built environments effecting the urban vitality between block level and street level. On the block level, it is found that the built environments effect significantly to different types of urban vitality and the comprehensive vitality. What’s more, for each vitality, the effect shows in different ways. Specifically, the increase of population density will influence the urban vitality by firstly in an active way then in a passive one. Especially for social and cultural vitality, the high density of population is not beneficial. For the facilities, increase of POI density and road network density presenting completeness and POI mixing degree presenting the variety of land use will promote all kinds of the vitality and comprehensive vitality. In the respect of the design, the increase of average building layers and building density will reduce the social vitality and cultural vitality, but will enhance the economic vitality and comprehensive vitality of the block at the same time. And in terms of the access to public transportation, the distance to the nearest bus station will increase the economic vitality of the block. According to the discoveries about the spatial pattern and the effecting factors of urban vitality, this article proves improving the built environment is meaningful to the development of urban.

运用大众点评数据、出租车到达数据与文化设施POI数据测度城市活力的经济、社会和文化维度,在街区和街道层面分析城市活力的空间结构特征,建立计量模型分析城市建成环境对城市活力的影响关系。结果表明：①上海中心城区城市活力表现出明显的空间差异,主要表现为由中心向四周递减、浦西优于浦东的总体特征;②街区和街道尺度影响城市活力的建成环境因素存在差异;③街区尺度建成环境对城市社会、经济和文化活力的影响存在差异：提升人口密度对经济活力具有正面影响,过高的人口密度可能不利于社会和文化活力发展;增加POI密度、路网密度和POI混合度有利于城市活力的提升;建筑层数和建筑密度的增加会降低街区的社会活力和文化活力,但会提升街区的经济活力;交通可达性有利于经济活力的提升。

街面接触型犯罪是指犯罪者在街面通过采取与受害者身体接触的方式而实施的违反法律的行为,已有文献研究利用了不同类型的大数据代表的周遭人口表征街面接触型犯罪中“潜在受害者”因素,但由于数据的局限性,无法应用在微观的空间尺度上的街面接触型犯罪研究。微信热力图是具有高时空分辨率和高人口覆盖度,能动态地反映人流量热度的程序。因此,本文以经济发达的ZG市的XT街道为例,结合日常活动理论,并基于微信热力图数据代表的周遭人口表征的“潜在受害者”因素,首先定性地描述和识别街面接触型犯罪的时空分布特征,然后划分不同时段分析街道街面接触型犯罪的影响因素。研究发现：① 街面接触型犯罪案件存在时空的集聚性,街道街面接触型犯罪在晚上（18:00—23:59）是高发期,在白天（07:00—17:59）是低发期,在22:00—22:59数量达到最大值,主要聚集在城中村区域,且不同时期的影响因素存在一定的差异;② 微信人口数量在所有时期均对街面接触型犯罪存在显著的正向影响,其代表的周遭人口能很好地表征日常活动理论中的“潜在受害者”因素,且在凌晨—清晨（00:00—06:59）对街面接触型犯罪的影响最大;③ 不同场所对街面接触型犯罪的影响存在时间上的差异,餐饮点在晚上对街面接触型犯罪存在显著的正向影响,KTV、健身房和公交站点分别对应在凌晨—清晨、白天与晚上对街面接触型犯罪有显著的正向影响,而休闲会所在凌晨、清晨、晚上均有显著的影响,与最近巡逻驻点的距离仅在晚上时期显著影响街面接触型犯罪。本文的研究结论可为警方采用微信热力图来分析街面接触型犯罪和经济发达地区警方部署提供参考依据。

As a ticklish social problem, crime committed in hotels has been concerned by both Chinese and Western scholars. Theft is one of the most frequent crime types occurred in hotels, especially in star hotels. Previous studies on influencing factors of hotel theft cases mainly focused on star hotel and personal attributes of victims at the micro level from the perspective of sociology, rather than considering the built environmental factors at the macro level from the perspective of geography. Using the data on the star hotels with theft cases in 2012-2014 in ZG central city obtained from Municipal Public Security Bureau, this study examined the spatial-temporal characteristics of these hotels. Then the environmental indicators within 500 m around the hotels were examined and the negative binomial regression method was used to make a systematic analysis on the factors affecting the theft of different types of star hotels in various time periods. The main results are as follows: 1) The spatial-temporal distribution of star hotels showed obvious agglomeration features. Generally, most of the main hotspots in the high incidence areas of hotel theft were time invariant, all of them are highlighted near the old city central business district, the eastern extension of the main road and the railway station. However, the spatial distribution of secondary hotspots was time-varying. 2) The overall model analysis indicates that the improvement of the service level was the most effective way to reduce the theft cases of all star hotels. The surrounding property and community points of interest (POIs) will significantly increase the opportunity for all star hotels to be stolen, while road intersections play a significant regulatory role in the theft of all star hotels. 3) The results of the sub models demonstrate that the effect of service level on the theft of three-star and five-star hotels is significant, and the effect of road intersection on the theft of four-star hotels often used by guests of business travel is stronger; the number of POIs has more obvious effect on three-star and four-star hotels. Large-scale retail business center can significantly increase the number of theft cases in hotels in the peak season and the weekend, and the number of road intersections is significant for the monitoring of stolen risk of the star hotels in the off-season period and the working days. These results have shown that the built environment played a significant role in affecting the opportunity and cost of hotel theft. The results verify the applicability of the daily activity theory in the study of hotel crimes in large cities in China, and expand the research results of crime geography in the direction of star hotel theft, which has a guiding effect for the prevention of hotel theft.

盗窃是中西方酒店内财产犯罪中最为高发的一种,但鲜有研究关注建成环境对酒店被盗的影响。论文以2012—2014年ZG市中心城区发生过被盗的星级酒店作为研究样本,在综合分析酒店被盗时空特征的基础上,选取酒店周围500 m范围内的建成环境指标,利用负二项回归模型,对分时段各类型的星级酒店被盗的影响因素进行系统建模分析。结果表明：被盗星级酒店的时空分布呈现典型的集聚分布特征。不同时段空间“主热点”分布相对稳定,“次热点”有所不同。整体来看,提高服务水平对降低星级酒店被盗的作用最为稳定,周围的兴趣点(Point of Interest, POI)数量会显著增加星级酒店被盗的机会,道路交叉口则对星级酒店被盗起显著监管作用。分模型结果显示,服务水平对三星级和五星级酒店被盗的抑制作用显著,道路交叉口则对以商务客人为主的四星级酒店被盗的抑制作用更强,而POI数量对等级较低的三星、四星酒店被盗作用更为明显;大型零售商业中心能显著增加旅游旺季及周末时段的酒店被盗的数量,道路交叉口数量则对旅游淡季、工作日2个时段的星级酒店被盗风险的监控作用显著。研究表明建成环境在影响ZG市星级酒店被盗的机会和成本方面作用显著。结果验证了日常活动理论在中国大城市星级酒店被盗方面研究的适用性,拓展了犯罪地理学在星级酒店被盗方面的研究成果,对酒店盗窃预防有指导意义。

Burglary and outdoor-theft are two frequently studied types of crime. Yet no comprehensive comparisons between their spatial distributions and associating factors in Chinese cities are available to this day. Therefore, drawing on routine activities theory, crime prevention through environmental design (CPTED) and defensible space, utilizing multi-source heterogeneous spatio-temporal data of ZH peninsula, ZG city in southern China, this study aims to examine the effect of the built environment and social environment of neighborhoods on burglary and outdoor-theft, as well as comparative analysis between the two crime types. Results suggest that there are some regularities in ZH peninsula, which means under the background of built environment, the influences of burglary are relatively concentrated, while the influences of outdoor-theft are more dispersed. There exist some relative commonalities and differences in the fact that the social environment and built environment influence and act on burglary and outdoor-theft. On the one hand, the population density, the proportion of juvenile, the density of bus stops and the distance to the city center what show significant impact on the occurrence of burglary and outdoor-theft. What's more, their directions of forces are consistent. On the other hand, the density of road network, the density of retail business, and the density of catering and accommodation are the dominant factor of outdoor-theft. Meanwhile, the education level of residents is the significant factor of burglary. The extension of the results may well provide references for associated prevention and control specific to burglary and outdoor-theft in the communities.

社区环境的基本属性是影响城市犯罪的重要因素,而这两类犯罪相似的空间形态受社区环境哪些因素的影响及作用方式如何未探寻及验证。因此,本文结合日常活动理论、CPTED理论、可防卫空间等理论,以中国东南沿海地区ZG市ZH半岛为例,融合多源异构时空数据,利用偏最小二乘法,检验社区尺度下的建成环境和社会环境,对入室盗窃和室外盗窃的影响进行对比分析。研究发现：① ZH半岛内具有一定的规律性特征,即在建成环境背景下,入室盗窃的影响因素相对集中,而室外盗窃的影响因素较为分散;② 社会环境和建成环境对两类犯罪的影响及作用力存在着相对的共性和差异性,其共性主要表现在人口密度（-）、青少年人口比重（+）、公交站点密度（-）以及到主中心的距离（-）对入室盗窃和室外盗窃的发生都有显著的影响,且作用力方向一致;差异性主要体现在道路网络密度（-）、零售商业密度（+）和餐饮住宿密度（+）是影响室外盗窃发生的主要因子,而居民文化程度（-）显著影响入室盗窃的发生。研究结果的引申,可为社区层面的入室盗窃和室外盗窃的联合防控提供一些参考。

Existing criminal geography research has always focused on the number of cases, but neglected their severity. Limited by the availability of data, cross-sectional analysis was more universal than longitudinal, which would cause endogeneity problems. Furthermore, spatial dependence of different independent variables has not been systematically examined. In order to fill these gaps, this study utilized criminal case records, points of interest, and road network data from 2012 to 2017 in Beijing to explore spatial pattern of crime number and its harm, and clarify the role of urban built environment in their forming process. In order to measure the extent of crime harm, criminal penalty by judicial authorities was used as the indicator. First, this research demonstrated that both crime number and crime harm showed geographical concentration and agglomeration. However, concentration extent of crime harm was higher than crime number, but agglomeration extent of crime harm was lower than crime number. The degree of harmspot's stability was weaker than crimespot, therefore geographical analysis of crime number cannot fully reveal the spatial pattern of social harms caused by criminal cases. Second, permeable space postulated by street eyes theory was unable to inhibit criminal activities, while high density land use, diversified urban functions, convenient transport branch networks, and close spatial proximity to crime-prone areas could lead to the increase of crime number and crime harm, which is consistent with the prediction of defensible space theory. Additionally, crime harm was more susceptible to conducive built environment factors. Third, most influences caused by various characteristics of the built environment showed spatial dependence. Specifically, density, diversity, design of road network, as well as commercial place had agglomeration spillover effect, which meant that both local and neighboring environmental elements had positive relationship with native criminal activities. In contrast, local educational institutions, parks, squares, hotels, bus stops, parking lots, and residential areas that were strictly supervised had no effect or negative effect on native criminal activities, but neighboring attractors had significant positive impact on native criminal patterns. Because of this spatial competition effect, security measures should not confine to local areas and attractors.

既有犯罪地理研究存在“重犯罪数量、轻犯罪危害”“多横向分析、少纵向分析”“求本地影响、弃空间依赖”等局限。为此,论文利用2012—2017年北京刑事案件、兴趣点、道路网等3期面板数据,以个案刑罚结果衡量其社会危害性,探究犯罪发生数量与危害程度的空间结构,厘清建成环境对两者的影响异同。研究表明：① 犯罪数量与危害均呈集中集聚格局,但犯罪危害的集中程度高于数量、集聚程度低于数量、稳定程度相对偏弱。② 如防卫空间理论所言,高强度土地利用、多样化城市功能、通达的次干道支路网、邻近诱发地都对犯罪数量和危害发挥正向作用,后者所受影响更大。③ 建成环境的上述影响大多存在空间依赖,3D维度和商业场所具有集聚溢出效应,管制较严的教育科研机构、公园广场、旅馆、公交站、停车场、居民区表现出内低外高式的空间竞争效应。

犯罪具有明显的时空特征,研究犯罪问题离不开时间和空间维度分析,以及产生犯罪的社会、地理、生态、环境等因素。风险地形建模是美国学者研发的空间风险评估和警务预测技术,已在全球六大洲45个国家和美国35个州得到了独立测试和验证,被广泛应用于警务预测、国土安全、交通事故、公共医疗、儿童虐待、环境污染、城市发展等多个领域。在毒品、纵火、爆炸、强奸、抢劫、盗窃等犯罪研究领域更是取得了显著成果。本文运用犯罪热点分析和风险地形建模,以长三角地区N市毒品犯罪为研究对象,对该市2015年毒品犯罪的危险因子、空间盲区、风险地形进行分析,探索毒品犯罪的生成机理和演化规律,并对2016年毒品犯罪进行预测。研究结果表明,N市毒品犯罪呈现明显的犯罪热点和冷点;出租屋、酒店、车站、ATM机、停车场、娱乐场所、城市快速路、网吧是N市毒品犯罪的风险性因素。风险地形建模能较好地预测毒品犯罪。公安机关禁毒部门应据此进行严密管控,逐步限制、消除犯罪产生地、犯罪吸引地、犯罪促进地的生存土壤和条件。

Urban crime has increasingly become a major issue in the context of rapid urbanization in China. Investigating the patterns and effects of spatial factors on urban crime is of great importantce for urban public safety and security. The relationship between robbery and spatial factors has long been a popular topic in crime research. Focusing on the DP peninsula of H City as the study area and using a total number of 373 street robbery incidences obtained from the Public Security Bureau Call for Service Data in the period of 2006-2011, this study examines the spatial heterogeneity in the effects of micro-spatial factors on street robberies by Moran's I, ordinary least squared regression (OLS) model and geographically weighted regression (GWR) model. Firstly, a theoretical framework is developed for analyzing the impacts of micro scale spatial factors on street robbery. Those micro scale spatial variables are identified based on two criminal justice theories - routine activities theory and rational choice theory. Those variables include the number of bus stops, the number of intersections, the length of road net, the distance to the nearest police station, the degree of mixed land use, and the distance to the nearest exit of the peninsula. Secondly, based on the kernel density estimation approach, the variation of crime density is estimated for each grid and is modeled as a function of those contextual micro-spatial variables. The number of micro-spatial variables was cut down with the OLS model test. The analytical results show that spatial heterogeneity exists in the effects of micro-spatial factors on street robberies in the DP peninsula by GWR model test. Especially, the number of bus stops has both positive and negative effects on the crime density, and the effects vary significantly and spatially. The results shed new light on the effects of the spatial factors on crime rate at local scale and suggest the pitfalls of the global averaging model. Overall, the proposed method in this study has the potential to help local police department to identify micro-spatial factors areas with high crime density more explicitly and thus could improve the effectiveness of crime control and prevention efforts centered on street robberies.

在快速城镇化的背景下,日益严重的城市犯罪问题已经严重影响了城市的安定与繁荣,深入研究城市犯罪的空间影响因素对于未来城市安全发展具有重要意义。以H市DP半岛上2006-2011年发生的373起街头抢劫案件为研究对象,通过将研究区域网格划分为233个样本单元,以核密度处理方式将原始案件点转化为每个格网单元的犯罪强度（密度）作为因变量,结合“日常活动理论”与“理性选择理论”选取微观空间因素作为自变量,最终采用地理加权回归模型分析微观空间因素对街头抢劫案件发生强度的空间异质性现象。研究表明：公交站点个数变量、交叉口个数变量、土地利用混合程度变量与最近出岛口距离变量,对街头抢劫发生的影响程度存在空间异质性现象,尤其是公交站点个数变量在GWR模型中表现出随空间位置的不同呈现显著的正负两种影响效果。警务部门可以参照该结果针对不同局部区域的高影响微观空间因素进行重点防控,提高警务效率,从而更有效地防范和抑制街头抢劫犯罪的发生。